Citations 2022

Scientific monographs

 

• CAPEK, Ignác. Noble Metal Nanoparticles : Preparation, Composite Nanostructures, Biodecoration and Collective Properties. Springer, 2017. xvii, 554 p. ISBN 978-4-431-56554-3. https://doi.org/10.1007/978-4-431-56556-7_2
  

WOS citations: 2; other citations: 1

1. [1.1] KIM, D. – LEE, C. – ISLAM, A. – CHOI, D. – JEONG, G. – KIM, T. – CHO, H. – KIM, Y. – SHAH, S. – PARK, M. – KIM, S. – LEE, H. – LEE, J. – BANG, S. – BAE, T. – PARK, J. – YU, S. – KANG, Y. – PARK, J. – PARK, M. – JEONG, Y. – LEE, S. – JIN, J. – KIM, K. – SUJAK, M. – MOON, S. – PARK, S. – SONG, M. – KIM, C. – RYU, S. Efficient Photon Extraction in Top‐Emission Organic Light‐Emitting Devices Based on Ampicillin Microstructures. In ADVANCED MATERIALS. ISSN 1521-4095, 2022, vol. 34, no. 32. https://doi.org/10.1002/adma.202202866; WOS

2. [1.1] VERKHOVTSEV, A.V. – NICHOLS, A. – MASON, N.J. – SOLOVYOV, A.V. Molecular Dynamics Characterization of Radiosensitizing Coated Gold Nanoparticles in Aqueous Environment. In JOURNAL OF PHYSICAL CHEMISTRY A. ISSN 1089-5639, APR 14 2022, vol. 126, no. 14, p. 2170-2184. https://doi.org/10.1021/acs.jpca.2c00489; WOS

3. [3.1] ALLHIBY, M.T. – ALJUBOORI, M.S. Study of Optical and Structural Properties of Silver Solution Ag Nanoparticles. In JOURNAL OF EDUCATION AND SCIENCE, 2022, vol. 31, no. 4, p. 10-16. https://doi.org/10.33899/edusj.2022.134548.1256

 

• CAPEK, Ignác. Nanocomposite Structures and Dispersions : Second Edition. Elsevier, 2019. 458 p. ISBN 978-0-444-63748-2. https://doi.org/10.1016/C2015-0-00616-5
  

WOS citations: 1; SCOPUS citations: 1

1. [1.1] WU, Z.Q. – YANG, F. – LI, X.M. – CARROLL, A. – LOA-KUM-CHEUNG, W. – SHEWAN, H.M. – STOKES, J.R. – ZHAO, D.Y. – LI, Q. Solid and hollow nanoparticles templated using non-ionic surfactant-based reverse micelles and vesicles. In COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS. ISSN 0927-7757, FEB 5 2022, vol. 634. https://doi.org/10.1016/j.colsurfa.2021.127917; WOS

2. [1.2] HUSEIEN, G.F. – KHALID, N.H.A. – MIRZAN, J. Nanotechnology for Smart Concrete. Routledge, 2022, ISBN 9781032051277. https://doi.org/10.1201/9781003196143.; SCOPUS

 

Chapters in scientific monographs

 

• PETRÁK, J. – MRAVEC, B. – JURÁNI, M. – BARANOVSKÁ, M. – TILLINGER, A. – HAPALA, I. – FROLLO, Ivan – KVETŇANSKÝ, R. Hypergravity-induced increase in plasma catecholamine and corticosterone levels in telemetrically collected blood of rats during centrifugation. In Stress, Neurotransmitters, and Hormones : Neuroendocrine and Genetic Mechanisms. – Wiley-Blackwell, 2008, vol. 1148, p. 201-208. ISBN 978-1-57331-692-7. https://doi.org/10.1196/annals.1410.060

WOS citations: 1

1. [1.1] MHATRE, S.D. – IYER, J. – PUUKILA, S. – PAUL, A.M. – TAHIMIC, C. – RUBINSTEIN, L. – LOWE, M. – ALWOOD, J.S. – SOWA, M.B. – BHATTACHARYA, S. – GLOBUS, R.K. – RONCA, A.E. Neuro-consequences of the spaceflight environment. In NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS. ISSN 0149-7634, 2022, vol. 132, p. 908-935. https://doi.org/10.1016/j.neubiorev.2021.09.055; WOS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. Microintonation analysis of emotional speech. In Development of Multimodal Interfaces : Active Listening and Synchrony. – Berlin : Springer-Verlag, 2010, lNCS 5967, P. 268-279. ISBN 978-3-642-12396-2. https://doi.org/10.1007/978-3-642-12397-9-22

WOS citations: 1

1. [1.1] GARCIA, M.N.D. Discourse markers in emotional contexts. In ESTUDIOS DE LINGUISTICA-UNIVERSIDAD DE ALICANTE-ELUA. ISSN 0212-7636, 2022, no. 37, p. 155-183. https://doi.org/10.14198/ELUA.19882; WOS

 

• ROSIPAL, Roman. Nonlinear partial least squares: An overview. In Chemoinformatics and Advanced Machine Learning Perspectives : Complex Computational Methods and Collaborative Techniques. – IGI Global, 2010, p. 169-189. ISBN 978-1-61520-911-8. https://doi.org/10.4018/978-1-61520-911-8.ch009

WOS citations: 8; other citations: 1

1. [1.1] EHRE, M. – PAPAIOANNOU, I. – SUDRET, B. – STRAUB, D. Sequential active learning of low-dimensional model representations for reliability analysis. In SIAM JOURNAL ON SCIENTIFIC COMPUTING. ISSN 1064-8275, 2022, vol. 44, no. 3, p. B558-B584. https://doi.org/10.1137/21M1416758; WOS

2. [1.1] GAUTIER, R. – PANDITA, P. – GHOSH, S. – MAVRIS, D. A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes. In INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION. ISSN 2152-5080, 2022, vol. 12, no. 2, p. 19-51. http://dx.doi.org/10.1615/Int.J.UncertaintyQuantification.2021035621; WOS

3. [1.1] HOU, C.K.J. – BEHDINAN, K. Dimensionality Reduction in Surrogate Modeling: A Review of Combined Methods. In DATA SCIENCE AND ENGINEERING. ISSN 2364-1185, 2022, vol. 7, no. 4, p. 402-427. https://doi.org/10.1007/s41019-022-00193-5; WOS

4. [1.1] ISACHENKO, R.V. – STRIJOV, V.V. Quadratic programming feature selection for multicorrelated signal decoding with partial least squares. In EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174, 2022, vol. 207. https://doi.org/10.1016/j.eswa.2022.117967; WOS

5. [1.1] LEMARCQ, V. – VAN DE WALLE, D. – MONTERDE, V. – SIORIKI, E. – DEWETTINCK, K. Assessing the flavor of cocoa liquor and chocolate through instrumental and sensory analysis: a critical review. In CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION. ISSN 1040-8398, NOV 13 2022, vol. 62, no. 20, p. 5523-5539. https://doi.org/10.1080/10408398.2021.1887076; WOS

6. [1.1] QIN, Y. – LOU, Z. – WANG, Y. – LU, S. – SUN, P. An analytical partial least squares method for process monitoring. In CONTROL ENGINEERING PRACTICE. ISSN 0967-0661, 2022, vol. 124. https://doi.org/10.1016/j.conengprac.2022.105182; WOS

7. [1.1] SETON, R. – PERSSON, A. A structured evaluation of regression models for predicting CO2 concentration from plasma emission spectra. In SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY. ISSN 0584-8547, 2022, vol. 194. https://doi.org/10.1016/j.sab.2022.106467; WOS

8. [1.1] XIOURAS, C. – CAMELI, F. – QUILLO, G.L. – KAVOUSANAKIS, M.E. – VLACHOS, D.G. – STEFANIDIS, G.D. Applications of Artificial Intelligence and Machine Learning Algorithms to Crystallization. In CHEMICAL REVIEWS. ISSN 0009-2665, 2022. https://doi.org/10.1021/acs.chemrev.2c00141; WOS

9. [3.1] WANG, Z. – IERAPETRITOU, M. Applications of optimization in the pharmaceutical process development. In HOW TO DESIGN AND IMPLEMENT POWDER-TO-TABLET CONTINUOUS MANUFACTURING SYSTEMS, 2022, p. 271-299. https://doi.org/10.1016/B978-0-12-813479-5.00012-4

 

• WITKOVSKÝ, Viktor – WIMMER, G. Generalized polynomial comparative calibration: Parameter estimation and applications. In Advances in Measurements and Instrumentation : Reviews, Vol. 1. – International Frequency Sensor Association (IFSA) Publishing, 2018, p. 15-52. ISBN 978-84-09-07321-4.

Other citations: 1

1. [3.1] ZAKHAROV, I. – NEYEZHMAKOV, P. – SEMENIKHIN, V. – WARSZAM, Z.L. Measurement Uncertainty Evaluation of Parameters Describing the Calibrated Curves. In AUTOMATION 2022: NEW SOLUTIONS AND TECHNOLOGIES FOR AUTOMATION, ROBOTICS AND MEASUREMENT TECHNIQUES. Springer, 2022, AISC vol. 1427. https://doi.org/10.1007/978-3-031-03502-9_38

 

Academic/university textbooks

 

• PALENČÁR, R. – WIMMER, G. – PALENČÁR, J. – WITKOVSKÝ, Viktor. Navrhovanie a vyhodnocovanie meraní [Design and Evaluation of Measurements]. Recenzenti: M. Dovica, D. Janáčová, J. Markovič. 1. vydanie. Bratislava : Slovenská technická univerzita v Bratislave, 2021. 160 s. ISBN 978-80-227-5080-6.

WOS citations: 1

1. [1.1] JABLONICKY, J. – FERIANCOVA, P. – TULIK, J. – HUJO, L. – TKAC, Z. – KUCHAR, P. – TOMIC, M. – KASZKOWIAK, J. Assessment of Technical and Ecological Parameters of a Diesel Engine in the Application of New Samples of Biofuels. In JOURNAL OF MARINE SCIENCE AND ENGINEERING. ISSN 2077-1312, 2022, vol. 10, no. 1. https://doi.org/10.3390/jmse10010001; WOS

 

Scientific papers in foreign journals registered in Current Contents Connect with IF (impacted)

 

• ANDRIS, Peter – DERMEK, Tomáš – FROLLO, Ivan. Simplified matching and tuning experimental receive coils for low-field NMR measurements. In Measurement, 2015, vol. 64, p. 29-33. (2014: 1.484 – IF, Q2 – JCR, 0.676 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 0263-2241. https://doi.org/10.1016/j.measurement.2014.12.035

WOS citations: 1

1. [1.1] LIN, T.T. – ZHOU, K. – CAO, Y.M. – WAN, L. A review of Air-Core coil sensors in surface geophysical exploration. In MEASUREMENT. ISSN 0263-2241, JAN 2022, vol. 188. https://doi.org/10.1016/j.measurement.2021.110554; WOS

 

• APPRICH, S. – SCHREINER, M. – SZOMOLÁNYI, Pavol – WELSCH, G.H. – KOLLER, U.K. – WEBER, M. – WINDHAGER, R. – TRATTNIG, S. Potential predictive value of axial T2 mapping at 3 Tesla MRI in patients with untreated patellar cartilage defects over a mean follow-up of four years. In Osteoarthritis and Cartilage, 2020, vol. 28, no. 2, p. 215-222. (2019: 4.793 – IF, Q1 – JCR, 1.828 – SJR, Q1 – SJR). (2020 – Current Contents). ISSN 1063-4584. https://doi.org/10.1016/j.joca.2019.10.009

WOS citations: 1

1. [1.1] LIU, L.L. – LIU, H.A. – ZHEN, Z.M. – ZHENG, Y.L. – ZHOU, X.Y. – RAITHEL, E. – DU, J. – HU, Y. – CHEN, W. – HU, X.F. Analysis of Knee Joint Injury Caused by Physical Training of Freshmen Students Based on 3T MRI and Automatic Cartilage Segmentation Technology: A Prospective Study. In FRONTIERS IN ENDOCRINOLOGY. ISSN 1664-2392, MAY 9 2022, vol. 13. https://doi.org/10.3389/fendo.2022.839112; WOS

 

• APPRICH, S. – WELSCH, G.H. – MAMISCH, T.C. – SZOMOLÁNYI, Pavol – MAYERHOEFER, M.E. – PINKER, K. – TRATTNIG, S. Detection of degenerative cartilage disease: Comparison of high-resolution morphological MR and quantitative T2 mapping at 3.0 Tesla. In Osteoarthritis and Cartilage, 2010, vol. 18, no. 9, p. 1211-1217. (2009: 3.888 – IF, Q2 – JCR, 1.797 – SJR, Q1 – SJR). (2010 – Current Contents). ISSN 1063-4584. https://doi.org/10.1016/j.joca.2010.06.002

WOS citations: 6; SCOPUS citations: 1; other citations: 3

1. [1.1] BANJAR, M. – HORIUCHI, S. – GEDEON, D.N. – YOSHIOKA, H. An Invited Review for the Special 20th Anniversary Issue of MRMS Review of Quantitative Knee Articular Cartilage MR Imaging. In MAGNETIC RESONANCE IN MEDICAL SCIENCES. ISSN 1347-3182, 2022, vol. 21, no. 1, p. 29-40. https://doi.org/10.2463/mrms.rev.2021-0052; WOS

2. [1.1] GUNAY, A.E. – KARAMAN, I. – GUNEY, A. – KARAMAN, Z.F. – DEMIRPOLAT, E. – GONEN, Z.B. – DOGAN, S. – YERER, M.B. Assessment of clinical, biochemical, and radiological outcomes following intra-articular injection of Wharton jelly-derived mesenchymal stromal cells in patients with knee osteoarthritis: A prospective clinical study. In MEDICINE. ISSN 0025-7974, SEP 16 2022, vol. 101, no. 37. https://doi.org/10.1097/MD.0000000000030628; WOS

3. [1.1] KASAR, S. – OZTURK, M. – POLAT, A.V. Quantitative T2 mapping of the sacroiliac joint cartilage at 3T in patients with axial spondyloarthropathies. In EUROPEAN RADIOLOGY. ISSN 0938-7994, FEB 2022, vol. 32, no. 2, p. 1395-1403. https://doi.org/10.1007/s00330-021-08357-z; WOS

4. [1.1] OCHI, H. – KOBAYASHI, H. – BABA, T. – NAKAJIMA, R. – KURITA, Y. – KATO, S. – SASAKI, K. – NOZAWA, M. – KIM, S.G. – SAKAMOTO, Y. – HOMMA, Y. – KANEKO, K. – ISHIJIMA, M. Acetabular cartilage abnormalities in elderly patients with femoral neck fractures. In SICOT-J. ISSN 2426-8887, JUN 14 2022, vol. 8. https://doi.org/10.1051/sicotj/2022022; WOS

5. [1.1] SCHUTZ, U. – MARTENSEN, T. – KLEINER, S. – DREYHAUPT, J. – WEGENER, M. – WILKE, H.J. – BEER, M. T2*-Mapping of Knee Cartilage in Response to Mechanical Loading in Alpine Skiing: A Feasibility Study. In DIAGNOSTICS. JUN 2022, vol. 12, no. 6. https://doi.org/10.3390/diagnostics12061391; WOS

6. [1.1] WONGRATWANICH, P. – NAGASAKI, T. – SHIMABUKURO, K. – KONISHI, M. – OHTSUKA, M. – SUEI, Y. – NAKAMOTO, T. – AKIYAMA, Y. – AWAI, K. – KAKIMOTO, N. Intra- and inter-examination reproducibility of T2 mapping for temporomandibular joint assessment at 3.0 T. In SCIENTIFIC REPORTS. ISSN 2045-2322, JUN 29 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-15184-9; WOS

7. [1.2] FERNANDES, T.L. – DE SANTANNA, J.P.C. – FIORIO, B.A.P. – DE FARIA, R.R. – PEDRINELLI, A. – BORDALO, M. State of the art for articular cartilage morphological and composition imaging evaluation in football players. In JOURNAL OF CARTILAGE AND JOINT PRESERVATION, 2022, vol. 2, no. 2. https://doi.org/10.1016/j.jcjp.2022.100067; SCOPUS

8. [3.1] ABREU, F.G. – ANDRADE, R. – PERETTI, A.T. – CANADAS, R.F. – REIS, R.L. – OLIVEIRA, J.M. – ESPREGUEIRA-MENDES, J. Diagnosis of Cartilage and Osteochondral Defect. In JOINT FUNCTION PRESERVATION. Springer, 2022, 95-106. https://doi.org/10.1007/978-3-030-82958-2_8

9. [3.1] DAI, X. – LI, M. – MA, H. Weight-bearing cross-country running influences on the knee articular cartilage -a study using T2 MRI and muscle monitoring. In FRONTIERS IN COMPUTING AND INTELLIGENT SYSTEMS, 2022, vol. 1, no. 3, p. 17–20. https://doi.org/10.54097/fcis.v1i3.2017

10. [3.1] RAJITHA, D. – ELANGOVAN, S. – RAJADURAI, M. – SATHYANATH, A. Early degenerative changes in shoulder joint on T2 relaxometry (Cartigram). In OPEN JOURNAL OF CLINICAL AND MEDICAL CASE REPORTS, 2022, vol. 8, no. 14. https://jclinmedcasereports.com/articles/OJCMCR-1903.pdf

 

• APPS, A. – VALKOVIČ, Ladislav – PETERZAN, M. – LAU, J.Y.C. – HUNDERTMARK, M. – CLARKE, W. – TUNNICLIFFE, E.M. – ELLIS, J. – TYLER, D.J. – NEUBAUER, S. – RIDER, O. – RODGERS, C.T. – SCHMID, A.I. Quantifying the effect of dobutamine stress on myocardial Pi and pH in healthy volunteers: A 31P MRS study at 7T. In Magnetic Resonance in Medicine, 2021, vol. 85, no. 3, p. 1147-1159. (2020: 4.668 – IF, Q1 – JCR, 1.696 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 0740-3194. https://doi.org/10.1002/mrm.28494

WOS citations: 1; other citations: 1

1. [1.1] GUPTA, A. Cardiac P-31 MR spectroscopy: development of the past five decades and future vision-will it be of diagnostic use in clinics? In HEART FAILURE REVIEWS, 2022. ISSN 1382-4147. https://doi.org/10.1007/s10741-022-10287-x; WOS

2. [3.1] CHEN, Y. – DONG, W. – YANG, Y. – CHRISTEL BELL, A. – AZURE, J.A. – WANG, Y. Mechanical stress concealed force enhancement and ionic transient membrane potential and metabolism in akinesia of stress cardiomyopathy. In SCIENCE OPEN, 2022, https://doi.org/10.14293/S2199-1006.1.SOR-.PPQOCKA.v1

 

• ARENDACKÁ, Barbora. Generalized confidence intervals on the variance component in mixed linear models with two variance components. In Statistics, 2005, vol. 39, no. 4, p. 275-286. (2004: 0.323 – IF). (2005 – Current Contents). ISSN 0233-1888.

SCOPUS citations: 1

1. [1.2] JIRATAMPRADAB, A. – SUPAPAKORN, T. – SUNTORNCHOST, J. Comparison of confidence intervals for variance components in an unbalanced one-way random effects model. In STATISTICS IN TRANSITION NEW SERIES, 2022, vol. 23, no. 4, p. 149-160. ISSN 1234-7655. https://doi.org/10.2478/stattrans-2022-0047; SCOPUS

 

• BALÁŽ, P. – ACHIMOVIČOVÁ, M. – BALÁŽ, M. – BILLIK, Peter – CHERKEZOVA-ZHELEVA, Z. – CRAIDO, J.M. – DELOGU, F. – DUTKOVÁ, E. – GAFFET, E. – GOTOR, F.J. – KUMAR, R. – MITOV, I. – ROJAC, T. – SENNA, M. – STRELETSKII, A. – WIECZOREK-CIUROWA, K. Hallmarks of mechanochemistry: From nanoparticles to technology. In Chemical Society Reviews, 2013, vol. 42, p. 7571-7637. (2012: 24.892 – IF, Q1 – JCR, 15.022 – SJR, Q1 – SJR). (2013 – Current Contents). ISSN 0306-0012. https://doi.org/10.1039/c3cs35468g

WOS citations: 78; SCOPUS citations: 5; other citations: 11

1. [1.1] ABED, M.H. – ABBAS, I.S. – CANAKCI, H. Effect of glass powder on the rheological and mechanical properties of slag-based mechanochemical activation geopolymer grout. In EUROPEAN JOURNAL OF ENVIRONMENTAL AND CIVIL ENGINEERING. 2022, ISSN 1964-8189. https://doi.org/10.1080/19648189.2022.2145374; WOS

2. [1.1] ABED, M.H. – ABBAS, I.S. – HAMED, M. – CANAKCI, H. Rheological, fresh, and mechanical properties of mechanochemically activated geopolymer grout: A comparative study with conventionally activated geopolymer grout. In CONSTRUCTION AND BUILDING MATERIALS. ISSN 0950-0618, MAR 7 2022, vol. 322. https://doi.org/10.1016/j.conbuildmat.2022.126338; WOS

3. [1.1] ALBAB, N.D. – NAM, H. – HAN, C. – OMASTOVA, M. – CHEHIMI, M.M. – MOHAMED, A.A. Mechanochemical synthesis of gold-silver nanocomposites via diazonium salts. In INORGANIC CHEMISTRY COMMUNICATIONS. ISSN 1387-7003, MAR 2022, vol. 137. https://doi.org/10.1016/j.inoche.2022.109231; WOS

4. [1.1] ALRBAIHAT, M. – AL-ZEIDANEEN, F.K. – ABU-AFIFEH, Q. Reviews of the kinetics of Mechanochemistry: Theoretical and Modeling Aspects. In MATERIALS TODAY-PROCEEDINGS. ISSN 2214-7853, 2022, vol. 65, 8, p. 3651-3656. https://doi.org/10.1016/j.matpr.2022.06.195; WOS

5. [1.1] ALRBAIHAT, M. A Review of Size Reduction techniques Using Mechanochemistry Approach. In EGYPTIAN JOURNAL OF CHEMISTRY. ISSN 0449-2285, JUN 2022, vol. 65, no. 6, p. 551-558. https://doi.org/10.21608/EJCHEM.2021.105136.4848; WOS

6. [1.1] AMGHAR, N. – ORTIZ, C. – PEREJON, A. – VALVERDE, J.M. – MAQUEDA, L.P. – JIMENEZ, P.E.S. The SrCO3/SrO system for thermochemical energy storage at ultra-high temperature. In SOLAR ENERGY MATERIALS AND SOLAR CELLS. ISSN 0927-0248, MAY 2022, vol. 238. https://doi.org/10.1016/j.solmat.2022.111632; WOS

7. [1.1] BLAZQUEZ, J.S. – ROMERO, F.J. – CONDE, C.F. – CONDE, A. A Review of Different Models Derived from Classical Kolmogorov, Johnson and Mehl, and Avrami (KJMA) Theory to Recover Physical Meaning in Solid-State Transformations. In PHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS. ISSN 0370-1972, JUN 2022, vol. 259, no. 6. https://doi.org/10.1002/pssb.202100524; WOS

8. [1.1] CHATZIADI, A. – SKOREPOVA, E. – KOHOUT, M. – RIDVAN, L. – SOOS, M. Exploring the polymorphism of sofosbuvir via mechanochemistry: effect of milling jar geometry and material. In CRYSTENGCOMM. MAR 14 2022, vol. 24, no. 11, p. 2107-2117. https://doi.org/10.1039/d1ce01561c; WOS

9. [1.1] CHEN, Y.Q. – QIAO, S.S. – TANG, Y.H. – DU, Y. – ZHANG, D.Y. – WANG, W.J. – XIE, H.J. – LIU, C.B. Precise and scalable fabrication of metal pair-site catalysts enabled by intramolecular integrated donor atoms. In JOURNAL OF MATERIALS CHEMISTRY A. ISSN 2050-7488, DEC 6 2022, vol. 10, no. 47, p. 25307-25318. https://doi.org/10.1039/d2ta06091d; WOS

10. [1.1] DE BELLIS, J. – OCHOA-HERNANDEZ, C. – FARES, C. – PETERSEN, H. – TERNIEDEN, J. – WEIDENTHALER, C. – AMRUTE, A.P. – SCHUTH, F. Surface and Bulk Chemistry of Mechanochemically Synthesized Tohdite Nanoparticles. In JOURNAL OF THE AMERICAN CHEMICAL SOCIETY. ISSN 0002-7863, JUN 1 2022, vol. 144, no. 21, p. 9421-9433. https://doi.org/10.1021/jacs.2c02181; WOS

11. [1.1] EL-SADEK, M.H. – FARAHAT, M.M. – ALI, H.H. – ZAKI, Z.I. Synthesis of SrTiO3 from celestite and rutile by mechanical activation assisted Solid-State reaction. In ADVANCED POWDER TECHNOLOGY. ISSN 0921-8831, MAY 2022, vol. 33, no. 5. https://doi.org/10.1016/j.apt.2022.103548; WOS

12. [1.1] ESPERTO, L. – FIGUEIRA, I. – MASCARENHAS, J. – SILVA, T.P. – CORREIA, J.B. – NEVES, F. Structural and Optical Characterization of Mechanochemically Synthesized CuSbS2 Compounds. In MATERIALS. JUN 2022, vol. 15, no. 11. https://doi.org/10.3390/ma15113842; WOS

13. [1.1] GAUDINO, E.C. – GRILLO, G. – MANZOLI, M. – TABASSO, S. – MACCAGNAN, S. – CRAVOTTO, G. Mechanochemical Applications of Reactive Extrusion from Organic Synthesis to Catalytic and Active Materials. In MOLECULES. JAN 2022, vol. 27, no. 2. https://doi.org/10.3390/molecules27020449; WOS

14. [1.1] GONNET, L. – LENNOX, C.B. – DO, J.L. – MALVESTITI, I. – KOENIG, S.G. – NAGAPUDI, K. – FRISCIC, T. Metal-Catalyzed Organic Reactions by Resonant Acoustic Mixing**. In ANGEWANDTE CHEMIE-INTERNATIONAL EDITION. ISSN 1433-7851, MAR 21 2022, vol. 61, no. 13. https://doi.org/10.1002/anie.202115030; WOS

15. [1.1] GOYAL, D. – GOYAL, C.P. – IKEDA, H. – MALAR, P. Effect of antimony doping in mechanochemically synthesized Cu2ZnSnSe4. In JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS. ISSN 0957-4522, MAY 2022, vol. 33, no. 13, p. 10450-10460. https://doi.org/10.1007/s10854-022-08032-z; WOS

16. [1.1] GROLS, J.R. – CASTRO-DOMINGUEZ, B. Intelligent Mechanochemical Design of Co-Amorphous Mixtures. In CRYSTAL GROWTH & DESIGN. ISSN 1528-7483, MAY 4 2022, vol. 22, no. 5, p. 2989-2996. https://doi.org/10.1021/acs.cgd.1c01442; WOS

17. [1.1] HAJIALI, F. – JIN, T. – YANG, G. – SANTOS, M. – LAM, E. – MOORES, A. Mechanochemical Transformations of Biomass into Functional Materials. In CHEMSUSCHEM. ISSN 1864-5631, APR 7 2022, vol. 15, no. 7. https://doi.org/10.1002/cssc.202102535; WOS

18. [1.1] HALABI, A.A. – ELWAKIL, B.H. – HAGAR, M. – OLAMA, Z.A. Date Fruit (Phoenix dactylifera L.) Cultivar Extracts: Nanoparticle Synthesis, Antimicrobial and Antioxidant Activities. In MOLECULES. AUG 2022, vol. 27, no. 16. https://doi.org/10.3390/molecules27165165; WOS

19. [1.1] HAN, G.F. – ZHANG, P. – SCHOLZEN, P. – NOH, H.J. – YANG, M.Y. – KWEON, D. – JEON, J.P. – KIM, Y.H. – KIM, S.W. – HAN, S.P. – ANDREEV, A.S. – LANG, G. – IHM, K. – LI, F. – DE LACAILLERIE, J.B.D. – BAEK, J.B. Extreme Enhancement of Carbon Hydrogasification via Mechanochemistry. In ANGEWANDTE CHEMIE-INTERNATIONAL EDITION. ISSN 1433-7851, APR 25 2022, vol. 61, no. 18. https://doi.org/10.1002/anie.202117851; WOS

20. [1.1] HANSMA, H.G. Potassium at the Origins of Life: Did Biology Emerge from Biotite in Micaceous Clay?. In LIFE-BASEL. FEB 2022, vol. 12, no. 2. https://doi.org/10.3390/life12020301; WOS

21. [1.1] HE, C.L. – LI, Q.D. – ZHANG, X.Y. – LU, Y.X. – QIU, D. – CHEN, Y. – CUI, X.L. Mechanochemical Synthesis of Ammonia Employing H2O as the Proton Source Under Room Temperature and Atmospheric Pressure. In ACS SUSTAINABLE CHEMISTRY & ENGINEERING. ISSN 2168-0485, JAN 17 2022, vol. 10, no. 2, p. 746-755. https://doi.org/10.1021/acssuschemeng.1c05643; WOS

22. [1.1] HE, H.P. – YANG, B. – WU, D.L. – GAO, X.F. – FEI, X.C. Applications of crushing and grinding-based treatments for typical metal-containing solid wastes: Detoxification and resource recovery potentials*. In ENVIRONMENTAL POLLUTION. ISSN 0269-7491, DEC 1 2022, vol. 314. https://doi.org/10.1016/j.envpol.2022.120034; WOS

23. [1.1] HU, Y.H. – GU, W.J. – HU, H.M. – LI, X.W. – ZHANG, Q.W. Mechanically activated calcium carbonate and zero-valent iron composites for one-step treatment of multiple pollutants. In ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. ISSN 0944-1344, APR 2022, vol. 29, no. 18, p. 27421-27429. https://doi.org/10.1007/s11356-021-17899-0; WOS

24. [1.1] JIN, S. – MU, D.Y. – LU, Z. – LI, R.H. – LIU, Z. – WANG, Y. – TIAN, S. – DAI, C.S. A comprehensive review on the recycling of spent lithium-ion batteries: Urgent status and technology advances. In JOURNAL OF CLEANER PRODUCTION. ISSN 0959-6526, MAR 15 2022, vol. 340. https://doi.org/10.1016/j.jclepro.2022.130535; WOS

25. [1.1] JOY, J. – KRISHNAMOORTHY, A. – TANNA, A. – KAMATHE, V. – NAGAR, R. – SRINIVASAN, S. Recent Developments on the Synthesis of Nanocomposite Materials via Ball Milling Approach for Energy Storage Applications. In APPLIED SCIENCES-BASEL. SEP 2022, vol. 12, no. 18. https://doi.org/10.3390/app12189312; WOS

26. [1.1] JULIEN, P. – FRISCIC, T. Methods for Monitoring Milling Reactions and Mechanistic Studies of Mechanochemistry: A Primer. In CRYSTAL GROWTH & DESIGN. ISSN 1528-7483, SEP 7 2022, vol. 22, no. 9, p. 5726-5754. https://doi.org/10.1021/acs.cgd.2c00587; WOS

27. [1.1] KATO, K. – SUDO, T. – XIN, Y.Z. – SHIRAI, T. Sustainable and green synthesis of hydrogen tungsten bronze nanoparticles with nanocarbon via mechanically induced hydrogen spillover. In CERAMICS INTERNATIONAL. ISSN 0272-8842, FEB 1 2022, vol. 48, no. 3, p. 4115-4123. https://doi.org/10.1016/j.ceramint.2021.10.202; WOS

28. [1.1] KIM, K.C. – JIANG, T. – KIM, N.I. – KWON, C. Effects of ball-to-powder diameter ratio and powder particle shape on EDEM simulation in a planetary ball mill. In JOURNAL OF THE INDIAN CHEMICAL SOCIETY. ISSN 0019-4522, JAN 2022, vol. 99, no. 1. https://doi.org/10.1016/j.jics.2021.100300; WOS

29. [1.1] KOSIMOV, A. – YUSIBOVA, G. – ARUVALI, J. – PAISTE, P. – KAARIK, M. – LEIS, J. – KIKAS, A. – KISAND, V. – SMITS, K. – KONGI, N. Liquid-assisted grinding/compression: a facile mechanosynthetic route for the production of high-performing Co-N-C electrocatalyst materials. In GREEN CHEMISTRY. ISSN 1463-9262, JAN 4 2022, vol. 24, no. 1, p. 305-314. https://doi.org/10.1039/d1gc03433b; WOS

30. [1.1] KOZDRA, S. – WOJCIK, A. – MOZDZONEK, M. – FLORCZAK, L. – OPALINSKI, I. – MICHALOWSKI, P.P. Poly (vinylidene fluoride) solid polymer electrolyte structure revealed by secondary ion mass spectrometry. In POLYMER. ISSN 0032-3861, OCT 27 2022, vol. 259. https://doi.org/10.1016/j.polymer.2022.125364; WOS

31. [1.1] KOZMA, G. – RONAVARI, A. – KONYA, Z. – KUKOVECZ, A. Mechanochemically induced solid-state CO2 capture during the synthesis of SnO2 nanoparticles. In JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS. ISSN 0022-3697, AUG 2022, vol. 167. https://doi.org/10.1016/j.jpcs.2022.110775; WOS

32. [1.1] KUMAR, A. – DUTTA, S. – KIM, S. – KWON, T. – PATIL, S.S. – KUMARI, N. – JEEVANANDHAM, S. – LEE, I.S. Solid-State Reaction Synthesis of Nanoscale Materials: Strategies and Applications. In CHEMICAL REVIEWS. ISSN 0009-2665, AUG 10 2022, vol. 122, no. 15, p. 12748-12863. https://doi.org/10.1021/acs.chemrev.1c00637; WOS

33. [1.1] LEROY, C. – MITTELETTE, S. – FELIX, G. – FABREGUE, N. – SPACKOVA, J. – GAVEAU, P. – METRO, T.X. – LAURENCIN, D. Operando acoustic analysis: a valuable method for investigating reaction mechanisms in mechanochemistry. In CHEMICAL SCIENCE. ISSN 2041-6520, JUN 1 2022, vol. 13, no. 21, p. 6328-6334. https://doi.org/10.1039/d2sc01496c; WOS

34. [1.1] LEVITAS, V.I. Resolving puzzles of the phase-transformation-based mechanism of the strong deep-focus earthquake. In NATURE COMMUNICATIONS. OCT 22 2022, vol. 13, no. 1. https://doi.org/10.1038/s41467-022-33802-y; WOS

35. [1.1] LI, L. – XU, Q. – LI, S.L. – ZHANG, W.X. Wet Milling of Zerovalent Iron in Sulfide Solution: Preserving and Securing the Metallic Iron. In ACS ES&T ENGINEERING. APR 8 2022, vol. 2, no. 4, p. 703-712. https://doi.org/10.1021/acsestengg.1c00361; WOS

36. [1.1] LI, Q.F. – YANG, S.Y. – WU, S. – FAN, D.Y. Mechanochemically synthesized Al-Fe (oxide) composite with superior reductive performance: Solid-state kinetic processes during ball milling. In CHEMOSPHERE. ISSN 0045-6535, JUL 2022, vol. 298. https://doi.org/10.1016/j.chemosphere.2022.134280; WOS

37. [1.1] LI, S.W. – CZAP, G. – LI, J. – ZHANG, Y.X. – YU, A. – YUAN, D.W. – KIMURA, H. – WU, R.Q. – HO, W. Confinement-Induced Catalytic Dissociation of Hydrogen Molecules in a Scanning Tunneling Microscope. In JOURNAL OF THE AMERICAN CHEMICAL SOCIETY. ISSN 0002-7863, JUN 8 2022, vol. 144, no. 22, p. 9618-9623. https://doi.org/10.1021/jacs.2c00005; WOS

38. [1.1] LIANG, Z.L. – PENG, G.W. – HU, J.P. – HOU, H.J. – CAI, C. – YANG, X.R. – CHEN, S.J. – LIU, L. – LIANG, S. – XIAO, K.K. – YUAN, S.S. – ZHOU, S.B. – YANG, J.K. Mechanochemically assisted persulfate activation for the facile recovery of metals from spent lithium ion batteries. In WASTE MANAGEMENT. ISSN 0956-053X, SEP 2022, vol. 151, p. 290-300. https://doi.org/10.1016/j.wasman.2022.07.014; WOS

39. [1.1] LOU, Z.M. – SONG, L.D. – LIU, W.Q. – WU, S.H. – HE, F. – YU, J.M. Deciphering CaO-induced peroxydisulfate activation for destruction of halogenated organic pollutants in a low energy vibrational mill. In CHEMICAL ENGINEERING JOURNAL. ISSN 1385-8947, MAR 1 2022, vol. 431, 2. https://doi.org/10.1016/j.cej.2021.134090; WOS

40. [1.1] MA, H.R. – CEN, S.X. – YU, Z.R. – XING, X.Y. – CHEN, J.J. – WANG, D.J. – DONG, C.L. – MAO, Z.Y. One-step mechanochemical transformation of bulk pseudo-boehmite into nanosized alpha-Al2O3. In CERAMICS INTERNATIONAL. ISSN 0272-8842, DEC 1 2022, vol. 48, no. 23, A, p. 35480-35485. https://doi.org/10.1016/j.ceramint.2022.08.154; WOS

41. [1.1] MAKO, E. – OZE, C. The effects of silica fume and diatomaceous earth on the mechanochemical activation and pozzolanic activity of kaolin. In APPLIED CLAY SCIENCE. ISSN 0169-1317, OCT 2022, vol. 228. https://doi.org/10.1016/j.clay.2022.106636; WOS

42. [1.1] MAKWARIMBA, C.P. – TANG, M. – PENG, Y. – LU, S. – ZHENG, L. – ZHAO, Z. – ZHEN, A.G. Assessment of recycling methods and processes for lithium-ion batteries. In ISCIENCE. MAY 20 2022, vol. 25, no. 5. https://doi.org/10.1016/j.isci.2022.104321; WOS

43. [1.1] MALEKI-GHALEH, H. – SHAKERI, M.S. – DARGAHI, Z. – KAVANLOUEI, M. – GARABAGH, H.K. – MORADPUR-TARI, E. – YOURDKHANI, A. – FALLAH, A. – ZARRABI, A. – KOC, B. – SIADATI, M.H. Characterization and optical properties of mechanochemically synthesized molybdenum-doped rutile nanoparticles and their electronic structure studies by density functional theory. In MATERIALS TODAY CHEMISTRY. ISSN 2468-5194, JUN 2022, vol. 24. https://doi.org/10.1016/j.mtchem.2022.100820; WOS

44. [1.1] MALEKI-GHALEH, H. – SIADATI, M.H. – OMIDI, Y. – KAVANLOUEI, M. – BARAR, J. – AKBARI-FAKHRABADI, A. – ADIBKIA, K. – BEYGI-KHOSROWSHAHI, Y. Synchrotron SAXS/WAXS and TEM studies of zinc doped natural hydroxyapatite nanoparticles and their evaluation on osteogenic differentiation of human mesenchymal stem cells. In MATERIALS CHEMISTRY AND PHYSICS, 2022, vol. 276, p. ISSN 0254-0584. https://doi.org/10.1016/j.matchemphys.2021.125346; WOS

45. [1.1] MANOSA, J. – GOMEZ-CARRERA, A.M. – SVOBODOVA-SEDLACKOVA, A. – MALDONADO-ALAMEDA, A. – FERNANDEZ-JIMENEZ, A. – CHIMENOS, J.M. Potential reactivity assessment of mechanically activated kaolin as alternative cement precursor. In APPLIED CLAY SCIENCE. ISSN 0169-1317, OCT 2022, vol. 228. https://doi.org/10.1016/j.clay.2022.106648; WOS

46. [1.1] MARCHINI, M. – GANDOLFI, M. – MAINI, L. – RAGGETTI, L. – MARTELLI, M. Exploring the ancient chemistry of mercury. In PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA. ISSN 0027-8424, JUN 14 2022, vol. 119, no. 24. https://doi.org/10.1073/pnas.2123171119; WOS

47. [1.1] MARTINEZ, L.M. – CRUZ-ANGELES, J. – VAZQUEZ-DAVILA, M. – MARTINEZ, E. – CABADA, P. – NAVARRETE-BERNAL, C. – CORTEZ, F. Mechanical Activation by Ball Milling as a Strategy to Prepare Highly Soluble Pharmaceutical Formulations in the Form of Co-Amorphous, Co-Crystals, or Polymorphs. In PHARMACEUTICS. OCT 2022, vol. 14, no. 10. https://doi.org/10.3390/pharmaceutics14102003; WOS

48. [1.1] MEHTA, B. – SASIKUMAR, C. Mechanochemical Synthesis of PZT Powders and the Effects of Mechanical Activation on Solid-State Sintering Kinetics. In TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS. 2022, ISSN 0972-2815. https://doi.org/10.1007/s12666-022-02774-4; WOS

49. [1.1] NAKASHIMA, Y. – FUKUSHIMA, M. – HYUGA, H. Surface modification of silica powder by mild ball milling. In COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS. ISSN 0927-7757, NOV 5 2022, vol. 652. https://doi.org/10.1016/j.colsurfa.2022.129828; WOS

50. [1.1] ODEBIYI, O.S. – DU, H. – LIU, B. – WANG, S.N. Sustainability of Valuable Metals Recovery from Hazardous Industrial Solid Wastes: The Role of Mechanical Activation. In JOURNAL OF SUSTAINABLE METALLURGY. ISSN 2199-3823, DEC 2022, vol. 8, no. 4, p. 1393-1421. https://doi.org/10.1007/s40831-022-00579-9; WOS

51. [1.1] OLEH, S. – ADAM, I. – YAROSLAV, S. – ZDENKA, L.B. – PETER, B. Nanomilling-driven volumetric changes in multiparticulate As4S4-bearing nanocomposites recognized with a help of annihilating positrons. In APPLIED NANOSCIENCE. 2022, ISSN 2190-5509. https://doi.org/10.1007/s13204-022-02654-9; WOS

52. [1.1] PAVLOVA, S. – IVANOVA, Y. – TSYBULYA, S. – CHESALOV, Y. – NARTOVA, A. – SUPRUN, E. – ISUPOVA, L. Sr2TiO4 Prepared Using Mechanochemical Activation: Influence of the Initial Compounds’; Nature on Formation, Structural and Catalytic Properties in Oxidative Coupling of Methane. In CATALYSTS. SEP 2022, vol. 12, no. 9. https://doi.org/10.3390/catal12090929; WOS

53. [1.1] POLYCHRONOPOULOU, K. – ALKHOORI, S. – ALBEDWAWI, S. – ALAREEQI, S. – HUSSIEN, A.G.S. – VASILIADES, M.A. – EFSTATHIOU, A.M. – PETALLIDOU, K.C. – SINGH, N. – ANJUM, D.H. – VEGA, L.F. – BAKER, M.A. Decoupling the Chemical and Mechanical Strain Effect on Steering the CO2 Activation over CeO2-Based Oxides: An Experimental and DFT Approach. In ACS APPLIED MATERIALS & INTERFACES. ISSN 1944-8244, JUL 27 2022, vol. 14, no. 29, p. 33094-33119. https://doi.org/10.1021/acsami.2c05714; WOS

54. [1.1] PUCCETTI, F. – LUKIN, S. – UZAREVIC, K. – COLACINO, E. – HALASZ, I. – BOLM, C. – HERNANDEZ, J.G. Mechanistic Insights on the Mechanosynthesis of Phenytoin, a WHO Essential Medicine**. In CHEMISTRY-A EUROPEAN JOURNAL. ISSN 0947-6539, MAR 1 2022, vol. 28, no. 13. https://doi.org/10.1002/chem.202104409; WOS

55. [1.1] RAVASZOVA, S. – DVORAK, K. – VAICIUKYNIENE, D. – SISOL, M. Application of a Method for Measuring the Grindability of Fine-Grained Materials by High-Speed Milling. In MATERIALS. NOV 2022, vol. 15, no. 22. https://doi.org/10.3390/ma15228085; WOS

56. [1.1] REVERBERI, A.P. – VOCCIANTE, M. – SALERNO, M. – SODA, O. – FABIANO, B. A sustainable, top-down mechanosynthesis of carbohydrate-functionalized silver nanoparticles. In REACTION CHEMISTRY & ENGINEERING. ISSN 2058-9883, MAR 29 2022, vol. 7, no. 4, p. 888-897. https://doi.org/10.1039/d1re00391g; WOS

57. [1.1] RINAUDO, M.G. – BELTRAN, A.M. – FERNANDEZ, A. – CADUS, L.E. – MORALES, M.R. Pd supported on defective TiO2 polymorphic mixtures: Effect of metal-support interactions upon glycerol selective oxidation. In RESULTS IN ENGINEERING. ISSN 2590-1230, DEC 2022, vol. 16. https://doi.org/10.1016/j.rineng.2022.100737; WOS

58. [1.1] SHAHIN, Y.H. – ELWAKIL, B.H. – GHAREEB, D.A. – OLAMA, Z.A. Micrococcus lylae MW407006 Pigment: Production, Optimization, Nano-Pigment Synthesis, and Biological Activities. In BIOLOGY-BASEL. AUG 2022, vol. 11, no. 8. https://doi.org/10.3390/biology11081171; WOS

59. [1.1] SHANG, Y.Y. – PISTIDDA, C. – MILANESE, C. – GIRELLA, A. – SCHOKEL, A. – LE, T.T. – HAGENAH, A. – METZ, O. – KLASSEN, T. – DORNHEIM, M. Sustainable NaAlH4 production from recycled automotive Al alloy. In GREEN CHEMISTRY. ISSN 1463-9262, MAY 23 2022, vol. 24, no. 10, p. 4153-4163. https://doi.org/10.1039/d1gc04709d; WOS

60. [1.1] SIDDHARTHA – RANGARAJAN, S. – KUNCHUR, H.S. – BALAKRISHNA, M.S. A greener approach towards the synthesis of N-heterocyclic thiones and selones using the mechanochemical technique. In DALTON TRANSACTIONS. ISSN 1477-9226, OCT 25 2022, vol. 51, no. 41, p. 15750-15761. https://doi.org/10.1039/d2dt02322a; WOS

61. [1.1] SONG, L.M. – ZHANG, T. – ZHANG, S.J. – WEI, J.F. – CHEN, E.M. Study on Performance and Mechanism of the Ball-Milling-Driven Piezoelectrochemical Effect on Catalytic Oxidation of Toluene in the Air Condition. In ACS SUSTAINABLE CHEMISTRY & ENGINEERING. ISSN 2168-0485, APR 25 2022, vol. 10, no. 16, p. 5129-5137. https://doi.org/10.1021/acssuschemeng.1c08412; WOS

62. [1.1] STOLAR, T. – ALIC, J. – LONCARIC, I. – ETTER, M. – JUNG, D. – FARHA, O.K. – DILOVIC, I. – MESTROVIC, E. – UZAREVIC, K. Sustainable solid form screening: mechanochemical control over nucleobase hydrogen-bonded organic framework polymorphism. In CRYSTENGCOMM. SEP 26 2022, vol. 24, no. 37, p. 6505-6511. https://doi.org/10.1039/d2ce00668e; WOS

63. [1.1] TAKEDA, H. – KOBAYASHI, A. – TSUGE, K. Recent developments of photoactive Cu(I) and Ag(I) complexes with diphosphine and related ligands. In COORDINATION CHEMISTRY REVIEWS. ISSN 0010-8545, NOV 1 2022, vol. 470. https://doi.org/10.1016/j.ccr.2022.214700; WOS

64. [1.1] TANG, M. – YE, Q. – DU, C. – PENG, Y. – MAKWARIMBA, C.P. – HE, Y. – LU, S. PCDD/F removal at low temperatures over vanadium-based catalyst: insight into the superiority of mechanochemical method. In ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, vol. 29, no. 5, p. 7042-7052. ISSN 0944-1344. https://doi.org/10.1007/s11356-021-15477-y; WOS

65. [1.1] TENG, X.P. – CHEN, J. – SUN, B.S. – LIU, M. – QI, C. – SONG, H.M. – XIONG, F.D. – HE, J.L. Study on the nucleation and growth of In2O3 powders for oxide ceramic targets. In JOURNAL OF ALLOYS AND COMPOUNDS. ISSN 0925-8388, NOV 15 2022, vol. 921. https://doi.org/10.1016/j.jallcom.2022.166130; WOS

66. [1.1] VERGER, L. – TREBOSC, J. – BAPTISTE, B. – FURET, E. – DENOUE, K. – ZHANG, J.J. – CHEVIRE, F. – LE COQ, D. – CALVEZ, L. – LAFON, O. – HERNANDEZ, O. Mechanochemical Synthesis and Study of the Local Structure of NaGaS2 Glass and Glass-Ceramics. In INORGANIC CHEMISTRY. ISSN 0020-1669, NOV 21 2022, vol. 61, no. 46, p. 18476-18485. https://doi.org/10.1021/acs.inorgchem.2c02708; WOS

67. [1.1] WANG, R.H. – ZHANG, Y.H. – SUN, K.W. – QIAN, C.F. – BAO, W.Z. Emerging green technologies for recovery and reuse of spent lithium-ion batteries – a review. In JOURNAL OF MATERIALS CHEMISTRY A. ISSN 2050-7488, AUG 23 2022, vol. 10, no. 33, p. 17053-17076. https://doi.org/10.1039/d2ta03295c; WOS

68. [1.1] WEIDENTHALER, C. In Situ Analytical Methods for the Characterization of Mechanochemical Reactions. In CRYSTALS. MAR 2022, vol. 12, no. 3. https://doi.org/10.3390/cryst12030345; WOS

69. [1.1] WILKE, M. – CASATI, N. A new route to polyoxometalates via mechanochemistry. In CHEMICAL SCIENCE. ISSN 2041-6520, JAN 26 2022, vol. 13, no. 4, p. 1146-1151. https://doi.org/10.1039/d1sc05111c; WOS

70. [1.1] WOHLGEMUTH, M. – MAYER, M. – RAPPEN, M. – SCHMIDT, F. – SAURE, R. – GRATZ, S. – BORCHARDT, L. From Inert to Catalytically Active Milling Media: Galvanostatic Coating for Direct Mechanocatalysis. In ANGEWANDTE CHEMIE-INTERNATIONAL EDITION. ISSN 1433-7851, NOV 21 2022, vol. 61, no. 47. https://doi.org/10.1002/anie.202212694; WOS

71. [1.1] WOODS, H.A. Physiology: Neutral buoyancy by an insect. In CURRENT BIOLOGY. ISSN 0960-9822, FEB 28 2022, vol. 32, no. 4, p. R165-R167. https://doi.org/10.1016/j.cub.2022.01.007; WOS

72. [1.1] XU, Y.P. – XIN, Y.Z. – KATO, K. – SHIRAI, T. A novel sustainable and green mechanochemical route from a (HSiO1.5)(n) polymer to emissive silicon nanocrystals. In JOURNAL OF MATERIALS CHEMISTRY C. ISSN 2050-7526, SEP 15 2022, vol. 10, no. 35, p. 12588-12601. https://doi.org/10.1039/d2tc02352k; WOS

73. [1.1] YIN, Z. – ZHANG, Q.X. – LI, S.Y. – CAGNETTA, G. – HUANG, J. – DENG, S.B. – YU, G. Mechanochemical synthesis of catalysts and reagents for water decontamination: Recent advances and perspective. In SCIENCE OF THE TOTAL ENVIRONMENT. ISSN 0048-9697, JUN 15 2022, vol. 825. https://doi.org/10.1016/j.scitotenv.2022.153992; WOS

74. [1.1] YOON, S. – FETT, B. – FREBEL, A. – KROISL, S. – HERBIG, B. – WIDENMEYER, M. – BALKE, B. – SEXTL, G. – MANDEL, K. – WEIDENKAFF, A. Sb-Substituted Cs2AgBiBr6-As Much As It Could Be?-Influence of Synthesis Methods on Sb-Substitution Level in Cs2AgBiBr6. In ENERGY TECHNOLOGY. ISSN 2194-4288, AUG 2022, vol. 10, no. 8. https://doi.org/10.1002/ente.202200197; WOS

75. [1.1] ZHANG, Q. – LIU, B. – XIAO, K. – EKBERG, C. – ZHANG, S.G. Preparation and hydration of industrial solid waste-cement blends: A review. In INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS. ISSN 1674-4799, DEC 2022, vol. 29, no. 12, p. 2106-2116. https://doi.org/10.1007/s12613-022-2538-9; WOS

76. [1.1] ZHANG, S.Y. – ZHANG, C.L. – ZHANG, X.H. – MA, E. Recovery of Li and Co from Spent Li-Ion Batteries by Mechanochemical Integration with NH4Cl. In ACS SUSTAINABLE CHEMISTRY & ENGINEERING. ISSN 2168-0485, MAY 2 2022, vol. 10, no. 17, p. 5611-5620. https://doi.org/10.1021/acssuschemeng.2c00276; WOS

77. [1.1] ZHANG, Y.Q. – YANG, J. – GE, R.Y. – ZHANG, J.J. – CAIRNEY, J.M. – LI, Y. – ZHU, M.Y. – LI, S. – LI, W.X. The effect of coordination environment on the activity and selectivity of single-atom catalysts. In COORDINATION CHEMISTRY REVIEWS. ISSN 0010-8545, JUN 15 2022, vol. 461. https://doi.org/10.1016/j.ccr.2022.214493; WOS

78. [1.1] ZHUANG, J.H. – WANG, D.S. Current Advances and Future Challenges of Single-atom Catalysis. In CHEMICAL JOURNAL OF CHINESE UNIVERSITIES-CHINESE. ISSN 0251-0790, MAY 10 2022, vol. 43, no. 5. https://doi.org/10.7503/cjcu20220043; WOS

79. [1.2] GONNET, L. – BORCHERS, T.H. – LENNOX, C.B. – VAINAUSKAS, J. – TEOH, Y. – TITI, H.M. – BARRETT, C.J. – KOENIG, S.G. – NAGAPUDI, K. – FRIŠČIĆ, T. The “η-sweet-spot” (ηinfmax/inf) in liquid-assisted mechanochemistry: polymorph control and the role of a liquid additive as either a catalyst or an inhibitor in resonant acoustic mixing (RAM). In FARADAY DISCUSSIONS, 2022, vol. 241, p. 128-149. ISSN 1359-6640. https://doi.org/10.1039/d2fd00131d; SCOPUS

80. [1.2] IFIJEN, I.H. – MALIKI, M. – ANEGBE, B. Synthesis, photocatalytic degradation and antibacterial properties of selenium or silver doped zinc oxide nanoparticles: A detailed review. In OPEN NANO, 2022, vol. 8, p. ISSN 2352-9520. https://doi.org/10.1016/j.onano.2022.100082; SCOPUS

81. [1.2] KARIYAWASAM, L.S. – FILBIN, C. – LOCKE, C. – YANG, Y. From Mechanochemistry to Mechanoresponsive Materials. In SMART STIMULI-RESPONSIVE POLYMERS, FILMS, AND GELS, 2022, p. 1-52. https://doi.org/10.1002/9783527832385.ch1; SCOPUS

82. [1.2] LIU, Q. – LIAO, Y. – WU, Y. – XI, J. – JI, G. Research progress on enhancing leaching efficiency of chalcopyrite. In HUAGONG JINZHAN/CHEMICAL INDUSTRY AND ENGINEERING PROGRESS, 2022, vol. 41, no. 11, p. 6099-6110. ISSN 1000-6613. https://doi.org/10.16085/j.issn.1000-6613.2022-0035; SCOPUS

83. [1.2] ZHANG, K. – QU, X. – ZHU, Y. – LIN, J. – ZHAO, Z. – FAN, H. Progress in preparation of metal-organic framework materials by grinding. In HUAGONG JINZHAN/CHEMICAL INDUSTRY AND ENGINEERING PROGRESS, 2022, vol. 41, no. 10, p. 5465-5473. ISSN 1000-6613. https://doi.org/10.16085/j.issn.1000-6613.2021-2561; SCOPUS

84. [3.1] ALRBAIHAT, M. – ALSHAMAILEH, E. Mechanochemistry’s Role in Nonsteroidal Anti-inflammatory Drugs Development: A Review. In BOHR INTERNATIONAL JOURNAL OF GENERAL AND INTERNAL MEDICINE, 2022, vol. 1, no. 1, p. 17–24. https://doi.org/10.54646/bijgim.005

85. [3.1] BARTALUCCI, E. – SCHUMACHER, C. – HENDRICKX, L. – PUCCETTI, F. – ALMEIDA SILVA, I. – DERVISOGLU, R. – PUTTREDDY, R. – BOLM, C. – WIEGAND, T. Disentangling the effect of pressure on a mechanochemical bromination reaction by solid-state NMR spectroscopy. In CHEMRXIV, 2022, ISSN 2573-2293. https://doi.org/10.26434/chemrxiv-2022-zghv6

86. [3.1] KHILKO, S.L. – KOTENKO, A.A. – ROGATKO, M.I. Interaction of dicationic imidazolium surfactants with natural polyelectrolytes. In HERALD OF TVSU. SERIES: CHEMISTRY. ISSN 1995-0152, 2022, vol. 50, no. 4, p. 173-178. https://doi.org/10.26456/vtchem2022.4.21

87. [3.1] KUMAR, S. – BHARTI, B. – ZHA, X. – OUYANG, F. – REN, P. Recent Development in Industrial Scale Fabrication of Nanoparticles and Their Applications. In LIQUID AND CRYSTAL NANOMATERIALS FOR WATER POLLUTANTS REMEDIATION. CRC Press, 2022, ISBN 9781003091486

88. [3.1] LINBERG, K. – SZYMONIAK, P. – SCHONHALS, A. – EMMERLING, F. – MICHALCHUK, A. The origin of delayed polymorphism in molecular crystals under mechanochemical conditions. . In CHEMRXIV, 2022, ISSN 2573-2293. https://doi.org/10.26434/chemrxiv-2022-04jdf

89. [3.1] MUNOZ TECOCOATZI, M.F. – PÁEZ FRANCO, J.C. – COYOTE DOTOR, G. – DORAZCO GONZÁLEZ, A. – MIRANDA RUVALCABA, R. – MORALES MORALES, D. – GERMÁN ACACIO, J.M. Mecanoquímica: una herramienta importante en la reactividad en el Estado Sólido (Mechanochemistry: an important tool in solid-state reactivity). In TECNOCIENCIA CHIHUAHUA, vol. 16, no. 2, p. e973. https://doi.org/10.54167/tch.v16i2.973

90. [3.1] RICHARD, A. – FERGUSON, M. – FISS, B. – TITI, H. – VALDEZ, J. – PROVATAS, N. – FRISCIC, T. – MOORES, A. In situ Study of Au Nanoparticle Growth in a Mechanochemical-Aging-Based Synthesis. In CHEMRXIV, 2022, ISSN 2573-2293. https://doi.org/10.26434/chemrxiv-2022-r3w01-v2

91. [3.1] TOLE, I. Enhancing the Pozzolanic Activity of Three Natural Clays from Sweden by Mechanochemical Activation Process. In SSRN, 2022. http://dx.doi.org/10.2139/ssrn.4100172

92. [3.1] ZHANG, K. – QU, X. – ZHU, Y. – LIN, J. – ZHAO, Z. – FAN, H. Progress in preparation of metal-organic framework materials by grinding. In CHEMICAL INDUSTRY AND ENGINEERING PROGRESS, 2022, vol. 41, no. 10, p. 5465-5473. https://hgjz.cip.com.cn/CN/Y2022/V41/I10/5465

93. [3.1] ZHANG, Q. – LIU, B. – XIAO, K. – EKBERG, C. – ZHANG, S. Preparation and hydration of industrial solid waste–cement blends: A review. In INTERNATIONAL JOURNAL OF MINERALS, METALLURGY AND MATERIALS (IJMMM). ISSN 1674-4799, 2022, vol. 29, no. 12, p. 2106-2116. http://dx.chinadoi.cn/10.1007/s12613-022-2538-9

94. [3.1] ZIBIAO, L. – JIE, Z. – ENYI, Y. (eds.) Sustainable Nanotechnology, 1st edition. Royal Society of Chemistry, 2022, ISBN 978-1839162558

 

• BARTA, P. – ŠTOLC, Svorad. HBCO correction: Its impact on archaeological absolute dating. In Radiocarbon, 2007, vol. 49, no. 2, p. 465-472. (2006: 2.538 – IF, Q1 – JCR, 2.597 – SJR, Q1 – SJR). (2007 – Current Contents). ISSN 0033-8222. http://dx.doi.org/10.1017/S0033822200042399
  

WOS citations: 5; SCOPUS citations: 1

1. [1.1] GUELLIL, M. – KELLER, M. – DITTMAR, J.M. – INSKIP, S.A. – CESSFORD, C. – SOLNIK, A. – KIVISILD, T. – METSPALU, M. – ROBB, J.E. – SCHEIB, C.L. An invasive Haemophilus influenzae serotype b infection in an Anglo-Saxon plague victim. In GENOME BIOLOGY. ISSN 1474-760X, FEB 3 2022, vol. 23, no. 1. https://doi.org/10.1186/s13059-021-02580-z; WOS

2. [1.1] KURILA, L. – PILICIAUSKIENE, G. – EZERINSKIS, Z. – SAPOLAITE, J. – GARBARAS, A. Vestiges of the Huns? The Radiocarbon-Based Chronology of the Trilobate Arrowheads from Plinkaigalis Cemetery, Central Lithuania. In ACTA ARCHAEOLOGICA. ISSN 0065-101X, DEC 2021, vol. 92, no. 1, p. 52-72. https://doi.org/10.1163/16000390-12340003; WOS

3. [1.1] MASSY, K. – FRIEDRICH, R. – MITTNIK, A. – STOCKHAMMER, P.W. Pedigree-based Bayesian modelling of radiocarbon dates. In PLOS ONE. ISSN 1932-6203, JUN 30 2022, vol. 17, no. 6. https://doi.org/10.1371/journal.pone.0270374; WOS

4. [1.1] NICKLISCH, N. – RAMSTHALER, F. – BUNNEFELD, J.H. – SCHULZ, G. – FRIEDRICH, R. – ALT, K.W. – MELLER, H. Bioarchaeological investigations of the princely grave at Helmsdorf attesting to the violent death of an Early Bronze Age leader. In SCIENTIFIC REPORTS. ISSN 2045-2322, SEP 27 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-20720-8; WOS

5. [1.1] RATH, K. – KAESSNER, A. – MELISCH, C. – POWERS, N. – TICHOMIROWA, M. – NAGY, M. – FRIEDRICH, R. – RIEGE, J. – ROTHE, J. Genetic and isotope analysis of a triple burial from medieval St. Peter?s cemetery in Colln/Berlin. In FORENSIC SCIENCE INTERNATIONAL-GENETICS. ISSN 1872-4973, JUL 2022, vol. 59. https://doi.org/10.1016/j.fsigen.2022.102718; WOS

6. [1.2] ORNA, J. – DUDKOVÁ, V. – ŠNEBERGER, J. – WASIK, B. Radiocarbon dating as a possibility for the identification of a pre-monastic settlement in Plasy. In ARCHAEOLOGIA HISTORICA, 2022, vol. 47, no. 1, p. 151-172. ISSN 0231-5823. https://doi.org/10.5817/AH2022-1-6; SCOPUS

 

• BEAR, L. – SERINAGAOGLU, Y. – GOOD, W. – ŠVEHLÍKOVÁ, Jana – COLL-FONT, J. – VAN DAM, E. – MACLEOD, R. The impact of torso signal processing on noninvasive electrocardiographic imaging reconstructions. In IEEE Transactions on Biomedical Engineering, 2021, vol. 68, no. 2, p. 436-447. (2020: 4.538 – IF, Q2 – JCR, 1.148 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 0018-9294. https://doi.org/10.1109/TBME.2020.3003465

WOS citations: 1; SCOPUS citations: 1

1. [1.1] MELGAREJO-MESEGUER, F.M. – EVERSS-VILLALBA, E. – GUTIERREZ-FERNANDEZ-CALVILLO, M. – MUNOZ-ROMERO, S. – GIMENO-BLANES, F.J. – GARCIA-ALBEROLA, A. – ROJO-ALVAREZ, J.L. Generalization and Regularization for Inverse Cardiac Estimators. In IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. ISSN 0018-9294, OCT 2022, vol. 69, no. 10, p. 3029-3038. https://doi.org/10.1109/TBME.2022.3159733; WOS

2. [1.2] ZHANG, Y. – LIAN, X. – WU, J. The electrodes shirt design for ECG imaging. In ACM INTERNATIONAL CONFERENCE PROCEEDING SERIES, 2022, p. 97-102. https://doi.org/10.1145/3563737.3563753; SCOPUS

 

• BERETA, Martin – TEPLAN, Michal – CHAFAI, D. – RADIL, R. – CIFRA, M. Biological autoluminescence as a noninvasive monitoring tool for chemical and physical modulation of oxidation in yeast cell culture. In Scientific Reports, 2021, vol. 11, art. no. 328. (2020: 4.380 – IF, Q1 – JCR, 1.240 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 2045-2322. https://doi.org/10.1038/s41598-020-79668-2

WOS citations: 1; SCOPUS citations: 1

1. [1.1] JUDAKOVA, Z. – JANOUSEK, L. – CARNECKA, L. – SVANTNEROVA, I. Conductometry as an evaluation tool in research into the impact of low-frequency electromagnetic field irradiation on cells. In 2022 23RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL PROBLEMS OF ELECTRICAL ENGINEERING (CPEE). 2022. https://doi.org/10.1109/CPEE56060.2022.9919688; WOS

2. [1.2] NAUMOVA, E.V. – VLADIMIROV, Y.A. – TUCHIN, V.V. – NAMIOT, V.A. – VOLODYAEV, I.V. Methods of Studying Ultraweak Photon Emission from Biological Objects: III. Physical Methods. In BIOPHYSICS (RUSSIAN FEDERATION), 2022, vol. 67, no. 1, p. 27-58. ISSN 0006-3509. https://doi.org/10.1134/S0006350922010109; SCOPUS

 

• BILLIK, Peter – ČAPLOVIČOVÁ, M. – ČAPLOVIČ, L. – HORVÁTH, B. Mechanochemical-molten salt synthesis of α-Al2O3 platelets. In Ceramics International, 2015, vol. 41, no. 7, p. 8742–8747. (2014: 2.605 – IF, Q1 – JCR, 0.856 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 0272-8842. https://doi.org/10.1016/j.ceramint.2015.03.095

WOS citations: 2

1. [1.1] LI, Y.Y. – HUANG, D. – ZHANG, C.Y. – LI, S. – BAO, Z. – ZHU, S. – WANG, F. High-temperature corrosion behaviour of Pt-modified aluminide coating with solid NaCl deposit in O-2+10 vol% H2O and the influence of pre-oxidation treatment. In CORROSION SCIENCE. ISSN 0010-938X, AUG 1 2022, vol. 204. https://doi.org/10.1016/j.corsci.2022.110421; WOS

2. [1.1] SIKDER, S. – SABAT, S. – BEHERA, S.K. – PAUL, A. Effect of processing parameters on the development of anisotropic alpha-Al2O3 platelets during molten salt synthesis. In CERAMICS INTERNATIONAL. ISSN 0272-8842, APR 15 2022, vol. 48, no. 8, p. 11145-11154. https://doi.org/10.1016/j.ceramint.2021.12.334; WOS

 

• BILLIK, Peter – ANTAL, P. – GYEPES, R. Product of dissolution of V2O5 in the choline chloride–urea deep eutectic solvent. In Inorganic Chemistry Communications, 2015, vol. 60, p. 37-40. (2014: 1.777 – IF, Q3 – JCR, 0.515 – SJR, Q2 – SJR). (2015 – Current Contents). ISSN 1387-7003. https://doi.org/10.1016/j.inoche.2015.07.030

WOS citations: 1; other citations: 1

1. [1.1] MISSINA, J.M. – BOTTINI, R.C.R. – BAPTISTELLA, G.B. – SANTANA, F.S. – STINGHEN, D. – DE SA, E.L. – NUNES, G.G. Synthesis, characterization, DFT calculations and bromoperoxidase activity of binuclear oxidovanadium complexes containing vitamin B6. In JOURNAL OF COORDINATION CHEMISTRY. ISSN 0095-8972, DEC 17 2022, vol. 75, no. 19-24, p. 2901-2922. https://doi.org/10.1080/00958972.2022.2135993; WOS

2. [3.1] SEARA MARTÍNEZ, M. – GARCÍA GÓMEZ, A. – LARRAZA ÁLVAREZ, I. – PENA MARTÍN, E. – BLANCO LÓPEZ, V. – RUIZ MARTÍNEZ-ALCOCER, S. Method of obtainment of nanomaterials composed of carbonaceous material and metal oxides. In US Patent US11505465B2, 2022. https://patents.google.com/patent/US11505465B2/en

 

• BREZOVÁ, V. – BILLIK, Peter – VRECKOVÁ, Z. – PLESCH, G. Photoinduced formation of reactive oxygen species in suspensions of titania mechanochemically synthesized from TiCl4. In Journal of Molecular Catalysis A : Chemical, 2010, vol. 327, p. 101-109. (2009: 3.135 – IF, Q2 – JCR). (2010 – Current Contents). ISSN 1381-1169. https://doi.org/10.1016/j.molcata.2010.05.019

WOS citations: 2

1. [1.1] BALA, D. – MATEI, I. – IONITA, G. – COSMA, D.V. – ROSU, M.C. – STANCA, M. – GAIDAU, C. – BALEANU, M. – VIRGOLICI, M. – STANCULESCU, I. Luminescence, Paramagnetic, and Electrochemical Properties of Copper Oxides-Decorated TiO2/Graphene Oxide Nanocomposites. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. DEC 2022, vol. 23, no. 23. https://doi.org/10.3390/ijms232314703; WOS

2. [1.1] WANG, S.D. – LAI, C.L. – ZHANG, Y.X. – BAO, S.T. – LV, K.L. – WEN, L.L. Effective charge and energy transfers within a metal-organic framework for efficient photocatalytic oxidation of amines and sulfides. In JOURNAL OF MATERIALS CHEMISTRY A. ISSN 2050-7488, OCT 11 2022, vol. 10, no. 39, p. 20975-20983. https://doi.org/10.1039/d2ta05218k; WOS

 

• BRISTELA, M. – SKOLKA, A. – EDER, J. – SZOMOLÁNYI, Pavol – WEBER, M. – PIEHSLINGER, E. – SCHMID-SCHWAP, M. – TRATTNIG, S. T2 mapping with 3.0 T MRI of the temporomandibular joint disc of patients with disc dislocation. In Magnetic Resonance Imaging, 2019, vol. 58, p. 125-134. (2018: 2.112 – IF, Q3 – JCR, 0.977 – SJR, Q1 – SJR). (2019 – Current Contents). ISSN 0730-725X. https://doi.org/10.1016/j.mri.2019.02.002

WOS citations: 3

1. [1.1] ECKSTEIN, F.M. – WURM, M.C. – ECKSTEIN, M. – WIESMÜLLER, M. – MÜLLER, M. – JEHN, P. – SÖDER, S. – SCHLITTENBAUER, T. Imaging, histopathological degree of degeneration and clinical findings Do these correlate in patients with temporomandibular joint disorders. In JOURNAL OF STOMATOLOGY ORAL AND MAXILLOFACIAL SURGERY, 2022, vol. 123, no. 3, p. 353-357. ISSN 2468-8509. https://doi.org/10.1016/j.jormas.2021.05.002; WOS

2. [1.1] REGULSKI, P.A. – ZIELINSKI, J. – SZOPINSKI, K.T. Temporomandibular Disk Dislocation Impacts the Stomatognathic System: Comparative Study Based on Biexponential Quantitative T2 Maps. In JOURNAL OF CLINICAL MEDICINE, 2022, vol. 11, no. 6. https://doi.org/10.3390/jcm11061621; WOS

3. [1.1] WONGRATWANICH, P. – NAGASAKI, T. – SHIMABUKURO, K. – KONISHI, M. – OHTSUKA, M. – SUEI, Y. – NAKAMOTO, T. – AKIYAMA, Y. – AWAI, K. – KAKIMOTO, N. Intra- and inter-examination reproducibility of T2 mapping for temporomandibular joint assessment at 3.0 T. In SCIENTIFIC REPORTS, 2022, vol. 12, no. 1, p. ISSN 2045-2322. https://doi.org/10.1038/s41598-022-15184-9; WOS

 

• BURRAGE, M.K. – HUNDERTMARK, M. – VALKOVIČ, Ladislav – WATSON, W.D. – RAYNER, J. – SABHARWAL, N. – FERREIRA, V.M. – NEUBAUER, S. – MILLER, J.J. – RIDER, O.* – LEWIS, A. Energetic basis for exercise-induced pulmonary congestion in heart failure with preserved ejection fraction. In Circulation, 2021, vol. 144, no. 21, p. 1664-1678. (2020: 29.690 – IF, Q1 – JCR, 7.795 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 0009-7322. https://doi.org/10.1161/CIRCULATIONAHA.121.054858

WOS citations: 19; other citations: 1

1. [1.1] ARVIDSSON, P.M. – NELSSON, A. – EDLUND, J. – SMITH, J.G. – MAGNUSSON, M. – JIN, N. – HEIBERG, E. – CARLSSON, M. – STEDING-EHRENBORG, K. – ARHEDEN, H. Kinetic energy of left ventricular blood flow across heart failure phenotypes and in subclinical diastolic dysfunction. In JOURNAL OF APPLIED PHYSIOLOGY. ISSN 8750-7587, SEP 2022, vol. 133, no. 3, p. 697-709. https://doi.org/10.1152/japplphysiol.00257.2022; WOS

2. [1.1] DE LEMOS, J.A. – MCGUIRE, D.K. – HILL, J.A. Celebrating The Next Generation of Cardiovascular Investigators. In CIRCULATION. ISSN 0009-7322, JAN 11 2022, vol. 145, no. 2, p. 91-93. https://doi.org/10.1161/CIRCULATIONAHA.121.058678; WOS

3. [1.1] DELGADO, V. – GUAL-CAPLLONCH, F. Lung Ultrasound During Exercise Echocardiography: Necessity or Whim?. In CIRCULATION-CARDIOVASCULAR IMAGING. ISSN 1941-9651, MAY 2022, vol. 15, no. 5. https://doi.org/10.1161/CIRCIMAGING.122.014153; WOS

4. [1.1] DYCK, J.R.B. – SOSSALLA, S. – HAMDANI, N. – CORONEL, R. – WEBER, N.C. – LIGHT, P.E. – ZUURBIER, C.J. Cardiac mechanisms of the beneficial effects of SGLT2 inhibitors in heart failure: Evidence for potential off-target effects. In JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY. ISSN 0022-2828, JUN 2022, vol. 167, p. 17-31. https://doi.org/10.1016/j.yjmcc.2022.03.005; WOS

5. [1.1] EDLUND, J. – ARVIDSSON, P.M. – NELSSON, A. – SMITH, J.G. – MAGNUSSON, M. – HEIBERG, E. – STEDING-EHRENBORG, K. – ARHEDEN, H. Noninvasive Assessment of Left Ventricular Pressure- Volume Relations: Inter- and Intraobserver Variability and Assessment Across Heart Failure Subtypes. In AMERICAN JOURNAL OF CARDIOLOGY. ISSN 0002-9149, DEC 1 2022, vol. 184, p. 48-55. https://doi.org/10.1016/j.amjcard.2022.09.001; WOS

6. [1.1] GUAZZI, M. – WILHELM, M. – HALLE, M. – VAN CRAENENBROECK, E. – KEMPS, H. – DE BOER, R.A. – COATS, A.J.S. – LUND, L. – MANCINI, D. – BORLAUG, B. – FILIPPATOS, G. – PIESKE, B. Exercise testing in heart failure with preserved ejection fraction: an appraisal through diagnosis, pathophysiology and therapy – A clinical consensus statement of the Heart Failure Association and European Association of Preventive Cardiology of the European Society of Cardiology. In EUROPEAN JOURNAL OF HEART FAILURE. ISSN 1388-9842, AUG 2022, vol. 24, no. 8, p. 1327-1345. https://doi.org/10.1002/ejhf.2601; WOS

7. [1.1] IMAMURA, T. – HORI, M. – NARANG, N. – KINUGAWA, K. Lung Fluid Volume during Cardiopulmonary Exercise Testing. In MEDICINA-LITHUANIA. ISSN 1010-660X, MAY 2022, vol. 58, no. 5. https://doi.org/10.3390/medicina58050685; WOS

8. [1.1] LAU, C. – ELSHIBLY, M.M.M. – KANAGALA, P. – KHOO, J.P. – ARNOLD, J.R. – HOTHI, S.S. The role of cardiac magnetic resonance imaging in the assessment of heart failure with preserved ejection fraction. In FRONTIERS IN CARDIOVASCULAR MEDICINE. ISSN 2297-055X, JUL 18 2022, vol. 9. https://doi.org/10.3389/fcvm.2022.922398; WOS

9. [1.1] OMAR, M. – JENSEN, M.D. – BORLAUG, B.A. Diabesity and heart failure with preserved ejection fraction: the picture is getting clearer. In EUROPEAN JOURNAL OF HEART FAILURE. ISSN 1388-9842, MAR 2022, vol. 24, no. 3, p. 510-512. https://doi.org/10.1002/ejhf.2440; WOS

10. [1.1] OMOTE, K. – VERBRUGGE, F.H. – SORIMACHI, H. – OMAR, M. – POPOVIC, D. – OBOKATA, M. – REDDY, Y.N.V. – BORLAUG, B.A. Central haemodynamic abnormalities and outcome in patients with unexplained dyspnoea. In EUROPEAN JOURNAL OF HEART FAILURE, 2022. ISSN 1388-9842. https://doi.org/10.1002/ejhf.2747; WOS

11. [1.1] PHAM, Q.T. – TRAN, T.N. – LE-THI, T.T. – PHAN, A.K. – NGUYEN, A.V. Evaluation of Left Diastolic Function in Dilated Cardiomyopathy According to the 2016 ASE/EACVI Recommendations. In INTERNATIONAL JOURNAL OF GENERAL MEDICINE. 2022, vol. 15, p. 4527-4533. https://doi.org/10.2147/IJGM.S359248; WOS

12. [1.1] RAMLI, F.F. – HASHIM, S.A.S. – RAMAN, B. – MAHMOD, M. – KAMISAH, Y. Role of Trientine in Hypertrophic Cardiomyopathy: A Review of Mechanistic Aspects. In PHARMACEUTICALS. SEP 2022, vol. 15, no. 9. https://doi.org/10.3390/ph15091145; WOS

13. [1.1] ROSCH, S. – KRESOJA, K.P. – BESLER, C. – FENGLER, K. – SCHOBER, A.R. – VON ROEDER, M. – LUCKE, C. – GUTBERLET, M. – KLINGEL, K. – THIELE, H. – ROMMEL, K.P. – LURZ, P. Characteristics of Heart Failure With Preserved Ejection Fraction Across the Range of Left Ventricular Ejection Fraction. In CIRCULATION. ISSN 0009-7322, AUG 16 2022, vol. 146, no. 7, p. 506-518. https://doi.org/10.1161/CIRCULATIONAHA.122.059280; WOS

14. [1.1] SCHULZ, A. – SCHUSTER, A. Visualizing diastolic failure: Non-invasive imaging-biomarkers in patients with heart failure with preserved ejection fraction. In EBIOMEDICINE, 2022, vol. 86. ISSN 2352-3964. https://doi.org/10.1016/j.ebiom.2022.104369; WOS

15. [1.1] SEEMANN, F. – JAVED, A. – CHAE, R. – RAMASAWMY, R. – O’;BRIEN, K. – BAUTE, S. – XUE, H. – LEDERMAN, R.J. – CAMPBELL-WASHBURN, A.E. Imaging gravity-induced lung water redistribution with automated inline processing at 0.55 T cardiovascular magnetic resonance. In JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE. ISSN 1097-6647, JUN 6 2022, vol. 24, no. 1. https://doi.org/10.1186/s12968-022-00862-4; WOS

16. [1.1] SHANG, Y. – THEILENBERG, S. – TEREKHOV, M. – MATTAR, W. – PENG, B.Y. – JAMBAWALIKAR, S.R. – SCHREIBER, L.M. – JUCHEM, C. High-resolution simulation of B-0 field conditions in the human heart from segmented computed tomography images. In NMR IN BIOMEDICINE. ISSN 0952-3480, AUG 2022, vol. 35, no. 8. https://doi.org/10.1002/nbm.4739; WOS

17. [1.1] SORIMACHI, H. – OMOTE, K. – OMAR, M. – POPOVIC, D. – VERBRUGGE, F.H. – REDDY, Y.N.V. – LIN, G. – OBOKATA, M. – MILES, J.M. – JENSEN, M.D. – BORLAUG, B.A. Sex and central obesity in heart failure with preserved ejection fraction. In EUROPEAN JOURNAL OF HEART FAILURE. ISSN 1388-9842, AUG 2022, vol. 24, no. 8, p. 1359-1370. https://doi.org/10.1002/ejhf.2563; WOS

18. [1.1] WU, X. – ZHANG, Y.L. – QIAO, J.F. – LI, C.Y. – LIN, C. – XIONG, S.Q. Effects of Kangdaxin on myocardial fibrosis in heart failure with preserved ejection fraction rats. In JOURNAL OF THORACIC DISEASE, 2022. ISSN 2072-1439. https://doi.org/10.21037/jtd-22-198; WOS

19. [1.1] YURISTA, S.R. – EDER, R.A. – KWON, D.H. – FARRAR, C.T. – YEN, Y.F. – TANG, W.H.W. – NGUYEN, C.T. Magnetic resonance imaging of cardiac metabolism in heart failure: how far have we come?. In EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING. ISSN 2047-2404, SEP 10 2022, vol. 23, no. 10, p. 1277-1289. https://doi.org/10.1093/ehjci/jeac121; WOS

20. [3.1] HE, J. – YANG, W. – WU, W. – SUN, X. – LI, S. – YIN, G. – ZHUANG, B. – XU, J. – ZHOU, D. – ZHANG, Y. – WANG, Y. – SHARMA, P. – SIRAJUDDIN, A. – TENG, Z. – KURESHI, F. – ZHAO, S. – LU, M. Obesity in the Heart Failure with Preserved Ejection Fraction: Insights from CMR Myocardial Strain and Tissue Characteristics. In SSRN, 2022, http://dx.doi.org/10.2139/ssrn.4190251

 

• CAMBEL, V. – KARAPETROV, G. – ELIÁŠ, P. – HASENÖHRL, S. – KWOK, W.K. – KRAUSE, J. – MAŇKA, Ján. Approaching the pT range with a 2DEG InGaAs/InP Hall sensor at 77 K. In Microelectronic Engineering, 2000, vol. 51-52, p. 333-342. (1999: 0.815 – IF, Q2 – JCR, 0.595 – SJR, Q1 – SJR). (2000 – Current Contents). ISSN 0167-9317. https://doi.org/10.1016/S0167-9317(99)00491-8

WOS citations: 1; SCOPUS citations: 1

1. [1.1] XU, Y – LALWANI, A. – ARORA, K. – ZHENG, Z. – RENTERIA, A. – SENESKY, D. – WANG, P. Hall-Effect Sensor Design With Physics-Informed Gaussian Process Modeling. In IEEE SENSORS JOURNAL. DEC 2022, vol. 22, no. 23, p. 22519-22528. https://doi.org/10.1109/JSEN.2022.3216499; WOS

2. [1.2] XU, Y. – ZHENG, Z. – ARORA, K. – SENESKY, D.G. – WANG, P. Hall Effect Sensor Design Optimization With Multi-Physics Informed Gaussian Process Modeling. In PROCEEDINGS OF THE ASME DESIGN ENGINEERING TECHNICAL CONFERENCE, 2022. https://doi.org/10.1115/DETC2022-91196; SCOPUS

 

• CAMERON, D. – SOTO-MOTA, A. – WILLIS, D.R. – ELLIS, J. – PROCTER, N.E.K. – GREENWOOD, R. – SAUNDERS, N. – SCHULTE, R.F. – VASSILIOU, V.S. – TYLER, D.J. – SCHMID, A.I. – RODGERS, C.T. – MALCOLM, P.N. – CLARKE, K. – FRENNEAUX, M.P. – VALKOVIČ, Ladislav. Evaluation of acute supplementation with the ketone ester (R)-3-hydroxybutyl-(R)-3-hydroxybutyrate (deltaG) in healthy volunteers by cardiac and skeletal muscle 31P magnetic resonance spectroscopy. In Frontiers in Physiology, 2022, vol. 13, art. no. 793987. (2021: 4.755 – IF, Q1 – JCR, 1.126 – SJR, Q1 – SJR). (2022 – Current Contents). ISSN 1664-042X. https://doi.org/10.3389/fphys.2022.793987

WOS citations: 3

1. [1.1] DOLAN, L.C. – KARIKACHERY, A.R. – THIPE, V.C. – ARCENEAUX, B.G. – KATTI, K.K. – KATTI, K.V. – CHESNE, A.M. Toxicity Investigations of (R)-3-Hydroxybutyrate Glycerides In Vitro and in Male and Female Rats. In NUTRIENTS. OCT 2022, vol. 14, no. 20. https://doi.org/10.3390/nu14204426; WOS

2. [1.1] EVANS, M. – MCCLURE, T.S. – KOUTNIK, A.P. – EGAN, B. Exogenous Ketone Supplements in Athletic Contexts: Past, Present, and Future. In SPORTS MEDICINE. ISSN 0112-1642, DEC 2022, vol. 52, no. SUPPL 1, p. 25-67. https://doi.org/10.1007/s40279-022-01756-2; WOS

3. [1.1] LKHAGVA, B. – LEE, T.W. – LIN, Y.K. – CHEN, Y.C. – CHUNG, C.C. – HIGA, S. – CHEN, Y.J. Disturbed Cardiac Metabolism Triggers Atrial Arrhythmogenesis in Diabetes Mellitus: Energy Substrate Alternate as a Potential Therapeutic Intervention. In CELLS. SEP 2022, vol. 11, no. 18. https://doi.org/10.3390/cells11182915; WOS

 

• CAPEK, Ignác. Dispersions based on noble metal nanoparticles-DNA conjugates. In Advances in Colloid and Interface Science, 2011, vol. 163, no. 2, p.123–143. (2010: 8.660 – IF, Q1 – JCR, 2.912 – SJR, Q1 – SJR). (2011 – Current Contents). ISSN 0001-8686. https://doi.org/10.1016/j.cis.2011.02.007

WOS citations: 1

1. [1.1] MA, J.Y. – WANG, K.X. – MA, M. – ZHANG, Y. Magnetic Microsphere/Silica Nanoparticle Composite Structures for Switchable DNA Storage. In ACS APPLIED NANO MATERIALS. OCT 28 2022, vol. 5, no. 10, p. 15619-15628. https://doi.org/10.1021/acsanm.2c03686; WOS

 

• CAPEK, Ignác. Kinetic study of acrylamide photopolymerization in the presence of silver salt. In Polymer Bulletin, 2017, vol. 74, no. 11, p. 4577-4593. ISSN 0170-0839. (2016: 1.430 – IF, Q3 – JCR, 0.429 – SJR, Q2 – SJR). (2017 – Current Contents). ISSN 0170-0839. https://doi.org/10.1007/s00289-017-1973-7

WOS citations: 2

1. [1.1] GU, X. – SHI, X. – WU, J. – ZHANG, Y. – DONG, L. – GONG, Y. – MENG, Q. – ZHANG, C. Preparation of a water-dispersible nano-photoinitiator oriented towards 3D printing hydrogel with visible light. In JOURNAL OF APPLIED POLYMER SCIENCE. OCT 2022, vol. 139, no. 37. https://doi.org/10.1002/app.52869; WOS

2. [1.1] HOANG, V. – NGO, X. – TRANG, N. – NGA, D. – KHI, N. – TRANG, V. – LAM, V. – LE, A. Highly selective recognition of acrylamide in food samples using colorimetric sensor based on electrochemically synthesized colloidal silver nanoparticles: Role of supporting agent on cross-linking aggregation. In COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS. MAR 2022, vol. 636. https://doi.org/10.1016/j.colsurfa.2021.128165; WOS

 

• CAPEK, Ignác. On photoinduced polymerization of acrylamide. In Designed Monomers and Polymers, 2014, vol. 17, no. 4, p. 356-363. (2013: 2.210 – IF, Q2 – JCR, 0.604 – SJR). (2014 – Current Contents). ISSN 385-772X. https://doi.org/10.1080/15685551.2013.840510

WOS citations: 1

1. [1.1] GU, X. – SHI, X. – WU, J. – ZHANG, Y. – DONG, L. – GONG, Y. – MENG, Q. – ZHANG, C. Preparation of a water-dispersible nano-photoinitiator oriented towards 3D printing hydrogel with visible light. In JOURNAL OF APPLIED POLYMER SCIENCE. OCT 2022, vol. 139, no. 37. https://doi.org/ 10.1002/app.52869; WOS

 

• CAPEK, Ignác. Photopolymerization of acrylamide in the very low monomer concentration range. In Designed Monomers and Polymers, 2016, vol. 19, no. 4, p. 290-296. (2015: 1.497 – IF, Q3 – JCR, 0.409 – SJR, Q2 – SJR). (2016 – Current Contents). ISSN 1385-772X. https://doi.org/10.1080/15685551.2016.1152539

WOS citations: 2

1. [1.1] MONFARED, M. – NOTHLING, M.D. – MAWAD, D. – STENZEL, M.H. Effect of cell culture media on photopolymerizations. In BIOMACROMOLECULES. OCT 2021, vol. 22, no. 10, p. 4295-4305. https://doi.org/10.1021/acs.biomac.1c00864; WOS

2. [1.1] MAZURYK, J. – KLEPACKA, K. – PIECHOWSKA, J. – KALECKI, J. – DERZSI, L. – PIOTROWSKI, P. – PASZKE, P. – PAWLAK, D. – BERNESCHI, S. – KUTNER, W. – SHARMA, P. In-Capillary Photodeposition of Glyphosate-Containing Polyacrylamide Nanometer-Thick Films. In ACS APPLIED POLYMER MATERIALS. ISSN 2637-6105, DEC 2022. https://doi.org/10.1021/acsapm.2c01461; WOS

 

• CAPEK, Ignác. Polymer decorated gold nanoparticles in nanomedicine conjugates. In Advances in colloid and interface science, 2017, vol. 249, p. 386-399. (2016: 7.223 – IF, Q1 – JCR, 2.155 – SJR, Q1 – SJR). (2017 – Current Contents). ISSN 0001-8686. https://doi.org/10.1016/j.cis.2017.01.007

WOS citations: 7; SCOPUS citations: 1; other citations: 4

1. [1.1] BHOOPATHY, J. Plant Extract-Derived Nanomaterials for Wound Healing: a Mini Review. In REGENERATIVE ENGINEERING AND TRANSLATIONAL MEDICINE. ISSN 2364-4133, 2022. https://doi.org/10.1007/s40883-022-00265-y; WOS

2. [1.1] BLOISE, N. – STRADA, S. – DACARRO, G. – VISAI, L. Gold Nanoparticles Contact with Cancer Cell: A Brief Update. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. JUL 2022, vol. 23, no. 14. https://doi.org/10.3390/ijms23147683; WOS

3. [1.1] CAI, F. – LI, S. – HUANG, H. – IQBAL, J. – WANG, C. – JIANG, X. Green synthesis of gold nanoparticles for immune response regulation: Mechanisms, applications, and perspectives. In JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART A. ISSN 1549-3296, 2022, vol. 110, no. 2, p. 424-442. https://doi.org/10.1002/jbm.a.37281; WOS

4. [1.1] FIGUEIREDO, A.Q. – RODRIGUES, C.F. – FERNANDES, N. – DE MELO-DIOGO, D. – CORREIA, I.J. – MOREIRA, A.F. Metal-Polymer Nanoconjugates Application in Cancer Imaging and Therapy. In NANOMATERIALS. SEP 2022, vol. 12, no. 18. https://doi.org/10.3390/nano12183166; WOS

5. [1.1] LIU, Z.H. – JI, X.S. – HE, D. – ZHANG, R. – LIU, Q. – XIN, T. Nanoscale Drug Delivery Systems in Glioblastoma. In NANOSCALE RESEARCH LETTERS. ISSN 1931-7573, FEB 16 2022, vol. 17, no. 1. https://doi.org/10.1186/s11671-022-03668-6; WOS

6. [1.1] STANCIU, S.G. – TRANCA, D.E. – ZAMPINI, G. – HRISTU, R. – STANCIU, G.A. – CHEN, X.Z. – LIU, M.K. – STENMARK, H.A. – LATTERINI, L. Scattering-type Scanning Near-Field Optical Microscopy of Polymer-Coated Gold Nanoparticles. In ACS OMEGA. ISSN 2470-1343, APR 5 2022, vol. 7, no. 13, p. 11353-11362. https://doi.org/10.1021/acsomega.2c00410; WOS

7. [1.1] WANG, Z.K. – ZHANG, J. – HU, J.X. – YANG, G.L. Gene-activated titanium implants for gene delivery to enhance osseointegration. In BIOMATERIALS ADVANCES. DEC 2022, vol. 143. https://doi.org/10.1016/j.bioadv.2022.213176; WOS

8. [1.2] SOUSA, D.P. – CONDE, J. Gold Nanoconjugates for miRNA Modulation in Cancer Therapy: From miRNA Silencing to miRNA Mimics. In ACS MATERIALS AU, 2022, vol. 2, no. 6, p. 626-640. https://doi.org/10.1021/acsmaterialsau.2c00042; SCOPUS

9. [3.1] ANIK, M.I. – MAHMUD, N. – AL MASUD, A. – HASAN, M. Gold nanoparticles (GNPs) in biomedical and clinical applications: A review. In NANO SELECT, 2022, vol. 3, no. 4, p. 792-828.  https://doi.org/10.1002/nano.202100255

10. [3.1] MRÓWCZYŃSKI, R. – GRZEŚKOWIAK, B.F. Biomimetic Catechol-Based Nanomaterials for Combined Anticancer Therapies. In NANOENGINEERING OF BIOMATERIALS, 2022. https://doi.org/10.1002/9783527832095.ch23

11. [3.1] VYAS. K. – VYAS, A.P. A Review On Advances In Nanoparticulate Drug Delivery Systems For HCC Treatment. In GRADIVA REVIEW JOURNAL, 2022, vol. 8, no. 11, p. 347-374. https://doi.org/10.37897.GRJ.2022.V8I8.22.50438

12. [3.1] YANG, Z. – ZHU, J. – XIAO, P. – WANG, X. Polyacrylonitrile/cellulose nanofibers supported gold nanoparticles for liquid-phase aerobic oxidation of benzyl alcohol to benzaldehyde. In RESEARCH SQUARE, 2022, https://doi.org/10.21203/rs.3.rs-1873888/v1.

 

• CAPEK, Ignác. Viral nanoparticles, noble metal decorated viruses and their nanoconjugates. In Advances in colloid and interface science, 2015, vol. 222, p. 119-134. (2014: 7.776 – IF, Q1 – JCR, 2.823 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 0001-8686. https://doi.org/10.1016/j.cis.2014.04.008

WOS citations: 2; SCOPUS citations: 1

1. [1.1] ADEYEMI, J.O. – ORIOLA, A.O. – ONWUDIWE, D.C. – OYEDEJI, A.O. Plant Extracts Mediated Metal-Based Nanoparticles: Synthesis and Biological Applications. In BIOMOLECULES. MAY 2022, vol. 12, no. 5. https://doi.org/10.3390/biom12050627; WOS

2. [1.1] OJHA, S.K. – PATTNAIK, R. – SINGH, P.K. – DIXIT, S. – MISHRA, S. – PAL, S. – KUMAR, S. Virus as a Nanocarrier for Drug Delivery Redefining Medical Therapeutics-A Status Report. In COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING. ISSN 1386-2073, 2022, vol. 25, no. 10, p. 1619-1629. https://doi.org/10.2174/1386207323666201218115850; WOS

3. [1.2] AZIZI, M. – SHAHGOLZARI, M. – FATHI-KARKAN, S. – GHASEMI, M. – SAMADIAN, H. Multifunctional plant virus nanoparticles: An emerging strategy for therapy of cancer. In WILEY INTERDISCIPLINARY REVIEWS: NANOMEDICINE AND NANOBIOTECHNOLOGY, 2022. https://doi.org/10.1002/wnan.1872; SCOPUS

 

• CIGÁŇ, Alexander – LOBOTKA, P. – DVUREČENSKIJ, Andrej – ŠKRÁTEK, Martin – RADNÓCZI, G. – MAJEROVÁ, Melinda – CZIGÁNY, Zs. – MAŇKA, Ján – VÁVRA, I. – MIČUŠÍK, M. Characterization and magnetic properties of nickel and nickel-iron nanoparticle colloidal suspensions in imidazolium-based ionic liquids prepared by magnetron sputtering. In Journal of Alloys and Compounds, 2018, vol. 768, p. 625-634. (2017: 3.779 – IF, Q1 – JCR, 1.020 – SJR, Q1 – SJR). (2018 – Current Contents). ISSN 0925-8388. https://doi.org/10.1016/j.jallcom.2018.07.205

WOS citations: 1; SCOPUS citations: 1

1. [1.1] SERGIEVSKAYA, A. – CHAUVIN, A. – KONSTANTINIDIS, S. Sputtering onto liquids: a critical review. In BEILSTEIN JOURNAL OF NANOTECHNOLOGY. ISSN 2190-4286, 2022, vol. 13, p. 10-53. https://doi.org/10.3762/bjnano.13.2; WOS

2. [1.2] PANDEY, A. – SRIVASTAVA, S. Recent Advances in Cancer Diagnostics and Therapy: A Nanobased Approach. CRC Press, 2022, ISBN 9781003201946. https://doi.org/10.1201/9781003201946; SCOPUS

 

• COREMANS, J. – SPANOGHE, M. – BUDINSKÝ, Ľuboš – STERCKX, J. – LUYPAERT, R. – EISENDRATH, H. – OSTEAUX, M. A comparison between different imaging strategies for diffusion measurements with the centric phase-encoded TurboFLASH seguence. In Journal of Magnetic Resonance, 1997, vol. 124, p. 323-342. (1997 – Current Contents). ISSN 1090-7807. https://doi.org/10.1006/jmre.1996.1025

WOS citations: 2

1. [1.1] PENG, Q. – WU, C. – KIM, J. – LI, X.J. Efficient phase-cycling strategy for high-resolution 3D gradient-echo quantitative parameter mapping. In NMR IN BIOMEDICINE. ISSN 0952-3480, JUL 2022, vol. 35, no. 7. https://doi.org/10.1002/nbm.4700; WOS

2. [1.1] ZHU, D. – QIN, Q. A revisit of the k-space filtering effects of magnetization-prepared 3D FLASH and balanced SSFP acquisitions: Analytical characterization of the point spread functions. In MAGNETIC RESONANCE IMAGING. ISSN 0730-725X, MAY 2022, vol. 88, p. 76-88. https://doi.org/10.1016/j.mri.2022.01.015; WOS

 

• COUFAL, D. – JAKUBÍK, Jozef – JAJCAY, N. – HLINKA, J. – KRAKOVSKÁ, Anna – PALUŠ, M. Detection of coupling delay: A problem not yet solved. In Chaos, 2017, vol. 27, no. 8, p. 083109. (2016: 2.283 – IF, Q1 – JCR, 0.780 – SJR, Q2 – SJR). (2017 – Current Contents). ISSN 1054-1500. https://doi.org/10.1063/1.4997757

WOS citations: 1; other citations: 1

1. [1.1] SILINI, R. – TIRABASSI, G. – BARREIRO, M. – FERRANTI, L. – MASOLLER, C. Assessing causal dependencies in climatic indices. In CLIMATE DYNAMICS, 2022. ISSN 0930-7575. https://doi.org/10.1007/s00382-022-06562-0; WOS

2. [3.1] SURYADI, Y.-S.O. – LOCK, Y.C. Jacobian granger causal neural networks for analysis of stationary and nonstationary data. In arXiv, 2022, https://doi.org/10.48550/arXiv.2205.09573

 

• ČAPLOVIČOVÁ, M. – BILLIK, Peter – ČAPLOVIČ, L. – BREZOVÁ, V. – TURÁNI, T. – PLESCH, G. – FEJDI, P. On the true morphology of highly photoactive anatase TiO2 nanocrystals. In Applied Catalysis B: Environmental, 2012, vol. 117-118, p. 224-235. (2011: 5.625 – IF, Q1 – JCR, 2.606 – SJR, Q1 – SJR). (2012 – Current Contents). ISSN 0926-3373. https://doi.org/10.1016/j.apcatb.2012.01.010

Other citations: 1

1. [3.1] OMAR, L. – BENAISSA, R. – VINCENT, G. – FRANCIS, M. – GAEL, P. – LAHCEN, D. Solar Photocatalysis of TiO2 Supported Natural Palygorskite Nanofibers Elaborated by a One_Pot Mechanochemical Route. In JOURNAL OF MINERALS AND MATERIALS CHARACTERIZATION AND ENGINEERING, 2022, vol. 10, p. 254-274. https://doi.org/10.4236/jmmce.2022.103020

 

• ČERŇANSKÝ, A. – YARYHIN, O. – CICEKOVÁ, J. – WERNEBURG, I. – HAIN, Miroslav – KLEMBARA, J. Vertebral comparative anatomy and morphological differences in anguine lizards with a special reference to Pseudopus apodus. In The Anatomical Record : Advances in Integrative Anatomy and Evolutionary Biology, 2019, vol. 302, no. 2, p. 232-257. (2018: 1.329 – IF, Q3 – JCR, 0.525 – SJR, Q2 – SJR). (2019 – Current Contents). ISSN 1932-8486. https://doi.org/10.1002/ar.23944

WOS citations: 5; SCOPUS citations: 1; other citations: 1

1. [1.1] CODREA, V.A. – BORDEIANU, M. – VENCZEL, M. Amphibians and squamate reptiles from the late Miocene of F?lciu (Eastern Romania). In PALAEONTOLOGIA ELECTRONICA, 2022, vol. 25, no. 2, p. a19. ISSN 1935-3952. https://doi.org/10.26879/1156; WOS

2. [1.1] LEV, M. – NADEL, D. – WEINSTEIN-EVRON, M. – YESHURUN, R. Squamates and amphibians from the Natufian cemetery of Raqefet Cave, Israel: taphonomy, paleoenvironments and paleoclimate. In HISTORICAL BIOLOGY. ISSN 0891-2963, DEC 2 2022, vol. 34, no. 12, p. 2395-2414. https://doi.org/10.1080/08912963.2021.2017918; WOS

3. [1.1] SMITH, K.T. – BHULLAR, B.A.S. – BLOCH, J.I. New diminutive Eocene lizard reveals high K-Pg survivorship and taxonomic diversity of stem xenosaurs in North America. In AMERICAN MUSEUM NOVITATES. ISSN 0003-0082, FEB 16 2022, no. 3986, p. 1-36; WOS

4. [1.1] VILLA, A. – DELFINO, M. First fossil of Varanus Merrem, 1820 (Squamata: Varanidae) from the Miocene Siwaliks of Pakistan. In GEODIVERSITAS. ISSN 1280-9659, FEB 14 2022, vol. 44, no. 7, p. 229-235. https://doi.org/10.5252/geodiversitas2022v44a7; WOS

5. [1.1] VILLA, A. – GOBBI, S. – DELFINO, M. Additions to the early Miocene herpetofauna of Weisenau (Germany): urodeles and squamates from a rediscovered historical collection in Italy. In PALZ, 2022, vol. 96, no. 1, p. 113-127. ISSN 0031-0220. https://doi.org/10.1007/s12542-021-00571-w; WOS

6. [1.2] PACLÍK, V. – IVANOV, M. Squamates from the early Miocene (Aquitanian) of Weißenburg 6 (Bavaria, Germany). In ACTA MUSEI MORAVIAE, SCIENTIAE GEOLOGICAE, 2022, vol. 107, no. 1, p. 73-89. ISSN 1211-8796; SCOPUS

7. [3.1] GEORGALIS, G.L. – DELFINO, M. The Fossil Record of Lizards and Snakes (Reptilia: Squamata) in Greece. In FOSSIL VERTEBRATES OF GREECE VOL. 1, Springer, 2022, p. 205-235. https://doi.org/10.1007/978-3-030-68398-6_7

 

• DING, B. – PETERZAN, M. – MÓZES, F.E. – RIDER, O. – VALKOVIČ, Ladislav – RODGERS, C.T. Water-suppression cycling 3-T cardiac 1 H-MRS detects altered creatine and choline in patients with aortic or mitral stenosis. In NMR in Biomedicine, 2021, vol. 34, no. 7, e4513. (2020: 4.044 – IF, Q1 – JCR, 1.278 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 0952-3480. https://doi.org/10.1002/nbm.4513

WOS citations: 3; SCOPUS citations: 1

1. [1.1] ESMAEILI, M. – VETTUKATTIL, R. In Vivo Magnetic Resonance Spectroscopy Methods for Investigating Cardiac Metabolism. In METABOLITES. FEB 2022, vol. 12, no. 2. https://doi.org/10.3390/metabo12020189; WOS

2. [1.1] FU, B. – WANG, J. – WANG, L.Q. – WANG, Q. – GUO, Z.G. – XU, M.L. – JIANG, N. Integrated proteomic and metabolomic profile analyses of cardiac valves revealed molecular mechanisms and targets in calcific aortic valve disease. In FRONTIERS IN CARDIOVASCULAR MEDICINE. ISSN 2297-055X, OCT 13 2022, vol. 9. https://doi.org/10.3389/fcvm.2022.944521; WOS

3. [1.1] PEEREBOOM, S.M. – KOZERKE, S. Metabolite-cycled echo-planar spectroscopic imaging of the human heart. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, OCT 2022, vol. 88, no. 4, p. 1516-1527. https://doi.org/10.1002/mrm.29333; WOS

4. [1.2] BAKERMANS, A.J. Myocardial lipids—techniques and applications of proton magnetic resonance spectroscopy of the human heart. In VISCERAL AND ECTOPIC FAT: RISK FACTORS FOR TYPE 2 DIABETES, ATHEROSCLEROSIS, AND CARDIOVASCULAR DISEASE, 2022, p. 99-115. https://doi.org/10.1016/B978-0-12-822186-0.00007-9; SCOPUS

 

• DOMAYER, S. – WELSCH, G.H. – NEHRER, S. – CHIARI, C. – DOROTKA, R. – SZOMOLÁNYI, Pavol – MAMISCH, T.C. – YAYON, A. – TRATTNIG, S. T2 mapping and dGEMRIC after autologous chondrocyte implantation with a fibrin-based scaffold in the knee: Preliminary results. In European Journal of Radiology, 2010, vol. 73, p. 636-642. (2009: 2.645 – IF, Q2 – JCR, 1.161 – SJR, Q1 – SJR). (2010 – Current Contents). ISSN 0720-048X. https://doi.org/10.1016/j.ejrad.2008.12.006

WOS citations: 2; SCOPUS citations: 1

1. [1.1] FRANCAVILLA, M.L. – SERAI, S.D. – BRANDON, T.G. – BIKO, D.M. – KHRICHENKO, D. – NGUYEN, J.C. – XIAO, R. – CHAUVIN, N.A. – GENDLER, L. – WEISS, P.F. Feasibility of T2 Mapping of the Sacroiliac Joints in Healthy Control Subjects and Children and Young Adults with Sacroiliitis. In ACR OPEN RHEUMATOLOGY. JAN 2022, vol. 4, no. 1, p. 74-82. https://doi.org/10.1002/acr2.11354; WOS

2. [1.1] ROEMER, F.W. – GUERMAZI, A. – DEMEHRI, S. – WIRTH, W. – KIJOWSKI, R. Imaging in Osteoarthritis. In OSTEOARTHRITIS AND CARTILAGE. ISSN 1063-4584, JUN 2022, vol. 30, no. 6, p. 913-934. https://doi.org/10.1016/j.joca.2021.04.018; WOS

3. [1.2] LAVER, L. – SOURUGEON, Y. – YONAI, Y. – KOCAOGLU, B. – ANGELE, P. – NIEMEYER, P. – DEGIROLAMO, L. Emerging techniques in management of cartilage injury of the knee. In SURGICAL TECHNIQUES OF THE SHOULDER, ELBOW, AND KNEE IN SPORTS MEDICINE, Third Edition, 2022, p. 645-664. https://doi.org/10.1016/B978-0-323-76300-4.00084-9; SCOPUS

 

• DOMAYER, S. – WELSCH, G.H. – DOROTKA, R. – MAMISCH, T.C. – MARLOVITS, S. – SZOMOLÁNYI, Pavol – TRATTNIG, S. MRI monitoring of cartilage repair in the knee: A review. In Seminars in Musculoskeletal Radiology, 2008, vol. 12, no. 4, p. 302-317. (2007: 0.966 – IF, Q4 – JCR, 0.586 – SJR, Q2 – SJR). (2008 – Current Contents). ISSN 1089-7860. https://doi.org/10.1055/s-0028-1100638

WOS citations: 2; other citations: 1

1. [1.1] JUNG, M. – RUSCHKE, S. – KARAMPINOS, D.C. – HOLWEIN, C. – BAUM, T. – GERSING, A.S. – BAMBERG, F. – JUNGMANN, P.M. The Predictive Value of Early Postoperative MRI-Based Bone Marrow Parameters for Mid-Term Outcome after MACI with Autologous Bone Grafting at the Knee. In CARTILAGE. ISSN 1947-6035, JUL 2022, vol. 13, no. 3. https://doi.org/10.1177/19476035221093061; WOS

2. [1.1] SCHAGEMANN, J.C. – GALLE, L. – GILLE, J. – FRYDRYCHOWICZ, A. – WELSCH, G. – SALZMANN, G. – PAECH, A. – MITTELSTAEDT, H. Correlation of the Histological ICRS II Score and the 3D MOCART Score for the Analysis of Aged Osteochondral Regenerates in a Large Animal Model. In CARTILAGE. ISSN 1947-6035, JAN 2022, vol. 13, no. 1. https://doi.org/10.1177/19476035211072254; WOS

3. [3.1] ABREU, F.G. – ANDRADE, R. – PERETTI, A.T. – CANADAS, R.F. – REIS, R.L. – OLIVEIRA, J.M. – ESPREGUEIRA-MENDES, J. Diagnosis of Cartilage and Osteochondral Defect. In JOINT FUNCTION PRESERVATION. Springer, 2022, 95-106. https://doi.org/10.1007/978-3-030-82958-2_8

 

• DVUREČENSKIJ, Andrej – CIGÁŇ, Alexander – LOBOTKA, P. – RADNÓCZI, G. – ŠKRÁTEK, Martin – BENYÓ, J. – KOVÁČOVÁ, E. – MAJEROVÁ, Melinda – MAŇKA, Ján. Colloids of HEA nanoparticles in an imidazolium-based ionic liquid prepared by magnetron sputtering: Structural and magnetic properties. In Journal of Alloys and Compounds, 2022, vol. 896, art. no. 163089. (2021: 6.371 – IF, Q1 – JCR, 1.027 – SJR, Q1 – SJR). (2022 – Current Contents). ISSN 0925-8388. https://doi.org/10.1016/j.jallcom.2021.163089

WOS citations: 4

1. [1.1] BILIAK, K. – NIKITIN, D. – ALI-OGLY, S. – PROTSAK, M. – PLESKUNOV, P. – TOSCA, M. – SERGIEVSKAYA, A. – CORNIL, D. – CORNIL, J. – KONSTANTINIDIS, S. – KOSUTOVA, T. – CERNOCHOVA, Z. – STEPANEK, P. – HANUS, J. – KOUSAL, J. – HANYKOVA, L. – KRAKOVSKY, I. – CHOUKOUROV, A. Plasmonic Ag/Cu/PEG nanofluids prepared when solids meet liquids in the gas phase. In NANOSCALE ADVANCES, 2022. ISSN 2516-0230. https://doi.org/10.1039/d2na00785a; WOS

2. [1.1] FENG, J.Y. – TANG, Y.J. – LIU, J. – ZHANG, P.L. – LIU, C.X. – WANG, L.Q. Bio-high entropy alloys: Progress, challenges, and opportunities. In FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY. ISSN 2296-4185, SEP 8 2022, vol. 10. https://doi.org/10.3389/fbioe.2022.977282; WOS

3. [1.1] SINGH, M.B. – JAIN, P. – CHAUDHARY, P. – BAHADUR, I. – LAL, K. – KUMAR, V. – SINGH, P. – HIMANI – RAMAN, A.P.S. An update on synthesis, properties, applications and toxicity of the ILs. In JOURNAL OF MOLECULAR LIQUIDS. ISSN 0167-7322, OCT 15 2022, vol. 364. https://doi.org/10.1016/j.molliq.2022.119989; WOS

4. [1.1] TAN, M.T. – MENG, L. – FANG, S. – LIN, C. – KE, L.S. – YU, Z.H. – QU, J.K. – QI, T. Organizational Evolution during Performance Meritocracy of AlSi0.5CrxCo0.2Ni Lightweight High Entropy Alloys. In CRYSTALS. DEC 2022, vol. 12, no. 12. https://doi.org/10.3390/cryst12121828; WOS

 

• ELLIS, J. – VALKOVIČ, Ladislav – PURVIS, L.A.B. – CLARKE, W.T. – RODGERS, C.T. Reproducibility of human cardiac phosphorus MRS (31P-MRS) at 7 T. In NMR in Biomedicine, 2019, vol. 32, no. 6, p. e4095. (2018: 3.414 – IF, Q1 – JCR, 1.708 – SJR, Q1 – SJR). (2019 – Current Contents). ISSN 0952-3480. https://doi.org/10.1002/nbm.4095

WOS citations: 5; other citations: 1

1. [1.1] ESMAEILI, M. – VETTUKATTIL, R. In Vivo Magnetic Resonance Spectroscopy Methods for Investigating Cardiac Metabolism. In METABOLITES. FEB 2022, vol. 12, no. 2. https://doi.org/10.3390/metabo12020189; WOS

2. [1.1] GUPTA, A. Cardiac P-31 MR spectroscopy: development of the past five decades and future vision-will it be of diagnostic use in clinics?. In HEART FAILURE REVIEWS, 2022. ISSN 1382-4147. https://doi.org/10.1007/s10741-022-10287-x; WOS

3. [1.1] JEX, N. – CHOWDHARY, A. – THIRUNAVUKARASU, S. – PROCTER, H. – SENGUPTA, A. – NATARAJAN, P. – KOTHA, S. – POENAR, A.M. – SWOBODA, P. – XUE, H. – CUBBON, R.M. – KELLMAN, P. – GREENWOOD, J.P. – PLEIN, S. – PAGE, S. – LEVELT, E. Coexistent Diabetes Is Associated With the Presence of Adverse Phenotypic Features in Patients With Hypertrophic Cardiomyopathy. In DIABETES CARE. ISSN 0149-5992, AUG 2022, vol. 45, no. 8, p. 1852-1862. https://doi.org/10.2337/dc22-0083; WOS

4. [1.1] LARKIN, J.R. – FOO, L.S. – SUTHERLAND, B.A. – KHRAPITCHEV, A. – TEE, Y.K. Magnetic Resonance pH Imaging in Stroke – Combining the Old With the New. In FRONTIERS IN PHYSIOLOGY. FEB 3 2022, vol. 12. https://doi.org/10.3389/fphys.2021.793741; WOS

5. [1.1] YURISTA, S.R. – EDER, R.A. – KWON, D.H. – FARRAR, C.T. – YEN, Y.F. – TANG, W.H.W. – NGUYEN, C.T. Magnetic resonance imaging of cardiac metabolism in heart failure: how far have we come?. In EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING. ISSN 2047-2404, SEP 10 2022, vol. 23, no. 10, p. 1277-1289. https://doi.org/10.1093/ehjci/jeac121; WOS

6. [3.1] MADELIN, G. X-Nuclei Magnetic Resonance Imaging, 2022, ISBN 9789814800976.

 

• FARKAS, B. – KOLENČÍK, M. – HAIN, Miroslav – DOBROČKA, E. – KRATOŠOVÁ, G. – BUJDOŠ, M. – FENG, H. – DENG, Y. – YU, Q. – ILLA, R. – SUNIL, B.R. – KIM, H. – MATÚŠ, P. – URÍK, M. Aspergillus niger decreases bioavailability of arsenic(V) via biotransformation of manganese oxide into biogenic oxalate minerals. In Journal of Fungi, 2020, vol. 6, no. 4, art. no. 270. (2019: 4.621 – IF, Q1 – JCR, 1.416 – SJR, Q1 – SJR). (2020 – Current Contents). ISSN 2309-608X. https://doi.org/10.3390/jof6040270

WOS citations: 1

1. [1.1] EL-BADRY, M. – ELBARBARY, T. – ABDEL-FATAH, Y. – ABDEL-HALIM, S. – SHARADA, H. – IBRAHIM, I.A. Role of Actinomycete sp. in Bio-extraction of Copper from Electronic Waste. In BIOINTERFACE RESEARCH IN APPLIED CHEMISTRY. ISSN 2069-5837, 2022, vol. 12, no. 5, p. 6723-6740. https://doi.org/10.33263/BRIAC125.67236740; WOS

 

• FRAGONAS, E. – MLYNÁRIK, V. – JELLÚŠ, Vladimír – MICALI, F. – PIRAS, A. – TOFFANIN, R. – RIZZO, R. – VITTUR, F. Correlation between biochemical composition and magnetic resonance appearance of articular cartilage. In Osteoarthritis and Cartilage, 1998, vol. 6, no. 1, p. 24-32. (1997: 2.242 – IF). (1998 – Current Contents). ISSN 1063-4584. https://doi.org/10.1053/joca.1997.0089

WOS citations: 1; other citations: 1

1. [1.1] EMANUEL, K.S. – KELLNER, L.J. – PETERS, M.J.M. – HAARTMANS, M.J.J. – HOOIJMANS, M.T. – EMANS, P.J. The relation between the biochemical composition of knee articular cartilage and quantitative MRI: a systematic review and meta-analysis. In OSTEOARTHRITIS AND CARTILAGE. ISSN 1063-4584, MAY 2022, vol. 30, no. 5, p. 650-662. https://doi.org/10.1016/j.joca.2021.10.016; WOS

2. [3.1] MALINI DEVI, G. Prediction of knee osteoarthritis progression using machine learning techniques. In CLOUD ANALYTICS FOR INDUSTRY 4.0, 2022, p. 163-172. https://doi.org/10.1515/9783110771572-010

 

• FROLLO, Ivan – ANDRIS, Peter – KRAFČÍK, Andrej – GOGOLA, Daniel – DERMEK, Tomáš. Magnetic field homogeneity adjustment for magnetic resonance imaging equipment. In IEEE Transactions on Magnetics, 2018, vol. 54, no. 5, art. no. 6500309. (2017: 1.467 – IF, Q3 – JCR, 0.488 – SJR, Q2 – SJR). (2018 – Current Contents). ISSN 0018-9464. https://doi.org/10.1109/TMAG.2018.2804352

WOS citations: 1; SCOPUS citations: 2

1. [1.1] RODRIGUEZ, G.G. – SALVATORI, A. – ANOARDO, E. Dual k-space and image-space post-processing for field-cycling MRI under low magnetic field stability and homogeneity conditions. In MAGNETIC RESONANCE IMAGING. ISSN 0730-725X, APR 2022, vol. 87, p. 157-168. https://doi.org/10.1016/j.mri.2022.01.008; WOS

2. [1.2] MANSON, E.N. – INKOOM, S. – MUMUNI, A.N. Impact of Magnetic Field Inhomogeneity on the Quality of Magnetic Resonance Images and Compensation Techniques: A Review. In REPORTS IN MEDICAL IMAGING, 2022, vol. 15, p. 43-56. https://doi.org/10.2147/RMI.S369491; SCOPUS

3. [1.2] WANG, Y. – HU, H. – SHANG, H. – PENG, T. Measuring System with a Probe Array for Magnetic Field Homogeneity. In IEEE 3RD CHINA INTERNATIONAL YOUTH CONFERENCE ON ELECTRICAL ENGINEERING, CIYCEE 2022, 2022. https://doi.org/10.1109/CIYCEE55749.2022.9958965; SCOPUS

 

• FROLLO, Ivan – ANDRIS, Peter – STROLKA, Igor – BAČIAK, Ladislav. A least square method for measurement and optimisation in selected physical experiments. In Key Engineering Materials : Measurement Technology and Intelligent Instruments VI, 2005, vol. 296, p. 681-686. (2004: 0.278 – IF). (2005 – Current Contents). https://doi.org/10.4028/www.scientific.net/KEM.295-296.681

WOS citations: 1; SCOPUS citations: 1

1. [1.1] JANG, J. – HWANG, Y.J. A Feasibility Study of an Optimization-Based Active Field Uniformity Compensation Method for Superconducting Magnets. In IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY. ISSN 1051-8223, SEP 2022, vol. 32, no. 6. https://doi.org/10.1109/TASC.2022.3167371; WOS

2. [1.2] MANSON, E.N. – INKOOM, S. – MUMUNI, A.N. Impact of Magnetic Field Inhomogeneity on the Quality of Magnetic Resonance Images and Compensation Techniques: A Review. In REPORTS IN MEDICAL IMAGING, 2022, vol. 15, p. 43-56. https://doi.org/10.2147/RMI.S369491; SCOPUS

 

• FRUEHWALD-PALLAMAR, J. – SZOMOLÁNYI, Pavol – FAKHRAI, N. – LUNZER, A. – WEBER, M. – THURNHER, M.M. – PALLAMAR, M. – TRATTNIG, S. – PRAYER, D. – NOEBAUER-HUHMANN, I.M. Parallel imaging of the cervical spine at 3T: Optimized trade-off between speed and image quality. In American Journal of Neuroradiology, 2012, vol. 33, no. 10, p. 1867-1874. (2011: 2.928 – IF, Q1 – JCR, 1.753 – SJR, Q1 – SJR). (2012 – Current Contents). ISSN 0195-6108. https://doi.org/10.3174/ajnr.A3101

WOS citations: 4; other citations: 1

1. [1.1] BUNCH, P.M. – SACHS, J.R. – KELLY, H.R. – LIPFORD, M.E. – WEST, T.G. Magnetic Resonance Imaging of Head and Neck Emergencies, a Symptom-Based Review, Part 1 General Considerations, Vision Loss, and Eye Pain. In MAGNETIC RESONANCE IMAGING CLINICS OF NORTH AMERICA. ISSN 1064-9689, AUG 2022, vol. 30, no. 3, p. 409-424. https://doi.org/10.1016/j.mric.2022.04.005; WOS

2. [1.1] KIM, S. – PARK, C. – KIM, K.S. – JEONG, H.S. – LEE, S.M. Clinical feasibility of simultaneous multislice acceleration in knee MRI. In CLINICAL IMAGING. ISSN 0899-7071, FEB 2022, vol. 82, p. 216-223. https://doi.org/10.1016/j.clinimag.2021.11.031; WOS

3. [1.1] SEO, M. – YOON, J. – CHOI, Y. – NICKEL, D. – JANG, J. – SHIN, N.Y. – AHN, K.J. – KIM, B.S. Image Quality of High-Resolution 3-Dimensional Neck MRI Using CAIPIRINHA-VIBE and GRASP-VIBE An Intraindividual Comparative Study. In INVESTIGATIVE RADIOLOGY. ISSN 0020-9996, NOV 2022, vol. 57, no. 11, p. 711-719. https://doi.org/10.1097/RLI.0000000000000886; WOS

4. [1.1] YASAKA, K. – TANISHIMA, T. – OHTAKE, Y. – TAJIMA, T. – AKAI, H. – OHTOMO, K. – ABE, O. – KIRYU, S. Deep learning reconstruction for the evaluation of neuroforaminal stenosis using 1.5T cervical spine MRI: comparison with 3T MRI without deep learning reconstruction. In NEURORADIOLOGY. ISSN 0028-3940, OCT 2022, vol. 64, no. 10, p. 2077-2083. https://doi.org/10.1007/s00234-022-03024-6; WOS

5. [3.1] TRÒ, R. – ROASCIO, M. – TORTORA, D. – SEVERINO, M. – ROSSI, A. – COHEN-ADAD, J. – FATO, M.M. – ARNULFO, G. Diffusion Kurtosis Imaging of Neonatal Spinal Cord in Clinical Routine. In FRONTIERS IN RADIOLOGY, 2022, vol. 2, art. no. 794981. https://doi.org/10.3389/fradi.2022.794981

 

• GAJDOŠÍK, M. – CHADZYNSKI, G. – HANGEL, G. – MLYNÁRIK, V. – CHMELÍK, M. – VALKOVIČ, Ladislav – BOGNER, W. – POHMANN, R. – SCHEFFLER, K. – TRATTNIG, S. – KRŠŠÁK, M. Ultrashort-TE stimulated echo acquisition mode (STEAM) improves the quantification of lipids and fatty acid chain unsaturation in the human liver at 7T. In NMR in Biomedicine, 2015, vol. 28, no. 10, p. 1283–1293. (2014: 3.044 – IF, Q1 – JCR, 1.635 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 0952-3480. https://doi.org/10.1016/j.jbiomech.2015.06.016

WOS citations: 2

1. [1.1] FALLONE, C.J. – TESSIER, A.G. – YAHYA, A. Fat unsaturation measures in tibial, subcutaneous and breast adipose tissue using short and long TE MRS at 3 T. In MAGNETIC RESONANCE IMAGING. ISSN 0730-725X, FEB 2022, vol. 86, p. 61-69. https://doi.org/10.1016/j.mri.2021.11.007; WOS

2. [1.1] MARTEL, D. – SAXENA, A. – BELMONT, H.M. – HONIG, S. – CHANG, G. Fatty Acid Composition of Proximal Femur Bone Marrow Adipose Tissue in Subjects With Systemic Lupus Erythematous Using 3 T Magnetic Resonance Spectroscopy. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, AUG 2022, vol. 56, no. 2, p. 618-624. https://doi.org/10.1002/jmri.28038; WOS

 

• GAJDOŠÍK, M. – CHMELÍK, M. – KUKUROVÁ, I.J. – BOGNER, W. – VALKOVIČ, Ladislav – TRATTNIG, S. – KRŠŠÁK, M. In vivo relaxation behavior of liver compounds at 7 tesla, measured by single-voxel proton in MR spectroscopy. In Journal of Magnetic Resonance Imaging, 2014, vol. 40, no. 6, p. 1365-1374. (2013: 2.788 – IF, Q1 – JCR, 1.624 – SJR, Q1 – SJR). (2014 – Current Contents). ISSN 1053-1807. https://doi.org/10.1002/jmri.24489

WOS citations: 2

1. [1.1] LI, Y.-W. – JIAO, Y. – CHEN, N. – GAO, Q. – CHEN, Y.-K. – ZHANG, Y.-F. – WEN, Q.-P. – ZHANG, Z.-M. How to select the quantitative magnetic resonance technique for subjects with fatty liver: A systematic review. In WORLD JOURNAL OF CLINICAL CASES, 2022, vol. 10, no. 25, p. 8906-8921. ISSN 2307-8960. https://doi.org/10.12998/wjcc.v10.i25.8906; WOS

2. [1.1] RUSCHKE, S. – KARAMPINOS, D.C. Single-voxel short-TR multi-TI multi-TE STEAM MRS for water-fat relaxometry. In MAGNETIC RESONANCE IN MEDICINE, 2022, vol. 87, no. 6, p. 2587-2599. ISSN 0740-3194. https://doi.org/10.1002/mrm.29157; WOS

 

• GÎRGEL, I. – ŠATKA, Alexander – PRIESOL, J. – COULON, P.-M. – LE BOULBAR, E.D. – BATTEN, T. – ALLSOPP, D.W.E. – SHIELDS, P.A. Optical characterization of magnesium incorporation in p-GaN layers for core–shell nanorod light-emitting diodes. In Journal of Physics D: Applied Physics, 2018, vol. 51, no. 15, art. no. 155103. (2017: 2.373 – IF, Q2 – JCR, 0.717 – SJR, Q1 – SJR). (2018 – Current Contents). ISSN 0022-3727. https://doi.org/10.1088/1361-6463/aab16b

WOS citations: 1

1. [1.1] BORBLIK, V.L. Diffusion length of non-equilibrium current carriers in nanowire radial p-n junctions: Effect of the curvature. In SEMICONDUCTOR PHYSICS QUANTUM ELECTRONICS & OPTOELECTRONICS. ISSN 1560-8034, 2022, vol. 25, no. 4, p. 394-397. https://doi.org/10.15407/spqeo25.04.394; WOS

 

• GRENDÁR, Marián – JUDGE, G.G. Asymptotic equivalence of empirical likelihood and Bayesian MAP. In Annals of Statistics, 2009, vol. 37, no. 5A, p. 2445-2457. (2008: 2.307 – IF, Q1 – JCR, 5.203 – SJR, Q1 – SJR). (2009 – Current Contents). ISSN 0090-5364. https://doi.org/10.1214/08-AOS645

WOS citations: 4; SCOPUS citations: 1

1. [1.1] BACKHOFF-VERAGUAS, J. – FONTBONA, J. – RIOS, G. – TOBAR, F. Bayesian learning with Wasserstein barycenters*. In ESAIM-PROBABILITY AND STATISTICS. ISSN 1292-8100, DEC 8 2022, vol. 26, p. 436-472. https://doi.org/10.1051/ps/2022015; WOS

2. [1.1] GOH, G. – YU, J.S. Synthetic control method with convex hull restrictions: a Bayesian maximum a posteriori approach. In ECONOMETRICS JOURNAL. ISSN 1368-4221, JAN 2022, vol. 25, no. 1, p. 215-232. https://doi.org/10.1093/ectj/utab015; WOS

3. [1.1] MOON, C. – BEDOUI, A. Bayesian elastic net based on empirical likelihood. In JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2022. ISSN 0094-9655. https://doi.org/10.1080/00949655.2022.2148254; WOS

4. [1.1] XU, Z.H. – CAMPBELL, T. The computational asymptotics of Gaussian variational inference and the Laplace approximation. In STATISTICS AND COMPUTING. ISSN 0960-3174, AUG 2022, vol. 32, no. 4. https://doi.org/10.1007/s11222-022-10125-y; WOS

5. [1.2] JAHAN, F. – KENNEDY, D.W. – DUNCAN, E.W. – MENGERSEN, K.L. Evaluation of spatial Bayesian Empirical Likelihood models in analysis of small area data. In PLoS ONE, 2022, vol. 17, no. 5. https://doi.org/10.1371/journal.pone.0268130; SCOPUS

 

• GRUWEL, M.L.H. – GHOSH, P.K. – LATTA, Peter – JAYAS, D.S. On the diffusion constant of water in wheat. In Journal of Agricultural and Food Chemistry, 2008, vol. 56, p. 59-62. (2007: 2.532 – IF, Q1 – JCR, 1.252 – SJR, Q1 – SJR). (2008 – Current Contents). ISSN 0021-8561. https://doi.org/10.1021/jf0720537

WOS citations: 1

1. [1.1] SARKAR, T. – SALAUDDIN, M. – KIRTONIA, K. – PATI, S. – REBEZOV, M. – KHAYRULLIN, M. – PANASENKO, S. – TRETYAK, L. – TEMERBAYEVA, M. – KAPUSTINA, N. – AZIMOVA, S. – GRUZDEVA, L. – MAKHMUDOV, F. – NIKITIN, I. – KASSENOV, A. – SHARIATI, M.A. – LORENZO, J.M. A Review on the Commonly Used Methods for Analysis of Physical Properties of Food Materials. In APPLIED SCIENCES-BASEL. FEB 2022, vol. 12, no. 4. https://doi.org/10.3390/app12042004; WOS

 

• GRUWEL, M.L.H. – LATTA, Peter – MATWIY, B. – TOMANEK, B. Characterization of food stuffs using Magnetic Resonance Elastography. In Food Research International, 2010, vol. 43, no. 8, p. 2087-2092. (2009: 2.414 – IF, 1.487 – SJR, Q1 – SJR). (2010 – Current Contents). ISSN 0963-9969. https://doi.org/10.1016/j.foodres.2010.07.015

WOS citations: 1; SCOPUS citations: 1

1. [1.1] BENECH, N. – CAMARGO, A. – NEGREIRA, C. Simplified Green’;s function for surface waves in quasi-incompressible elastic plates with application to elastography. In JOURNAL OF PHYSICS-CONDENSED MATTER. ISSN 0953-8984, MAY 24 2022, vol. 34, no. 21. https://doi.org/10.1088/1361-648X/ac5993; WOS

2. [1.2] TRIOLO, E.R. – KHEGAI, O. – OZKAYA, E. – ROSSI, N. – ALIPOUR, A. – FLEYSHER, L. – BALCHANDANI, P. – KURT, M. Design, Construction, and Implementation of a Magnetic Resonance Elastography Actuator for Research Purposes. In CURRENT PROTOCOLS, 2022, vol. 2, no. 3. https://doi.org/10.1002/cpz1.379; SCOPUS

 

• GRUWEL, M.L.H. – LATTA, Peter – TANASIEWICZ, M. – VOLOTOVSKYY, V. – ŠRÁMEK, Miloš – TOMANEK, B. MR imaging of teeth using a silent single point imaging technique. In Applied Physics A-Materials Science & Processing, 2007, vol. 88, no. 4, p. 763-767. (2006: 1.739 – IF, Q1 – JCR, 1.301 – SJR, Q1 – SJR). (2007 – Current Contents). ISSN 0947-8396. https://doi.org/10.1007/s00339-007-4066-x

WOS citations: 1

1. [1.1] FROIDEVAUX, R. – WEIGER, M. – PRUESSMANN, K.P. Pulse encoding for ZTE imaging: RF excitation without dead-time penalty. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, MAR 2022, vol. 87, no. 3, p. 1360-1374. https://doi.org/10.1002/mrm.29056; WOS

 

• HAVELKA, D. – ZHERNOV, I. – TEPLAN, Michal – LÁNSKÝ, Z. – CHAFAI, D. – CIFRA, M. Lab‑on‑chip microscope platform for electro‑manipulation of a dense microtubules network. In Scientific Reports, 2022, vol. 12, art. no. 2462. (2021: 4.997 – IF, Q2 – JCR, 1.005 – SJR, Q1 – SJR). (2022 – Current Contents). ISSN 2045-2322. https://doi.org/10.1038/s41598-022-06255-y

WOS citations: 1

1. [1.1] TASSINARI, R. – CAVALLINI, C. – OLIVI, E. – FACCHIN, F. – TAGLIOLI, V. – ZANNINI, C. – MARCUZZI, M. – VENTURA, C. Cell Responsiveness to Physical Energies: Paving the Way to Decipher a Morphogenetic Code. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. MAR 2022, vol. 23, no. 6. https://doi.org/10.3390/ijms23063157; WOS

 

• HLÁSNY, T. – TROMBIK, J. – HOLUŠA, J. – LUKÁŠOVÁ, K. – GRENDÁR, Marián – TURČÁNI, M. – ZÚBRIK, M. – TABAKOVIĆ-TOŠIĆ, M. – HIRKA, A. – BUKSHA, I. – MODLINGER, R. – KACPRZYK, M. – CSòKA, G. Multi-decade patterns of gypsy moth fluctuations in the Carpathian Mountains and options for outbreak forecasting. In Journal of Pest Science, 2016, vol. 89, no. 2, p. 413-425. (2015: 3.103 – IF, Q1 – JCR, 1.383 – SJR, Q1 – SJR). (2016 – Current Contents). ISSN 1612-4758. https://doi.org/10.1007/s10340-015-0694-7

WOS citations: 5

1. [1.1] BLANCO-RODRIGUEZ, M.A. – ESPELTA, J.M. Tree species composition and management influence short-term resilience to defoliation by Lymantria dispar L. in oak forests. In FOREST ECOLOGY AND MANAGEMENT. ISSN 0378-1127, SEP 15 2022, vol. 520. https://doi.org/10.1016/j.foreco.2022.120399; WOS

2. [1.1] BOUKOUVALA, M.C. – KAVALLIERATOS, N.G. – SKOURTI, A. – PONS, X. – ALONSO, C.L. – EIZAGUIRRE, M. – FERNANDEZ, E.B. – SOLERA, E.D. – FITA, S. – BOHINC, T. – TRDAN, S. – AGRAFIOTI, P. – ATHANASSIOU, C.G. Lymantria dispar (L.) (Lepidoptera: Erebidae): Current Status of Biology, Ecology, and Management in Europe with Notes from North America. In INSECTS. SEP 2022, vol. 13, no. 9. https://doi.org/10.3390/insects13090854; WOS

3. [1.1] GUO, X.L. – WANGHE, K.Y. – AHMAD, S. – NABI, G. – ZHANG, K. – ZHU, L.H. – LU, D.G. – HAN, D.Z. – ZHOU, K. – STRELNIKOV, I.I. – KHAN, T.U. – LI, K. – ZHAO, K. A methodological framework integrating habitat suitability and landscape connectivity to identify optimal regions for insecticide application: A case study in Tongzhou, China. In JOURNAL OF KING SAUD UNIVERSITY SCIENCE. ISSN 1018-3647, APR 2022, vol. 34, no. 3. https://doi.org/10.1016/j.jksus.2022.101905; WOS

4. [1.1] HOCHREIN, S. – MITESSER, O. – LIEBHOLD, A.M. – WEISSER, W.W. – LEROY, B.M.L. – PRETZSCH, H. – HILMERS, T. – RABL, D. – MULLER, J. Response of cavity nesting birds to Lymantria dispar (Lepidoptera) and aerial spraying – An experimental approach. In FOREST ECOLOGY AND MANAGEMENT. ISSN 0378-1127, NOV 15 2022, vol. 524. https://doi.org/10.1016/j.foreco.2022.120520; WOS

5. [1.1] MANNU, R. – OLIVIERI, M. – COCCO, A. – LENTINI, A. Development of Enumerative and Binomial Sequential Sampling Plans for Monitoring Lymantria dispar (L.) (Lepidoptera Erebidae) in Mediterranean Oak Forests. In AGRONOMY-BASEL. JUL 2022, vol. 12, no. 7. https://doi.org/10.3390/agronomy12071501; WOS

 

• HOCK, A. – VALKOVIČ, Ladislav – GEIER, A. – KUNTZEN, T. – BOESIGER, P. – HENNING, A. Navigator based respiratory gating during acquisition and preparation phases for proton liver spectroscopy at 3 T. In NMR in Biomedicine, 2014, vol. 27, no. 3, p. 348-355. (2013: 3.559 – IF, Q1 – JCR, 1.630 – SJR, Q1 – SJR). (2014 – Current Contents). ISSN 0952-3480. https://doi.org/10.1002/nbm.3069

WOS citations: 1

1. [1.1] FALLONE, C. J. – TESSIER, A. G. – YAHYA, A. Fat unsaturation measures in tibial, subcutaneous and breast adipose tissue using short and long TE MRS at 3 T. In MAGNETIC RESONANCE IMAGING, 2022, vol. 86, no., pp. 61-69. ISSN 0730-725X. https://doi.org/10.1016/j.mri.2021.11.007; WOS

 

• HORNIŠOVÁ, Klára – BILLIK, Peter. Some properties of horn equation model of ultrasonic system vibration and of transfer matrix and equivalent circuit methods of its solution. In Ultrasonics, 2014, vol. 54, no. 1, p. 330-342. (2013: 1.805 – IF, Q2 – JCR, 0.668 – SJR, Q1 – SJR). (2014 – Current Contents). ISSN 0041-624X. https://doi.org/10.1016/j.ultras.2013.05.003

WOS citations: 1

1. [1.1] CHENG, X. – YANG, K. – WANG, J. – XIAO, W. – HUANG, S. Ultrasonic system and ultrasonic metal welding performance: A status review. In JOURNAL OF MANUFACTURING PROCESSES. ISSN 1526-6125, DEC 2022, vol. 84, p. 1196-1216. https://doi.org/10.1016/j.jmapro.2022.10.067; WOS

 

• HUNDERTMARK, M. – AGBAJE, O. – COLEMAN, R. – GEORGE, J. – GREMPLER, R. – HOLMAN, R. – LAMLUM, H. – LEE, J. – MILTON, J. – NIESSEN, H. – RIDER, O. – RODGERS, C. – VALKOVIČ, Ladislav – WICKS, E. – MAHMOD, M. – NEUBAUER, S. Design and rationale of the EMPA-VISION trial: Investigating the metabolic effects of empagliflozin in patients with heart failure. In ESC Heart Failure, 2021, vol. 8, no. 4, p. 2580-2590. (2020: 4.411 – IF, Q2 – JCR, 0.787 – SJR, Q2 – SJR). (2021 – Current Contents). ISSN 2055-5822. https://doi.org/10.1002/ehf2.13406

WOS citations: 6; SCOPUS citations: 1

1. [1.1] HERNANDEZ, M. – SULLIVAN, R.D. – MCCUNE, M.E. – REED, G.L. – GLADYSHEVA, I.P. Sodium-Glucose Cotransporter-2 Inhibitors Improve Heart Failure with Reduced Ejection Fraction Outcomes by Reducing Edema and Congestion. In DIAGNOSTICS. APR 2022, vol. 12, no. 4. https://doi.org/10.3390/diagnostics12040989; WOS

2. [1.1] MORDI, I.R. – LANG, C.C. Glucose-Lowering and Metabolic Effects of SGLT2 Inhibitors. In HEART FAILURE CLINICS. ISSN 1551-7136, OCT 2022, vol. 18, no. 4, p. 529-538. https://doi.org/10.1016/j.hfc.2022.03.004; WOS

3. [1.1] SANTOS-GALLEGO, C.G. – MAYR, M. – BADIMON, J. SGLT2 Inhibitors in Heart Failure: Targeted Metabolomics and Energetic Metabolism. In CIRCULATION. ISSN 0009-7322, SEP 13 2022, vol. 146, no. 11, p. 819-821. https://doi.org/10.1161/CIRCULATIONAHA.122.060805; WOS

4. [1.1] SELVARAJ, S. – FU, Z.X. – JONES, P. – KWEE, L.C. – WINDSOR, S.L. – ILKAYEVA, O. – NEWGARD, C.B. – MARGULIES, K.B. – HUSAIN, M. – INZUCCHI, S.E. – MCGUIRE, D.K. – PITT, B. – SCIRICA, B.M. – LANFEAR, D.E. – NASSIF, M.E. – JAVAHERI, A. – MENTZ, R.J. – KOSIBOROD, M.N. – SHAH, S.H. Metabolomic Profiling of the Effects of Dapagliflozin in Heart Failure With Reduced Ejection Fraction: DEFINE-HF. In CIRCULATION. ISSN 0009-7322, SEP 13 2022, vol. 146, no. 11, p. 808-818. https://doi.org/10.1161/CIRCULATIONAHA.122.060402; WOS

5. [1.1] VARADHAN, A. – STEPHAN, K. – GUPTA, R. – VYAS, A.V. – RANCHAL, P. – ARONOW, W.S. – HAWWA, N. – LANIER, G.M. Growing role of SGLT2i in heart failure: evidence from clinical trials. In EXPERT REVIEW OF CLINICAL PHARMACOLOGY. ISSN 1751-2433, FEB 1 2022, vol. 15, no. 2, p. 147-159. https://doi.org/10.1080/17512433.2022.2051480; WOS

6. [1.1] YIN, Z.W. – ZHENG, H.Z. – GUO, Z.H. Effect of Sodium-Glucose Co-transporter Protein 2 Inhibitors on Arrhythmia in Heart Failure Patients With or Without Type 2 Diabetes: A Meta-Analysis of Randomized Controlled Trials. In FRONTIERS IN CARDIOVASCULAR MEDICINE. ISSN 2297-055X, MAY 18 2022, vol. 9. https://doi.org/10.3389/fcvm.2022.902923; WOS

7. [1.2] SCHWITTER, J. Getting Deeper Insight by Hyperpolarization: The Multilevel Assessment of Myocardial Infarction by Adding Hyperpolarized sup13/supC-Carbon-CMR. In JACC: CARDIOVASCULAR IMAGING, 2022, vol. 15, no. 12, p. 2065-2068. ISSN 1936-878X. https://doi.org/10.1016/j.jcmg.2022.09.002; SCOPUS

 

• CHMELÍK, M. – VALKOVIČ, Ladislav – WOLF, P. – BOGNER, W. – GAJDOŠÍK, M. – HALILBASIC, E. – GRUBER, S. – TRAUNER, M. – KREBS, M. – TRATTNIG, S. – KRŠŠÁK, M. Phosphatidylcholine contributes to in vivo 31P MRS signal from the human liver. In European Radiology, 2015, vol. 25, no. 7, p. 2059–2066. (2014: 4.014 – IF, Q1 – JCR, 2.364 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 0938-7994. https://doi.org/10.1007/s00330-014-3578-y

WOS citations: 1

1. [1.1] MACHANN, J. Editorial for “Concentration of Gallbladder Phosphatidylcholine in Cholangiopathies: A P-31 MR Spectroscopy Pilot Study”. In JOURNAL OF MAGNETIC RESONANCE IMAGING, 2022, vol. 55, no. 2, p. 541-542. ISSN 1053-1807. https://doi.org/10.1002/jmri.27818; WOS

 

• CHMELÍK, M. – POVAŽAN, M. – JÍRŮ, F. – KUKUROVÁ, I.J. – DEZORTOVÁ, M. – KRŠŠÁK, M. – BOGNER, W. – HÁJEK, M. – TRATTNIG, S. – VALKOVIČ, Ladislav. Flip-angle mapping of 31P coils by steady-state MR spectroscopic imaging. In Journal of Magnetic Resonance Imaging, 2014, vol. 40, p. 391-397. (2013: 2.788 – IF, Q1 – JCR, 1.624 – SJR, Q1 – SJR). (2014 – Current Contents). ISSN 1053-1807. https://doi.org/10.1002/jmri.24401

WOS citations: 1

1. [1.1] VAEGGEMOSE, M. – SCHULTE, R.F. – LAUSTSEN, C. Clinically feasible B-1 field correction for multi-organ sodium imaging at 3 T. In NMR IN BIOMEDICINE, 2022. ISSN 0952-3480. https://doi.org/10.1002/nbm.4835; WOS

 

• CHMELÍK, M. – KUKUROVÁ, I.J. – GRUBER, S. – KRŠŠÁK, M. – VALKOVIČ, Ladislav – TRATTNIG, S. – BOGNER, W. Fully adiabatic 31P 2D-CSI with reduced chemical shift displacement error at 7 T — GOIA-1D-ISIS/2D-CSI. In Magnetic Resonance in Medicine, 2013, vol. 69, no. 5, p. 1233-1244. (2012: 3.267 – IF, Q1 – JCR, 2.158 – SJR, Q1 – SJR). (2013 – Current Contents). ISSN 0740-3194. https://doi.org/10.1002/mrm.24363

WOS citations: 2

1. [1.1] RIEMANN, L.T. – AIGNER, C.S. – ELLISON, S.L.R. – BRUHL, R. – MEKLE, R. – SCHMITTER, S. – SPECK, O. – ROSE, G. – ITTERMANN, B. – FILLMER, A. Assessment of measurement precision in single-voxel spectroscopy at 7 T: Toward minimal detectable changes of metabolite concentrations in the human brain in vivo. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, MAR 2022, vol. 87, no. 3, p. 1119-1135. https://doi.org/10.1002/mrm.29034; WOS

2. [1.1] WEIS, J. – JAFAR, M. – LISS, P. Phosphorus MRS of healthy human spleen. In NMR IN BIOMEDICINE. ISSN 0952-3480, OCT 2022, vol. 35, no. 10. https://doi.org/10.1002/nbm.4779; WOS

 

• CHOLUJOVÁ, D. – JAKUBÍKOVÁ, J. – KUBEŠ, M. – ARENDACKÁ, Barbora – SAPÁK, M. – IHNATKO, R. – SEDLÁK, J. Comparative study of four fluorescent probes for evaluation of natural killer cell cytotoxicity assays. In Immunobiology, 2008, vol. 213, no. 8, p. 629 – 640. (2007: 2.886 – IF, Q2 – JCR, 1.451 – SJR, Q1 – SJR). (2008 – Current Contents). ISSN 0171-2985. https://doi.org/10.1016/j.imbio.2008.02.006

WOS citations: 2

1. [1.1] DONSKOI, B. – ONYSHCHUK, O. – KONONENKO, I. – SIRENKO, V. – BODNAR, N. – SERBYN, A. – KOZACHOK, A. – BROVARSKA, Y. – OSYPCHUK, D. – ANOCHKO, Y. – CHERNYCHOV, V. Accentuated Peripheral Blood NK Cytotoxicity Forms an Unfavorable Background for Embryo Implantation and Gestation. In DIAGNOSTICS. APR 2022, vol. 12, no. 4. https://doi.org/10.3390/diagnostics12040908; WOS

2. [1.1] DONSKOI, B.V. – OSYPCHUK, D.V. – BAKSHEEV, S.M. – SUDOMA, I.O. – GONCHAROVA, Y.O. – PALYHA, I.E. – SIRENKO, V.Y. – KHAZHYLENKO, K.G. – ONYSHCHUK, O. – ANOSHKO, Y. – SHAPOVALENKO, N.O. A blinded multicenter investigation: Accentuated NK lymphocyte CD335 (NKp46) expression predicts reproductive failures after IVF.. In IMMUNOLOGY LETTERS. ISSN 0165-2478, DEC 2022, vol. 251, p. 47-55. https://doi.org/10.1016/j.imlet.2022.10.003; WOS

 

• CHVOSTEKOVÁ, Martina – JAKUBÍK, Jozef – KRAKOVSKÁ, Anna. Granger causality on forward and reversed time series. In Entropy, 2021, vol. 23, no. 4, p. 409. (2020: 2.524 – IF, Q2 – JCR, 0.468 – SJR, Q2 – SJR). (2021 – Current Contents). ISSN 1099-4300. https://doi.org/10.3390/e23040409

WOS citations: 2; SCOPUS citations: 1

1. [1.1] ELBEDOUR, A. – CHENG, X.Q. – MURTHY, S.R.K. – ZHUANG, T.S. – LY, L. – JONES, O. – BASADONNA, G. – KEIDAR, M. – CANADY, J. The Granger Causal Effects of Canady Helios Cold Plasma on the Inhibition of Breast Cancer Cell Proliferation. In APPLIED SCIENCES-BASEL. MAY 2022, vol. 12, no. 9. https://doi.org/10.3390/app12094622; WOS

2. [1.1] FAES, A. – VANTIEGHEM, I. – VAN HULLE, M.M. Neural Networks for Directed Connectivity Estimation in Source-Reconstructed EEG Data. In APPLIED SCIENCES-BASEL. MAR 2022, vol. 12, no. 6. https://doi.org/10.3390/app12062889; WOS

3. [1.2] SUN, S.C. – JIN, B. – WEI, Z. – GUO, W. Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process. In IJCAI INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2022, p. 5171-5177. ISSN 10450823. https://doi.org/10.24963/ijcai.2022/718; SCOPUS

 

• JAHN, P. – DEAK, B. – MAYR, A. – STANKEWITZ, A. – KEESER, D. – GRIFFANTI, L. – WITKOVSKÝ, Viktor – IRVING, S. – SCHULZ, E. Intrinsic network activity reflects the ongoing experience of chronic pain. In Scientific Reports, 2021, vol. 11, no. 1, art. no. 21870. (2020: 4.380 – IF, Q1 – JCR, 1.240 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 2045-2322. https://doi.org/10.1038/s41598-021-01340-0

WOS citations: 1

1. [1.1] VANDE VYVERE, T. – DE GROOTE, A. – DE GROEF, A. – HAENEN, V. – TJALMA, W. – VAN DYCK, P. – MEEUS, M. Morphological and functional brain changes in chronic cancer-related pain: A systematic review. In ANATOMICAL RECORD-ADVANCES IN INTEGRATIVE ANATOMY AND EVOLUTIONARY BIOLOGY. ISSN 1932-8486, 2022. https://doi.org/10.1002/ar.25113; WOS

 

• JURÁŠ, Vladimír – CHANG, G. – REGATTE, R.R. Current status of functional MRI of osteoarthritis for diagnosis and prognosis. In Current Opinion in Rheumatology, 2020, vol. 32, no. 1, p. 102-109. (2019: 4.006 – IF, Q2 – JCR, 1.525 – SJR, Q1 – SJR). (2020 – Current Contents). ISSN 1040-8711. https://doi.org/10.1097/BOR.0000000000000674

WOS citations: 3

1. [1.1] LUO, P. – HU, W. – JIANG, L. – CHANG, S. – WU, D. – LI, G. – DAI, Y. Evaluation of articular cartilage in knee osteoarthritis using hybrid multidimensional MRI. In CLINICAL RADIOLOGY. ISSN 0009-9260, JUL 2022, vol. 77, no. 7, p. E518-E525. https://doi.org/10.1016/j.crad.2022.03.002; WOS

2. [1.1] SU, J.R. – WAN, H.Y. – PANG, Y.C. – LU, Y.L. – LIANG, J.M. – YAN, Z.G. – XU, S.B. – SUN, T.Z. Trans-Posterior Cruciate Ligament All-Inside Root Repair Versus Partial Meniscectomy for Medial Meniscus Posterior Root Tears: Comparison of Semiquantitative and Quantitative MRI Outcomes in Cartilage Degeneration and Osteoarthritic Progression. In CARTILAGE. ISSN 1947-6035, JUL 2022, vol. 13, no. 3. https://doi.org/10.1177/19476035221114242; WOS

3. [1.1] ZHOU, X.C. – SHEN, X. MRI Semi-Quantitative Evaluation of Clinical Features of Cartilage Injury in Patients with Osteoarthritis. In CONCEPTS IN MAGNETIC RESONANCE PART A. ISSN 1546-6086, JUL 8 2022, vol. 2022. https://doi.org/10.1155/2022/9057181; WOS

 

• JURÁŠ, Vladimír – ZBÝŇ, Š. – MLYNÁRIK, V. – SZOMOLÁNYI, Pavol – HAGER, B. – BAER, P. – FROLLO, Ivan – TRATTNIG, S. The compositional difference between ankle and knee cartilage demonstrated by T2 mapping at 7 Tesla MR. In European Journal of Radiology, 2016, vol. 85, no. 4, p. 771-777. (2015: 2.593 – IF, Q2 – JCR, 1.209 – SJR, Q1 – SJR). (2016 – Current Contents). ISSN 0720-048X. https://doi.org/10.1016/j.ejrad.2016.01.021

WOS citations: 1; SCOPUS citations: 1

1. [1.1] ACCART, N. – DAWSON, J. – OBRECHT, M. – LAMBERT, C. – FLUECKIGER, M. – KREIDER, J. – HATAKEYAMA, S. – RICHARDS, P.J. – BECKMANN, N. Degenerative joint disease induced by repeated intra-articular injections of monosodium urate crystals in rats as investigated by translational imaging. In SCIENTIFIC REPORTS. ISSN 2045-2322, JAN 7 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-021-04125-7; WOS

2. [1.2] KESZÉG, M. – PÁNICS, G. – GULÁCSI, G. – TÓTH, G. – HANGODY, L. Long-term outcomes of talus osteochondral autologous transplantation in soccer players: 24 mosaicplasty with more than 10 years of follow-up. In JOURNAL OF CARTILAGE AND JOINT PRESERVATION, 2022, vol. 2, no. 2. https://doi.org/10.1016/j.jcjp.2022.100061; SCOPUS

 

• JURÁŠ, Vladimír – WINHOFER, Y. – SZOMOLÁNYI, Pavol – VOSSHENRICH, J. – HAGER, B. – WOLF, P. – WEBER, M. – LUGER, A. – TRATTNIG, S. Multiparametric MR imaging depicts glycosaminoglycan change in the Achilles tendon during ciprofloxacin administration in healthy men: Initial observation. In Radiology, 2015, vol. 275, no. 3, p. 763-771. (2014: 6.867 – IF, Q1 – JCR, 3.873 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 0033-8419. https://doi.org/10.1148/radiol.15140484

WOS citations: 1

1. [1.1] KAMP, B. – FRENKEN, M. – KLEIN-SCHMEINK, L. – NAGEL, A.M. – WILMS, L.M. – RADKE, K.L. – TSIAMI, S. – SEWERIN, P. – BARALIAKOS, X. – ANTOCH, G. – ABRAR, D.B. – WITTSACK, H.J. – MULLER-LUTZ, A. Evaluation of Sodium Relaxation Times and Concentrations in the Achilles Tendon Using MRI. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. SEP 2022, vol. 23, no. 18. https://doi.org/10.3390/ijms231810890; WOS

 

• JURÁŠ, Vladimír – WELSCH, G.H. – BÄR, P. – KRONNERWETTER, C. – FUJITA, H. – TRATTNIG, S. Comparison of 3 T and 7 T MRI clinical sequences for ankle imaging. In European Journal of Radiology, 2012, vol. 81, no. 8, p. 1846-1850. (2011: 2.606 – IF, Q2 – JCR, 1.196 – SJR, Q1 – SJR). (2012 – Current Contents). ISSN 0720-048X. https://doi.org/10.1016/j.ejrad.2011.05.023

WOS citations: 1

1. [1.1] DOLL, C.U. – VON PUECKLER, K. – OFFHAUS, J. – BERNER, D. – BURK, J. Characterization of Equine Chronic Tendon Lesions in Low- and High-Field Magnetic Resonance Imaging. In VETERINARY SCIENCES. JUN 2022, vol. 9, no. 6. https://doi.org/10.3390/vetsci9060297; WOS

 

• JURÁŠ, Vladimír – ZBÝŇ, Š. – PRESSL, Ch. – DOMAYER, S. – HOFSTAETTER, J. – MAYERHOEFER, M.E. – WINDHAGER, R. – TRATTNIG, S. Sodium MR imaging of achilles tendinopathy at 7 T: Preliminary results. In Radiology, 2012, vol. 262, no. 1, p. 199-205. (2011: 5.726 – IF, Q1 – JCR, 3.235 – SJR, Q1 – SJR). (2012 – Current Contents). ISSN 0033-8419. https://doi.org/10.1148/radiol.11110897

WOS citations: 2

1. [1.1] KAMP, B. – FRENKEN, M. – KLEIN-SCHMEINK, L. – NAGEL, A.M. – WILMS, L.M. – RADKE, K.L. – TSIAMI, S. – SEWERIN, P. – BARALIAKOS, X. – ANTOCH, G. – ABRAR, D.B. – WITTSACK, H.J. – MULLER-LUTZ, A. Evaluation of Sodium Relaxation Times and Concentrations in the Achilles Tendon Using MRI. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. SEP 2022, vol. 23, no. 18. https://doi.org/10.3390/ijms231810890; WOS

2. [1.1] POLAK, P. – SCHULTE, R.F. – NOSEWORTHY, M.D. An approach to evaluation of the point-spread function for Na-23 magnetic resonance imaging. In NMR IN BIOMEDICINE. ISSN 0952-3480, FEB 2022, vol. 35, no. 2. https://doi.org/10.1002/nbm.4627; WOS

 

• JURÁŠ, Vladimír – APPRICH, S. – PRESSL, Ch. – ZBYN, S. – SZOMOLÁNYI, Pavol – DOMAYER, S. – HOFSTAETTER, J. – TRATTNIG, S. Histological correlation of 7 T multi-parametric MRI performed in ex-vivo Achilles tendon. In European Journal of Radiology, 2013, vol. 82, no. 5, p. 740-744. (2012: 2.512 – IF, Q2 – JCR, 1.007 – SJR, Q1 – SJR). (2013 – Current Contents). ISSN 0720-048X. https://doi.org/10.1016/j.ejrad.2011.09.022

WOS citations: 2

1. [1.1] KAMP, B. – FRENKEN, M. – KLEIN-SCHMEINK, L. – NAGEL, A.M. – WILMS, L.M. – RADKE, K.L. – TSIAMI, S. – SEWERIN, P. – BARALIAKOS, X. – ANTOCH, G. – ABRAR, D.B. – WITTSACK, H.J. – MULLER-LUTZ, A. Evaluation of Sodium Relaxation Times and Concentrations in the Achilles Tendon Using MRI. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. SEP 2022, vol. 23, no. 18. https://doi.org/10.3390/ijms231810890; WOS

2. [1.1] REGULSKI, P.A. – ZIELINSKI, J. – BORUCKI, B. – NOWINSKI, K. A Weighted Stochastic Conjugate Direction Algorithm for Quantitative Magnetic Resonance Images-A Pattern in Ruptured Achilles Tendon T2-Mapping Assessment. In HEALTHCARE. MAY 2022, vol. 10, no. 5. https://doi.org/10.3390/healthcare10050784; WOS

 

• JURÁŠ, Vladimír – ZBÝŇ, Š. – PRESSL, Ch. – VALKOVIČ, Ladislav – SZOMOLÁNYI, Pavol – FROLLO, Ivan – TRATTNIG, S. Regional variations of T2* in healthy and pathologic achilles tendon in vivo at 7 Tesla: Preliminary results. In Magnetic Resonance in Medicine, 2012, vol. 68, p. 1607-1613. (2011: 2.964 – IF, Q1 – JCR, 2.160 – SJR, Q1 – SJR). (2012 – Current Contents). ISSN 0740-3194. https://doi.org/10.1002/mrm.24136

WOS citations: 3; other citations: 1

1. [1.1] JERBAN, S. – MA, Y.J. – AFSAHI, A.M. – LOMBARDI, A. – WEI, Z. – SHEN, M. – WU, M. – LE, N. – CHANG, D.G. – CHUNG, C.B. – DU, J. – CHANG, E.Y. Lower Macromolecular Content in Tendons of Female Patients with Osteoporosis versus Patients with Osteopenia Detected by Ultrashort Echo Time (UTE) MRI. In DIAGNOSTICS. MAY 2022, vol. 12, no. 5. https://doi.org/10.3390/diagnostics12051061; WOS

2. [1.1] REGULSKI, P.A. – ZIELINSKI, J. – SZOPINSKI, K.T. Temporomandibular Disk Dislocation Impacts the Stomatognathic System: Comparative Study Based on Biexponential Quantitative T2 Maps. In JOURNAL OF CLINICAL MEDICINE. MAR 2022, vol. 11, no. 6. https://doi.org/10.3390/jcm11061621; WOS

3. [1.1] SONG, Y.J. – XUAN, W.K. – HUA, Y.H. Does additional extracorporeal shock wave therapy improve the effect of isolated percutaneous radiofrequency coblation in patients with insertional Achilles tendinopathy? Study protocol for a randomized controlled clinical trial. In TRIALS. NOV 7 2022, vol. 23, no. 1. https://doi.org/10.1186/s13063-022-06847-z; WOS

4. [3.1] MORE, S.S. – ZHANG, X. The UTE and ZTE Sequences at Ultra-High Magnetic Field Strengths: A Survey. In arXiv 2022, https://doi.org/10.48550/arXiv.2210.03317

 

• JURÁŠ, Vladimír – APPRICH, S. – SZOMOLÁNYI, Pavol – BIERI, O. – DELIGIANNI, X. – TRATTNIG, S. Bi-exponential T2* analysis of healthy and diseased Achilles tendons: An in vivo preliminary magnetic resonance study and correlation with clinical score. In European Radiology, 2013, vol. 23, no. 10, p. 2814–2822. (2012: 3.548 – IF, Q1 – JCR, 2.061 – SJR, Q1 – SJR). (2013 – Current Contents). ISSN 0938-7994. https://doi.org/10.1007/s00330-013-2897-8

WOS citations: 7

1. [1.1] FANG, Y.J. – ZHU, D.T. – WU, W.H. – YU, W.J. – LI, S.L. – MA, Y.J. Assessment of Achilles Tendon Changes After Long-Distance Running Using Ultrashort Echo Time Magnetization Transfer MR Imaging. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, SEP 2022, vol. 56, no. 3, p. 814-823. https://doi.org/10.1002/jmri.28072; WOS

2. [1.1] FRENCH, C. – LEE, K.N. – JACOBSON, J. – BUREAU, N.J. Imaging of Tendinopathies in Advancing Age. In RADIOLOGIC CLINICS OF NORTH AMERICA. ISSN 0033-8389, JUL 2022, vol. 60, no. 4, p. 583-592. https://doi.org/10.1016/j.rcl.2022.03.002; WOS

3. [1.1] JERBAN, S. – MA, Y.J. – AFSAHI, A.M. – LOMBARDI, A. – WEI, Z. – SHEN, M. – WU, M. – LE, N. – CHANG, D.G. – CHUNG, C.B. – DU, J. – CHANG, E.Y. Lower Macromolecular Content in Tendons of Female Patients with Osteoporosis versus Patients with Osteopenia Detected by Ultrashort Echo Time (UTE) MRI. In DIAGNOSTICS. MAY 2022, vol. 12, no. 5. https://doi.org/10.3390/diagnostics12051061; WOS

4. [1.1] REGULSKI, P.A. – ZIELINSKI, J. – BORUCKI, B. – NOWINSKI, K. A Weighted Stochastic Conjugate Direction Algorithm for Quantitative Magnetic Resonance Images-A Pattern in Ruptured Achilles Tendon T2-Mapping Assessment. In HEALTHCARE. MAY 2022, vol. 10, no. 5. https://doi.org/10.3390/healthcare10050784; WOS

5. [1.1] REGULSKI, P.A. – ZIELINSKI, J. – SZOPINSKI, K.T. Temporomandibular Disk Dislocation Impacts the Stomatognathic System: Comparative Study Based on Biexponential Quantitative T2 Maps. In JOURNAL OF CLINICAL MEDICINE. MAR 2022, vol. 11, no. 6. https://doi.org/10.3390/jcm11061621; WOS

6. [1.1] WANG, D.F. – EHSES, P. – STOCKER, T. – STIRNBERG, R. Reproducibility of rapid multi-parameter mapping at 3T and 7T with highly segmented and accelerated 3D-EPI. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, NOV 2022, vol. 88, no. 5, p. 2217-2232. https://doi.org/10.1002/mrm.29383; WOS

7. [1.1] WILMS, L.M. – RADKE, K.L. – LATZ, D. – THIEL, T.A. – FRENKEN, M. – KAMP, B. – FILLER, T.J. – NAGEL, A.M. – MULLER-LUTZ, A. – ABRAR, D.B. – NEBELUNG, S. UTE-T2* versus conventional T2* mapping to assess posterior cruciate ligament ultrastructure and integrity-an in-situ study. In QUANTITATIVE IMAGING IN MEDICINE AND SURGERY. ISSN 2223-4292, AUG 2022, vol. 12, no. 8, p. 4190. https://doi.org/10.21037/qims-22-251; WOS

 

• JURÁŠ, Vladimír – BOHNDORF, K. – HEULE, R. – KRONNERWETTER, C. – SZOMOLÁNYI, Pavol – HAGER, B. – BIERI, O. – ZBÝŇ, Š. – TRATTNIG, S. A comparison of multi-echo spin-echo and triple-echo steady-state T2 mapping for in vivo evaluation of articular cartilage. In European Radiology, 2016, vol. 26, no. 6, p. 1905-1912. (2015: 3.640 – IF, Q1 – JCR, 2.123 – SJR, Q1 – SJR). (2016 – Current Contents). ISSN 0938-7994. https://doi.org/10.1007/s00330-015-3979-6

WOS citations: 1

1. [1.1] SERA, Y. – NAKASHIMA, D. – HATA, J. – OKANO, H.J. – SATO, K. – NAKAMURA, M. – NAGURA, T. Possibility for Visualizing the Muscle Microstructure by q-Space Imaging Technique. In APPLIED BIONICS AND BIOMECHANICS. ISSN 1176-2322, AUG 8 2022, vol. 2022. https://doi.org/10.1155/2022/7929589; WOS

 

• JURÁŠ, Vladimír – SCHREINER, M. – LAURENT, D. – ZBÝŇ, Š. – MLYNÁRIK, V. – SZOMOLÁNYI, Pavol – HAGER, B. – SCOTII, C. – GOLDHAHN, J. – HEULE, R. – BIERI, O. – TRATTNIG, S. The comparison of the performance of 3 T and 7 T T2 mapping for untreated low-grade cartilage lesions. In Magnetic Resonance Imaging, 2019, vol. 55, p. 86-92. (2018: 2.112 – IF, Q3 – JCR, 0.977 – SJR, Q1 – SJR). (2019 – Current Contents). ISSN 0730-725X. https://doi.org/10.1016/j.mri.2018.09.021

WOS citations: 2; SCOPUS citations: 2; other citations: 1

1. [1.1] LIU, L.L. – LIU, H.A. – ZHEN, Z.M. – ZHENG, Y.L. – ZHOU, X.Y. – RAITHEL, E. – DU, J. – HU, Y. – CHEN, W. – HU, X.F. Analysis of Knee Joint Injury Caused by Physical Training of Freshmen Students Based on 3T MRI and Automatic Cartilage Segmentation Technology: A Prospective Study. In FRONTIERS IN ENDOCRINOLOGY. ISSN 1664-2392, MAY 9 2022, vol. 13. https://doi.org/10.3389/fendo.2022.839112; WOS

2. [1.1] SEGINER, A. – SCHMIDT, R. Phase-based fast 3D high-resolution quantitative T-2 MRI in 7 T human brain imaging. In SCIENTIFIC REPORTS. ISSN 2045-2322, AUG 18 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-17607-z; WOS

3. [1.2] FERNANDES, T.L. – DE SANTANNA, J.P.C. – FIORIO, B.A.P. – DE FARIA, R.R. – PEDRINELLI, A. – BORDALO, M. State of the art for articular cartilage morphological and composition imaging evaluation in football players. In JOURNAL OF CARTILAGE AND JOINT PRESERVATION, 2022, vol. 2, no. 2. https://doi.org/10.1016/j.jcjp.2022.100067; SCOPUS

4. [1.2] HAMSHARY, F.A.S. – LATIF, M.J.A. – ZAKARIA, M.S. – HARUN, M.N. – MAHMUD, J. – NGUYEN, H.Q. Effect of Water Content on Correlation of Biomechanical Properties and Grayscale of Articular Cartilage Using Low-Field MRI. In INTERNATIONAL JOURNAL OF NANOELECTRONICS AND MATERIALS, 2022, vol. 15, p. 259-269. ISSN 1985-5761; SCOPUS

5. [3.1] ZHENG, Z. – WU, X. – ZHANG, Y. – ZHAO, G. – WEI, H. – WAN, L. – ZHAO, G. – HU, W. – FANG, W. Biochemical cartilage alteration in T2 mapping in knee joints of amateur marathon runners before and after competition. In RESEARCH SQUARE, 2022, https://doi.org/10.21203/rs.3.rs-1470249/v1.

 

• JURÁŠ, Vladimír – APPRICH, S. – ZBÝŇ, Š. – ZAK, L. – DELIGIANNI, X. – SZOMOLÁNYI, Pavol – BIERI, O. – TRATTNIG, S. Quantitative MRI analysis of menisci using biexponential T2* fitting with a variable echo time sequence. In Magnetic Resonance in Medicine, 2014, vol. 71, no. 3, p. 1015-1023. (2013: 3.398 – IF, Q1 – JCR, 1.959 – SJR, Q1 – SJR). (2014 – Current Contents). ISSN 0740-3194. https://doi.org/10.1002/mrm.24760

WOS citations: 2; other citations: 1

1. [1.1] TSAI, P.H. – WONG, C.C. – CHAN, W.P. Radial T2*mapping reveals early meniscal abnormalities in patients with knee osteoarthritis. In EUROPEAN RADIOLOGY. ISSN 0938-7994, AUG 2022, vol. 32, no. 8, p. 5642-5649. https://doi.org/10.1007/s00330-022-08641-6; WOS

2. [1.1] WANG, N.A. – WEN, Q.T. – MAHARJAN, S. – MIRANDO, A.J. – QI, Y. – HILTON, M.J. – SPRITZER, C.E. Magic angle effect on diffusion tensor imaging in ligament and brain. In MAGNETIC RESONANCE IMAGING. ISSN 0730-725X, OCT 2022, vol. 92, p. 243-250. https://doi.org/10.1016/j.mri.2022.06.008; WOS

3. [3.1] MACKOWIAK, A. – ROY, C. – YERLY, J. – FALCAO, M. – BACHER, M. – SPEIER, P. – PICCINI, D. – STUBER, M. – BASTIAANSEN, J. Motion-resolved fat-fraction mapping with whole-heart free-running multiecho gre and pilot tone. In ArXiv, 2022, https://doi.org/10.48550/arXiv.2210.06127

 

• JURÁŠ, Vladimír – BITTŠANSKÝ, M. – MAJDIŠOVÁ, Zuzana – SZOMOLÁNYI, Pavol – SULZBACHER, I. – GÄBLER, S. – STAMPFL, J. – SCHÜLLER, G.C. – TRATTNIG, S. In vitro determination of biomechanical properties of human articular cartilage in osteoarthritis using multi-parametric MRI. In Journal of Magnetic Resonance, 2009, vol. 197, p. 40-47. (2008: 2.438 – IF, Q2 – JCR, 1.520 – SJR, Q1 – SJR). (2009 – Current Contents). ISSN 1090-7807. https://doi.org/10.1016/j.jmr.2008.11.019

WOS citations: 2; SCOPUS citations: 1

1. [1.1] LUO, P. – HU, W. – JIANG, L. – CHANG, S. – WU, D. – LI, G. – DAI, Y. Evaluation of articular cartilage in knee osteoarthritis using hybrid multidimensional MRI. In CLINICAL RADIOLOGY. ISSN 0009-9260, JUL 2022, vol. 77, no. 7, p. E518-E525. https://doi.org/10.1016/j.crad.2022.03.002; WOS

2. [1.1] PERERA-GONZALEZ, M. – MA, K.Y. – FLASK, C.A. – CLARK, H.A. In vitro Testbed Platform for Evaluating Small Volume Contrast Agents via Magnetic Resonance Imaging. In 2022 25TH EUROMICRO CONFERENCE ON DIGITAL SYSTEM DESIGN (DSD). ISSN 1089-6503, 2022, p. 572-576. https://doi.org/10.1109/DSD57027.2022.00082; WOS

3. [1.2] LI, X. – WINALSKI, C.S. – LINK, T.M. MRI Relaxometry as Early Measures of OA. In EARLY OSTEOARTHRITIS. Springer, 2022, 27-37. https://doi.org/10.1007/978-3-030-79485-9_3; SCOPUS

 

• KHUNOVÁ, V. – PAVLIŇÁK, D. – ŠAFAŘÍK, I. – ŠKRÁTEK, Martin – ONDREÁŠ, F. Multifunctional electrospun nanofibers based on biopolymer blends and magnetic tubular halloysite for medical applications. In Polymers, 2021, vol. 13, no. 22, p. 3870. (2020: 4.329 – IF, Q1 – JCR, 0.770 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 2073-4360. https://doi.org/10.3390/polym13223870

WOS citations: 1

1. [1.1] ZHOU, W. – WANG, X. – LIU, Y.P. – ZHANG, W.K. – DI, X. Synthesis of polydopamine coated magnetic halloysite nanotubes for fast enrichment and extraction of anthraquinones in brewed slimming tea. In MICROCHEMICAL JOURNAL. ISSN 0026-265X, OCT 2022, vol. 181. https://doi.org/10.1016/j.microc.2022.107646; WOS

 

• KHUNOVÁ, V. – ŠAFAŘÍK, I. – ŠKRÁTEK, Martin – KELNAR, I. – TOMANOVÁ, K. Biodegradable polymer nanocomposites based on natural nanotubes: Effect of magnetically modified halloysite on the behaviour of polycaprolactone. In Clay Minerals, 2016, vol. 51, no. 3, p. 435-444. (2015: 0.874 – IF, Q3 – JCR, 0.379 – SJR, Q3 – SJR). (2016 – Current Contents). ISSN 0009-8558. https://doi.org/10.1180/claymin.2016.051.3.05

WOS citations: 1

1. [1.1] FIZIR, M. – LIU, W. – TANG, X. – WANG, F.Q. – BENMOKADEM, Y. Design Approaches, Functionalization, and Environmental and Analytical Applications of Magnetic Halloysite Nanotubes: A Review. In CLAYS AND CLAY MINERALS. ISSN 0009-8604, OCT 2022, vol. 70, no. 5, p. 660-694. https://doi.org/10.1007/s42860-022-00210-8; WOS

 

• KLEMBARA, J. – HAIN, Miroslav – RUTA, M. – BERMAN, D.S. – PIERCE, S.E. – HENRICI, A.C. Inner ear morphology of diadectomorphs and seymouriamorphs (Tetrapoda) uncovered by high‐resolution x‐ray microcomputed tomography, and the origin of the amniote crown group. In Palaeontology, 2020, vol. 36, no. 1, p. 131-154. (2019: 3.060 – IF, Q1 – JCR, 1.642 – SJR, Q1 – SJR). (2020 – Current Contents). ISSN 0031-0239. https://doi.org/10.1111/pala.12448

WOS citations: 2; other citations: 1

1. [1.1] ABEL, P. – POMMERY, Y. – FORD, D.P. – KOYABU, D. – WERNEBURG, I. Skull Sutures and Cranial Mechanics in the Permian Reptile Captorhinus aguti and the Evolution of the Temporal Region in Early Amniotes. In FRONTIERS IN ECOLOGY AND EVOLUTION. ISSN 2296-701X, MAY 18 2022, vol. 10. https://doi.org/10.3389/fevo.2022.841784; WOS

2. [1.1] BAZZANA, K.D. – EVANS, D.C. – BEVITT, J.J. – REISZ, R.R. Neurosensory anatomy of Varanopidae and its implications for early synapsid evolution. In JOURNAL OF ANATOMY. ISSN 0021-8782, MAY 2022, vol. 240, no. 5, p. 833-849. https://doi.org/10.1111/joa.13593; WOS

3. [3.1] SOBRAL, G. The Paleoneurology of Early Reptiles. In PALEONEUROLOGY OF AMNIOTES. Springer, 2022, p. 9-27. htps://doi.org/10.1007/978-3-031-13983-3_2

 

• KLEMBARA, J. – HAIN, Miroslav – ČERŇANSKÝ, A. – BERMAN, D.S. – HENRICI, A.C. Anatomy of the neural endocranium, parasphenoid and stapes of Diadectes absitus (Diadectomorpha) from the early Permian of Germany based on the high‐resolution X‐ray microcomputed tomography. In The Anatomical Record : Advances in Integrative Anatomy and Evolutionary Biology, 2020, vol. 303, no. 12, p. 2977-2999. (2019: 1.634 – IF, Q3 – JCR, 0.538 – SJR, Q2 – SJR). (2020 – Current Contents). ISSN 1932-8486. https://doi.org/10.1002/ar.24376

WOS citations: 1; other citations: 1

1. [1.1] GAI, Z.K. – ZHU, M. – AHLBERG, P.E. – DONOGHUE, P.C.J. The Evolution of the Spiracular Region From Jawless Fishes to Tetrapods. In FRONTIERS IN ECOLOGY AND EVOLUTION. ISSN 2296-701X, MAY 19 2022, vol. 10. https://doi.org/10.3389/fevo.2022.887172; WOS

2. [3.1] SOBRAL, G. The Paleoneurology of Early Reptiles. In PALEONEUROLOGY OF AMNIOTES. Springer, 2022, p. 9-27. htps://doi.org/10.1007/978-3-031-13983-3_2

 

• KLEMBARA, J. – HAIN, Miroslav – DOBIAŠOVÁ, K. Comparative anatomy of the lower jaw and dentition of Pseudopus apodus and the interrelationships of species of subfamily Anguinae (Anguimorpha, Anguidae). In The Anatomical Record : Advances in Integrative Anatomy and Evolutionary Biology, 2014, vol. 297, no. 3, p. 516-544. (2013: 1.530 – IF, Q2 – JCR, 0.752 – SJR, Q2 – SJR). (2014 – Current Contents). ISSN 1932-8486. https://doi.org/10.1002/ar.22854

WOS citations: 4; other citations: 2

1. [1.1] PEREZ-MARTIN, S. – FORTUNY, J. – CRUZADO-CABALLERO, P. – BERNARDINI, F. – RUIZ, C.C. In the jaws of a titan: 3D comparative anatomy of the mandibles of the Canary giant lizards (Gallotiinae: Gallotia). In HISTORICAL BIOLOGY. ISSN 0891-2963, 2022. https://doi.org/10.1080/08912963.2022.2077107; WOS

2. [1.1] SYROMYATNIKOVA, E. – ARANDA, E. A record of galliwasp (Diploglossidae: Diploglossus) from the Pleistocene of Cuba. In HISTORICAL BIOLOGY. ISSN 0891-2963, 2022. https://doi.org/10.1080/08912963.2022.2077108; WOS

3. [1.1] VASILYAN, D. – CERNANSKY, A. – SZYNDLAR, Z. – MORS, T. Amphibian and reptilian fauna from the early Miocene of Echzell Germany. In FOSSIL RECORD. MAY 10 2022, vol. 25, no. 1, p. 99-145. https://doi.org/10.3897/fr.25.83781; WOS

4. [1.1] WHITESIDE, D.I. – CHAMBI-TROWELL, S.A.V. – BENTON, M.J. A Triassic crown squamate. In SCIENCE ADVANCES. ISSN 2375-2548, DEC 2 2022, vol. 8, no. 48. https://doi.org/10.1126/sciadv.abq8274; WOS

5. [3.1] ALTMANOVÁ, M. – DOLEŽÁLKOVÁ-KAŠTÁNKOVÁ, M. – JABLONSKI, D. – STRACHINIS, I. – VERGILOV, V. – VACHEVA, E. – RÁB, P. – MORAVEC, J. – GVOŽDÍK, V. Karyotype stasis but species-specific repetitive DNA patterns in Anguis lizards (Anguidae), in the evolutionary framework of Anguiformes. In RESEARCH SQUARE, 2022. https://doi.org/10.21203/rs.3.rs-2413537/v1.

6. [3.1] GEORGALIS, G.L. – DELFINO, M. The Fossil Record of Lizards and Snakes (Reptilia: Squamata) in Greece. In FOSSIL VERTEBRATES OF GREECE VOL. 1, Springer, 2022, p. 205-235. https://doi.org/10.1007/978-3-030-68398-6_7

 

• KLEMBARA, J. – HAIN, Miroslav – ČERŇANSKÝ, A. The first record of anguine lizards (Anguimorpha, Anguidae) from the early Miocene locality Ulm – Westtangente in Germany. In Historical Biology, 2019, vol. 31, no. 8, p. 1016-1027. (2018: 1.489 – IF, Q2 – JCR, 0.569 – SJR, Q2 – SJR). (2019 – Current Contents). ISSN 0891-2963. https://doi.org/10.1080/08912963.2017.1416469

WOS citations: 3; SCOPUS citations: 1

1. [1.1] AUGE, M.L. – FOLIE, A. – SMITH, R. – PHELIZON, A. – GIGASE, P. – SMITH, T. Revision of the oldest varanid, Saniwa orsmaelensis Dollo, 1923, from the earliest Eocene of northwest Europe. In COMPTES RENDUS PALEVOL. ISSN 1631-0683, AUG 2 2022, vol. 21, no. 25, p. 511-529. https://doi.org/10.5852/cr-palevol2022v21a25; WOS

2. [1.1] VILLA, A. – REICHENBACHER, B. Reinterpretation of girdled lizard remains from Switzerland documents the first occurrence of the lacertid Janosikia outside of Germany. In PALZ. ISSN 0031-0220, MAR 2022, vol. 96, no. 1, p. 129-134. https://doi.org/10.1007/s12542-021-00570-x; WOS

3. [1.1] VILLA, A. – WINGS, O. – RABI, M. A new gecko (Squamata, Gekkota) from the Eocene of Geiseltal (Germany) implies long-term persistence of European Sphaerodactylidae. In PAPERS IN PALAEONTOLOGY. ISSN 2056-2799, MAY 2022, vol. 8, no. 3. https://doi.org/10.1002/spp2.1434; WOS

4. [1.2] PACLÍK, V. – IVANOV, M. Squamates from the early Miocene (Aquitanian) of Weißenburg 6 (Bavaria, Germany). In ACTA MUSEI MORAVIAE, SCIENTIAE GEOLOGICAE, 2022, vol. 107, no. 1, p. 73-89. ISSN 1211-8796; SCOPUS

 

• KLEMBARA, J. – DOBIAŠOVÁ, K. – HAIN, Miroslav – YARYHIN, O. Skull anatomy and ontogeny of legless lizard Pseudopus apodus (Pallas, 1775): Heterochronic influences on form. In The Anatomical Record : Advances in Integrative Anatomy and Evolutionary Biology, 2017, vol. 300, no. 3, p. 460-502. (2016: 1.431 – IF, Q2 – JCR, 0.727 – SJR, Q2 – SJR). (2017 – Current Contents). ISSN 1932-8486. https://doi.org/10.1002/ar.23532

WOS citations: 4

1. [1.1] AUGE, M.L. – FOLIE, A. – SMITH, R. – PHELIZON, A. – GIGASE, P. – SMITH, T. Revision of the oldest varanid, Saniwa orsmaelensis Dollo, 1923, from the earliest Eocene of northwest Europe. In COMPTES RENDUS PALEVOL. ISSN 1631-0683, AUG 2 2022, vol. 21, no. 25, p. 511-529. https://doi.org/10.5852/cr-palevol2022v21a25; WOS

2. [1.1] BROWNSTEIN, C.D. – MEYER, D.L. – FABBRI, M. – BHULLAR, B.A.S. – GAUTHIER, J.A. Evolutionary origins of the prolonged extant squamate radiation. In NATURE COMMUNICATIONS. NOV 29 2022, vol. 13, no. 1. https://doi.org/10.1038/s41467-022-34217-5; WOS

3. [1.1] GEORGALIS, G.L. – SCHEYER, T.M. Crushed but not lost: a colubriform snake (Serpentes) from the Miocene Swiss Molasse, identified through the use of micro-CT scanning technology. In SWISS JOURNAL OF GEOSCIENCES. ISSN 1661-8726, DEC 2022, vol. 115, no. 1. https://doi.org/10.1186/s00015-022-00417-w; WOS

4. [1.1] VASILYAN, D. – CERNANSKY, A. – SZYNDLAR, Z. – MORS, T. Amphibian and reptilian fauna from the early Miocene of Echzell Germany. In FOSSIL RECORD. MAY 10 2022, vol. 25, no. 1, p. 99-145. https://doi.org/10.3897/fr.25.83781; WOS

 

• KÖNING, R. – WIMMER, G. – WITKOVSKÝ, Viktor. The statistical uncertainty of the Heydemann correction: A practical limit of optical quadrature homodyne  interferometry. In Measurement Science and Technology, 2015, vol. 26, no. 8, p. 084004. (2014: 1.433 – IF, Q2 – JCR, 0.704 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 0957-0233. https://doi.org/10.1088/0957-0233/26/8/084004

WOS citations: 3

1. [1.1] ALCOCK, S.G. – YACOOT, A. – INCE, R. – PATEL, H. Generating and measuring pico-radian angles. In METROLOGIA. ISSN 0026-1394, DEC 1 2022, vol. 59, no. 6. https://doi.org/10.1088/1681-7575/ac9736; WOS

2. [1.1] FU, H.J. – XIONG, X.K. – WANG, Z. – HU, P.C. – WANG, K. – TAN, J.B. Homodyne laser vibrometer modified by an LCVR for measurement at the nanometer level. In APPLIED OPTICS. ISSN 1559-128X, JAN 20 2022, vol. 61, no. 3, p. 775-782; WOS

3. [1.1] XIA, Y.Z. – ZHANG, M. – ZHU, Y. – YE, W.N. Displacement calculation method for homodyne interferometers based on spatial phase delay of beams. In OPTICAL ENGINEERING. ISSN 0091-3286, JAN 1 2022, vol. 61, no. 1; WOS

 

• KÖNING, R. – WIMMER, G. – WITKOVSKÝ, Viktor. Ellipse fitting by nonlinear constraints to demodulate quadrature homodyne interferometer signals and to determine the statistical uncertainty of the interferometric phase. In Measurement Science and Technology, 2014, vol. 25, no. 11, p. 115001. (2013: 1.352 – IF, Q2 – JCR, 0.555 – SJR, Q1 – SJR). (2014 – Current Contents). ISSN 0957-0233. https://doi.org/10.1088/0957-0233/25/11/115001

WOS citations: 5

1. [1.1] AZAM, M.S. – MALIK, A.H. – IRSHAD, A. – IQBAL, M. – AHMAD, I. Elastic Parameter Measurement by Comparison of Modal Analysis Using ANSYS Workbench and Pulsed Laser Impulse Excited Frequency Response of Fully Clamped Thin Square Soda Lime Glass. In JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES. ISSN 2523-3920, 2022. https://doi.org/10.1007/s42417-022-00628-3; WOS

2. [1.1] BRIDGES, A. – YACOOT, A. – KISSINGER, T. – TATAM, R.P. Multiple intensity reference interferometry for the correction of sub-fringe displacement non-linearities. In MEASUREMENT SCIENCE AND TECHNOLOGY. ISSN 0957-0233, FEB 2022, vol. 33, no. 2. https://doi.org/10.1088/1361-6501/ac3aad; WOS

3. [1.1] FU, H.J. – XIONG, X.K. – WANG, Z. – HU, P.C. – WANG, K. – TAN, J.B. Homodyne laser vibrometer modified by an LCVR for measurement at the nanometer level. In APPLIED OPTICS. ISSN 1559-128X, JAN 20 2022, vol. 61, no. 3, p. 775-782. https://doi.org/10.1364/AO.446469; WOS

4. [1.1] LU, C. – XU, Z.Y. – LIU, G.D. – LIU, B.G. – CHEN, F.D. – GAN, Y. – LU, B.H. Dynamic nonlinearity errors in laser Doppler vibrometer measurements induced by environmental vibration and error correction. In OPTICS EXPRESS. ISSN 1094-4087, AUG 15 2022, vol. 30, no. 17, p. 30705-30717. https://doi.org/10.1364/OE.463470; WOS

5. [1.1] WEN, T.R. – HU, J.C. – ZHU, Y. – HUA, G.J. – XU, D.F. – ZHANG, M. A Signal Processing Method for Homodyne Laser Interferometer Based on Model Parameter Self-Calibration With Redundant Information. In IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. ISSN 0018-9456, 2022, vol. 71. https://doi.org/10.1109/TIM.2022.3196443; WOS

 

• KORALEWSKI, M. – BALEJČÍKOVÁ, Lucia – MITRÓOVÁ, Z. – POCHYLSKI, M. – BARANOWSKI, M. – KOPČANSKÝ, P. Morphology and Magnetic Structure of the Ferritin Core during Iron Loading and Release by Magnetooptical and NMR Methods. In ACS Applied Materials & Interfaces, 2018, vol. 10, no. 9, p. 7777-7787. (2017: 8.097 – IF, Q1 – JCR, 2.784 – SJR, Q1 – SJR). (2018 – Current Contents). ISSN 1944-8244. https://doi.org/10.1021/acsami.7b18304

WOS citations: 4

1. [1.1] GUPTA, N.K. – OKAMOTO, N. – KARUPPANNAN, S.K. – PASULA, R.R. – ZIYU, Z. – QI, D.C. – LIM, S. – NAKAMURA, M. – NIJHUIS, C.A. The Role of Structural Order in the Mechanism of Charge Transport across Tunnel Junctions with Various Iron-Storing Proteins. In SMALL. ISSN 1613-6810, OCT 2022, vol. 18, no. 42. https://doi.org/10.1002/smll.202203338; WOS

2. [1.1] KUWATA, T. – SATO, D. – YANAGIDA, Y. – AOKI, E. – FUJIWARA, K. – YOSHIMURA, H. – IKEGUCHI, M. Morphological difference of Escherichia coli non-heme ferritin iron cores reconstituted in the presence and absence of inorganic phosphate. In JOURNAL OF BIOLOGICAL INORGANIC CHEMISTRY. ISSN 0949-8257, SEP 2022, vol. 27, no. 6, p. 583-594. https://doi.org/10.1007/s00775-022-01952-5; WOS

3. [1.1] LI, Z.K. – JIANG, W.Y. – CHU, H.Q. – GE, J.H. – WANG, X.Y. – JIANG, J.J. – XIAO, Q.Q. – MENG, Q.H. – HAO, W.D. – WEI, X.T. Exploration of potential mechanism of interleukin-33 up-regulation caused by 1,4-naphthoquinone black carbon in RAW264.7 cells. In SCIENCE OF THE TOTAL ENVIRONMENT. ISSN 0048-9697, AUG 20 2022, vol. 835. https://doi.org/10.1016/j.scitotenv.2022.155357; WOS

4. [1.1] XIAO, T.Y. – LI, D.F. – TANG, H. – LIAO, Y.J. – ZOU, J. – LI, Y.G. Sequence, Expression, and Anti-GCRV Function of the Ferritin from the Grass Carp, Ctenopharyngodon idellus. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. JUN 2022, vol. 23, no. 12. https://doi.org/10.3390/ijms23126835; WOS

 

• KOVÁČ, P. – HUŠEK, I. – HAIN, Miroslav – KOPERA, Ľ. – MELIŠEK, T. – BEREK, D. Longitudinal uniformity of MgB2 wires made by an internal magnesium diffusion process. In Superconductor Science and Technology, 2021, vol. 34, art. no. 095007. (2020: 3.219 – IF, Q2 – JCR, 1.033 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 0953-2048. https://doi.org/10.1088/1361-6668/ac191b

WOS citations: 1

1. [1.1] YETIS, H. – AVCI, D. – KARABOGA, F. – AKSOY, C. – GAJDA, D. – MARTINEZ, E. – TANYILDIZI, F. – ZALESKI, A. – BABIJ, M. – TRAN, L. – ANGUREL, L. – DE LA FUENTE, G. – BELENLI, I. Transport and structural properties of MgB2/Fe wires produced by redesigning internal Mg diffusion process. In SUPERCONDUCTOR SCIENCE & TECHNOLOGY. APR 2022, vol. 35, no. 4. https://doi.org/ 10.1088/1361-6668/ac5339; WOS

 

• KOVÁČ, P. – KOPERA, Ľ. – KOVÁČ, J. – HAIN, Miroslav – MELIŠEK, T. – KULICH, M. – HUŠEK, I. Rutherford cable made of internal magnesium diffusion MgB2 wires sheathed with Al-Al2O3 particulate metal matrix composite. In Superconductor Science and Technology, 2018, vol. 31, no. 015015. (2017: 2.861 – IF, Q2 – JCR, 1.036 – SJR, Q1 – SJR). (2018 – Current Contents). ISSN 0953-2048. https://doi.org/10.1088/1361-6668/aa9539

SCOPUS citations: 1

1. [1.2] GUAN, Dandan – WANG, Dongliang – MA, Yanwei. Progress of Research on Properties and Applications of MgBinf2/inf Fabricated by Internal Mg Diffusion Method. In Xiyou Jinshu/Chinese Journal of Rare Metals, 2022-04-01, 46, 4, pp. 497-509. ISSN 02587076. https://doi.org/10.13373/j.cnki.cjrm.XY20040031; SCOPUS

 

• KOVÁČ, P. – KOPERA, Ľ. – HAIN, Miroslav – MARTINEZ, E. – KOVÁČ, J. – MELIŠEK, T. – BEREK, D. – HUŠEK, I. MgB2 cables made of thin wires manufactured by IMD process. In Superconductor Science and Technology, 2020, vol. 33, no. 8, no. 085004. (2019: 3.067 – IF, Q2 – JCR, 0.991 – SJR, Q1 – SJR). (2020 – Current Contents). ISSN 0953-2048. https://doi.org/10.1088/1361-6668/ab9520

WOS citations: 2

1. [1.1] YAGAI, T. – TAKAHASHI, M. – INOMATA, R. – TAKAO, T. – ONJI, T. – KOMAGOME, T. – MAKIDA, Y. – SHINTOMI, T. – HIRANO, N. – HAMAJIMA, T. – KIKUCHI, A. – NISHIJIMA, G. – MATSUMOTO, A. Demonstration of kA-Class Rutherford Cables Using MgB2 Wires for an Energy Storage Device Suitable for a Liquid Hydrogen Indirect Cooling. In IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY. ISSN 1051-8223, SEP 2022, vol. 32, no. 6. https://doi.org/10.1109/TASC.2022.3154339; WOS

2. [1.1] YETIS, H. – AVCI, D. – KARABOGA, F. – AKSOY, C. – GAJDA, D. – MARTINEZ, E. – TANYILDIZI, F.M. – ZALESKI, A. – BABIJ, M. – TRAN, L.M. – ANGUREL, L.A. – DE LA FUENTE, G.F. – BELENLI, I. Transport and structural properties of MgB2/Fe wires produced by redesigning internal Mg diffusion process. In SUPERCONDUCTOR SCIENCE & TECHNOLOGY. ISSN 0953-2048, APR 1 2022, vol. 35, no. 4. https://doi.org/10.1088/1361-6668/ac5339; WOS

 

• KRAFČÍK, Andrej – BABINEC, P. – FROLLO, Ivan. Computational analysis of magnetic field induced deposition of magnetic particles in lung alveolus in comparison to deposition produced with viscous drag and gravitational force. In Journal of Magnetism and Magnetic Materials, 2015, vol. 380, p. 46-53. (2014: 1.970 – IF, Q2 – JCR, 0.815 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 0304-8853. https://doi.org/10.1016/j.jmmm.2014.10.018

WOS citations: 3

1. [1.1] FOROUZANDEHMEHR, M. – GHOYTASI, I. – SHAMLOO, A. – GHOSI, S. Particles in coronary circulation: A review on modelling for drug carrier design. In MATERIALS & DESIGN. ISSN 0264-1275, APR 2022, vol. 216. https://doi.org/10.1016/j.matdes.2022.110511; WOS

2. [1.1] SHAMLOO, A. – EBRAHIMI, S. – GHORBANI, G. – ALISHIRI, M. Targeted drug delivery of magnetic microbubble for abdominal aortic aneurysm: an in silico study. In BIOMECHANICS AND MODELING IN MECHANOBIOLOGY. ISSN 1617-7959, APR 2022, vol. 21, no. 2, p. 735-753. https://doi.org/10.1007/s10237-022-01559-4; WOS

3. [1.1] XU, Z.Q. – CHEN, F. – BO, X.Q. – TANG, Z.F. – JIANG, S.Q. Numerical simulation of effectively driving the trajectory of magnetic particles in a Newtonian fluid using a uniform magnetic field. In JOURNAL OF PHYSICS D-APPLIED PHYSICS. ISSN 0022-3727, OCT 13 2022, vol. 55, no. 41. https://doi.org/10.1088/1361-6463/ac868a; WOS

 

• KRAFČÍK, Andrej – BABINEC, P. – BABINCOVA, M. – FROLLO, Ivan. High gradient magnetic separation with involved Basset history force: Configuration with single axial wire. In Powder Technology, 2019, vol. 347, p. 50–58. (2018: 3.413 – IF, Q1 – JCR, 0.968 – SJR, Q1 – SJR). (2019 – Current Contents). ISSN 0032-5910. https://doi.org/10.1016/j.powtec.2019.02.044

WOS citations: 3

1. [1.1] MAGHSOUDALI, Y. – SAHAMI, M. – JAMAATI, J. Modeling the multi-stage magnetic filtration in various 3D channels with different configurations of rods. In JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING. ISSN 1678-5878, SEP 2022, vol. 44, no. 9. https://doi.org/10.1007/s40430-022-03715-4; WOS

2. [1.1] ZHANG, W. An Analysis of the Formation Mechanisms of Abrasive Particles and Their Effects on Cutting Efficiency. In FDMP-FLUID DYNAMICS & MATERIALS PROCESSING. ISSN 1555-256X, 2022, vol. 18, no. 4, p. 1153-1167. https://doi.org/10.32604/fdmp.2022.019719; WOS

3. [1.1] ZHENG, X.Y. – JING, Z.H. – SUN, Z.X. – DU, L. – XUE, Z.X. – LU, D.F. – YASI, G. – WANG, Y.H. Significantly Improved Separation Efficiency of Refractory Weakly Magnetic Minerals by Pulsating High-Gradient Magnetic Separation Coupling with Magnetic Fluid. In ACS SUSTAINABLE CHEMISTRY & ENGINEERING. ISSN 2168-0485, AUG 8 2022, vol. 10, no. 31. https://doi.org/10.1021/acssuschemeng.2c00584; WOS

 

• KRAFČÍK, Andrej – BABINEC, P. – STRBAK, O. – FROLLO, Ivan. A theoretical analysis of magnetic particle alignment in external magnetic fields affected by viscosity and brownian motion. In Applied Sciences-Basel, 2021, vol. 11, no. 20, p. 9651. (2020: 2.679 – IF, Q2 – JCR, 0.435 – SJR, Q2 – SJR). (2021 – Current Contents). ISSN 2076-3417. https://doi.org/10.3390/app11209651

WOS citations: 1

1. [1.1] AIGBE, U.O. – UKHUREBOR, K.E. – ONYANCHA, R.B. – OSIBOTE, O.A. – KUSUMA, H.S. – DARMOKOESOEMO, H. Measuring the velocity profile of spinning particles and its impact on Cr (VI) sequestration. In CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION. ISSN 0255-2701, AUG 2022, vol. 178. https://doi.org/10.1016/j.cep.2022.109013; WOS

 

• KRAKOVSKÁ, Anna. Correlation dimension detects causal links in coupled dynamical systems. In Entropy, 2019, vol. 21, no. 9, art. no. 818. (2018: 2.419 – IF, Q2 – JCR, 0.524 – SJR, Q2 – SJR). (2019 – Current Contents). ISSN 1099-4300. https://doi.org/10.3390/e21090818

WOS citations: 1

1. [1.1] BENKO, Z. – STIPPINGER, M. – REHUS, R. – BENCZE, A. – FABÓ, D. – HAJNAL, B. – EROSS, L. – TELCS, A. – SOMOGYVÁRIARI, Z. Manifold-adaptive dimension estimation revisited. In PEERJ COMPUTER SCIENCE. ISSN 2376-5992, 2022, vol. 8. https://doi.org/10.7717/peerj-cs.790; WOS

 

• KRAKOVSKÁ, Anna – HANZELY, Filip. Testing for causality in reconstructed state spaces by an optimized mixed prediction method. In Physical Review E, 2016, vol. 94, no. 5, p. 052203. (2015: 2.252 – IF, Q1 – JCR, 1.183 – SJR, Q1 – SJR). (2016 – Current Contents, WOS, SCOPUS). ISSN 2470-0045. https://doi.org/10.1103/PhysRevE.94.052203

WOS citations: 2

1. [1.1] KATHPALIA, A. – MANSHOUR, P. – PALUS, M. Compression complexity with ordinal patterns for robust causal inference in irregularly sampled time series. In SCIENTIFIC REPORTS. ISSN 2045-2322, AUG 19 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-18288-4; WOS

2. [1.1] WANG, M.Z. – FU, Z.T. A new method of nonlinear causality detection: Reservoir computing Granger causality. In CHAOS SOLITONS & FRACTALS. ISSN 0960-0779, JAN 2022, vol. 154. https://doi.org/10.1016/j.chaos.2021.111675; WOS

 

• KRAKOVSKÁ, Anna – JAKUBÍK, Jozef – CHVOSTEKOVÁ, Martina – COUFAL, D. – JAJCAY, N. – PALUŠ, M. Comparison of six methods for the detection of causality in a bivariate time series. In Physical Review E, 2018, vol. 97, art. no. 042207. (2017: 2.284 – IF, Q1 – JCR, 0.979 – SJR, Q1 – SJR). (2018 – Current Contents). ISSN 2470-0045. https://doi.org/10.1103/PhysRevE.97.042207

WOS citations: 6; SCOPUS citations: 1; other citations: 2

1. [1.1] BOULMAIZ, F. – REIGNIER, P. – PLOIX, S. An occupant-centered approach to improve both his comfort and the energy efficiency of the building. In KNOWLEDGE-BASED SYSTEMS. ISSN 0950-7051, AUG 5 2022, vol. 249. https://doi.org/10.1016/j.knosys.2022.108970; WOS

2. [1.1] DOCQUIER, D. – VANNITSEM, S. – RAGONE, F. – WYSER, K. – LIANG, X.S. Causal Links Between Arctic Sea Ice and Its Potential Drivers Based on the Rate of Information Transfer. In GEOPHYSICAL RESEARCH LETTERS. ISSN 0094-8276, MAY 16 2022, vol. 49, no. 9. https://doi.org/10.1029/2021GL095892; WOS

3. [1.1] KIWATA, H. Relationship between Schreiber’;s transfer entropy and Liang-Kleeman information flow from the perspective of stochastic thermodynamics. In PHYSICAL REVIEW E. ISSN 2470-0045, APR 21 2022, vol. 105, no. 4. https://doi.org/10.1103/PhysRevE.105.044130; WOS

4. [1.1] MURARI, A. – ROSSI, R. – GELFUSA, M. Combining neural computation and genetic programming for observational causality detection and causal modelling. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, 2022. https://doi.org/10.1007/s10462-022-10320-3; WOS

5. [1.1] SILINI, R. – TIRABASSI, G. – BARREIRO, M. – FERRANTI, L. – MASOLLER, C. Assessing causal dependencies in climatic indices. In CLIMATE DYNAMICS. ISSN 0930-7575, 2022. https://doi.org/10.1007/s00382-022-06562-0; WOS

6. [1.1] WANG, M.Z. – FU, Z.T. A new method of nonlinear causality detection: Reservoir computing Granger causality. In CHAOS SOLITONS & FRACTALS. ISSN 0960-0779, JAN 2022, vol. 154. https://doi.org/10.1016/j.chaos.2021.111675; WOS

7. [1.2] SUN, S.C. – JIN, B. – WEI, Z. – GUO, W. Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process. In IJCAI INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE. ISSN 1045-0823, 2022, p. 5171-5177. https://doi.org/10.24963/ijcai.2022/718; SCOPUS

8. [3.1] DATSERIS, G. – PARLITZ, U. Nonlinear Dynamics: A Concise Introduction Interlaced with Code. Springer, ISBN 978-3-030-91031-0, 2022. https://doi.org/10.1007/978-3-030-91032-7

9. [3.1] WULKOW, N. Measuring dependencies between variables of a dynamical system using fuzzy affiliations. In arXiv, 2022. https://doi.org/10.48550/arXiv.2203.05993

 

• KRAKOVSKÁ, Anna – MEZEIOVÁ, Kristína. Automatic sleep scoring: A search for an optimal combination of measures. In Artificial Intelligence in Medicine, 2011, vol. 53, no. 1, p. 25-33. (2010: 1.568 – IF, Q2 – JCR, 0.619 – SJR, Q2 – SJR). (2011 – Current Contents). ISSN 0933-3657. https://doi.org/10.1016/j.artmed.2011.06.004

WOS citations: 7; SCOPUS citations: 3

1. [1.1] BABU, V.S. – VAIDYA, A.S. An In-depth Analysis of Automatic Sleep Stage Categorization. In INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY. ISSN 1738-7906, SEP 30 2022, vol. 22, no. 9, p. 816-826. https://doi.org/10.22937/IJCSNS.2022.22.9.106; WOS

2. [1.1] COORAY, N. – LI, Z.L. – WANG, J.Z. – LO, C. – ARVANEH, M. – SYMMONDS, M. – HU, M. – DE VOS, M. – MIHAYLOVA, L.S. Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography. In 2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022). 2022; WOS

3. [1.1] EFE, E. – OZSEN, S. Comparison of Time-Frequency Analyzes for a Sleep Staging Application with CNN. In JOURNAL OF BIOMIMETICS BIOMATERIALS AND BIOMEDICAL ENGINEERING. ISSN 2296-9837, 2022, vol. 55, p. 109-130. https://doi.org/10.4028/p-2j5c10; WOS

4. [1.1] KUO, C.E. – LU, T.H. – CHEN, G.T. – LIAO, P.Y. Towards precision sleep medicine: Self-attention GAN as an innovative data augmentation technique for developing personalized automatic sleep scoring classification. In COMPUTERS IN BIOLOGY AND MEDICINE. ISSN 0010-4825, SEP 2022, vol. 148. https://doi.org/10.1016/j.compbiomed.2022.105828; WOS

5. [1.1] SMITH, M.G. – YOUNES, M. – AESCHBACH, D. – ELMENHORST, E.M. – MULLER, U. – BASNER, M. Traffic noise-induced changes in wake-propensity measured with the Odds-Ratio Product (ORP). In SCIENCE OF THE TOTAL ENVIRONMENT. ISSN 0048-9697, JAN 20 2022, vol. 805. https://doi.org/10.1016/j.scitotenv.2021.150191; WOS

6. [1.1] TAO, Y.J. – YANG, Y. – YANG, P. – NAN, F.T. – ZHANG, Y. – RAO, Y.L. – DU, F. A novel feature relearning method for automatic sleep staging based on single-channel EEG. In COMPLEX & INTELLIGENT SYSTEMS. ISSN 2199-4536, 2022. https://doi.org/10.1007/s40747-021-00779-6; WOS

7. [1.1] YOU, Y.Y. – ZHONG, X.Y. – LIU, G.Z. – YANG, Z.H. Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features. In ARTIFICIAL INTELLIGENCE IN MEDICINE. ISSN 0933-3657, MAY 2022, vol. 127. https://doi.org/10.1016/j.artmed.2022.102279; WOS

8. [1.2] FAN, X. – KANG, T. – LUO, R. – LAI, D. Two-Dimensional Deep Learning Based Classification of Sleep Stages with Time-Frequency Maps of Single-Lead EEG Segment. In 2022 3RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION AND MACHINE LEARNING, 2022, p. 211-215. https://doi.org/10.1109/PRML56267.2022.9882257; SCOPUS

9. [1.2] HUANG, G. – YUAN, Y. – CAO, G. – MA, F. AccSleepNet: An Axis-Aware Hybrid Deep Fusion Model for Sleep Stage Classification Using Wrist-Worn Accelerometer Data. In 2022 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, 2022, p. 1005-1012. https://doi.org/10.1109/BIBM55620.2022.9994962; SCOPUS

10. [1.2] KHARE, S.K. – BAJAJ, V. – TARAN, S. – SINHA, G.R. Multiclass sleep stage classification using artificial intelligence based time-frequency distribution and CNN. In ARTIFICIAL INTELLIGENCE-BASED BRAIN-COMPUTER INTERFACE, 2022, p. 1-21. https://doi.org/10.1016/B978-0-323-91197-9.00012-6; SCOPUS

 

• KRUSCHE-MANDL, I. – SCHMITT, B. – ZAK, L. – APPRICH, S. – ALDRIAN, S. – JURÁŠ, Vladimír – FRIEDRICH, K. – MARLOVITS, S. – WEBER, M. – TRATTNIG, S. Long-term results 8 years after autologous osteochondral transplantation: 7 T gagCEST and sodium magnetic resonance imaging with morphological and clinical correlation. In Osteoarthritis and Cartilage, 2012, vol. 20, p. 357-363. (2011: 3.904 – IF, Q1 – JCR, 2.035 – SJR, Q1 – SJR). (2012 – Current Contents). ISSN 1063-4584. https://doi.org/10.1016/j.joca.2012.01.020

WOS citations: 2

1. [1.1] EMANUEL, K.S. – KELLNER, L.J. – PETERS, M.J.M. – HAARTMANS, M.J.J. – HOOIJMANS, M.T. – EMANS, P.J. The relation between the biochemical composition of knee articular cartilage and quantitative MRI: a systematic review and meta-analysis. In OSTEOARTHRITIS AND CARTILAGE. ISSN 1063-4584, MAY 2022, vol. 30, no. 5, p. 650-662. https://doi.org/10.1016/j.joca.2021.10.016; WOS

2. [1.1] HEISS , R. – GUERMAZI, A. – JANKA, R. – UDER, M. – LI, X. – HAYASHI, D. – ROEMER, F.W. Update: Posttreatment Imaging of the Knee after Cartilage Repair. In SEMINARS IN MUSCULOSKELETAL RADIOLOGY. ISSN 1089-7860, 2022, vol. 26, no. 3, p. 216-229. https://doi.org/10.1055/s-0042-1743405; WOS

 

• KUKUROVÁ, I.J. – VALKOVIČ, Ladislav – UKROPEC, J. – DE COURTEN, B. – CHMELÍK, M. – UKROPCOVÁ, B. – TRATTNIG, S. – KRŠŠÁK, M. Improved spectral resolution and high reliability of in vivo 1H MRS at 7 T allow the characterization of the effect of acute exercise on carnosine in skeletal muscle. In NMR in Biomedicine, 2016, vol. 29, no. 1, p. 24–32. (2015: 2.983 – IF, Q1 – JCR, 1.624 – SJR, Q1 – SJR). (2016 – Current Contents). ISSN 0952-3480. https://doi.org/10.1002/nbm.3447

WOS citations: 1

1. [1.1] LIEVENS, E. – VAN VOSSEL, K. – VAN DE CASTEELE, F. – WEZENBEEK, E. – DEPREZ, D. – MATTHYS, S. – DE WINNE, B. – MCNALLY, S. – DE GRAAF, W. – MURDOCH, J. B. – BOURGOIS, J. G. – WITVROUW, E. – DERAVE, Wim. Muscle Fibre Typology as a Novel Risk Factor for Hamstring Strain Injuries in Professional Football (Soccer): A Prospective Cohort Study. In SPORTS MEDICINE, 2022, vol. 52, no. 1, pp. 177-185. ISSN 0112-1642. https://doi.org/10.1007/s40279-021-01538-2; WOS

 

• KURDIOVÁ, T. – BALÁŽ, M. – VICIAN, M. – PALOVÁ, D. – VLČEK, M. – VALKOVIČ, Ladislav – SRBECKÝ, M. – IMRICH, R. – KYSELOVIČOVÁ, O. – BELAN, V. – JELOK, I. – WOLFRUM, C. – KLIMEŠ, I. – KRŠŠÁK, M. – ZEMKOVÁ, E. – GAŠPERÍKOVÁ, D. – UKROPEC, J. – UKROPCOVÁ, B. Effects of obesity, diabetes and exercise on Fndc5 gene expression and irisin release in human skeletal muscle and adipose tissue: in vivo and in vitro studies. In Journal of Physiology, 2014, vol. 592, no. 5, p. 1091-1107. (2013: 4.544 – IF, Q1 – JCR, 2.717 – SJR, Q1 – SJR). (2014 – Current Contents). ISSN 0022-3751. https://doi.org/10.1113/jphysiol.2013.264655

WOS citations: 39; SCOPUS citations: 12; other citations: 2

1. [1.1] ABDI, A. – MEHRABANI, J. – NORDVALL, M. – WONG, A. – FALLAH, A. – BAGHERI, R. Effects of concurrent training on irisin and fibronectin type-III domain containing 5 (FNDC5) expression in visceral adipose tissue in type-2 diabetic rats. In ARCHIVES OF PHYSIOLOGY AND BIOCHEMISTRY, 2022, vol. 128, no. 3, p. 651-656. ISSN 1381-3455. https://doi.org/10.1080/13813455.2020.1716018; WOS

2. [1.1] ARMANDI, A. – ROSSO, C. – NICOLOSI, A. – CAVIGLIA, G.P. – ABATE, M.L. – OLIVERO, A. – D’AMATO, D. – VERNERO, M. – GAGGINI, M. – SARACCO, G.M. – RIBALDONE, D.G. – LEEMING, D.J. – GASTALDELLI, A. – BUGIANESI, E. Crosstalk between Irisin Levels, Liver Fibrogenesis and Liver Damage in Non-Obese, Non-Diabetic Individuals with Non-Alcoholic Fatty Liver Disease. In JOURNAL OF CLINICAL MEDICINE. FEB 2022, vol. 11, no. 3. https://doi.org/10.3390/jcm11030635; WOS

3. [1.1] ASLAN, M. – SARIKAYA, M. The Effect of Long-Term Exercise Training with Omega-3 Fatty Acid Supplement on Serum Iris and Some Blood Parameters. In MEDICAL SCIENCE. ISSN 2321-7359, SEP 2022, vol. 26, no. 127. https://doi.org/10.54905/disssi/v26i127/ms360e2401; WOS

4. [1.1] BALAKRISHNAN, R. – THURMOND, D.C. Mechanisms by Which Skeletal Muscle Myokines Ameliorate Insulin Resistance. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. MAY 2022, vol. 23, no. 9. https://doi.org/10.3390/ijms23094636; WOS

5. [1.1] BEREZIN, A.A. – FUSHTEY, I.M. – PAVLOV, S.V. – BEREZIN, A.E. Predictive value of serum irisin for chronic heart failure in patients with type 2 diabetes mellitus. In MOLECULAR BIOMEDICINE. NOV 9 2022, vol. 3, no. 1. https://doi.org/10.1186/s43556-022-00096-x; WOS

6. [1.1] BEREZIN, A.A. – LICHTENAUER, M. – BOXHAMMER, E. – STOHR, E. – BEREZIN, A.E. Discriminative Value of Serum Irisin in Prediction of Heart Failure with Different Phenotypes among Patients with Type 2 Diabetes Mellitus. In CELLS. SEP 2022, vol. 11, no. 18. https://doi.org/10.3390/cells11182794; WOS

7. [1.1] BEREZIN, A.A. – OBRADOVIC, Z. – NOVIKOV, E.V. – BOXHAMMER, E. – LICHTENAUER, M. – BEREZIN, A. Interplay between Myokine Profile and Glycemic Control in Type 2 Diabetes Mellitus Patients with Heart Failure. In DIAGNOSTICS. DEC 2022, vol. 12, no. 12. https://doi.org/10.3390/diagnostics12122940; WOS

8. [1.1] BILSKI, J. – PIERZCHALSKI, P. – SZCZEPANIK, M. – BONIOR, J. – ZOLADZ, J.A. Multifactorial Mechanism of Sarcopenia and Sarcopenic Obesity. Role of Physical Exercise, Microbiota and Myokines. In CELLS. JAN 2022, vol. 11, no. 01. https://doi.org/10.3390/cells11010160; WOS

9. [1.1] BOGA, S. – YILDIRIM, A.E. – UCBILEK, E. – KOKSAL, A.R. – SISMAN, S.T. – DURAK, I. – SEN, I. – DOGU, B. – SERIN, E. – UCBILEK, A.B. – YILDIRIM, M.O. – ERTURK, S.M. – ALKIM, H. – ALKIM, C. The effect of sarcopenia and serum myokines on prognosis and survival in cirrhotic patients: a multicenter cross-sectional study. In EUROPEAN JOURNAL OF GASTROENTEROLOGY & HEPATOLOGY. ISSN 0954-691X, DEC 2022, vol. 34, no. 12, p. 1261-1268. https://doi.org/10.1097/MEG.0000000000002461; WOS

10. [1.1] CANNAVO, A. – CARANDINA, A. – CORBI, G. – TOBALDINI, E. – MONTANO, N. – AROSIO, B. Are Skeletal Muscle Changes during Prolonged Space Flights Similar to Those Experienced by Frail and Sarcopenic Older Adults?. In LIFE-BASEL. DEC 2022, vol. 12, no. 12. https://doi.org/10.3390/life12122139; WOS

11. [1.1] D’AMURI, A. – RAPARELLI, V. – SANZ, J.M. – CAPATTI, E. – DI VECE, F. – VACCARI, F. – LAZZER, S. – ZULIANI, G. – DALLA NORA, E. – NERI, L.M. – PASSARO, A. Biological Response of Irisin Induced by Different Types of Exercise in Obese Subjects: A Non-Inferiority Controlled Randomized Study. In BIOLOGY-BASEL. MAR 2022, vol. 11, no. 3. https://doi.org/10.3390/biology11030392; WOS

12. [1.1] D’AMURI, A. – SANZ, J.M. – LAZZER, S. – PISOT, R. – BIOLO, G. – ZULIANI, G. – GASPARINI, M. – NARICI, M. – GRASSI, B. – REGGIANI, C. – DALLA NORA, E. – PASSARO, A. – SIMUNIC, B. Irisin Attenuates Muscle Impairment during Bed Rest through Muscle-Adipose Tissue Crosstalk. In BIOLOGY-BASEL. JUL 2022, vol. 11, no. 7. https://doi.org/10.3390/biology11070999; WOS

13. [1.1] DAUDON, M. – RAME, C. – ESTIENNE, A. – PRICE, C. – DUPONT, J. Impact of fibronectin type III domain-containing family in the changes in metabolic and hormonal profiles during peripartum period in dairy cows. In FRONTIERS IN VETERINARY SCIENCE. JUL 27 2022, vol. 9. https://doi.org/10.3389/fvets.2022.960778; WOS

14. [1.1] HAGHIGHI, A.H. – HAJINIA, M. – ASKARI, R. – ABBASIAN, S. – GOLDFIED, G. Effect of high-intensity interval training and high-intensity resistance training on irisin and fibroblast growth factor 21 in men with overweight and obesity. In CANADIAN JOURNAL OF PHYSIOLOGY AND PHARMACOLOGY. ISSN 0008-4212, SEP 2022, vol. 100, no. 9, p. 937-944. https://doi.org/10.1139/cjpp-2021-0712; WOS

15. [1.1] HUERTA-DELGADO, A.S. – ROFFE-VAZQUEZ, D.N. – LUNA-CERON, E. – GONZALEZ-GIL, A.M. – CASILLAS-FIKENTSCHER, A. – VILLARREAL-CALDERON, J.R. – ENRIQUEZ, C. – DE LA PENA-ALMAGUER, E. – CASTILLO, E.C. – SILVA-PLATAS, C. – GARCIA-RIVAS, G. – ELIZONDO-MONTEMAYOR, L. Association of irisin levels with cardiac magnetic resonance, inflammatory, and biochemical parameters in patients with chronic heart failure versus controls. In MAGNETIC RESONANCE IMAGING. ISSN 0730-725X, NOV 2022, vol. 93, p. 62-72. https://doi.org/10.1016/j.mri.2022.07.006; WOS

16. [1.1] JI, T. – LI, Y. – MA, L. Sarcopenic Obesity: An Emerging Public Health Problem. In AGING AND DISEASE, 2022, vol. 13, no. 2, p. 379-388. ISSN 2152-5250. https://doi.org/10.14336/AD.2021.1006; WOS

17. [1.1] KHAJEBISHAK, Y. – FAGHFOURI, A.H. – SOLEIMANI, A. – MADANI, S. – PAYAHOO, L. Exploration of meteorin-like peptide (metrnl) predictors in type 2 diabetic patients: the potential role of irisin, and other biochemical parameters. In HORMONE MOLECULAR BIOLOGY AND CLINICAL INVESTIGATION. ISSN 1868-1883, 2022. https://doi.org/10.1515/hmbci-2022-0037; WOS

18. [1.1] KOU, G.N. – LI, P.Y. – SHI, Y.F. – TRAORE, S.S. – SHI, X.Y. – AMOAH, A.N. – CUI, Z.W. – LYU, Q.J. Sesamin Activates Skeletal Muscle FNDC5 Expression and Increases Irisin Secretion via the SIRT1 Signaling Pathway. In JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY. ISSN 0021-8561, JUN 29 2022, vol. 70, no. 25, p. 7704-7715. https://doi.org/10.1021/acs.jafc.2c02794; WOS

19. [1.1] LIN, J.J. – LIU, X. – ZHOU, Y.L. – ZHU, B.S. – WANG, Y.X. – CUI, W. – PENG, Y. – WANG, B. – ZHAO, C. – ZHAO, R.Q. Molecular Basis of Irisin Regulating the Effects of Exercise on Insulin Resistance. In APPLIED SCIENCES-BASEL. JUN 2022, vol. 12, no. 12. https://doi.org/10.3390/app12125837; WOS

20. [1.1] LIU, C. – WEI, A.L. – WANG, T.H. Irisin, an Effective Treatment for Cardiovascular Diseases?. In JOURNAL OF CARDIOVASCULAR DEVELOPMENT AND DISEASE. SEP 2022, vol. 9, no. 9. https://doi.org/10.3390/jcdd9090305; WOS

21. [1.1] LUO, X.M. – LI, J.W. – ZHANG, H.L. – WANG, Y. – SHI, H.W. – GE, Y.F. – YU, X.J. – WANG, H.D. – DONG, Y.J. Irisin promotes the browning of white adipocytes tissue by AMPK alpha 1 signaling pathway. In RESEARCH IN VETERINARY SCIENCE. ISSN 0034-5288, DEC 20 2022, vol. 152, p. 270-276. https://doi.org/10.1016/j.rvsc.2022.08.025; WOS

22. [1.1] MARTINEZ-GAYO, A. – FELIX-SORIANO, E. – SAINZ, N. – GONZALEZ-MUNIESA, P. – MORENO-ALIAGA, M.J. Changes Induced by Aging and Long-Term Exercise and/or DHA Supplementation in Muscle of Obese Female Mice. In NUTRIENTS. OCT 2022, vol. 14, no. 20. https://doi.org/10.3390/nu14204240; WOS

23. [1.1] MOMENZADEH, S. – JAMI, M.S. – JALALVAND, A. – ESFARJANI, F. – SHAHABI, S. – ZAMANI, S. Irisin, A Mediator of Muscle Crosstalk with Other Organs: From Metabolism Regulation to Protective and Regenerative Effects. In CURRENT PROTEIN & PEPTIDE SCIENCE. ISSN 1389-2037, 2022, vol. 23, no. 2, p. 89-104. https://doi.org/10.2174/1389203723666220217141918; WOS

24. [1.1] NORMAN, D. – DROTT, C.J. – CARLSSON, P.O. – ESPES, D. Irisin-A Pancreatic Islet Hormone. In BIOMEDICINES. FEB 2022, vol. 10, no. 2. https://doi.org/10.3390/biomedicines10020258; WOS

25. [1.1] O’REILLY, C. – LIN, L.G. – WANG, H.Y. – FLUCKEY, J. – SUN, Y.X. Ablation of Ghrelin Receptor Mitigates the Metabolic Decline of Aging Skeletal Muscle. In GENES. AUG 2022, vol. 13, no. 8. https://doi.org/10.3390/genes13081368; WOS

26. [1.1] OFLAZOGLU, U. – CAGLAR, S. – YILMAZ, H.E. – ONAL, H.T. – VAROL, U. – SALMAN, T. – YILDIZ, Y. – UNAL, S. – GUC, Z.G. – KUCUKZEYBEK, Y. – ALACACIOGLU, A. – TARHAN, M.O. The relationship between sarcopenia detected in newly diagnosed colorectal cancer patients and FGF21, irisin and CRP levels. In EUROPEAN GERIATRIC MEDICINE. ISSN 1878-7649, AUG 2022, vol. 13, no. 4, p. 795-803. https://doi.org/10.1007/s41999-022-00635-3; WOS

27. [1.1] PARADA-SANCHEZ, S.G. – MACIAS-CERVANTES, M.H. – PEREZ-VAZQUEZ, V. – VARGAS-ORTIZ, K. e The Effects of Different Types of Exercise on Circulating Irisin Levels in Healthy Individuals and in People With Overweight, Metabolic Syndrome and Type 2 Diabetes. In PHYSIOLOGICAL RESEARCH. ISSN 0862-8408, AUG 2022, vol. 71, no. 4, p. 457-475. https://doi.org/10.33549/physiolres.934896; WOS

28. [1.1] PARSANATHAN, R. – JAIN, S.K. Hydrogen Sulfide Regulates Irisin and Glucose Metabolism in Myotubes and Muscle of HFD-Fed Diabetic Mice. In ANTIOXIDANTS. JUL 2022, vol. 11, no. 7. https://doi.org/10.3390/antiox11071369; WOS

29. [1.1] PAZOKIAN, F. – AMANI-SHALAMZARI, S. – RAJABI, H. Effects of functional training with blood occlusion on the irisin, follistatin, and myostatin myokines in elderly men. In EUROPEAN REVIEW OF AGING AND PHYSICAL ACTIVITY. ISSN 1813-7253, DEC 2022, vol. 19, no. 1. https://doi.org/10.1186/s11556-022-00303-2; WOS

30. [1.1] SADEGHABADI, Z.A. – ABBASALIPOURKABIR, R. – MOHSENI, R. – ZIAMAJIDI, N. Chicoric acid does not restore palmitate-induced decrease in irisin levels in PBMCs of newly diagnosed patients with T2D and healthy subjects. In ARCHIVES OF PHYSIOLOGY AND BIOCHEMISTRY, 2022, vol. 128, no. 2, p. 532-538. ISSN 1381-3455. https://doi.org/10.1080/13813455.2019.1702060; WOS

31. [1.1] SCHEEL, A.K. – ESPELAGE, L. – CHADT, A. Many Ways to Rome: Exercise, Cold Exposure and Diet-Do They All Affect BAT Activation and WAT Browning in the Same Manner?. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. MAY 2022, vol. 23, no. 9. https://doi.org/10.3390/ijms23094759; WOS

32. [1.1] TANG, L. – YU, B. – LIAO, Y.M. – LONG, S.Q. – YAN, H.X. – HE, Q.Q. – LI, C.Q. Serum Irisin: A Potential Diagnostic Marker for Insulin Resistance in Acne Vulgaris. In INDIAN JOURNAL OF DERMATOLOGY. ISSN 0019-5154, JUL-AUG 2022, vol. 67, no. 4, p. 477. https://doi.org/10.4103/ijd.ijd_251_22; WOS

33. [1.1] UGRAS, S. – ALGUL, S. – OZDENK, C. Comparatively evaluating the effects of exercising at the anaerobic threshold on oxidative stress and serum levels of leptin, nesfatin-1 and irisin in sedentary male and females. In PROGRESS IN NUTRITION. ISSN 1129-8723, 2022, vol. 24, no. 1. https://doi.org/10.23751/pn.v24i1.11969; WOS

34. [1.1] ULAMA, M.S. – SARIKAYA, M. Adaptation of the effect of chromium mineral supplement on serum irisin, leptin and ghrelin hormone levels to exercise trainings. In JOURNAL OF PHARMACEUTICAL NEGATIVE RESULTS. ISSN 0976-9234, 2022, vol. 13, no. 3, p. 796-803. https://doi.org/10.47750/pnr.2022.13.03.120; WOS

35. [1.1] ULAMA, M.S. – SARIKAYA, M. Adaptation of the effect of chromium mineral supplement on serum irisin, leptin and ghrelin hormone levels to exercise trainings. In JOURNAL OF PHARMACEUTICAL NEGATIVE RESULTS. ISSN 0976-9234, 2022, vol. 13, no. 4, p. 593-600. https://doi.org/10.47750/pnr.2022.13.04.078; WOS

36. [1.1] ULUALAN, G. – KIRAZ, Z.K. – KIREL, B. Relation of serum irisin levels to obesity and non-alcoholic fatty liver disease. In TURKISH JOURNAL OF PEDIATRICS. ISSN 0041-4301, MAR-APR 2022, vol. 64, no. 2, p. 246-254. https://doi.org/10.24953/turkjped.2020.3003; WOS

37. [1.1] YEN, C.H. – CHANG, P.S. – CHANG, Y.H. – LIN, P.T. Identification of Coenzyme Q10 and Skeletal Muscle Protein Biomarkers as Potential Factors to Assist in the Diagnosis of Sarcopenia. In ANTIOXIDANTS. APR 2022, vol. 11, no. 4. https://doi.org/10.3390/antiox11040725; WOS

38. [1.1] ZHAO, R.Q. Irisin at the crossroads of inter-organ communications: Challenge and implications. In FRONTIERS IN ENDOCRINOLOGY. ISSN 1664-2392, OCT 4 2022, vol. 13. https://doi.org/10.3389/fendo.2022.989135; WOS

39. [1.1] ZHENG, S. – CHEN, N. – KANG, X. – HU, Y. – SHI, S. Irisin alleviates FFA induced beta-cell insulin resistance and inflammatory response through activating PI3K/AKT/FOXO1 signaling pathway. In ENDOCRINE, 2022, vol. 75, no. 3, p. 740-751. ISSN 1355-008X. https://doi.org/10.1007/s12020-021-02875-y; WOS

40. [1.2] ABBAS, N.H. – ABDULRAHMAN, S.J. Assessment of the Levels of Irisin, Myonectin in Among Patients with Diabetes Type 2 in Kirkuk\Iraq. In HIV NURSING, 2022, vol. 22, no. 2, p. 832-835. ISSN 1474-7359. https://doi.org/10.31838/hiv22.02.162; SCOPUS

41. [1.2] BARROS, D. – MARQUES, E.A. – MAGALHÃES, J. – CARVALHO, J. Energy metabolism and frailty: The potential role of exercise-induced myokines – A narrative review. In AGEING RESEARCH REVIEWS, 2022, vol. 82. ISSN 1568-1637. https://doi.org/10.1016/j.arr.2022.101780; SCOPUS

42. [1.2] GHODRATI, N. – HAGHIGHI, A.H. – HOSSEINI KAKHAK, S.A. – ABBASIAN, S. – GOLDFIELD, G.S. Effect of Combined Exercise Training on Physical and Cognitive Function in Women With Type 2 Diabetes. In CANADIAN JOURNAL OF DIABETES, 2022. ISSN 1499-2671. https://doi.org/10.1016/j.jcjd.2022.11.005; SCOPUS

43. [1.2] MARDANI, S. – BINIAZ, S.A. – RAMEZANI, S. The Effect of 8 Weeks of Continuous Aerobic Training on Serum Irizin Level and Insulin Resistance Index of Middle-Aged Women with Type 2 Diabetes. In IRANIAN JOURNAL OF DIABETES AND METABOLISM, 2022, vol. 22, no. 2, p. 89-98. ISSN 2345-4008; SCOPUS

44. [1.2] MOGYLNYTSKA, L.A. – OSOVSKA, N.U. – ODARCHUK, I.V. Irisine’s concentration in patients with obesity, type 2 diabetes with different body weight. In PROBLEMI ENDOKRINNOI PATOLOGII, 2022, vol. 79, no. 2, p. 39-46. ISSN 2227-4782. https://doi.org/10.21856/J-PEP.2022.2.06; SCOPUS

45. [1.2] RADUGIN, F.M. – TIMKINA, N.V. – KARONOVA, T.L. Metabolic properties of irisin in health and in diabetes mellitus. In OBESITY AND METABOLISM, 2022, vol. 19, no. 3, p. 332-339. ISSN 2071-8713. https://doi.org/10.14341/omet12899; SCOPUS

46. [1.2] SAHOO, D. – PATTANAIK, S. – KUMAR, P. – GANDHI, R. Role of serum irisin during early pregnancy to predict the development of gestational diabetes mellitus at 24-28 weeks of pregnancy in high-risk patients. In INDIAN JOURNAL OF ENDOCRINOLOGY AND METABOLISM, 2022, vol. 26, no. 1, p. 61-67. ISSN 2230-8210. https://doi.org/10.4103/ijem.ijem_466_21; SCOPUS

47. [1.2] TAHA, M. – ALNAAM, Y.A. – AL MAQATI, T. – ALMUSALLAM, L. – ALTALIB, G. – ALOWFI, D. – HAIDER, N. Impact of muscle mass on blood glucose level. In JOURNAL OF BASIC AND CLINICAL PHYSIOLOGY AND PHARMACOLOGY, 2022, vol. 33, no. 6, p. 779-787. ISSN 0792-6855. https://doi.org/10.1515/jbcpp-2021-0316; SCOPUS

48. [1.2] WANG, Y.D. – WU, L.L. – QI, X.Y. – WANG, Y.Y. – LIAO, Z.Z. – LIU, J.H. – XIAO, X.H. New insight of obesity-associated NAFLD: Dysregulated “crosstalk” between multi-organ and the liver? In GENES AND DISEASES. ISSN 2352-3042, 2022. https://doi.org/10.1016/j.gendis.2021.12.013; SCOPUS

49. [1.2] YAN, Y. – YANG, D. – WEN, P. – LI, Y. – GE, Y. – MA, P. – YUAN, J. – ZHANG, P. – ZHU, Z. – LUO, X. – YU, X. – WANG, H. Expression analysis of irisin during different development stages of skeletal muscle in mice. In GENE EXPRESSION PATTERNS, 2022, vol. 46. ISSN 1567-133X. https://doi.org/10.1016/j.gep.2022.119287; SCOPUS

50. [1.2] ZAKI, M. – ABDALLAH, H.R. – EL-BASSYOUNI, H.T. – TAWFEEK, H.M. – HANNA, H. – ASHOUR, M.N. – YOUNESS, E.R. Circulating Irisin In Relation To Obesityand Anorexia Nervosa in Patients with Type 2 Diabetes. In EGYPTIAN JOURNAL OF CHEMISTRY, 2022, vol. 65, no. 12, p. 175-180. ISSN 0449-2285. https://doi.org/10.21608/EJCHEM.2022.112977.5143; SCOPUS

51. [1.2] ZHANG, N. – JIANG, T. – ZHANG, Y. – ZHANG, Q. Abnormal Change of Serum Irisin Level in Overweight or Obese Patients with Type 2 Diabetes Mellitus. In CHINESE GENERAL PRACTICE, 2022, vol. 25, no. 32, p. 4041-4045. ISSN 1007-9572. https://doi.org/10.12114/j.issn.1007-9572.2022.0491; SCOPUS

52. [3.1] LE GRAZIE, G. – MARRANO, N. – NATALICCHIO, A. – GIORGINO, F. L’irisina: un ormone con benefici multiorgano. In L’ENDOCRINOLOGO, 2022, vol. 23, p. 189-192. https://doi.org/10.1007/s40619-022-01046-z

53. [3.1] SUKA ARYANA, I.G.P. – SURYARINI, S. Peran Penting Miokin melalui Latihan Fisik pada Usia Lanjut, 2022, ISBN 9786239968984. https://doi.org/10.53638/BP.9786239968984

 

• KUSHCH, I. – ARENDACKÁ, Barbora – ŠTOLC, Svorad – MOCHALSKI, P. – FILIPIAK, W. – SCHWARZ, K. – SCHWENTNER, L. – SCHMID, A. – DZIEN, A. – LECHLEITNER, M. – WITKOVSKÝ, Viktor – MIEKISCH, W. – SCHUBERT, J. – UNTERKOFLER, K. – AMANN, A. Breath isoprene – aspects of normal physiology related to age, gender and cholesterol profile as determined in a proton transfer reaction mass spectrometry study. In Clinical Chemistry and Laboratory Medicine, 2008, vol. 46, no. 7, p. 1011-1018. (2007: 1.741 – IF, Q2 – JCR, 0.662 – SJR, Q2 – SJR). (2007 – Current Contents). ISSN 1434-6621. https://doi.org/10.1515/CCLM.2008.181

WOS citations: 7; SCOPUS citations: 2

1. [1.1] BELL, L.R. – WALLEN, M.P. – TALPEY, S.W. – MYERS, M.A. – O’;BRIEN, B.J. Can exhaled volatile organic compounds differentiate high and low responders to resistance exercise?. In MEDICAL HYPOTHESES. ISSN 0306-9877, MAY 2022, vol. 162. https://doi.org/10.1016/j.mehy.2022.110837; WOS

2. [1.1] BIAGINI, D. – FUSI, J. – VEZZOSI, A. – OLIVERI, P. – GHIMENTI, S. – LENZI, A. – SALVO, P. – DANIELE, S. – SCARFO, G. – VIVALDI, F. – BONINI, A. – MARTINI, C. – FRANZONI, F. – DI FRANCESCO, F. – LOMONACO, T. Effects of long-term vegan diet on breath composition. In JOURNAL OF BREATH RESEARCH. ISSN 1752-7155, APR 1 2022, vol. 16, no. 2. https://doi.org/10.1088/1752-7163/ac4d41; WOS

3. [1.1] GBAOUI, L. – FACHET, M. – LUNO, M. – MEYER-LOTZ, G. – FRODL, T. – HOESCHEN, C. Breathomics profiling of metabolic pathways affected by major depression: Possibilities and limitations. In FRONTIERS IN PSYCHIATRY. ISSN 1664-0640, DEC 14 2022, vol. 13. https://doi.org/10.3389/fpsyt.2022.1061326; WOS

4. [1.1] SHI, L.J. – WANG, H.R. – WU, X.Y. – WANG, D.Z. – ZHANG, Q.M. – HAN, B.Q. – SUN, J.H. – WEI, X.Y. – LI, C.Q. A microfabricated semi-packed column coated with porous layer and ionic liquid for the separation of characteristic markers of non-alcoholic fatty liver disease. In JOURNAL OF MICROMECHANICS AND MICROENGINEERING. ISSN 0960-1317, AUG 1 2022, vol. 32, no. 8. https://doi.org/10.1088/1361-6439/ac7bcf; WOS

5. [1.1] SIM, D. – BROTHERS, M.C. – SLOCIK, J.M. – ISLAM, A.E. – MARUYAMA, B. – GRIGSBY, C.C. – NAIK, R.R. – KIM, S.S. Biomarkers and Detection Platforms for Human Health and Performance Monitoring: A Review. In ADVANCED SCIENCE. MAR 2022, vol. 9, no. 7. https://doi.org/10.1002/advs.202104426; WOS

6. [1.1] WEI, X. – LI, Q.Y. – WU, Y.H. – LI, J. – ZHANG, G.K. – SUN, M.X. – LI, Y.X. Determination of breath isoprene in 109 suspected lung cancer patients using cavity ringdown spectroscopy. In JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES. ISSN 1793-5458, SEP 2022, vol. 15, no. 05. https://doi.org/10.1142/S1793545822500298; WOS

7. [1.1] ZOU, Z.W. – YANG, X.D. Volatile organic compound emissions from the human body: Decoupling and comparison between whole-body skin and breath emissions. In BUILDING AND ENVIRONMENT. ISSN 0360-1323, DEC 2022, vol. 226. https://doi.org/10.1016/j.buildenv.2022.109713; WOS

8. [1.2] LARRACY, R. – PHINYOMARK, A. – SCHEME, E. Infrared cavity ring-down spectroscopy for detecting non-small cell lung cancer in exhaled breath. In JOURNAL OF BREATH RESEARCH. ISSN 1752-7163, 2022, vol. 16, no. 2. https://doi.org/10.1088/1752-7163/ac5e4f; SCOPUS

9. [1.2] PHAM, Y.L. – BEAUCHAMP, J. Analytical approaches for disease detection. In VOLATILE BIOMARKERS FOR HUMAN HEALTH: FROM NATURE TO ARTIFICIAL SENSES, 2022, ISBN 978-183916430-9, p. 284-322; SCOPUS

 

• LATTA, Peter – GRUWEL, M.L.H. – VOLOTOVSKYY, V. – WEBER, M. – TOMANEK, B. Simple phase method for measurement of magnetic field gradient waveforms. In Magnetic Resonance Imaging, 2007, vol. 25, p. 1272–1276. (2006: 1.580 – IF, Q3 – JCR, 0.766 – SJR, Q1 – SJR). (2007 – Current Contents). ISSN 0730-725X. https://doi.org/10.1016/j.mri.2007.02.002

WOS citations: 2

1. [1.1] FAN, Q.Y. – EICHNER, C. – AFZALI, M. – MUELLER, L. – TAX, C.M.W. – DAVIDS, M. – MAHMUTOVIC, M. – KEIL, B. – BILGIC, B. – SETSOMPOP, K. – LEE, H.H. – TIAN, Q.Y. – MAFFEI, C. – RAMOS-LLORDEN, G. – NUMMENMAA, A. – WITZEL, T. – YENDIKI, A. – SONG, Y.Q. – HUANG, C.C. – LIN, C.P. – WEISKOPF, N. – ANWANDER, A. – JONES, D.K. – ROSEN, B.R. – WALD, L.L. – HUANG, S.Y. Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact. In NEUROIMAGE. ISSN 1053-8119, JUL 1 2022, vol. 254. https://doi.org/10.1016/j.neuroimage.2022.118958; WOS

2. [2.1] ANDRIS, P. – DERMEK, T. – GOGOLA, D. – PRIBIL, J. – FROLLO, I. Analysis of NMR Signal for Static Magnetic Field Standard. In MEASUREMENT SCIENCE REVIEW. ISSN 1335-8871, APR 1 2022, vol. 22, no. 2, p. 80-83. https://doi.org/10.2478/msr-2022-0010; WOS

 

• LATTA, Peter – GRUWEL, M.L.H. – VOLOTOVSKYY, V. – WEBER, M. – TOMANEK, B. Single-point imaging with a variable phase encoding interval. In Magnetic Resonance Imaging, 2008, vol. 26, p. 109-116. (2007: 1.486 – IF, Q3 – JCR, 0.850 – SJR, Q1 – SJR). (2008 – Current Contents). ISSN 0730-725X. https://doi.org/10.1016/j.mri.2007.05.004

WOS citations: 1

1. [2.1] ANDRIS, P. – DERMEK, T. – GOGOLA, D. – PRIBIL, J. – FROLLO, I. Analysis of NMR Signal for Static Magnetic Field Standard. In MEASUREMENT SCIENCE REVIEW. ISSN 1335-8871, APR 1 2022, vol. 22, no. 2, p. 80-83. https://doi.org/10.2478/msr-2022-0010; WOS

 

• LATTA, Peter – GRUWEL, M.L.H. – DEBERGUE, P. – MATWIY, B. – SBOTO-FRANKENSTEIN, U. – TOMANEK, B. Convertible pneumatic actuator for magnetic resonance elastography of the brain. In Magnetic Resonance Imaging, 2011, vol. 29, p. 147–152. (2010: 2.042 – IF, Q2 – JCR, 1.079 – SJR, Q1 – SJR). (2011 – Current Contents). ISSN 0730-725X. https://doi.org/10.1016/j.mri.2010.07.014

WOS citations: 1; SCOPUS citations: 1

1. [1.1] TARDIEU, M. – SALAMEH, N. – SOURIS, L. – ROUSSEAU, D. – JOURDAIN, L. – SKEIF, H. – PREVOT, F. – DE ROCHEFORT, L. – DUCREUX, D. – LOUIS, B. – GARTEISER, P. – SINKUS, R. – DARRASSE, L. – POIRIER-QUINOT, M. – MAITRE, X. Magnetic resonance elastography with guided pressure waves. In NMR IN BIOMEDICINE. ISSN 0952-3480, JUL 2022, vol. 35, no. 7. https://doi.org/10.1002/nbm.4701; WOS

2. [1.2] TRIOLO, E.R. – KHEGAI, O. – OZKAYA, E. – ROSSI, N. – ALIPOUR, A. – FLEYSHER, L. – BALCHANDANI, P. – KURT, M. Design, Construction, and Implementation of a Magnetic Resonance Elastography Actuator for Research Purposes. In CURRENT PROTOCOLS, 2022, vol. 2, no. 3. https://doi.org/10.1002/cpz1.379; SCOPUS

 

• LENKOVÁ, Jana – ŠVEHLÍKOVÁ, Jana – TYŠLER, Milan. Individualized model of torso surface for the inverse problem of electrocardiology. In Journal of Electrocardiology, 2012, vol. 45, no. 3, p. 231-236. (2011: 1.141 – IF, Q4 – JCR, 0.537 – SJR, Q2 – SJR). (2012 – Current Contents). ISSN 0022-0736. https://doi.org/10.1016/j.jelectrocard.2012.01.006

WOS citations: 1; SCOPUS citations: 1

1. [1.1] MOLERO, R. – GONZALEZ-ASCASO, A. – HERNANDEZ-ROMERO, I. – LUNDBACK-MOMPO, D. – CLIMENT, A.M. – GUILLEM, M.S. Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation. In FRONTIERS IN PHYSIOLOGY. AUG 29 2022, vol. 13. https://doi.org/10.3389/fphys.2022.908364; WOS

2. [1.2] MOLERO, R. – GONZALEZ-ASCASO, A. – HERNANDEZ-ROMERO, I. – CLIMENT, A.M. – GUILLEM, M.S. Effect of Torso Mesh Density on Electrocardiographic Imaging Resolution from Atrial Fibrillation Simulations. In COMPUTING IN CARDIOLOGY, 2022. ISSN 2325-8861. https://doi.org/10.22489/CinC.2022.187; SCOPUS

 

• LEWANDOWSKI, A. – ROSIPAL, Roman – DORFFNER, G. Extracting more information from EEG recordings for a better description of sleep. In Computer Methods and Programs in Biomedicine, 2012, vol. 108, p. 961-972. (2011: 1.516 – IF, Q1 – JCR, 0.646 – SJR, Q2 – SJR). (2012 – Current Contents). ISSN 0169-2607. https://doi.org/10.1016/j.cmpb.2012.05.009

WOS citations: 2

1. [1.1] CUDNEY, L.E. – FREY, B.N. – MCCABE, R.E. – GREEN, S.M. Investigating the relationship between objective measures of sleep and self-report sleep quality in healthy adults: a review. In JOURNAL OF CLINICAL SLEEP MEDICINE. ISSN 1550-9389, MAR 1 2022, vol. 18, no. 3, p. 927-936. https://doi.org/10.5664/jcsm.9708; WOS

2. [1.1] HERMANS, L.W. – HUIJBEN, I.A. – VAN GORP, H. – LEUFKENS, T.R. – FONSECA, P. – OVEREEM, S. – GILST, M.M. Representations of temporal sleep dynamics: Review and synthesis of the literature. In SLEEP MEDICINE REVIEWS. ISSN 1087-0792, 2022, vol. 63. https://doi.org/10.1016/j.smrv.2022.101611; WOS

 

• LI, P. – FARKAŠ, Igor – MACWHINNEY, B. Early lexical development in a self-organizing neural network. In Neural Networks, 2004, vol. 17, p. 1345-1362. (2004 – Current Contents). ISSN 0893-6080. https://doi.org/10.1016/j.neunet.2004.07.004

WOS citations: 5; SCOPUS citations: 3; other citations: 2

1. [1.1] HAN, B. – KOH, P.W. – ZHANG, S. – JOSHI, R.M. – LI, H. The relative contributions of facets of morphological awareness to vocabulary development in Chinese: A longitudinal study in grades one to three. In CONTEMPORARY EDUCATIONAL PSYCHOLOGY. ISSN 0361-476X, APR 2022, vol. 69. https://doi.org/10.1016/j.cedpsych.2022.102063; WOS

2. [1.1] KROEGER, B.J. – BEKOLAY, T. – CAO, M.X. On the Emergence of Phonological Knowledge and on Motor Planning and Motor Programming in a Developmental Model of Speech Production. In FRONTIERS IN HUMAN NEUROSCIENCE. ISSN 1662-5161, MAY 12 2022, vol. 16. https://doi.org/10.3389/fnhum.2022.844529; WOS

3. [1.1] NARANJO, E. – LOPEZ, V.F. – MORENO, M.N. – MUNOZ, M.D. – SAN MARTIN, J.J. Opinion Mining for Curriculum Enrichment Using Self-Organizing Maps. In NEW TRENDS IN DISRUPTIVE TECHNOLOGIES, TECH ETHICS AND ARTIFICIAL INTELLIGENCE: THE DITTET COLLECTION. ISSN 2194-5357, 2022, vol. 1410, p. 76-87. https://doi.org/10.1007/978-3-030-87687-6_9; WOS

4. [1.1] TAGLIAZUCCHI, E. Language as a Window Into the Altered State of Consciousness Elicited by Psychedelic Drugs. In FRONTIERS IN PHARMACOLOGY. MAR 22 2022, vol. 13. https://doi.org/10.3389/fphar.2022.812227; WOS

5. [1.1] ZHAO, X.W. – LI, P. Fuzzy or Clear? A Computational Approach Towards Dynamic L2 Lexical-Semantic Representation. In FRONTIERS IN COMMUNICATION. JAN 21 2022, vol. 6. https://doi.org/10.3389/fcomm.2021.726443; WOS

6. [1.2] BINHOMRAN, K. – ALTALHAB, S. The impact of implementing augmented reality to enhance the vocabulary of young EFL learners. In JALT CALL JOURNAL, 2021, vol. 17, no. 1, p. 23-44. ISSN 1832-4215. https://doi.org/10.29140/JALTCALL.V17N1.304; SCOPUS

7. [1.2] CAPPELLI, G. The impact of dyslexia on lexico-semantic abilities: An overview. In A LINGUISTIC APPROACH TO THE STUDY OF DYSLEXIA, 2022, p. 211-239. ISBN 978-180041597-3; SCOPUS

8. [1.2] MCMANUS, K. Crosslinguistic Influence and Second Language Learning, 2021, pp. 1-163. ISBN 978-100045195-5. https://doi.org/10.4324/9780429341663; SCOPUS

9. [3.1] BYLUND, E. – ATHANASOPOULOS, P. Age of acquisition in second language thinking. In SECOND LANGUAGE ACQUISITION THEORY, 2022, p. 177-196. https://doi.org/10.1075/bpa.14

10. [3.1] PLEBE, A. – PERCONTI, P. The Future of the Artificial Mind. CRC Press, 2022, ISBN 9780367638276.

 

• MAJEROVÁ, Melinda – PRNOVÁ, A. – PLŠKO, A. – ŠVANČÁREK, P. – VALÚCHOVÁ, J. – KLEMENT, R. – GALUSEK, D. Crystallization kinetics of gehlenite glass microspheres. In Journal of Thermal Analysis and Calorimetry, 2020, vol. 142, p. 1003-1010. (2019: 2.731 – IF, Q2 – JCR, 0.415 – SJR, Q3 – SJR). (2020 – Current Contents). ISSN 1388-6150. https://doi.org/10.1007/s10973-020-09305-7

SCOPUS citations: 1

1. [1.2] YANG, Q. – WU, J. – HU, C. – NIU, T. – HAN, X. – FENG, X. – YE, Z. Evolution and Formation Kinetics of Gehlenite Phase in Ordinary Sulfoaluminate Cement Clinker with Low Alinf2/infOinf3/inf/SiOinf2/inf Ratio. In KUEI SUAN JEN HSUEH PAO / JOURNAL OF THE CHINESE CERAMIC SOCIETY, 2022, vol. 50, no. 7, p. 1972-1977. ISSN 0454-5648. https://doi.org/10.14062/j.issn.0454-5648.20211015; SCOPUS

 

• MAJEROVÁ, Melinda – ŠKRÁTEK, Martin – HRUŠKA, B. – DVUREČENSKIJ, Andrej – ŠVANČÁREK, P. – PRNOVÁ, A. – KRAXNER, J. – BRUNEEL, E. – DE BUYSSER, K. – GALUSEK, D. Structure and magnetic properties of Bi-doped calcium aluminosilicate glass microspheres. In Pure and Applied Chemistry, 2022, vol. 94, no. 2, p. 197-213. (2021: 2.320 – IF, Q3 – JCR, 0.440 – SJR, Q2 – SJR). (2022 – Current Contents). ISSN 0033-4545. https://doi.org/10.1515/pac-2021-0703

Other citations: 1

1. [3.1] MAJUMDAR, M.G. –  CHANDRASHEKAR, C.M. Harnessing Brillouin interaction in rare-earth aluminosilicate glass microwires for optoelectromechanic quantum transduction. In arXiv:2210.01581, 2022. https://doi.org/10.48550/arXiv.2210.01581

 

• MAJEROVÁ, Melinda – PRNOVÁ, A. – PLŠKO, A. – HRUŠKA, B. – VALÚCHOVÁ, J. – KRAXNER, J. – BRUNEEL, E. – DE BUYSSER, K. – GALUSEK, D. Crystallization kinetics of Ni‑doped Ca2Al2SiO7 glass microspheres. In Journal of Thermal Analysis and Calorimetry, 2020, vol. 142, no. 5, p. 2111–2121. (2019: 2.731 – IF, Q2 – JCR, 0.415 – SJR, Q3 – SJR). (2020 – Current Contents). ISSN 1388-6150. https://doi.org/10.1007/s10973-020-10154-7

WOS citations: 1; other citations: 1

1. [1.1] ABO-MOSALLAM, H.A. – IBRAHIM, S. – MAHDY, E.A. New high nickel-containing glass-ceramics based on Li2O-CaO-SiO2 eutectic (954 degrees C) system for magnetic applications. In JOURNAL OF NON-CRYSTALLINE SOLIDS. ISSN 0022-3093, MAR 15 2022, vol. 580. https://doi.org/10.1016/j.jnoncrysol.2021.121385; WOS

2. [3.1] ABO-MOSALLAM, H.A. – MOHAMED, F. The Impact of Nio on Crystallization Behavior And Thermo-Magnetic Properties of Lithium Nickel Phosphate Glasses as New Soft Magnetic Materials. In SSRN, 2022, http://dx.doi.org/10.2139/ssrn.4233030

 

• MAMISCH, T.C. – MENZEL, M.I. – WELSCH, G.H. – BITTERSOHL, B. – SALOMONOWITZ, E. – SZOMOLÁNYI, Pavol – KORDELLE, J. – MARLOVITS, S. – TRATTNIG, S. Steady-state diffusion imaging for MR in-vivo evaluation of reparative cartilage after matrix-associated autologous chondrocyte transplantation at 3 tesla—Preliminary results. In European Journal of Radiology, 2008, vol. 65, p. 72-79. (2007: 1.915 – IF, Q2 – JCR, 0.931 – SJR, Q1 – SJR). (2008 – Current Contents). ISSN 0720-048X. https://doi.org/10.1016/j.ejrad.2007.09.015

WOS citations: 2

1. [1.1] BANJAR, M. – HORIUCHI, S. – GEDEON, D.N. – YOSHIOKA, H. An Invited Review for the Special 20th Anniversary Issue of MRMS Review of Quantitative Knee Articular Cartilage MR Imaging. In MAGNETIC RESONANCE IN MEDICAL SCIENCES. ISSN 1347-3182, 2022, vol. 21, no. 1, p. 29-40. https://doi.org/10.2463/mrms.rev.2021-0052; WOS

2. [1.1] KLIMEK, K. – TARCZYNSKA, M. – TRUSZKIEWICZ, W. – GAWEDA, K. – DOUGLAS, T.E.L. – GINALSKA, G. Freeze-Dried Curdlan/Whey Protein Isolate-Based Biomaterial as Promising Scaffold for Matrix-Associated Autologous Chondrocyte Transplantation-A Pilot In-Vitro Study. In CELLS. JAN 2022, vol. 11, no. 2. https://doi.org/10.3390/cells11020282; WOS

 

• MAYERHOEFER, M.E. – SZOMOLÁNYI, Pavol – JIRÁK, D. – BERG, A. – MATERKA, A. – DIRISAMER, A. – TRATTNIG, S. Effects of magnetic resonance image interpolation on the results of texture-based pattern classification. A phantom study. In Investigative Radiology, 2009, vol. 44, no. 7, p. 405-411. (2008: 5.289 – IF, Q1 – JCR, 3.671 – SJR, Q1 – SJR). (2009 – Current Contents). ISSN 0020-9996. https://doi.org/10.1097/RLI.0b013e3181a50a66

WOS citations: 13

1. [1.1] AYX, I. – THARMASEELAN, H. – HERTEL, A. – NORENBERG, D. – OVERHOFF, D. – ROTKOPF, L.T. – RIFFEL, P. – SCHOENBERG, S.O. – FROELICH, M.F. Comparison Study of Myocardial Radiomics Feature Properties on Energy-Integrating and Photon-Counting Detector CT. In DIAGNOSTICS. MAY 2022, vol. 12, no. 5. https://doi.org/10.3390/diagnostics12051294; WOS

2. [1.1] CARBONELL, G. – KENNEDY, P. – BANE, O. – KIRMANI, A. – EL HOMSI, M. – STOCKER, D. – SAID, D. – MUKHERJEE, P. – GEVAERT, O. – LEWIS, S. – HECTORS, S. – TAOULI, B. Precision of MRI radiomics features in the liver and hepatocellular carcinoma. In EUROPEAN RADIOLOGY. ISSN 0938-7994, MAR 2022, vol. 32, no. 3, p. 2030-2040. https://doi.org/10.1007/s00330-021-08282-1; WOS

3. [1.1] CARRE, A. – BATTISTELLA, E. – NIYOTEKA, S. – SUN, R. – DEUTSCH, E. – ROBERT, C. AutoComBat: a generic method for harmonizing MRI-based radiomic features. In SCIENTIFIC REPORTS. ISSN 2045-2322, JUL 26 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-16609-1; WOS

4. [1.1] GALLIVANONE, F. – D’AMBROSIO, D. – CARNE, I. – D’;ARCANGELO, M. – MONTAGNA, P. – GIROLETTI, E. – POGGI, P. – VELLANI, C. – MORO, L. – CASTIGLIONI, I. A tri-modal tissue-equivalent anthropomorphic phantom for PET, CT and multi-parametric MRI radiomics. In PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS. ISSN 1120-1797, JUN 2022, vol. 98, p. 28-39. https://doi.org/10.1016/j.ejmp.2022.04.007; WOS

5. [1.1] GRANATA, V. – FUSCO, R. – SETOLA, S.V. – SIMONETTI, I. – COZZI, D. – GRAZZINI, G. – GRASSI, F. – BELLI, A. – MIELE, V. – IZZO, F. – PETRILLO, A. An update on radiomics techniques in primary liver cancers. In INFECTIOUS AGENTS AND CANCER. ISSN 1750-9378, MAR 4 2022, vol. 17, no. 1. https://doi.org/10.1186/s13027-022-00422-6; WOS

6. [1.1] HU, K. – DENG, W.Y. – LI, N. – CAI, Q. – YUAN, Z.L. – LI, L. – LIU, Y.L. Impact of Parallel Acquisition Technology on the Robustness of Magnetic Resonance Imaging Radiomic Features. In JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY. ISSN 0363-8715, NOV-DEC 2022, vol. 46, no. 6, p. 906-913. https://doi.org/10.1097/RCT.0000000000001344; WOS

7. [1.1] HUANG, G. – CUI, Y.Q. – WANG, P. – REN, J.L. – WANG, L.L. – MA, Y.Q. – JIA, Y.M. – MA, X.M. – ZHAO, L.P. Multi-Parametric Magnetic Resonance Imaging-Based Radiomics Analysis of Cervical Cancer for Preoperative Prediction of Lymphovascular Space Invasion. In FRONTIERS IN ONCOLOGY. ISSN 2234-943X, JAN 12 2022, vol. 11. https://doi.org/10.3389/fonc.2021.663370; WOS

8. [1.1] KEENAN, K.E. – DELFINO, J.G. – JORDANOVA, K.V. – POORMAN, M.E. – CHIRRA, P. – CHAUDHARI, A.S. – BAESSLER, B. – WINFIELD, J. – VISWANATH, S.E. – DESOUZA, N.M. Challenges in ensuring the generalizability of image quantitation methods for MRI. In MEDICAL PHYSICS. ISSN 0094-2405, APR 2022, vol. 49, no. 4, p. 2820-2835. https://doi.org/10.1002/mp.15195; WOS

9. [1.1] LI, H.X. – LIU, J. – DONG, Z. – CHEN, X.Z. – ZHOU, C.S. – HUANG, C.C. – LI, Y.L. – LIU, Q.H. – SU, X.Q. – CHENG, X.Q. – LU, G.M. Identification of high-risk intracranial plaques with 3D high-resolution magnetic resonance imaging-based radiomics and machine learning. In JOURNAL OF NEUROLOGY. ISSN 0340-5354, DEC 2022, vol. 269, no. 12, p. 6494-6503. https://doi.org/10.1007/s00415-022-11315-4; WOS

10. [1.1] POIROT, M.G. – CAAN, M.W.A. – RUHE, H.G. – BJORNERUD, A. – GROOTE, I. – RENEMAN, L. – MARQUERING, H.A. Robustness of radiomics to variations in segmentation methods in multimodal brain MRI. In SCIENTIFIC REPORTS. ISSN 2045-2322, OCT 6 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-20703-9; WOS

11. [1.1] TARDIEU, M. – LAKHMAN, Y. – KHELLAF, L. – CARDOSO, M. – SGARBURA, O. – COLOMBO, P.E. – CRISPIN-ORTUZAR, M. – SALA, E. – GOZE-BAC, C. – NOUGARET, S. Assessing Histology Structures by Ex Vivo MR Microscopy and Exploring the Link Between MRM-Derived Radiomic Features and Histopathology in Ovarian Cancer. In FRONTIERS IN ONCOLOGY. ISSN 2234-943X, JAN 19 2022, vol. 11. https://doi.org/10.3389/fonc.2021.771848; WOS

12. [1.1] VALLADARES, A. – BEYER, T. – PAPP, L. – SALOMON, E. – RAUSCH, I. A multi-modality physical phantom for mimicking tumor heterogeneity patterns in PET/CT and PET/MRI. In MEDICAL PHYSICS. ISSN 0094-2405, SEP 2022, vol. 49, no. 9, p. 5819-5829. https://doi.org/10.1002/mp.15853; WOS

13. [1.1] VERES, G. – KISS, J. – VAS, N.F. – KALLOS-BALOGH, P. – MATHE, N.B. – LASSEN, M.L. – BERENYI, E. – BALKAY, L. Phantom Study on the Robustness of MR Radiomics Features: Comparing the Applicability of 3D Printed and Biological Phantoms. In DIAGNOSTICS. SEP 2022, vol. 12, no. 9. https://doi.org/10.3390/diagnostics12092196; WOS

 

• MAYERHOEFER, M.E. – SZOMOLÁNYI, Pavol – JIRÁK, D. – MATERKA, A. – TRATTNIG, S. Effects of MRI acquisition parameter variations and protocol heterogeneity on the results of texture analysis and pattern discrimination: An application-oriented study. In Medical Physics, 2009, vol. 36, no. 4, p. 1236-1243. (2008: 3.871 – IF, Q1 – JCR, 0.660 – SJR, Q2 – SJR). (2009 – Current Contents). ISSN 0094-2405. https://doi.org/10.1118/1.3081408

WOS citations: 27; SCOPUS citations: 4; other citations: 1

1. [1.1] AYX, I. – THARMASEELAN, H. – HERTEL, A. – NORENBERG, D. – OVERHOFF, D. – ROTKOPF, L.T. – RIFFEL, P. – SCHOENBERG, S.O. – FROELICH, M.F. Comparison Study of Myocardial Radiomics Feature Properties on Energy-Integrating and Photon-Counting Detector CT. In DIAGNOSTICS. MAY 2022, vol. 12, no. 5. https://doi.org/10.3390/diagnostics12051294; WOS

2. [1.1] AYX, I. – THARMASEELAN, H. – HERTEL, A. – NORENBERG, D. – OVERHOFF, D. – ROTKOPF, L.T. – RIFFEL, P. – SCHOENBERG, S.O. – FROELICH, M.F. Myocardial Radiomics Texture Features Associated with Increased Coronary Calcium Score-First Results of a Photon-Counting CT. In DIAGNOSTICS. JUL 2022, vol. 12, no. 7. https://doi.org/10.3390/diagnostics12071663; WOS

3. [1.1] BAO, J.Y. – FENG, X. – MA, Y. – WANG, Y.Y. – QI, J.N. – QIN, C.Y. – TAN, X. – TIAN, Y.M. The latest application progress of radiomics in prediction and diagnosis of liver diseases. In EXPERT REVIEW OF GASTROENTEROLOGY & HEPATOLOGY. ISSN 1747-4124, AUG 3 2022, vol. 16, no. 8, p. 707-719. https://doi.org/10.1080/17474124.2022.2104711; WOS

4. [1.1] BRABEC, J. – LENNARTSSON, F. Editorial for “Investigation of the Inter- and Intra-Scanner Reproducibility and Repeatability of Radiomics Features in Magnetic Resonance Imaging”. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, NOV 2022, vol. 56, no. 5, p. 1569-1570. https://doi.org/10.1002/jmri.28190; WOS

5. [1.1] CARRE, A. – BATTISTELLA, E. – NIYOTEKA, S. – SUN, R. – DEUTSCH, E. – ROBERT, C. AutoComBat: a generic method for harmonizing MRI-based radiomic features. In SCIENTIFIC REPORTS. ISSN 2045-2322, JUL 26 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-16609-1; WOS

6. [1.1] COBBINAH, B.M. – SORG, C. – YANG, Q.L. – TERNBLOM, A. – ZHENG, C.G. – HAN, W. – CHE, L.W. – SHAO, J.M. Reducing variations in multi-center Alzheimer’;s disease classification with convolutional adversarial autoencoder. In MEDICAL IMAGE ANALYSIS. ISSN 1361-8415, NOV 2022, vol. 82. https://doi.org/10.1016/j.media.2022.102585; WOS

7. [1.1] CUI, Y.F. – YIN, F.F. Impact of image quality on radiomics applications. In PHYSICS IN MEDICINE AND BIOLOGY. ISSN 0031-9155, AUG 7 2022, vol. 67, no. 15. https://doi.org/10.1088/1361-6560/ac7fd7; WOS

8. [1.1] DE LA PINTA, C. Radiomics in pancreatic cancer for oncologist: Present and future. In HEPATOBILIARY & PANCREATIC DISEASES INTERNATIONAL, 2022, vol. 21, no. 4, p. 356-361. ISSN 1499-3872. https://doi.org/10.1016/j.hbpd.2021.12.006; WOS

9. [1.1] DE LA PINTA, C. Radiomics in pancreatic cancer for oncologist: Present and future. In HEPATOBILIARY & PANCREATIC DISEASES INTERNATIONAL. ISSN 1499-3872, AUG 2022, vol. 21, no. 4, p. 356-361. https://doi.org/10.1016/j.hbpd.2021.12.006; WOS

10. [1.1] GAO, J. – ZHONG, X. – LI, W.J. – LI, Q. – SHAO, H.F. – WANG, Z.Y. – DAI, Y. – MA, H. – SHI, Y.H. – ZHANG, H. – DUAN, S.F. – ZHANG, K. – YANG, P. – ZHAO, F. – ZHANG, H.C. – XIE, H.Z. – MAO, N. Attention-based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE-MRI. In JOURNAL OF MAGNETIC RESONANCE IMAGING. 2022, ISSN 1053-1807. https://doi.org/10.1002/jmri.28464; WOS

11. [1.1] GHALATI, M.K. – NUNES, A. – FERREIRA, H. – SERRANHO, P. – BERNARDES, R. Texture Analysis and Its Applications in Biomedical Imaging: A Survey. In IEEE REVIEWS IN BIOMEDICAL ENGINEERING, 2022, vol. 15, p. 222-246. ISSN 1937-3333. https://doi.org/10.1109/RBME.2021.3115703; WOS

12. [1.1] MADHOGARHIA, R. – HALDAR, D. – BAGHERI, S. – FAMILIAR, A. – ANDERSON, H. – ARIF, S. – VOSSOUGH, A. – STORM, P. – RESNICK, A. – DAVATZIKOS, C. – KAZEROONI, A.F. – NABAVIZADEH, A. Radiomics and radiogenomics in pediatric neuro-oncology: A review. In NEURO-ONCOLOGY ADVANCES. JAN 1 2022, vol. 4, no. 1. https://doi.org/10.1093/noajnl/vdac083; WOS

13. [1.1] PAUDYAL, R. – DEASY, J.O. – SHUKLA-DAVE, A. Editorial for “Differences in Radiomics Signatures Between Patients with Early and Advanced T-Stage Nasopharyngeal Carcinoma Facilitate Prognostication”. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, JUL 2022, vol. 56, no. 1, p. 221-222. https://doi.org/10.1002/jmri.27882; WOS

14. [1.1] PRABHU, V. – GILLINGHAM, N. – BABB, J.S. – MALI, R.D. – RUSINEK, H. – BRUNO, M.T. – CHANDARANA, H. Repeatability, robustness, and reproducibility of texture features on 3 Tesla liver MRI. In CLINICAL IMAGING. ISSN 0899-7071, MAR 2022, vol. 83, p. 177-183. https://doi.org/10.1016/j.clinimag.2022.01.002; WOS

15. [1.1] RAI, R. – BARTON, M.B. – CHLAP, P. – LINEY, G. – BRINK, C. – VINOD, S. – HEINKE, M. – TRADA, Y. – HOLLOWAY, L.C. Repeatability and reproducibility of magnetic resonance imaging-based radiomic features in rectal cancer. In JOURNAL OF MEDICAL IMAGING. ISSN 2329-4302, JUL 1 2022, vol. 9, no. 4. https://doi.org/10.1117/1.JMI.9.4.044005; WOS

16. [1.1] SAJU, A.C. – CHATTERJEE, A. – SAHU, A. – GUPTA, T. – KRISHNATRY, R. – MOKAL, S. – SAHAY, A. – EPARI, S. – PRASAD, M. – CHINNASWAMY, G. – AGARWAL, J.P. – GODA, J.S. Machine-learning approach to predict molecular subgroups of medulloblastoma using multiparametric MRI-based tumor radiomics. In BRITISH JOURNAL OF RADIOLOGY. ISSN 0007-1285, 2022, vol. 95, no. 1134. https://doi.org/10.1259/bjr.20211359; WOS

17. [1.1] SALTYBAEVA, N. – TANADINI-LANG, S. – VUONG, D. – BURGERMEISTER, S. – MAYINGER, M. – BINK, A. – ANDRATSCHKE, N. – GUCKENBERGER, M. – BOGOWICZ, M. Robustness of radiomic features in magnetic resonance imaging for patients with glioblastoma: Multi-center study. In PHYSICS & IMAGING IN RADIATION ONCOLOGY. APR 2022, vol. 22, p. 131-136. https://doi.org/10.1016/j.phro.2022.05.006; WOS

18. [1.1] SCALCO, E. – RIZZO, G. – MASTROPIETRO, A. The stability of oncologic MRI radiomic features and the potential role of deep learning: a review. In PHYSICS IN MEDICINE AND BIOLOGY. ISSN 0031-9155, MAY 7 2022, vol. 67, no. 9. https://doi.org/10.1088/1361-6560/ac60b9; WOS

19. [1.1] SHARMA, M. – WYSZKIEWICZ, P.V. – DESAIGOUDAR, V. – GUO, F.M. – CAPALDI, D.P.I. – PARRAGA, G. Quantification of pulmonary functional MRI: state-of-the-art and emerging image processing methods and measurements. In PHYSICS IN MEDICINE AND BIOLOGY. ISSN 0031-9155, NOV 21 2022, vol. 67, no. 22. https://doi.org/10.1088/1361-6560/ac9510; WOS

20. [1.1] SIMPSON, G. – JIN, W. – SPIELER, B. – PORTELANCE, L. – MELLON, E. – KWON, D. – FORD, J.C. – DOGAN, N. Predictive Value of Delta-Radiomics Texture Features in 0.35 Tesla Magnetic Resonance Setup Images Acquired During Stereotactic Ablative Radiotherapy of Pancreatic Cancer. In FRONTIERS IN ONCOLOGY. ISSN 2234-943X, APR 19 2022, vol. 12. https://doi.org/10.3389/fonc.2022.807725; WOS

21. [1.1] STRZELECKI, M. – PIORKOWSKI, A. – OBUCHOWICZ, R. Effect of Matrix Size Reduction on Textural Information in Clinical Magnetic Resonance Imaging. In JOURNAL OF CLINICAL MEDICINE. MAY 2022, vol. 11, no. 9. https://doi.org/10.3390/jcm11092526; WOS

22. [1.1] THARMASEELAN, H. – FROELICH, M.F. – NORENBERG, D. – OVERHOFF, D. – ROTKOPF, L.T. – RIFFEL, P. – SCHOENBERG, S.O. – AYX, I. Influence of local aortic calcification on periaortic adipose tissue radiomics texture features-a primary analysis on PCCT. In INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING. ISSN 1569-5794, NOV 2022, vol. 38, no. 11, p. 2459-2467. https://doi.org/10.1007/s10554-022-02656-2; WOS

23. [1.1] VALLADARES, A. – BEYER, T. – PAPP, L. – SALOMON, E. – RAUSCH, I. A multi-modality physical phantom for mimicking tumor heterogeneity patterns in PET/CT and PET/MRI. In MEDICAL PHYSICS. ISSN 0094-2405, SEP 2022, vol. 49, no. 9, p. 5819-5829. https://doi.org/10.1002/mp.15853; WOS

24. [1.1] VERES, G. – KISS, J. – VAS, N.F. – KALLOS-BALOGH, P. – MATHE, N.B. – LASSEN, M.L. – BERENYI, E. – BALKAY, L. Phantom Study on the Robustness of MR Radiomics Features: Comparing the Applicability of 3D Printed and Biological Phantoms. In DIAGNOSTICS. SEP 2022, vol. 12, no. 9. https://doi.org/10.3390/diagnostics12092196; WOS

25. [1.1] ZHANG, L.Y. – WANG, Y.M. – PENG, Z.Y. – WENG, Y.X. – FANG, Z.B. – XIAO, F. – ZHANG, C. – FAN, Z.X. – HUANG, K.Y. – ZHU, Y. – WEIHONG, J.H. – JIAN, S. – ZHAN, R.Y. The progress of multimodal imaging combination and subregion based radiomics research of cancers. In INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES. ISSN 1449-2288, 2022, vol. 18, no. 8, p. 3458-3469. https://doi.org/10.7150/ijbs.71046; WOS

26. [1.1] ZHANG, S.Y. – YU, M.R. – CHEN, D. – LI, P.D. – TANG, B. – LI, J. Role of MRI-based radiomics in locally advanced rectal cancer. In ONCOLOGY REPORTS. ISSN 1021-335X, FEB 2022, vol. 47, no. 2. https://doi.org/10.3892/or.2021.8245; WOS

27. [1.1] ZHANG, X.Y. – SONG, X.Y. – LI, G.J. – DUAN, L. – WANG, G.Y. – DAI, G.Y. – SONG, Y. – LI, J. – BAI, S. Machine Learning Radiomics Model for External and Internal Respiratory Motion Correlation Prediction in Lung Tumor. In TECHNOLOGY IN CANCER RESEARCH & TREATMENT. ISSN 1533-0346, 2022, vol. 21. https://doi.org/10.1177/15330338221143224; WOS

28. [1.2] EHRET, F. – KAUL, D. – CLUSMANN, H. – DELEV, D. – KERNBACH, J.M. Machine Learning-Based Radiomics in Neuro-Oncology. In ACTA NEUROCHIRURGICA, Supplementum, 2022, vol. 134, p. 139-151. ISSN 0065-1419. https://doi.org/10.1007/978-3-030-85292-4_18; SCOPUS

29. [1.2] LIU, J. – JIANG, J. – YIN, J. – ZHANG, Y. – XUE, Y. – CUI, L. Value of Multimodal MR Radiomics in Differential Diagnosis of Benign and Malignant Pulmonary Nodules and Masses. In CHINESE JOURNAL OF RADIOLOGY (CHINA), 2022, vol. 56, no. 5, p. 542-548. ISSN 1005-1201. https://doi.org/10.3760/cma.j.cn112149-20210401-00313; SCOPUS

30. [1.2] MITCHELL, D. – BUSZEK, S. – TRAN, B. – FARHAT, M. – GOLDMAN, J. – ERICKSON, L. – CURL, B. – SUKI, D. – FERGUSON, S.D. – LIU, H.L. – KUNDU, S. – CHUNG, C. Managing the effect of magnetic resonance imaging pulse sequence on radiomic feature reproducibility in the study of brain metastases. In F1000RESEARCH, 2022, vol. 11, p. ISSN 2046-1402. https://doi.org/10.12688/f1000research.122871.1; SCOPUS

31. [1.2] PAUDYAL, R. – DEASY, J.O. – SHUKLA-DAVE, A. Editorial for “Differences in Radiomics Signatures Between Patients with Early and Advanced T-Stage Nasopharyngeal Carcinoma Facilitate Prognostication”. In JOURNAL OF MAGNETIC RESONANCE IMAGING, 2022, vol. 56, no. 1, p. 221-222. ISSN 1053-1807. https://doi.org/10.1002/jmri.27882; SCOPUS

32. [3.1] MASHAK, N.P. – AKBARIZADEH, G. – FARSHIDI, E. Classification of prostate cancer using Deep Learning approach and MobileNetV2 architecture. In RESEARCH SQUARE, 2022, https://doi.org/10.21203/rs.3.rs-1964155/v1.

 

• MAYR, A. – JAHN, P. – STANKEWITZ, A. – DEAK, B. – WINKLER, A. – WITKOVSKÝ, Viktor – EREN, O. – STRAUBE, A. – SCHULZ, E. Patients with chronic pain exhibit individually unique cortical signatures of pain encoding. In Human Brain Mapping, 2022, vol. 43, no. 5, p. 1676-1693. (2021: 5.399 – IF, Q1 – JCR, 1.719 – SJR, Q1 – SJR). (2022 – Current Contents). ISSN 1065-9471. https://doi.org/10.1002/hbm.25750

WOS citations: 5; SCOPUS citations: 1

1. [1.1] CHAE, Y. – PARK, H.J. – LEE, I.S. Pain modalities in the body and brain: Current knowledge and future perspectives. In NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS. ISSN 0149-7634, AUG 2022, vol. 139; WOS

2. [1.1] GE, X.H. – WANG, L.Y. – PAN, L. – YE, H.Q. – ZHU, X.F. – FAN, S. – FENG, Q. – YU, W.H. – DING, Z.X. Amplitude of low-frequency fluctuation after a single-trigger pain in patients with classical trigeminal neuralgia. In JOURNAL OF HEADACHE AND PAIN. ISSN 1129-2369, DEC 2022, vol. 23, no. 1; WOS

3. [1.1] HAZRA, S. – HANDA, G. – NAYAK, P. – SAHU, S. – SARKAR, K. – VENKATARAMAN, S. A Dysfunctional Descending Pain Modulation System in Chronic Nonspecific Low Back Pain: A Systematic Review and ALE Meta-Analysis. In NEUROLOGY INDIA. ISSN 0028-3886, JUL-AUG 2022, vol. 70, no. 4, p. 1344-1360. https://doi.org/10.4103/0028-3886.355137; WOS

4. [1.1] LI, Z.H. – ZHAO, L.L. – JI, J. – MA, B. – ZHAO, Z.Y. – WU, M. – ZHENG, W.H. – ZHANG, Z. Temporal Grading Index of Functional Network Topology Predicts Pain Perception of Patients With Chronic Back Pain. In FRONTIERS IN NEUROLOGY. ISSN 1664-2295, JUN 10 2022, vol. 13; WOS

5. [1.1] YU, Z. – WANG, R.R. – WEI, W. – LIU, L.Y. – WEN, C.B. – YU, S.G. – GUO, X.L. – YANG, J. A coordinate-based meta-analysis of acupuncture for chronic pain: Evidence from fMRI studies. In FRONTIERS IN NEUROSCIENCE. DEC 14 2022, vol. 16. https://doi.org/10.3389/fnins.2022.1049887; WOS

6. [1.2] MASCHKE, M. – DIENER, H.C. Chronic back pain. In NEUROLOGIE UP2DATE, 2022, vol. 5, no. 4, p. 361-376. ISSN 2511-3453. https://doi.org/10.1055/a-1716-7722; SCOPUS

 

• MEYERSPEER, M. – BOESCH, Ch. – CAMERON, D. – DEZORTOVÁ, M. – FORBES, S.C. – HEERSCHAP, A. – JENESON, J.A.L. – KAN, H.E. – KENT, J. – LAYEC, G. – PROMPERS, J.J. – REYNGOUDT, H. – SLEIGH, A. – VALKOVIČ, Ladislav – KEMP, G.J. P-31 magnetic resonance spectroscopy in skeletal muscle: Experts’; consensus recommendations. In NMR in Biomedicine, 2021, vol. 34, no. 5, e4246. (2020: 4.044 – IF, Q1 – JCR, 1.278 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 0952-3480. https://doi.org/10.1002/nbm.4246

WOS citations: 15; SCOPUS citations: 3; other citations: 1

1. [1.1] BARAKATI, N. – BUSTOS, R.Z. – COLETTA, D.K. – LANGLAIS, P.R. – KOHLER, L.N. – LUO, M.L. – FUNK, J.L. – WILLIS, W.T. – MANDARINO, L.J. Fuel Selection in Skeletal Muscle Exercising at Low Intensity; Reliance on Carbohydrate in Very Sedentary Individuals. In METABOLIC SYNDROME AND RELATED DISORDERS, 2022. ISSN 1540-4196. https://doi.org/10.1089/met.2022.0062; WOS

2. [1.1] CARRELL, T. – GU, M.Y. – BOSSHARD, J.C. – SUN, C.H. – MCDOUGALL, M.P. – WRIGHT, S.M. Assessing the Feasibility of Dynamic P-31 Spectroscopy for Metabolic Studies With a 1.0T Extremity Scanner. In IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. ISSN 0018-9294, JUN 2022, vol. 69, no. 6, p. 1975-1982. https://doi.org/10.1109/TBME.2021.3132252; WOS

3. [1.1] DORST, J. – BORBATH, T. – RUHM, L. – HENNING, A. Phosphorus transversal relaxation times and metabolite concentrations in the human brain at 9.4 T. In NMR IN BIOMEDICINE. ISSN 0952-3480, OCT 2022, vol. 35, no. 10. https://doi.org/10.1002/nbm.4776; WOS

4. [1.1] ELLIS, C. – BURNS, D. All about oxygen: using near-infrared spectroscopy to understand bioenergetics. In ADVANCES IN PHYSIOLOGY EDUCATION. ISSN 1043-4046, DEC 2022, vol. 46, no. 4, p. 685-692. https://doi.org/10.1152/advan.00106.2022; WOS

5. [1.1] FRANKE, V.L. – BREITLING, J. – LADD, M.E. – BACHERT, P. – KORZOWSKI, A. P-31 MRSI at 7 T enables high-resolution volumetric mapping of the intracellular magnesium ion content in human lower leg muscles. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, AUG 2022, vol. 88, no. 2, p. 511-523. https://doi.org/10.1002/mrm.29231; WOS

6. [1.1] GARIBALDI, M. – NICOLETTI, T. – BUCCI, E. – FIONDA, L. – LEONARDI, L. – MORINO, S. – TUFANO, L. – ALFIERI, G. – LAULETTA, A. – MERLONGHI, G. – PERNA, A. – ROSSI, S. – RICCI, E. – PEREZ, J.A. – TARTAGLIONE, T. – PETRUCCI, A. – PENNISI, E.M. – SALVETTI, M. – CUTTER, G. – DIAZ-MANERA, J. – SILVESTRI, G. – ANTONINI, G. Muscle magnetic resonance imaging in myotonic dystrophy type 1 (DM1): Refining muscle involvement and implications for clinical trials. In EUROPEAN JOURNAL OF NEUROLOGY, 2022, vol. 29, no. 3, p. 843-854. ISSN 1351-5101. https://doi.org/10.1111/ene.15174; WOS

7. [1.1] GRUNDLER, F. – VIALLON, M. – MESNAGE, R. – RUSCICA, M. – VON SCHACKY, C. – MADEO, F. – HOFER, S.J. – MITCHELL, S.J. – CROISILLE, P. – DE TOLEDO, F.W. Long-term fasting: Multi-system adaptations in humans (GENESIS) study-A single-arm interventional trial. In FRONTIERS IN NUTRITION. ISSN 2296-861X, NOV 17 2022, vol. 9. https://doi.org/10.3389/fnut.2022.951000; WOS

8. [1.1] HABETS, L.E. – BARTELS, B. – ASSELMAN, F.L. – HOOIJMANS, M.T. – VAN DEN BERG, S. – NEDERVEEN, A.J. – VAN DER POL, W.L. – JENESON, J.A.L. Magnetic resonance reveals mitochondrial dysfunction and muscle remodelling in spinal muscular atrophy. In BRAIN. ISSN 0006-8950, MAR 24 2022, vol. 145, no. 4, p. 1422-1435. https://doi.org/10.1093/brain/awab411; WOS

9. [1.1] KRACIKOVA, L. – ZIOLKOWSKA, N. – ANDROVIC, L. – KLIMANKOVA, I. – CERVENY, D. – VIT, M. – POMPACH, P. – KONEFAL, R. – JANOUSKOVA, O. – HRUBY, M. – JIRAK, D. – LAGA, R. Phosphorus-Containing Polymeric Zwitterion: A Pioneering Bioresponsive Probe for P-31-Magnetic Resonance Imaging. In MACROMOLECULAR BIOSCIENCE. ISSN 1616-5187, MAY 2022, vol. 22, no. 5. https://doi.org/10.1002/mabi.202100523; WOS

10. [1.1] NIJHOLT, K.T. – SANCHEZ-AGUILERA, P.I. – VOORRIPS, S.N. – DE BOER, R.A. – WESTENBRINK, B.D. Exercise: a molecular tool to boost muscle growth and mitochondrial performance in heart failure?. In EUROPEAN JOURNAL OF HEART FAILURE. ISSN 1388-9842, FEB 2022, vol. 24, no. 2, p. 287-298. https://doi.org/10.1002/ejhf.2407; WOS

11. [1.1] OBERDIER, M.T. – ALGHATRIF, M. – ADELNIA, F. – ZAMPINO, M. – MORRELL, C.H. – SIMONSICK, E. – FISHBEIN, K. – LAKATTA, E.G. – MCDERMOTT, M.M. – FERRUCCI, L. Ankle-Brachial Index and Energy Production in People Without Peripheral Artery Disease: The BLSA. In JOURNAL OF THE AMERICAN HEART ASSOCIATION. MAR 15 2022, vol. 11, no. 6. https://doi.org/10.1161/JAHA.120.019014; WOS

12. [1.1] PROCTOR, D.N. – NEELY, K.A. – MOOKERJEE, S. – TUCKER, J. – SOMANI, Y.B.B. – FLANAGAN, M. – KIM-SHAPIRO, D.B.B. – BASU, S. – MULLER, M.D.D. – KIM, D.J.K. Inorganic nitrate supplementation and blood flow restricted exercise tolerance in post-menopausal women. In NITRIC OXIDE-BIOLOGY AND CHEMISTRY. ISSN 1089-8603, MAY 1 2022, vol. 122, p. 26-34. https://doi.org/10.1016/j.niox.2022.02.004; WOS

13. [1.1] TIAN, Q. – MITCHELL, B.A. – ZAMPINO, M. – FERRUCCI, L. Longitudinal associations between blood lysophosphatidylcholines and skeletal muscle mitochondrial function. In GEROSCIENCE. ISSN 2509-2715, AUG 2022, vol. 44, no. 4, SI, p. 2213-2221. https://doi.org/10.1007/s11357-022-00548-w; WOS

14. [1.1] VAN DEN WYNGAERT, T. – DE SCHEPPER, S. – ELVAS, F. – SEYEDINIA, S.S. – BEHESHTI, M. Positron emission tomography-magnetic resonance imaging as a research tool in musculoskeletal conditions. In QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. ISSN 1824-4785, MAR 2022, vol. 66, no. 1, p. 15-30. https://doi.org/10.23736/S1824-4785.22.03434-3; WOS

15. [1.1] YURISTA, S.R. – EDER, R.A. – KWON, D.H. – FARRAR, C.T. – YEN, Y.F. – TANG, W.H.W. – NGUYEN, C.T. Magnetic resonance imaging of cardiac metabolism in heart failure: how far have we come?. In EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING. ISSN 2047-2404, SEP 10 2022, vol. 23, no. 10, p. 1277-1289. https://doi.org/10.1093/ehjci/jeac121; WOS

16. [1.2] JETT, S. – DYKE, J.P. – ANDY, C. – SCHELBAUM, E. – JANG, G. – BONEU YEPEZ, C. – PAHLAJANI, S. – DIAZ, I. – DIAZ BRINTON, R. – MOSCONI, L. Sex and menopause impact sup31/supP-Magnetic Resonance Spectroscopy brain mitochondrial function in association with sup11/supC-PiB PET amyloid-beta load. In SCIENTIFIC REPORTS, 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-26573-5; SCOPUS

17. [1.2] LEWIS, M.T. – LEVITSKY, Y. – BAZIL, J.N. – WISEMAN, R.W. Measuring Mitochondrial Function: From Organelle to Organism. In METHODS IN MOLECULAR BIOLOGY, 2022, vol. 2497, p. 141-172. ISSN 1064-3745. https://doi.org/10.1007/978-1-0716-2309-1_10; SCOPUS

18. [1.2] PARASOGLOU, P. – OSORIO, R.S. – KHEGAI, O. – KOVBASYUK, Z. – MILLER, M. – HO, A. – DEHKHARGHANI, S. – WISNIEWSKI, T. – CONVIT, A. – MOSCONI, L. – BROWN, R. Phosphorus metabolism in the brain of cognitively normal midlife individuals at risk for Alzheimer’s disease. In NEUROIMAGE: REPORTS, 2022, vol. 2, no. 4. https://doi.org/10.1016/j.ynirp.2022.100121; SCOPUS

19. [3.1] JETT, S. – DYKE, J. – ANDY, C. – SCHELBAUM, E. – JANG, G. – YEPEZ, C.B. – PAHLAJANI, S. – DÍAZ, I. – BRINTON, R.D. – MOSCONI, L. Sex, menopause, and Alzheimer’s risk: a 31P-MR spectroscopy study of brain mitochondrial function in association with 11C-PiB PET amyloid-beta load. In RESEARCH SQUARE, 2022, https://doi.org/10.21203/rs.3.rs-1723651/v1.

 

• ŠUŠMÁKOVÁ, Kristína – KRAKOVSKÁ, Anna. Discrimination ability of individual measures used in sleep stages classification. In Artificial Intelligence in Medicine, 2008, vol. 44, p. 261-277. (2007: 1.825 – IF, Q1 – JCR, 0.993 – SJR, Q1 – SJR). (2008 – Current Contents). ISSN 0933-3657. https://doi.org/10.1016/j.artmed.2008.07.005

WOS citations: 7; SCOPUS citations: 4; other citations: 1

1. [1.1] BABU, V.S. – VAIDYA, A.S. An In-depth Analysis of Automatic Sleep Stage Categorization. In INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY. ISSN 1738-7906, SEP 30 2022, vol. 22, no. 9, p. 816-826. https://doi.org/10.22937/IJCSNS.2022.22.9.106; WOS

2. [1.1] IRECHICHI, I. – AMATO, F. – CICOLIN, A. – OLMO, G. Single-Channel EEG Detection of REM Sleep Behaviour Disorder: The Influence of REM and Slow Wave Sleep. In BIOINFORMATICS AND BIOMEDICAL ENGINEERING, PT I. ISSN 0302-9743, 2022, p. 381-394. https://doi.org/10.1007/978-3-031-07704-3_31; WOS

3. [1.1] KISELEV, A.R. – DRAPKINA, O.M. – NOVIKOV, M.Y. – PANINA, O.S. – CHERNENKOV, Y.V. – ZHURAVLEV, M.O. – RUNNOVA, A.E. Examining time-frequency mechanisms of full-fledged deep sleep development in newborns of different gestational age in the first days of their postnatal development. In SCIENTIFIC REPORTS. ISSN 2045-2322, DEC 14 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-26111-3; WOS

4. [1.1] KUO, C.E. – LU, T.H. – CHEN, G.T. – LIAO, P.Y. Towards precision sleep medicine: Self-attention GAN as an innovative data augmentation technique for developing personalized automatic sleep scoring classification. In COMPUTERS IN BIOLOGY AND MEDICINE. ISSN 0010-4825, SEP 2022, vol. 148. https://doi.org/10.1016/j.compbiomed.2022.105828; WOS

5. [1.1] MEHRABBEIK, M. – SHAMS-AHMAR, M. – LEVINE, A.T. – JAFARI, S. – MERRIKHI, Y. Distinctive nonlinear dimensionality of neural spiking activity in extrastriate cortex during spatial working memory; a Higuchi fractal analysis. In CHAOS SOLITONS & FRACTALS. ISSN 0960-0779, MAY 2022, vol. 158. https://doi.org/10.1016/j.chaos.2022.112051; WOS

6. [1.1] YOU, Y.Y. – ZHONG, X.Y. – LIU, G.Z. – YANG, Z.H. Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features. In ARTIFICIAL INTELLIGENCE IN MEDICINE. ISSN 0933-3657, MAY 2022, vol. 127. https://doi.org/10.1016/j.artmed.2022.102279; WOS

7. [1.1] ZHOU, D.D. – WANG, J. – HU, G.Q. – ZHANG, J.C. – LI, F. – YAN, R. – KETTUNEN, L. – CHANG, Z. – XU, Q. – CONG, F.Y. SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, MAY 2022, vol. 75. https://doi.org/10.1016/j.bspc.2022.103592; WOS

8. [1.2] FAN, X. – KANG, T. – LUO, R. – LAI, D. Two-Dimensional Deep Learning Based Classification of Sleep Stages with Time-Frequency Maps of Single-Lead EEG Segment. In 2022 3RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION AND MACHINE LEARNING, 2022, p. 211-215. https://doi.org/10.1109/PRML56267.2022.9882257; SCOPUS

9. [1.2] KHARE, S.K. – BAJAJ, V. – TARAN, S. – SINHA, G.R. Multiclass sleep stage classification using artificial intelligence based time-frequency distribution and CNN. In ARTIFICIAL INTELLIGENCE-BASED BRAIN-COMPUTER INTERFACE, 2022, p. 1-21. https://doi.org/10.1016/B978-0-323-91197-9.00012-6; SCOPUS

10. [1.2] WOO, S.W. – KANG, M.K. – PARK, B.J. – HONG, K.S. Sleep stage classification using electroencephalography via Mel frequency cepstral coefficients. In 2022 13TH ASIAN CONTROL CONFERENCE, 2022, p. 42-47. https://doi.org/10.23919/ASCC56756.2022.9828340; SCOPUS

11. [1.2] ZHURAVLEV, M.O. – AGALTSOV, M.V. – RUNNOVA, A.E. The Use of Wavelet Analysis for the Diagnosis of Obstructive Sleep Apnea Syndrome. In 2022 INTERNATIONAL CONFERENCE “QUALITY MANAGEMENT, TRANSPORT AND INFORMATION SECURITY, INFORMATION TECHNOLOGIES”, 2022, p. 348-351. https://doi.org/10.1109/ITQMIS56172.2022.9976671; SCOPUS

12. [3.1] LABRADA, A. – FEBLES, E.S. – ANTELO, J.M. Comparison of Automatic Sleep Stage Classification Methods for Clinical Use. In GLOBAL CLINICAL ENGINEERING JOURNAL, 2022, vol. 5, no. 1, p. 8–17. https://doi.org/10.31354/globalce.v5i1.125

 

• MEZEIOVÁ, Kristína – PALUŠ, M. Comparison of coherence and phase synchronization of the human sleep electroencephalogram. In Clinical Neurophysiology, 2012, vol. 123, no. 9, p. 1821-1830. (2011: 3.406 – IF, Q1 – JCR, 1.717 – SJR, Q1 – SJR). (2012 – Current Contents). ISSN 1388-2457. https://doi.org/10.1016/j.clinph.2012.01.016

WOS citations: 4

1. [1.1] CHUNG, Y.G. – JEON, Y. – KIM, R.G. – CHO, A. – KIM, H. – HWANG, H. – CHOI, J. – KIM, K.J. Variations of Resting-State EEG-Based Functional Networks in Brain Maturation From Early Childhood to Adolescence. In JOURNAL OF CLINICAL NEUROLOGY. ISSN 1738-6586, SEP 2022, vol. 18, no. 5, p. 581-593. https://doi.org/10.3988/jcn.2022.18.5.581; WOS

2. [1.1] MIASNIKOVA, A. – FRANZ, E.A. Brain dynamics in alpha and beta frequencies underlies response activation during readiness of goal-directed hand movement. In NEUROSCIENCE RESEARCH. ISSN 0168-0102, JUL 2022, vol. 180, p. 36-47. https://doi.org/10.1016/j.neures.2022.03.004; WOS

3. [1.1] PATTNAIK, S. – DHALIWAL, B.S. – PATTNAIK, S.S. Mobile Phone Radiations Effect on the Synchronization Between Heart and Brain. In WIRELESS PERSONAL COMMUNICATIONS. ISSN 0929-6212, JUN 2022, vol. 124, no. 4, p. 3205-3234. https://doi.org/10.1007/s11277-022-09509-0; WOS

4. [1.1] VLACHOS, I. – KUGIUMTZIS, D. – TSALIKAKIS, D.G. – KIMISKIDIS, V.K. TMS-induced brain connectivity modulation in Genetic Generalized Epilepsy. In CLINICAL NEUROPHYSIOLOGY. ISSN 1388-2457, JAN 2022, vol. 133, p. 83-93. https://doi.org/10.1016/j.clinph.2021.10.011; WOS

 

• MIČUROVÁ, A. – KLUKNAVSKÝ, M. – LÍŠKOVÁ, S. – BALIŠ, P. – ŠKRÁTEK, Martin – OKRUHLICOVÁ, Ľ. – MAŇKA, Ján – BERNÁTOVÁ, I. Differences in distribution and biological effects of F3O4@PEG nanoparticles in normotensive and hypertensive rats—focus on vascular function and liver. In Biomedicines, 2021, vol. 9, no. 12, art. no. 1855. (2020: 6.081 – IF, Q1 – JCR, 1.511 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 2227-9059. https://doi.org/10.3390/biomedicines9121855

WOS citations: 1

1. [1.1] FENG, X.T. – SONG, H. – ZHANG, T.H. – YAO, S. – WANG, Y. Magnetic Technologies and Green Solvents in Extraction and Separation of Bioactive Molecules Together with Biochemical Objects: Current Opportunities and Challenges. In SEPARATIONS. NOV 2022, vol. 9, no. 11. https://doi.org/10.3390/separations9110346; WOS

 

• MILLER, J.J. – VALKOVIČ, Ladislav – KERR, M. – TIMM, K.N. – WATSON, W.D. – LAU, J.Y.C. – TYLER, A. – RODGERS, C. – BOTTOMLEY, P.A. – HEATHER, L.C. – TYLER, D.J. Rapid, B1-insensitive, dual-band quasi-adiabatic saturation transfer with optimal control for complete quantification of myocardial ATP flux. In Magnetic Resonance in Medicine, 2021, vol. 85, no. 6, p. 2978-2991. (2020: 4.668 – IF, Q1 – JCR, 1.696 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 0740-3194. https://doi.org/10.1002/mrm.28647

SCOPUS citations: 1

1. [1.2] GUPTA, A. Cardiac sup31/supP MR spectroscopy: development of the past five decades and future vision—will it be of diagnostic use in clinics? In HEART FAILURE REVIEWS, 2022. ISSN 1382-4147. https://doi.org/10.1007/s10741-022-10287-x; SCOPUS

 

• MINARIKOVA, L. – BOGNER, W. – PINKER, K. – VALKOVIČ, Ladislav – ZARIC, O. – BAGO-HORVATH, Z. – BARTSCH, R. – HELBICH, T. – TRATTNIG, S. – GRUBER, S. Investigating the prediction value of multiparametric magnetic resonance imaging at 3 T in response to neoadjuvant chemotherapy in breast cancer. In European Radiology, 2017, vol. 27, no. 5, p. 1901-1911. (2016: 3.967 – IF, Q1 – JCR, 1.943 – SJR, Q1 – SJR). (2017 – Current Contents). ISSN 0938-7994. https://doi.org/10.1007/s00330-016-4565-2

WOS citations: 12; SCOPUS citations: 2; other citations: 1

1. [1.1] DU, S.Y. – GAO, S. – ZHAO, R.M. – LIU, H.B. – WANG, Y. – QI, X.X. – LI, S. – CAO, J.B. – ZHANG, L.N. Contrast-free MRI quantitative parameters for early prediction of pathological response to neoadjuvant chemotherapy in breast cancer. In EUROPEAN RADIOLOGY. ISSN 0938-7994, AUG 2022, vol. 32, no. 8, p. 5759-5772. https://doi.org/10.1007/s00330-022-08667-w; WOS

2. [1.1] GALATI, F. – MOFFA, G. – PEDICONI, F. Breast imaging: Beyond the detection. In EUROPEAN JOURNAL OF RADIOLOGY. ISSN 0720-048X, JAN 2022, vol. 146. https://doi.org/10.1016/j.ejrad.2021.110051; WOS

3. [1.1] GENG, X.C. – ZHANG, D.D. – SUO, S.T. – CHEN, J. – CHENG, F. – ZHANG, K.B. – ZHANG, Q. – LI, L. – LU, Y. – HUA, J. – ZHUANG, Z.G. Using the apparent diffusion coefficient histogram analysis to predict response to neoadjuvant chemotherapy in patients with breast cancer: comparison among three region of interest selection methods. In ANNALS OF TRANSLATIONAL MEDICINE. ISSN 2305-5839, MAR 2022, vol. 10, no. 6. https://doi.org/10.21037/atm-22-1078; WOS

4. [1.1] GUO, L.C. – DU, S.Y. – GAO, S. – ZHAO, R.M. – HUANG, G.L. – JIN, F. – TENG, Y.E. – ZHANG, L.N. Delta-Radiomics Based on Dynamic Contrast-Enhanced MRI Predicts Pathologic Complete Response in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy. In CANCERS. JUL 2022, vol. 14, no. 14. https://doi.org/10.3390/cancers14143515; WOS

5. [1.1] HOTTAT, N.A. – BADR, D.A. – LECOMTE, S. – BESSE-HAMMER, T. – JANI, J.C. – CANNIE, M.M. Value of diffusion-weighted MRI in predicting early response to neoadjuvant chemotherapy of breast cancer: comparison between ROI-ADC and whole-lesion-ADC measurements. In EUROPEAN RADIOLOGY. ISSN 0938-7994, JUN 2022, vol. 32, no. 6, p. 4067-4078. https://doi.org/10.1007/s00330-021-08462-z; WOS

6. [1.1] KONG, X.S. – ZHANG, Q. – WU, X.M. – ZOU, T.N. – DUAN, J.J. – SONG, S.J. – NIE, J.Y. – TAO, C. – TANG, M. – WANG, M.H. – ZOU, J.Y. – XIE, Y. – LI, Z.H. – LI, Z. Advances in Imaging in Evaluating the Efficacy of Neoadjuvant Chemotherapy for Breast Cancer. In FRONTIERS IN ONCOLOGY. ISSN 2234-943X, MAY 20 2022, vol. 12. https://doi.org/10.3389/fonc.2022.816297; WOS

7. [1.1] LI, W. – LE, N.N. – ONISHI, N. – NEWITT, D.C. – WILMES, L.J. – GIBBS, J.E. – CARMONA-BOZO, J. – LIANG, J.C. – PARTRIDGE, S.C. – PRICE, E.R. – JOE, B.N. – KORNAK, J. – MAGBANUA, M.J.M. – NANDA, R. – LESTAGE, B. – ESSERMAN, L.J. – VAN’T VEER, L.J. – HYLTON, N.M. Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant Immunotherapy. In CANCERS. SEP 2022, vol. 14, no. 18. https://doi.org/10.3390/cancers14184436; WOS

8. [1.1] MASSAFRA, R. – COMES, M.C. – BOVE, S. – DIDONNA, V. – GATTA, G. – GIOTTA, F. – FANIZZI, A. – LA FORGIA, D. – LATORRE, A. – PASTENA, M.I. – POMARICO, D. – RINALDI, L. – TAMBORRA, P. – ZITO, A. – LORUSSO, V. – PARADISO, A.V. Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE-MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy. In JOURNAL OF PERSONALIZED MEDICINE. JUN 2022, vol. 12, no. 6. https://doi.org/10.3390/jpm12060953; WOS

9. [1.1] OTA, R. – KATAOKA, M. – IIMA, M. – HONDA, M. – OHASHI, A. – KISHIMOTO, A.O. – MIYAKE, K.K. – YAMADA, Y. – TAKEUCHI, Y. – TOI, M. – NAKAMOTO, Y. Evaluation of pathological complete response after neoadjuvant systemic treatment of invasive breast cancer using diffusion-weighted imaging compared with dynamic contrast-enhanced based kinetic analysis. In EUROPEAN JOURNAL OF RADIOLOGY. ISSN 0720-048X, SEP 2022, vol. 154. https://doi.org/10.1016/j.ejrad.2022.110372; WOS

10. [1.1] PINTICAN, R. – FECHETE, R. – BOCA, B. – CAMBREA, M. – LEONTE, T. – CAMUESCU, O. – GHERMAN, D. – BENE, I. – CIULE, L.D. – CIORTEA, C.A. – DUDEA, S.M. – CIUREA, A.I. Predicting the Early Response to Neoadjuvant Therapy with Breast MR Morphological, Functional and Relaxometry Features-A Pilot Study. In CANCERS. DEC 2022, vol. 14, no. 23. https://doi.org/10.3390/cancers14235866; WOS

11. [1.1] SOBHI, A. – HAMED, S.T. – HUSSEIN, E.S. – LASHEEN, S. – HUSSEIN, M. – EBRAHIM, Y. Predicting pathological response of locally advanced breast cancer to neoadjuvant chemotherapy: comparing the performance of whole body F- 18-FDG PETCT versus DCE-MRI of the breast. In EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE. MAR 31 2022, vol. 53, no. 1. https://doi.org/10.1186/s43055-022-00743-x; WOS

12. [1.1] ZHAO, R. – LU, H. – LI, Y.B. – SHAO, Z.Z. – MA, W.J. – LIU, P.F. Nomogram for Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Dynamic Contrast-enhanced and Diffusion-weighted MRI. In ACADEMIC RADIOLOGY. ISSN 1076-6332, JAN 2022, vol. 29, SI, p. S155-S163. https://doi.org/10.1016/j.acra.2021.01.023; WOS

13. [1.2] LI, W. – NEWITT, D.C. – PARTRIDGE, S.C. – HYLTON, N.M. Disease and Treatment Monitoring. In DIFFUSION MRI OF THE BREAST, 2022, p. 71-85. https://doi.org/10.1016/B978-0-323-79702-3.00005-8; SCOPUS

14. [1.2] ZENG, Q. – KE, M. – ZHONG, L. – ZHOU, Y. – ZHU, X. – HE, C. – LIU, L. Radiomics Based on Dynamic Contrast-Enhanced MRI to Early Predict Pathologic Complete Response in Breast Cancer Patients Treated with Neoadjuvant Therapy. In ACADEMIC RADIOLOGY, 2022. ISSN 1076-6332. https://doi.org/10.1016/j.acra.2022.11.006; SCOPUS

15. [3.1] ZHOU, Y. – CHEN, D. – LI, J. Research Progress of Imaging in Evaluating the Efficacy of Neoadjuvant Therapy for Breast Cancer. In ADVANCES IN CLINICAL MEDICINE, 2022, vol. 12, no. 8, p. 7709-7716. https://doi.org/10.12677/acm.2022.1281112

 

• MLYNÁRIK, V. – SZOMOLÁNYI, Pavol – TOFFANIN, R. – VITTUR, F. – TRATTNIG, S. Transverse relaxation mechanisms in articular cartilage. In Journal of Magnetic Resonance, 2004, vol. 169, p. 300-307. (2004 – Current Contents). ISSN 1090-7807. https://doi.org/10.1016/j.jmr.2004.05.003

WOS citations: 7; SCOPUS citations: 1

1. [1.1] HAN, M. – TIBREWALA, R. – BAHROOS, E. – PEDOIA, V. – MAJUMDAR, S. Magnetization-prepared spoiled gradient-echo snapshot imaging for efficient measurement of R-2-R-1 rho in knee cartilage. In MAGNETIC RESONANCE IN MEDICINE, 2022, vol. 87, no. 2, p. 733-745. ISSN 0740-3194. https://doi.org/10.1002/mrm.29024; WOS

2. [1.1] HANNINEN, N.E. – LIIMATAINEN, T. – HANNI, M. – GROHN, O. – NIEMINEN, M.T. – NISSI, M.J. Relaxation anisotropy of quantitative MRI parameters in biological tissues. In SCIENTIFIC REPORTS. ISSN 2045-2322, JUL 15 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-15773-8; WOS

3. [1.1] MA, Y.J. – JANG, H. – JERBAN, S. – CHANG, E.Y. – CHUNG, C.B. – BYDDER, G.M. – DU, J. Making the invisible visible-ultrashort echo time magnetic resonance imaging: Technical developments and applications. In APPLIED PHYSICS REVIEWS. ISSN 1931-9401, DEC 2022, vol. 9, no. 4. https://doi.org/10.1063/5.0086459; WOS

4. [1.1] MOMOT, K.I. Hydrated Collagen: Where Physical Chemistry, Medical Imaging, and Bioengineering Meet. In JOURNAL OF PHYSICAL CHEMISTRY B. ISSN 1520-6106, DEC 15 2022, vol. 126, no. 49, p. 10305-10316. https://doi.org/10.1021/acs.jpcb.2c06217; WOS

5. [1.1] NIEMINEN, M.T. – CASULA, V. – NISSI, M.J. Compositional MRI of articular cartilage – current status and the way forward. In OSTEOARTHRITIS AND CARTILAGE. ISSN 1063-4584, MAY 2022, vol. 30, no. 5, p. 633-635. https://doi.org/10.1016/j.joca.2022.01.006; WOS

6. [1.1] WIKSTROM, E.A. – SONG, K. – TENNANT, J.N. – PIETROSIMONE, B. Gait Biomechanics and Balance Associate with Talar and Subtalar T1 rho Relaxation Times in Those with Chronic Ankle Instability. In MEDICINE & SCIENCE IN SPORTS & EXERCISE. ISSN 0195-9131, JUN 2022, vol. 54, no. 6, p. 1013-1019. https://doi.org/10.1249/MSS.0000000000002867; WOS

7. [1.1] WU, M. – MA, Y.J. – LIU, M.Y. – XUE, Y.P. – GONG, L. – WEI, Z. – JERBAN, S. – JANG, H. – CHANG, D.G.G. – CHANG, E.Y. – MA, L.H. – DU, J. Quantitative assessment of articular cartilage degeneration using 3D ultrashort echo time cones adiabatic T-1 rho (3D UTE-Cones-AdiabT(1 rho)) imaging. In EUROPEAN RADIOLOGY. ISSN 0938-7994, SEP 2022, vol. 32, no. 9, p. 6178-6186. https://doi.org/10.1007/s00330-022-08722-6; WOS

8. [1.2] RAGHAVAN, P. – GORDON, A. – ROEMMICH, R. – STECCO, A. Treatment of Focal Muscle Stiffness with Hyaluronidase Injections. In SPASTICITY AND MUSCLE STIFFNESS. Springer, 2022, 263-286. https://doi.org/10.1007/978-3-030-96900-4_13; SCOPUS

 

• MOLČAN, L. – TEPLAN, Michal – VESELÁ, A. – ZEMAN, M. The long-term effects of phase advance shifts of photoperiod on cardiovascular parameters as measured by radiotelemetry in rats. In Physiological Measurement, 2013, vol. 34, no. 12, p. 1623-1632. (2012: 1.496 – IF, Q3 – JCR, 0.576 – SJR). (2013 – Current Contents). ISSN 0967-3334. https://doi.org/10.1088/0967-3334/34/12/1623

WOS citations: 1; other citations: 2

1. [1.1] SVORC, P. General Anesthesia and Electrocardiographic Parameters in in vivo Experiments Involving Rats. In PHYSIOLOGICAL RESEARCH. ISSN 0862-8408, APR 2022, vol. 71, no. 2, p. 177-192. https://doi.org/10.33549/physiolres.934848; WOS

2. [3.1] SVORC, P. – PETRASOVA, D. – SVORC, P., JR. Study on Heart rate Variability and Heart Rate under General Anesthesia in Rats of Both Sexes. In ISSUES AND DEVELOPMENTS IN MEDICINE AND MEDICAL RESEARCH VOL. 5, 2022, p. 17-22. https://doi.org/10.9734/bpi/idmmr/v5/2413C

3. [3.1] SVORC, P., JR. – SVORC, P. Rat Electrocardiography and General Anesthesia. In NOVEL PATHOGENESIS AND TREATMENTS FOR CARDIOVASCULAR DISEASE. IntechOpen, 2022. https://doi.org/10.5772/intechopen.104928

 

• MÓZES, F.E. – VALKOVIČ, Ladislav – PAVLIDES, M. – ROBSON, M.D. – TUNNICLIFFE, E.M. Hydration and glycogen affect T1 relaxation times of liver. In NMR in Biomedicine, 2021, vol. 34, no. 7, e4530. (2020: 4.044 – IF, Q1 – JCR, 1.278 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 0952-3480. https://doi.org/10.1002/nbm.4530

WOS citations: 3

1. [1.1] GHAVAMIAN, A. – LIU, C.H. – KANG, B. – YUAN, X.S. – WANG, X.M. – GAO, L. – ZHAO, X.Y. Liver T1 relaxation time of the ‘normal liver’ in healthy Asians: measurement with MOLLI and B-1-corrected VFA methods at 3T. In BRITISH JOURNAL OF RADIOLOGY. ISSN 0007-1285, 2022, vol. 95, no. 1133. https://doi.org/10.1259/bjr.20211008; WOS

2. [1.1] TADIMALLA, S. – WILSON, D.J. – SHELLEY, D. – BAINBRIDGE, G. – SAYSELL, M. – MENDICHOVSZKY, I.A. – GRAVES, M.J. – GUTHRIE, J.A. – WATERTON, J.C. – PARKER, G.J.M. – SOURBRON, S.P. Bias, Repeatability and Reproducibility of Liver T-1 Mapping With Variable Flip Angles. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, OCT 2022, vol. 56, no. 4, p. 1042-1052. https://doi.org/10.1002/jmri.28127; WOS

3. [1.1] YANG, L. – SUN, Z.W. – LI, J.L. – PAN, X.C. – WEN, J.P. – YANG, J.L. – WANG, Q. – CHEN, P. Genetic Variants of Glycogen Metabolism Genes Were Associated With Liver PDFF Without Increasing NAFLD Risk. In FRONTIERS IN GENETICS. APR 6 2022, vol. 13. https://doi.org/10.3389/fgene.2022.830445; WOS

 

• NÖBAUER-HUHMANN, I.-M. – PRETTERKLIEBER, M. – ERHART, J. – BÄR, P. – SZOMOLÁNYI, Pavol – KRONNERWETTER, C. – LANG, S. – FRIEDRICH, K. – TRATTNIG, S. Anatomy and variants of the triangular fibrocartilage complex and its MR appearance at 3 and 7T. In Seminars in Musculoskeletal Radiology, 2012, vol. 16, no. 2, p. 93-103. (2011: 0.932 – IF, Q4 – JCR, 0.656 – SJR, Q2 – SJR). (2012 – Current Contents). ISSN 1089-7860. https://doi.org/10.1055/s-0032-1311761

WOS citations: 3; SCOPUS citations: 1

1. [1.1] GOTESTRAND, S. – BJORKMAN, A. – BJORKMAN-BURTSCHER, I.M. – KRISTIANSSON, I. – AKSYUK, E. – SZARO, P. – BLOCH, K.M. – GEIJER, M. Visualization of wrist anatomy-a comparison between 7T and 3T MRI. In EUROPEAN RADIOLOGY. ISSN 0938-7994, FEB 2022, vol. 32, no. 2, p. 1362-1370. https://doi.org/10.1007/s00330-021-08165-5; WOS

2. [1.1] RATASVUORI, M.S. – LINDFORS, N.C. – SORMAALA, M.J. The clinical significance of magnetic resonance imaging of the hand: an analysis of 318 hand and wrist images referred by hand surgeons. In JOURNAL OF PLASTIC SURGERY AND HAND SURGERY. ISSN 2000-656X, APR 1 2022, vol. 56, no. 2, p. 69-73. https://doi.org/10.1080/2000656X.2021.1933993; WOS

3. [1.1] VAN DER POST, A.S. – JENS, S. – DAAMS, J.G. – OBDEIJN, M.C. – MAAS, M. – OOSTRA, R.J. The triangular fibrocartilage complex in the human wrist: A scoping review toward uniform and clinically relevant terminology. In CLINICAL ANATOMY. ISSN 0897-3806, JUL 2022, vol. 35, no. 5, p. 626-648. https://doi.org/10.1002/ca.23880; WOS

4. [1.2] HUILI, Z. – ZHANHUA, Q. – RONGJIE, B. – WEI, Y. – YAXIONG, L. – JIN’E, W. – SONGMING, W. Correlation between distal radioulnar joint effusion and the integrity of triangular fibrocartilage in healthy young adults. In CHINESE JOURNAL OF GENERAL PRACTITIONERS, 2022, vol. 21, no. 2, p. 169-173. ISSN 1671-7368. https://doi.org/10.3760/cma.j.cn114798-20211130-00884; SCOPUS

 

• NOEBAUER-HUHMANN, I.M. – SZOMOLÁNYI, Pavol – KRONNERWETTER, C. – WIDHALM, G. – WEBER, M. – NEMEC, S. – JURÁŠ, Vladimír – LADD, M.E. – PRAYER, D. – TRATTNIG, S. Brain tumours at 7T MRI compared to 3T—contrast effect after half and full standard contrast agent dose: Initial results. In European Radiology, 2015, vol. 25, no. 1, p. 106-112. (2014: 4.014 – IF, Q1 – JCR, 2.364 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 0938-7994. https://doi.org/10.1007/s00330-014-3351-2

WOS citations: 2; other citations: 1

1. [1.1] HAU, E. – LIM, R. – VINOD, S. – NAHAR, N. – GEE, H. – PINKHAM, M.B. Radiation therapy in the prevention and management of brain metastases in patients with small cell lung cancer: a narrative review. In CHINESE CLINICAL ONCOLOGY. ISSN 2304-3865, APR 2022, vol. 11, no. 2. https://doi.org/10.21037/cco-21-108; WOS

2. [1.1] HERZ, S. – STEFANESCU, M.R. – LOHR, D. – VOGEL, P. – KOSMALA, A. – TEREKHOV, M. – WENG, A.M. – GRUNZ, J.P. – BLEY, T.A. – SCHREIBER, L.M. Effects of image homogeneity on stenosis visualization at 7 T in a coronary artery phantom study: With and without B-1-shimming and parallel transmission. In PLOS ONE. ISSN 1932-6203, JUN 30 2022, vol. 17, no. 6. https://doi.org/10.1371/journal.pone.0270689; WOS

3. [3.1] WANG, J. Methods and devices for contrast agent magnetic resonance imaging. In US Patent US11353533B2, 2022, https://patents.google.com/patent/US11353533B2/en

 

• NOEBAUER-HUHMANN, I.M. – AMANN, G. – KRŠŠÁK, M. – PANOTOPOULOS, J. – SZOMOLÁNYI, Pavol – WEBER, M. – CZERNY, Ch. – BREITENSEHER, M. – GRABNER, G. – BOGNER, W. – NEMEC, S. – DOMINKUS, M. – FUNOVICS, P. – WINDHAGER, R. – TRATTNIG, S. Use of diagnostic dynamic contrast-enhanced (DCE)-MRI for targeting of soft tissue tumour biopsies at 3T: Preliminary results. In European Radiology, 2015, vol. 25, no. 7, p. 2041–2048. (2014: 4.014 – IF, Q1 – JCR, 2.364 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 0938-7994. https://doi.org/10.1007/s00330-014-3576-0

WOS citations: 5; other citations: 1

1. [1.1] FANG, S.B. – YANG, Y.Y. – XU, N. – TU, Y. – YIN, Z.Z. – ZHANG, Y. – LIU, Y.J. – DUAN, Z.Q. – LIU, W.Y. – WANG, S.W. An Update in Imaging Evaluation of Histopathological Grade of Soft Tissue Sarcomas Using Structural and Quantitative Imaging and Radiomics. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, MAY 2022, vol. 55, no. 5, p. 1357-1375. https://doi.org/10.1002/jmri.27954; WOS

2. [1.1] HETTLER, M. – KITZ, J. – HOSSEINI, A.S.A. – GUHLICH, M. – PANAHI, B. – ERNST, J. – CONRADI, L.C. – GHADIMI, M. – STROBEL, P. – JAKOB, J. Comparing Apparent Diffusion Coefficient and FNCLCC Grading to Improve Pretreatment Grading of Soft Tissue Sarcoma-A Translational Feasibility Study on Fusion Imaging. In CANCERS. SEP 2022, vol. 14, no. 17. https://doi.org/10.3390/cancers14174331; WOS

3. [1.1] KIEFER, J. – MUTSCHLER, M. – KURZ, P. – STARK, G.B. – BANNASCH, H. – SIMUNOVIC, F. Accuracy of core needle biopsy for histologic diagnosis of soft tissue sarcoma. In SCIENTIFIC REPORTS. ISSN 2045-2322, FEB 3 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-05752-4; WOS

4. [1.1] VAN RILLAND, E.Z. – WU, J. – DESHMUKH, S. Troubleshooting Challenging Musculoskeletal Tumor Biopsies: Tricks of the Trade. In SEMINARS IN ROENTGENOLOGY. ISSN 0037-198X, JUL 2022, vol. 57, no. 3, p. 275-290. https://doi.org/10.1053/j.ro.2022.01.002; WOS

5. [1.1] ZHANG, Y. – ZHAO, H.J. – LIU, Y.Y. – ZENG, M.Q. – ZHANG, J. – HAO, D.P. Diagnostic Performance of Dynamic Contrast-Enhanced MRI and 18F-FDG PET/CT for Evaluation of Soft Tissue Tumors and Correlation with Pathology Parameters. In ACADEMIC RADIOLOGY. ISSN 1076-6332, DEC 2022, vol. 29, no. 12, p. 1842-1851. https://doi.org/10.1016/j.acra.2022.03.009; WOS

6. [3.1] MARTADIANI, E. – SUMADI, I. – PUTRA, I. – ANGGRENI, F. – MARTONO, B. – PRIMANDA, Y. – NIKE, F. – TRININGSIH. Diagnostic value of qualitative, semiquantitative, and quantitative parameter of dynamic contrast-enhanced MRI in musculoskeletal tumor. In BALI MEDICAL JOURNAL, 2022, vol. 11, no. 3, p. 2075–2084. https://doi.org/10.15562/bmj.v11i3.3880

 

• NÖEBAUER-HUHMANN, I.M. – JURÁŠ, Vladimír – PFIRRMANN, Ch.W.A. – SZOMOLÁNYI, Pavol – ZBÝŇ, Š. – MESSNER, A. – WIMMER, J. – WEBER, M. – FRIEDRICH, K. – STELZENEDER, D. – TRATTNIG, S. Sodium MR imaging of the lumbar intervertebral disk at 7 T: Correlation with T2 mapping and modified Pfirrmann score at 3 T—preliminary results. In Radiology, 2012, vol. 265, no. 2, p. 555-564. (2011: 5.726 – IF, Q1 – JCR, 3.235 – SJR, Q1 – SJR). (2012 – Current Contents). ISSN 0033-8419. https://doi.org/10.1148/radiol.12111920

WOS citations: 5

1. [1.1] CAVUSOGLU, M. – PAZAHR, S. – CIRITSIS, A.P. – ROSSI, C. Quantitative Na-23-MRI of the intervertebral disk at 3 T. In NMR IN BIOMEDICINE. ISSN 0952-3480, AUG 2022, vol. 35, no. 8. https://doi.org/10.1002/nbm.4733; WOS

2. [1.1] MALLIO, C.A. – VADALA, G. – RUSSO, F. – BERNETTI, C. – AMBROSIO, L. – ZOBEL, B.B. – QUATTROCCHI, C.C. – PAPALIA, R. – DENARO, V. Novel Magnetic Resonance Imaging Tools for the Diagnosis of Degenerative Disc Disease: A Narrative Review. In DIAGNOSTICS. FEB 2022, vol. 12, no. 2. https://doi.org/10.3390/diagnostics12020420; WOS

3. [1.1] MARTIN, K. – TAN, S.J. – TOUSSAINT, N.D. Magnetic resonance imaging determination of tissue sodium in patients with chronic kidney disease. In NEPHROLOGY. ISSN 1320-5358, FEB 2022, vol. 27, no. 2, p. 117-125. https://doi.org/10.1111/nep.13975; WOS

4. [1.1] TAMAGAWA, S. – SAKAI, D. – NOJIRI, H. – SATO, M. – ISHIJIMA, M. – WATANABE, M. Imaging Evaluation of Intervertebral Disc Degeneration and Painful Discs-Advances and Challenges in Quantitative MRI. In DIAGNOSTICS. MAR 2022, vol. 12, no. 3. https://doi.org/10.3390/diagnostics12030707; WOS

5. [1.1] WU, L.L. – LIU, L.H. – RAO, S.X. – WU, P.Y. – ZHOU, J.J. Ultrashort time-to-echo T2*and T2*relaxometry for evaluation of lumbar disc degeneration: a comparative study. In BMC MUSCULOSKELETAL DISORDERS. JUN 1 2022, vol. 23, no. 1. https://doi.org/10.1186/s12891-022-05481-9; WOS

 

• NÖEBAUER-HUHMANN, I.M. – SZOMOLÁNYI, Pavol – JURÁŠ, Vladimír – KRAFF, O. – LADD, M.E. – TRATTNIG, S. Gadolinium-based magnetic resonance contrast agents at 7 tesla: In vitro T1 relaxivities in human blood plasma. In Investigative Radiology, 2010, vol. 45, no. 9, p. 554-558. (2009: 4.850 – IF, 3.571 – SJR, Q1 – SJR). (2010 – Current Contents). ISSN 0020-9996. https://doi.org/10.1097/RLI.0b013e3181ebd4e3

WOS citations: 2; other citations: 2

1. [1.1] HEGEDUS, N. – FORGACH, L. – KISS, B. – VARGA, Z. – JEZSO, B. – HORVATH, I. – KOVACS, N. – HAJDRIK, P. – PADMANABHAN, P. – GULYAS, B. – SZIGETI, K. – MATHE, D. Synthesis and preclinical application of a Prussian blue-based dual fluorescent and magnetic contrast agent (CA). In PLOS ONE. ISSN 1932-6203, JUL 21 2022, vol. 17, no. 7. https://doi.org/10.1371/journal.pone.0264554; WOS

2. [1.1] MYUNG, N. – JIN, S. – CHO, H.J. – KANG, H.W. User-designed device with programmable release profile for localized treatment. In JOURNAL OF CONTROLLED RELEASE. ISSN 0168-3659, DEC 2022, vol. 352, p. 685-699. https://doi.org/10.1016/j.jconrel.2022.10.054; WOS

3. [3.1] BANERJEE, A. – BLASIAK, B. – DASH, A. – TOMANEK, B. – VAN VEGGEL, F. – TRUDEL, S. High-field magnetic resonance imaging: Challenges, advantages, and opportunities for novel contrast agents. In CHEMICAL PHYSICS REVIEWS, 2022, vol. 3, art. no. 011304. https://doi.org/10.1063/5.0064517

4. [3.1] KUHN, M.J. – PATRIARCHE, J.W. – PATRIARCHE, D. – BONA, M. – KIRCHIN, M.A. – PIROVANO, G. Comparing Contrast Agent Enhancement: The Value of Artificial Intelligence/Machine Learning. In JOURNAL OF EXPERIMENTAL NEUROLOGY, 2022, vol. 3, no. 1, p. 8-14. https://doi.org/10.33696/Neurol.3.055

 

• NÝBLOVÁ, D. – SENNA, M. – DÜVEL, A. – HEITJANS, P. – BILLIK, Peter – FILO, J. – ŠEPELÁK, V. NMR study on reaction processes from aluminum chloride hydroxides to alpha alumina powders. In Journal of the American Ceramic Society, 2019, vol. 102, p. 2871–2881. (2018: 3.094 – IF, Q1 – JCR, 0.974 – SJR, Q1 – SJR). (2019 – Current Contents). ISSN 0002-7820. https://doi.org/10.1111/jace.16108

Other citations: 1

1. [3.1] GIACOBELLO, F. – MOLLICA-NARDO, V. – FOTI, C. – PONTERIO, R.C. – SAIJA, F. – TRUSSO, S. – SPONER, J. – CASSONE, G. – GIUFFRE, O. Hydrolysis of Al3+ in Aqueous Solutions: Experiments and Ab Initio Simulations. In LIQUIDS, 2022, vol. 2, p. 26–38. https://doi.org/10.3390/liquids2010003

 

• NÝBLOVÁ, D. – BILLIK, Peter – NOGA, J. – ŠIMON, E. – BYSTRICKÝ, R. – ČAPLOVIČOVÁ, M. – NOSKO, M. Degradation of Al4C3 due to atmospheric humidity. In JOM : Journal of the Minerals, Metals and Materials Society, 2018, vol. 70, no. 19, p. 2378-2384. (2017: 2.145 – IF, Q1 – JCR, 1.054 – SJR, Q1 – SJR). (2018 – Current Contents). ISSN 1047-4838. https://doi.org/10.1007/s11837-018-3053-3

Other citations: 1

1. [3.1] NIEDERMAYER, S. – ELLERSDORFER, M. Combination of Autoclave Treatment and NDIR Process Analytics for Quantification of Aluminum Carbide in Powdery Samples. In ANALYTICA, 2022, vol. 3, p. 106–119. https://doi.org/10.3390/analytica3010008

 

• PALUŠ, M. – KRAKOVSKÁ, Anna – JAKUBÍK, Jozef – CHVOSTEKOVÁ, Martina. Causality, dynamical systems and the arrow of time. In Chaos : An Interdisciplinary Journal of Nonlinear Science, 2018, vol. 28, no. 7, art. no. 075307. (2017: 2.415 – IF, Q1 – JCR, 0.716 – SJR, Q2 – SJR). (2018 – Current Contents). ISSN 1054-1500. https://doi.org/10.1063/1.5019944

WOS citations: 8; SCOPUS citations: 1; other citations: 1

1. [1.1] CHANG, C.W. – MUNCH, S.B. – HSIEH, C.H. Comments on identifying causal relationships in nonlinear dynamical systems via empirical mode decomposition. In NATURE COMMUNICATIONS. MAY 23 2022, vol. 13, no. 1. https://doi.org/10.1038/s41467-022-30359-8; WOS

2. [1.1] JIZBA, P. – LAVICKA, H. – TABACHOVA, Z. Causal Inference in Time Series in Terms of Renyi Transfer Entropy. In ENTROPY. JUL 2022, vol. 24, no. 7. https://doi.org/10.3390/e24070855; WOS

3. [1.1] KIWATA, H. Relationship between Schreiber’s transfer entropy and Liang-Kleeman information flow from the perspective of stochastic thermodynamics. In PHYSICAL REVIEW E. ISSN 2470-0045, APR 21 2022, vol. 105, no. 4. https://doi.org/10.1103/PhysRevE.105.044130; WOS

4. [1.1] NAGHIPOUR, L. – AALAMI, M.T. – NOURANI, V. Unravelling the backbone of climate networks from the analysis of collective dynamics and time reversal. In INTERNATIONAL JOURNAL OF CLIMATOLOGY. ISSN 0899-8418, 2022. https://doi.org/10.1002/joc.7547; WOS

5. [1.1] SHI, J.F. – CHEN, L.N. – AIHARA, K. Embedding entropy: a nonlinear measure of dynamical causality. In JOURNAL OF THE ROYAL SOCIETY INTERFACE. ISSN 1742-5689, MAR 30 2022, vol. 19, no. 188. https://doi.org/10.1098/rsif.2021.0766; WOS

6. [1.1] SKAKUN, A.A. – VOLOBUEV, D.M. Causal Relationships between Climate Indices and the Solar Constant over the Last 100 Years. In GEOMAGNETISM AND AERONOMY. ISSN 0016-7932, DEC 2022, vol. 62, no. 8, p. 1123-1127. https://doi.org/10.1134/S0016793222080175; WOS

7. [1.1] SMIRNOV, D.A. Generative formalism of causality quantifiers for processes. In PHYSICAL REVIEW E. ISSN 2470-0045, MAR 25 2022, vol. 105, no. 3. https://doi.org/10.1103/PhysRevE.105.034209; WOS

8. [1.1] VANNITSEM, S. – LIANG, X.S. Dynamical Dependencies at Monthly and Interannual Time Scales in the Climate System: Study of the North Pacific and Atlantic Regions. In TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY. 2022, vol. 74, p. 141-158. https://doi.org/10.16993/tellusa.44; WOS

9. [1.2] SCHLOSSER, C. – KORDA, M. Sparsity Structures for Koopman and Perron-Frobenius Operators. In SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS, 2022, vol. 21, no. 3, p. 2187-2214. https://doi.org/10.1137/21M1466608; SCOPUS

10. [3.1] DOCQUIER, D. – VANNITSEM, S. – BELLUCCI, A. – FRANKIGNOUL, C. Interactions between ocean heat budget terms in HighResMIP climate models measured by the rate of information transfer. In EGUSPHERE, 2022, https://doi.org/10.5194/egusphere-2022-1340

 

• PETRA, L. – BILLIK, Peter – KOMADEL, P. Preparation and characterization of hybrid materials consisting of high-energy ground montmorillonite and α-amino acids. In Applied Clay Science, 2015, vol. 115, p. 174-178. (2014: 2.467 – IF, Q1 – JCR, 0.914 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 0169-1317. https://doi.org/10.1016/j.clay.2015.08.002

WOS citations: 1

1. [1.1] SIRAJUNNISA, P. – SABNA, C. – ASWIN, A. – PRATHAPAN, S. – SAILAJA, G.S. Lawsone-bentonite hybrid systems for pH-dependent sustained release of ciprofloxacin. In NEW JOURNAL OF CHEMISTRY. ISSN 1144-0546, MAY 23 2022, vol. 46, no. 20, p. 9560-9571. https://doi.org/10.1039/d2nj00288d; WOS

 

• PETRA, L. – BILLIK, Peter – MELICHOVÁ, Z. – KOMADEL, P. Mechanochemically activated saponite as materials for Cu2+ and Ni2+ removal from aqueous solutions. In Applied Clay Science, 2017, vol. 143, p. 22-28. (2016: 3.101 – IF, Q1 – JCR, 0.899 – SJR, Q1 – SJR). (2017 – Current Contents). ISSN 0169-1317. https://doi.org/10.1016/j.clay.2017.03.012

WOS citations: 4

1. [1.1] MARCHESI, S. – NASCIMBENE, S. – GUIDOTTI, M. – BISIO, C. – CARNIATO, F. Application of NMR relaxometry for real-time monitoring of the removal of metal ions from water by synthetic clays. In DALTON TRANSACTIONS. ISSN 1477-9226, MAR 15 2022, vol. 51, no. 11, p. 4502-4509. https://doi.org/10.1039/d1dt04344g; WOS

2. [1.1] PEI, P.G. – XU, Y.M. – WANG, L. – LIANG, X.F. – SUN, Y.B. Thiol-functionalized montmorillonite prepared by one-step mechanochemical grafting and its adsorption performance for mercury and methylmercury. In SCIENCE OF THE TOTAL ENVIRONMENT. ISSN 0048-9697, FEB 1 2022, vol. 806, 1. https://doi.org/10.1016/j.scitotenv.2021.150510; WOS

3. [1.1] SAOIABI, S. – LATIFI, S. – GOUZA, A. – EL HAMMARI, L. – BOUKRA, O. – SAOIABI, A. Elimination of heavy metal Ni2+ from wastewater using Moroccan oil shale as bio sorbent. In MATERIALS TODAY-PROCEEDINGS. ISSN 2214-7853, 2022, vol. 58, 4, SI, p. 987-993. https://doi.org/10.1016/j.matpr.2021.12.457; WOS

4. [1.1] YANG, R. – CHANG, Q.Q. – LI, N. – YANG, H. Synergistically enhanced activation of persulfate for efficient oxidation of organic contaminants using a microscale zero-valent aluminum/Fe-bearing clay composite. In CHEMICAL ENGINEERING JOURNAL. ISSN 1385-8947, APR 1 2022, vol. 433, 3. https://doi.org/10.1016/j.cej.2021.133682; WOS

 

• PINKER, K. – SZOMOLÁNYI, Pavol – WELSCH, G.H. – MAMISCH, T.C. – MARLOVITS, S. – STADLBAUER, A. – TRATTNIG, S. Longitudinal evaluation of cartilage composition of matrix-associated autologous chondrocyte transplants with 3-T delayed gadolinium-enhanced MRI of cartilage. In American Journal of Roentgenology, 2008, vol. 191, p. 1391-1396. (2007: 2.470 – IF, Q2 – JCR, 1.503 – SJR, Q1 – SJR). (2008 – Current Contents). ISSN 0361-803X. https://doi.org/10.2214/AJR.07.3930

WOS citations: 1

1. [1.1] KLIMEK, K. – TARCZYNSKA, M. – TRUSZKIEWICZ, W. – GAWEDA, K. – DOUGLAS, T.E.L. – GINALSKA, G. Freeze-Dried Curdlan/Whey Protein Isolate-Based Biomaterial as Promising Scaffold for Matrix-Associated Autologous Chondrocyte Transplantation-A Pilot In-Vitro Study. In CELLS. JAN 2022, vol. 11, no. 2. https://doi.org/10.3390/cells11020282; WOS

 

• PRNOVÁ, A. – PLŠKO, A. – VALÚCHOVÁ, J. – KLEMENT, R. – CHROMČÍKOVÁ, M. – MUTLU, N. – MAJEROVÁ, Melinda – BRUNEEL, E. – GALUSEK, D. Crystallization kinetics of binary Yb2O3-Al2O3 glass. In Journal of Thermal Analysis and Calorimetry, 2020, vol. 142, no. 5, p. 2141–2148. (2019: 2.731 – IF, Q2 – JCR, 0.415 – SJR, Q3 – SJR). (2020 – Current Contents). ISSN 1388-6150. https://doi.org/10.1007/s10973-020-10049-7

WOS citations: 1

1. [1.1] NANDI, P. – GOSWAMI, M. – ARYA, A. – KRISHNAN, M. Study of crystallization kinetics, microstructure and optical properties of Ce: YAG glass-ceramics for white LED applications. In JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 2022, vol. 147, no. 4, pp. 3007-3013. ISSN 1388-6150. Available on: https://doi.org/10.1007/s10973-021-10690-w; WOS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, Anna – FROLLO, Ivan. First-step PPG signal analysis for evaluation of stress induced during scanning in the open-air MRI device. In Sensors, 2020, vol. 20, no. 12, art. no. 3532. (2019: 3.275 – IF, Q1 – JCR, 0.653 – SJR, Q1 – SJR). (2020 – Current Contents). ISSN 1424-8220. https://doi.org/10.3390/s20123532

WOS citations: 2; SCOPUS citations: 1

1. [1.1] MUKHERJEE, A. – SADHUKHAN, D. – CHATTERJEE, K. – SARKAR, T. Indoor Cardiovascular Health Monitoring System under COVID 19 Situations. In BIOINTERFACE RESEARCH IN APPLIED CHEMISTRY. ISSN 2069-5837, 2022, vol. 12, no. 3, p. 3488-3500; WOS

2. [1.1] WU, X. Effects of sports training and psychological training on employees’ psychological stress. In REVISTA DE PSICOLOGIA DEL DEPORTE. ISSN 1132-239X, 2022, vol. 31, no. 3, p. 101-110; WOS

3. [1.2] FERADOV, F. – GANCHEV, T. – MARKOVA, V. – KALCHEVA, N. EMD-based Features for Cognitive Load and Stress Assessment from PPG Signals. In INTERNATIONAL CONFERENCE ON BIOMEDICAL INNOVATIONS AND APPLICATIONS, 2021, p. 62-65. https://doi.org/10.1109/BIA52594.2022.9831344; SCOPUS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, Anna – FROLLO, Ivan. Comparison of three prototypes of PPG sensors for continual real-time measurement in weak magnetic field. In Sensors, 2022, vol. 22, no. 10, art. no. 3769. (2021: 3.847 – IF, Q2 – JCR, 0.803 – SJR, Q1 – SJR). (2022 – Current Contents). ISSN 1424-8220. https://doi.org/10.3390/s22103769

WOS citations: 1

1. [1.1] SVIRIDOVA, N. – ZHAO, T. – NAKANO, A. – IKEGUCHI, T. Photoplethysmogram Recording Length: Defining Minimal Length Requirement from Dynamical Characteristics. In SENSORS, 2022, vol. 22, no. 14. https://doi.org/10.3390/s22145154; WOS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. Evaluation of influence of spectral and prosodic features on GMM classification of Czech and Slovak emotional speech. In EURASIP Journal on Audio, Speech, and Music Processing, 2013, vol. 8, 22 p. (2012: 0.630 – IF, Q3 – JCR, 0.204 – SJR). (2013 – Current Contents). ISSN 1687-4722. https://doi.org/10.1186/1687-4722-2013-8

WOS citations: 1; other citations: 1

1. [1.1] SINGH, A. – KAUR, N. – KUKREJA, V. – KADYAN, V. – KUMAR, M. Computational intelligence in processing of speech acoustics: a survey. In COMPLEX & INTELLIGENT SYSTEMS. ISSN 2199-4536, JUN 2022, vol. 8, no. 3, SI, p. 2623-2661. https://doi.org/10.1007/s40747-022-00665-1; WOS

2. [3.1] ARUSHI – DILLON, R. – TEOH, A.N. – DILLON, D. Voice Analysis for Stress Detection and Application in Virtual Reality to Improve Public Speaking in Real-time: A Review. In arXiv, 2022, https://doi.org/10.48550/arXiv.2208.01041

 

• PŘIBIL, Jiří – PŘIBILOVÁ, Anna – MATOUŠEK, J. GMM-based evaluation of synthetic speech quality using 2D classification in pleasure-arousal scale. In Applied Sciences-Basel, 2021, vol. 11, no. 1, art. no. 2. (2020: 2.679 – IF, Q2 – JCR, 0.435 – SJR, Q2 – SJR). (2021 – Current Contents). ISSN 2076-3417. https://doi.org/10.3390/app11010002

WOS citations: 1; other citations: 1

1. [1.1] LI, M. – GUO, F. – CHEN, J. – DUFFY, V.G. Evaluating Users’ Auditory Affective Preference for Humanoid Robot Voices through Neural Dynamics. In INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2022. ISSN 1044-7318. https://doi.org/10.1080/10447318.2022.2108586; WOS

2. [3.1] WU, Y.-L. – CHEN, P.-C. Neurophysiology of sensory imagery: An effort to improve online advertising effectiveness through science laboratory experimentation. In INFORMATION & MANAGEMENT, 2022. ISSN 0378-7206. https://doi.org/10.1016/j.im.2022.103708

 

• PURVIS, L.A.B. – CLARKE, W.T. – VALKOVIČ, Ladislav – LEVICK, C. – PAVLIDES, M. – BARNES, E. – COBBOLD, J.F. – ROBSON, M.D. – RODGERS, C.T. Phosphodiester content measured in human liver by in vivo 31P MR spectroscopy at 7 Tesla. In Magnetic Resonance in Medicine, 2017, vol. 78, no. 6, p. 2095-2105. (2016: 3.924 – IF, Q1 – JCR, 1.945 – SJR, Q1 – SJR). (2017 – Current Contents). ISSN 0740-3194. https://doi.org/10.1002/mrm.26635

WOS citations: 3

1. [1.1] LOPEZ KOLKOVSKY, A.L. – CARLIER, P.G. – MARTY, B. – MEYERSPEER, M. Interleaved and simultaneous multi-nuclear magnetic resonance in vivo. Review of principles, applications and potential. In NMR IN BIOMEDICINE, 2022, vol. 35, no. 10, p. ISSN 0952-3480. https://doi.org/10.1002/nbm.4735; WOS

2. [1.1] PFLEGER, L. – HALILBASIC, E. – GAJDOSIK, M. – BENCIKOVA, D. – CHMELIK, M. – SCHERER, T. – TRATTNIG, S. – KREBS, M. – TRAUNER, M. – KRSSAK, M. Concentration of Gallbladder Phosphatidylcholine in Cholangiopathies: A Phosphorus-31 Magnetic Resonance Spectroscopy Pilot Study. In JOURNAL OF MAGNETIC RESONANCE IMAGING, 2022, vol. 55, no. 2, p. 530-540. ISSN 1053-1807. https://doi.org/10.1002/jmri.27817; WOS

3. [1.1] VAN DEN WILDENBERG, L. – GURSAN, A. – SEELEN, L.W.F. – VAN DER VELDEN, T.A. – GOSSELINK, M.W.J.M. – FROELING, M. – VAN DER KEMP, W.J.M. – KLOMP, D.W.J. – PROMPERS, J.J. In vivo phosphorus magnetic resonance spectroscopic imaging of the whole human liver at 7 T using a phosphorus whole-body transmit coil and 16-channel receive array: Repeatability and effects of principal component analysis-based denoising. In NMR IN BIOMEDICINE, 2022. ISSN 0952-3480. https://doi.org/10.1002/nbm.4877; WOS

 

• PURVIS, L.A.B. – VALKOVIČ, Ladislav – ROBSON, M.D. – RODGERS, C.T. Feasibility of absolute quantification for 31P MRS at 7 T. In Magnetic Resonance in Medicine, 2019, vol. 82, no. 1, p. 49-61. (2018: 3.858 – IF, Q1 – JCR, 1.985 – SJR, Q1 – SJR). (2019 – Current Contents). ISSN 0740-3194. https://doi.org/10.1002/mrm.27729

WOS citations: 1

1. [1.1] VAN DEN WILDENBERG, L. – GURSAN, A. – SEELEN, L.W.F. – VAN DER VELDEN, T.A. – GOSSELINK, M.W.J.M. – FROELING, M. – VAN DER KEMP, W.J.M. – KLOMP, D.W.J. – PROMPERS, J.J. In vivo phosphorus magnetic resonance spectroscopic imaging of the whole human liver at 7 T using a phosphorus whole-body transmit coil and 16-channel receive array: Repeatability and effects of principal component analysis-based denoising. In NMR IN BIOMEDICINE, 2022. ISSN 0952-3480. https://doi.org/10.1002/nbm.4877; WOS

 

• RADOŠINSKÁ, J. – JASENOVEC, T. – RADOŠINSKÁ, D. – BALIŠ, P. – PÚZSEROVÁ, A. – ŠKRÁTEK, Martin – MAŇKA, Ján – BERNÁTOVÁ, I. Ultra-small superparamagnetic iron-oxide nanoparticles exert different effects on erythrocytes in normotensive and hypertensive rats. In Biomedicines, 2021, vol. 9, no. 4, art. no. 377. (2020: 6.081 – IF, Q1 – JCR, 1.511 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 2227-9059. https://doi.org/10.3390/biomedicines9040377

WOS citations: 1

1. [1.1] YAN, M. – LI, J. Elaeagnus angustifolia extract green-formulated zinc nanoparticles possess a protective activity against nicotine-induced neurotoxicity. In JOURNAL OF EXPERIMENTAL NANOSCIENCE, 2022, vol. 17, no. 1, p. 548-563. ISSN 1745-8080. https://doi.org/10.1080/17458080.2022.2120193; WOS

 

• RAPČAN, R. – KOČAN, L. – WITKOVSKÝ, Viktor – MLÁKA, J. – GRIGER, M. – BURIANEK, M. – RAPČANOVÁ, S. – HAMMOND, A. – POLIAK, Ľ. – TIRPÁK, R. – ŠIMONOVÁ, J. – SABOL, F. – VAŠKOVÁ, J. EQ-5D-5L questionnaire as suitable assessment of quality of life after epiduroscopy. In Wiener klinische Wochenschrift, 2020, vol. 132, p. 526-534. (2019: 1.323 – IF, Q3 – JCR, 0.383 – SJR, Q3 – SJR). (2020 – Current Contents). ISSN 0043-5325. https://doi.org/10.1007/s00508-019-01590-z

Other citations: 1

1. [3.1] SAHIN, A. Complications of Epiduroscopic Procedures. In COMPLICATIONS OF PAIN‐RELIEVING PROCEDURES: AN ILLUSTRATED GUIDE. Wiley, 2022, p. 339-350. https://doi.org/10.1002/9781119757306.ch40

 

• RAPTA, P. – VARGOVÁ, A. – POLOVKOVÁ, Júlia – GATIAL, A. – OMELKA, L. – MAJZLÍK, P. – BREZA, M. A variety of oxidation products of antioxidants based on N,N’-substituted p-phenylenediamines. In Polymer Degradation and Stability, 2009, vol. 94, no. 9, p. 1457-1466. (2008: 2.320 – IF, Q1 – JCR, 1.284 – SJR, Q1 – SJR). (2009 – Current Contents). ISSN 0141-3910. https://doi.org/10.1016/j.polymdegradstab.2009.05.003

WOS citations: 4

1. [1.1] HU, X.M. – ZHAO, H.Q.N.N. – TIAN, Z.Y. – PETER, K.T. – DODD, M.C. – KOLODZIEJ, E.P. Transformation Product Formation upon Heterogeneous Ozonation of the Tire Rubber Antioxidant 6PPD (N-(1,3-dimethylbutyl)-N ‘-phenyl-p-phenylenediamine). In ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS. ISSN 2328-8930, MAY 10 2022, vol. 9, no. 5, p. 413-419. https://doi.org/10.1021/acs.estlett.2c00187; WOS

2. [1.1] XU, J. – HAO, Y.F. – YANG, Z.R. – LI, W.J. – XIE, W.J. – HUANG, Y. – WANG, D.L. – HE, Y.Q. – LIANG, Y. – MATSIKO, J. – WANG, P. Rubber Antioxidants and Their Transformation Products: Environmental Occurrence and Potential Impact. In INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. NOV 2022, vol. 19, no. 21. https://doi.org/10.3390/ijerph192114595; WOS

3. [1.1] YANG, Q.L. – KE, J. – LI, H.T. – HUANG, W. – WANG, D. – LIU, Y.H. – CHEN, J.Q. – GUO, R.X. Mechanism and practical application of homogeneous-heterogeneous hybrid catalysts in electrolytic system for high COD chemical waste acid treatment. In CHEMICAL ENGINEERING JOURNAL. ISSN 1385-8947, DEC 1 2022, vol. 449. https://doi.org/10.1016/j.cej.2022.137767; WOS

4. [1.1] YU, W.L. – ZHAO, S.L. – XU, G.W. – LI, X. – ZHANG, X.L. – SHAN, Y.L. – DING, J.W. – QIN, G.H. – ZHANG, J.M. – FENG, X. – CHEN, D. Facile fabrication of phenylenediamine residue derived N, O co-doped hierarchical hyperporous carbon for high-efficient chloroxylenol removal. In CHEMICAL ENGINEERING JOURNAL. ISSN 1385-8947, APR 1 2022, vol. 433, 3. https://doi.org/10.1016/j.cej.2021.133635; WOS

 

• RAUDNER, M. – SCHREINER, M. – HILBERT, T. – KOBER, T. – WEBER, M. – WINDHAGER, R. – TRATTNIG, S. – JURÁŠ, Vladimír. Accelerated T2 mapping of the lumbar intervertebral disc: Highly undersampled k-space data for robust T2 relaxation time measurement in clinically feasible acquisition times. In Investigative Radiology, 2020, vol. 55, no. 11, p. 695-701. (2019: 5.156 – IF, Q1 – JCR, 2.564 – SJR, Q1 – SJR). (2020 – Current Contents). ISSN 0020-9996. https://doi.org/10.1097/RLI.0000000000000690

WOS citations: 1

1. [1.1] BUGEJA, J.M. Editorial for “Q-Dixon and GRAPPATINI T2 Mapping Parameters: A Whole Spinal Assessment of the Relationships Between Osteoporosis and Intervertebral Disc Degeneration”. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, MAY 2022, vol. 55, no. 5, p. 1547-1548. https://doi.org/10.1002/jmri.27960; WOS

 

• RAUDNER, M. – SCHREINER, M. – HILBERT, T. – KOBER, T. – WEBER, M. – SZELÉNYI, A. – WINDHAGER, R. – JURÁŠ, Vladimír – TRATTNIG, S. Clinical implementation of accelerated T2 mapping: Quantitative magnetic resonance imaging as a biomarker for annular tear and lumbar disc herniation. In European Radiology, 2021, vol. 31, p. 3590-3599. (2020: 5.315 – IF, Q1 – JCR, 1.606 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 0938-7994. https://doi.org/10.1007/s00330-020-07538-6

WOS citations: 4; other citations: 1

1. [1.1] HE, B. – SHELDRICK, K. – DAS, A. – DIWAN, A. Clinical and Research MRI Techniques for Assessing Spinal Cord Integrity in Degenerative Cervical Myelopathy-A Scoping Review. In BIOMEDICINES. OCT 2022, vol. 10, no. 10. https://doi.org/10.3390/biomedicines10102621; WOS

2. [1.1] KASAR, S. – OZTURK, M. – POLAT, A.V. Quantitative T2 mapping of the sacroiliac joint cartilage at 3T in patients with axial spondyloarthropathies. In EUROPEAN RADIOLOGY. ISSN 0938-7994, FEB 2022, vol. 32, no. 2, p. 1395-1403. https://doi.org/10.1007/s00330-021-08357-z; WOS

3. [1.1] TOLPADI, A.A. – HAN, M.S. – CALIVA, F. – PEDOIA, V. – MAJUMDAR, S. Region of interest-specific loss functions improve T-2 quantification with ultrafast T-2 mapping MRI sequences in knee, hip and lumbar spine. In SCIENTIFIC REPORTS. ISSN 2045-2322, DEC 23 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-26266-z; WOS

4. [1.1] YANG, L. – SUN, C. – GONG, T. – LI, Q.L. – CHEN, X. – ZHANG, X.J. T1 rho, T2 and T2*mapping of lumbar intervertebral disc degeneration: a comparison study. In BMC MUSCULOSKELETAL DISORDERS. DEC 27 2022, vol. 23, no. 1. https://doi.org/10.1186/s12891-022-06040-y; WOS

5. [3.1] XUE, C. – WANG, N. – XU, W. – XI, Z. – XIE, L. Progress of quantitative magnetic resonance T2 mapping imaging in disc degeneration. In JOURNAL OF MOLECULAR IMAGING, 2022, vol. 45, no. 3, p. 447-453. https://doi.org/10.12122/j.issn.1674-4500.2022.03.28

 

• RAUDNER, M. – SCHREINER, M. – JURÁŠ, Vladimír – WEBER, M. – STELZENEDER, D. – KRONNERWETTER, C. – WINDHAGER, R. – TRATTNIG, S. Prediction of lumbar disk herniation and clinical outcome using quantitative magnetic resonance imaging: A 5-year follow-up study. In Investigative Radiology, 2019, vol. 54, no. 3, p. 183-189. (2018: 6.091 – IF, Q1 – JCR, 3.761 – SJR, Q1 – SJR). (2019 – Current Contents). ISSN 0020-9996. https://doi.org/10.1097/RLI.0000000000000527

WOS citations: 2; other citations: 1

1. [1.1] DRAVENY, R. – AMBARKI, K. – HAN, F. – HILBERT, T. – LAURENT, V. – MOREL, O. – BERTHOLDT, C. – BEAUMONT, M. Comparison of T2 Quantification Strategies in the Abdominal-Pelvic Region for Clinical Use. In INVESTIGATIVE RADIOLOGY. ISSN 0020-9996, JUN 2022, vol. 57, no. 6, p. 412-421. https://doi.org/10.1097/RLI.0000000000000852; WOS

2. [1.1] LI, X.W. – XIE, Y.X. – LU, R. – ZHANG, Y.Y. – LI, Q. – KOBER, T. – HILBERT, T. – TAO, H.Y. – CHEN, S. Q-Dixon and GRAPPATINI T2 Mapping Parameters: A Whole Spinal Assessment of the Relationship Between Osteoporosis and Intervertebral Disc Degeneration. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, MAY 2022, vol. 55, no. 5, p. 1536-1546. https://doi.org/10.1002/jmri.27959; WOS

3. [3.1] SAINI, R. – SHARMA, A. – DAVE, M. The History of Lumbar Disc Herniation (LDH) – Learning from the Past. In JOURNAL OF MAR ORTHOPEDICS, 2022, vol. 3, no. 3. https://www.medicalandresearch.com/previous_view/748

 

• ROSIPAL, Roman – ROŠŤÁKOVÁ, Zuzana – TREJO, L.J. Tensor decomposition of human narrowband oscillatory brain activity in frequency, space and time. In Biological Psychology, 2022, vol. 169, art. no. 108287. (2021: 3.111 – IF, Q2 – JCR, 1.023 – SJR, Q1 – SJR). (2001 – Current Contents). ISSN 0301-0511. https://doi.org/10.1016/j.biopsycho.2022.108287

SCOPUS citations: 1

1. [1.2] ZAKRZEWSKI, S. – KLEPACZKA, T. – STASIAK, B. – WOJCIECHOWSKI, A. VR-oriented EEG signal classification of motor imagery tasks. In HUMAN TECHNOLOGY. ISSN 1795-6889, 2022, vol. 18, no. 1, p. 29-44; SCOPUS

 

• ROSIPAL, Roman – TREJO, L.J. Kernel partial least squares regression in Reproducing Kernel Hilbert Space. In Journal of Machine Learning Research, 2001, vol. 2, p. 97-123. (2001 – Current Contents). ISSN 1532-4435.

WOS citations: 46; SCOPUS citations: 3; other citations: 6

1. [1.1] ACQUARELLI, J. – VAN LAARHOVEN, T. – POSTMA, G.J. – JANSEN, J.J. – RIJPMA, A. – VAN ASTEN, S. – HEERSCHAP, A. – BUYDENS, L.M.C. – MARCHIORI, E. Convolutional neural networks to predict brain tumor grades and Alzheimer’s disease with MR spectroscopic imaging data. In PLOS ONE. ISSN 1932-6203, AUG 24 2022, vol. 17, no. 8. https://doi.org/10.1371/journal.pone.0268881; WOS

2. [1.1] BI, X.T. – QIN, R.S. – WU, D.Y. – ZHENG, S.D. – ZHAO, J.S. One step forward for smart chemical process fault detection and diagnosis. In COMPUTERS & CHEMICAL ENGINEERING. ISSN 0098-1354, AUG 2022, vol. 164. https://doi.org/10.1016/j.compchemeng.2022.107884; WOS

3. [1.1] CHAKRABORTY, R. – KERESZTURI, G. – PULLANAGARI, R. – DURANCE, P. – ASHRAF, S. – ANDERSON, C. Mineral prospecting from biogeochemical and geological information using hyperspectral remote sensing – Feasibility and challenges. In JOURNAL OF GEOCHEMICAL EXPLORATION. ISSN 0375-6742, JAN 2022, vol. 232. https://doi.org/10.1016/j.gexplo.2021.106900; WOS

4. [1.1] DIAS, T. – OLIVEIRA, R. – SARAIVA, P. – REIS, M.S. Forecasting the research octane number in a Continuous Catalyst Regeneration (CCR) reformer. In QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL. ISSN 0748-8017, APR 2022, vol. 38, no. 3, SI, p. 1463-1481. https://doi.org/10.1002/qre.2968; WOS

5. [1.1] DIAS, T. – OLIVEIRA, R. – SARAIVA, P.M. – REIS, M.S. Linear and Non-Linear Soft Sensors for Predicting the Research Octane Number (RON) through Integrated Synchronization, Resolution Selection and Modelling. In SENSORS. MAY 2022, vol. 22, no. 10. https://doi.org/10.3390/s22103734; WOS

6. [1.1] DONG, J. – WANG, Y.Q. – PENG, K.X. A Novel Fault Detection Method Based on the Extraction of Slow Features for Dynamic Nonstationary Processes. In IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. ISSN 0018-9456, 2022, vol. 71. https://doi.org/10.1109/TIM.2021.3136260; WOS

7. [1.1] EDELMANN, D. – GOEMAN, J. A Regression Perspective on Generalized Distance Covariance and the Hilbert-Schmidt Independence Criterion. In STATISTICAL SCIENCE. ISSN 0883-4237, NOV 2022, vol. 37, no. 4, p. 562-579. https://doi.org/10.1214/21-STS841; WOS

8. [1.1] EL BILALI, A. – MOUKHLISS, M. – TALEB, A. – NAFII, A. – ALABJAH, B. – BROUZIYNE, Y. – MAZIGH, N. – TEZNINE, K. – MHAMED, M. Predicting daily pore water pressure in embankment dam: Empowering Machine Learning-based modeling. In ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. ISSN 0944-1344, 2022, vol. 29, no. 31, p. 47382-47398. https://doi.org/10.1007/s11356-022-18559-7; WOS

9. [1.1] EL BILALI, A. – MOUKHLISS, M. – TALEB, A. – NAFII, A. – ALABJAH, B. – BROUZIYNE, Y. – MAZIGH, N. – TEZNINE, K. – MHAMED, M. Predicting daily pore water pressure in embankment dam: Empowering Machine Learning-based modeling. In ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. ISSN 0944-1344, JUL 2022, vol. 29, no. 31, p. 47382-47398. https://doi.org/10.1007/s11356-022-18559-7; WOS

10. [1.1] GUO, S. – SONG, L. – XIE, R. – LI, L. – LIU, S.L. Multiview nonlinear discriminant structure learning for emotion recognition. In KNOWLEDGE-BASED SYSTEMS. ISSN 0950-7051, DEC 22 2022, vol. 258. https://doi.org/10.1016/j.knosys.2022.110042; WOS

11. [1.1] IRAKI, T. – LINK, N. Generative models for capturing and exploiting the influence of process conditions on process curves. In JOURNAL OF INTELLIGENT MANUFACTURING. ISSN 0956-5515, FEB 2022, vol. 33, no. 2, p. 473-492. https://doi.org/10.1007/s10845-021-01846-4; WOS

12. [1.1] JIANG, D. – LI, W. Quantitative Evaluation of Sensor Reconfigurability Based on Data-driven Method. In INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, vol. 20, no. 9, p. 2879-2891. ISSN 1598-6446. https://doi.org/10.1007/s12555-021-0590-2; WOS

13. [1.1] JIANG, D.N. – LI, W. Quantitative Evaluation of Sensor Reconfigurability Based on Data-driven Method. In INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS. ISSN 1598-6446, SEP 2022, vol. 20, no. 9, p. 2879-2891. https://doi.org/10.1007/s12555-021-0590-2; WOS

14. [1.1] KANEKO, H. Genetic Algorithm-Based Partial Least-Squares with Only the First Component for Model Interpretation. In ACS OMEGA. ISSN 2470-1343, MAR 15 2022, vol. 7, no. 10, p. 8968-8979. https://doi.org/10.1021/acsomega.1c07379; WOS

15. [1.1] KHANESAR, M.A. – PIANO, S. – BRANSON, D. Improving the Positional Accuracy of Industrial Robots by Forward Kinematic Calibration using Laser Tracker System. In PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (ICINCO), 2022, p. 263-270. https://doi.org/10.5220/0011340200003271; WOS

16. [1.1] KONG, X.Y. – JIANG, X.Y. – ZHANG, B.X. – YUAN, J.S. – GE, Z.Q. Latent variable models in the era of industrial big data: Extension and beyond. In ANNUAL REVIEWS IN CONTROL. ISSN 1367-5788, 2022, vol. 54, p. 167-199. https://doi.org/10.1016/j.arcontrol.2022.09.005; WOS

17. [1.1] LEI, C. – ZHENG, S.Z. – ZHANG, X. – WANG, D.X. – WU, H.T. – PENG, H. – HU, B. Epileptic Seizure Detection in EEG Signals Using Discriminative Stein Kernel-Based Sparse Representation. In IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. ISSN 0018-9456, 2022, vol. 71. https://doi.org/10.1109/TIM.2021.3137159; WOS

18. [1.1] LI, C. – LI, G. – CHEN, X. – ZHOU, P. – HE, X. A Multiblock Kernel Dynamic Latent Variable Model for Large-Scale Industrial Process Monitoring. In IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. ISSN 0018-9456, 2022, vol. 71. https://doi.org/10.1109/TIM.2022.3217572; WOS

19. [1.1] LI, Z. – YAN, Z. – LI, S. – SUN, G. – WANG, X. – ZHAO, D. – LI, Y. – LIU, X. Comparative study for multi-variable regression methods based on Laguerre polynomial and manifolds optimization. In ENGINEERING COMPUTATIONS, 2022, vol. 39, no. 8, p. 3058-3082. ISSN 0264-4401. https://doi.org/10.1108/EC-12-2021-0766; WOS

20. [1.1] LI, Z.B. – YAN, Z.X. – LI, S.C. – SUN, G.M. – WANG, X. – ZHAO, D.Q. – LI, Y. – LIU, X.C. Comparative study for multi-variable regression methods based on Laguerre polynomial and manifolds optimization. In ENGINEERING COMPUTATIONS. ISSN 0264-4401, AUG 23 2022, vol. 39, no. 8, p. 3058-3082. https://doi.org/10.1108/EC-12-2021-0766; WOS

21. [1.1] LIN, J.Q. – LI, X.L. – CHEN, M.S. – WANG, C.D. – ZHANG, H.Z. Incomplete Data Meets Uncoupled Case: A Challenging Task of Multiview Clustering. In IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 2022, ISSN 2162-237X. https://doi.org/10.1109/TNNLS.2022.3224748; WOS

22. [1.1] LIU, Q. – JIA, M.W. – GAO, Z.L. – XU, L.F. – LIU, Y. Correntropy long short term memory soft sensor for quality prediction in industrial polyethylene process. In CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. ISSN 0169-7439, DEC 15 2022, vol. 231. https://doi.org/10.1016/j.chemolab.2022.104678; WOS

23. [1.1] MA, H. – WANG, Y. – JI, Z.C. – DING, F. A Novel Three-Stage Quality Oriented Data-Driven Nonlinear Industrial Process Monitoring Strategy. In IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. ISSN 0018-9456, 2022, vol. 71. https://doi.org/10.1109/TIM.2022.3208652; WOS

24. [1.1] PICCA, A. – CALVANI, R. – COELHO-JUNIOR, H.J. – MARINI, F. – LANDI, F. – MARZETTI, E. Circulating Inflammatory, Mitochondrial Dysfunction, and Senescence-Related Markers in Older Adults with Physical Frailty and Sarcopenia: A BIOSPHERE Exploratory Study. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. NOV 2022, vol. 23, no. 22. https://doi.org/10.3390/ijms232214006; WOS

25. [1.1] REIS, M.S. – JIANG, B.B. Predicting the lifetime of Lithium-Ion batteries: Integrated feature extraction and modeling through sequential Unsupervised-Supervised Projections (USP). In CHEMICAL ENGINEERING SCIENCE. ISSN 0009-2509, APR 28 2022, vol. 252. https://doi.org/10.1016/j.ces.2022.117510; WOS

26. [1.1] ROSENFELD, A. – ERK, K. An analysis of property inference methods. In NATURAL LANGUAGE ENGINEERING. ISSN 1351-3249, 2022. https://doi.org/10.1017/S1351324921000267; WOS

27. [1.1] SETON, R. – PERSSON, A. A structured evaluation of regression models for predicting CO2 concentration from plasma emission spectra. In SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY. ISSN 0584-8547, 2022, vol. 194. https://doi.org/10.1016/j.sab.2022.106467; WOS

28. [1.1] SETON, R. – PERSSON, A. A structured evaluation of regression models for predicting CO2 concentration from plasma emission spectra. In SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY. ISSN 0584-8547, AUG 2022, vol. 194. https://doi.org/10.1016/j.sab.2022.106467; WOS

29. [1.1] SHADABI, L. – WARD, F.A. Predictors of access to safe drinking water: policy implications. In WATER POLICY. ISSN 1366-7017, 2022, vol. 24, no. 6, p. 1034-1060. https://doi.org/10.2166/wp.2022.037; WOS

30. [1.1] SHADABI, L. – WARD, F.A. Predictors of access to safe drinking water: policy implications. In WATER POLICY. ISSN 1366-7017, JUN 2022, vol. 24, no. 6, p. 1034-1060. https://doi.org/10.2166/wp.2022.037; WOS

31. [1.1] SOTUDIAN, S. – PASCHALIDIS, I.C. Machine Learning for Pharmacogenomics and Personalized Medicine: A Ranking Model for Drug Sensitivity Prediction. In IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. ISSN 1545-5963, JUL-AUG 2022, vol. 19, no. 4, p. 2324-2333. https://doi.org/10.1109/TCBB.2021.3084562; WOS

32. [1.1] TASKIN, G. – CAMPS-VALLS, G. Graph Embedding via High Dimensional Model Representation for Hyperspectral Images. In IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. ISSN 0196-2892, 2022, vol. 60. https://doi.org/10.1109/TGRS.2021.3133957; WOS

33. [1.1] VIJAYAKUMAR, R. – CHOI, J.Y. – JUNG, E.H. A Unified Neural Network Framework for Extended Redundancy Analysis. In PSYCHOMETRIKA. ISSN 0033-3123, 2022, vol. 87, no. 4, p. 1503-1528. https://doi.org/10.1007/s11336-022-09853-x; WOS

34. [1.1] VIJAYAKUMAR, R. – CHOI, J.Y. – JUNG, E.H. A Unified Neural Network Framework for Extended Redundancy Analysis. In PSYCHOMETRIKA. ISSN 0033-3123, DEC 2022, vol. 87, no. 4, p. 1503-1528. https://doi.org/10.1007/s11336-022-09853-x; WOS

35. [1.1] WANG, H.P. – CHU, X.L. – CHEN, P. – LI, J.Y. – LIU, D. – XU, Y.P. Partial least squares regression residual extreme learning machine (PLSRR-ELM) calibration algorithm applied in fast determination of gasoline octane number with near-infrared spectroscopy. In FUEL. ISSN 0016-2361, FEB 1 2022, vol. 309. https://doi.org/10.1016/j.fuel.2021.122224; WOS

36. [1.1] WANG, J.Y. – LU, Y.F. – XIN, C. – YOO, C. – LIU, H.B. Kernel PLS with AdaBoost ensemble learning for particulate matters forecasting in subway environment. In MEASUREMENT. ISSN 0263-2241, NOV 30 2022, vol. 204. https://doi.org/10.1016/j.measurement.2022.111974; WOS

37. [1.1] YAN, S. – YAN, X. Learning Output Relevant Features by Joint Autoencoder. In IEEE TRANSACTIONS ON CYBERNETICS. ISSN 2168-2267, 2022. https://doi.org/10.1109/TCYB.2022.3185588; WOS

38. [1.1] YAN, S.F. – YAN, X.F. Learning Output Relevant Features by Joint Autoencoder. In IEEE TRANSACTIONS ON CYBERNETICS. 2022, ISSN 2168-2267. https://doi.org/10.1109/TCYB.2022.3185588; WOS

39. [1.1] YIN, S.L. – LI, Y.G. – SUN, B. – FENG, Z.X. – YAN, F. – MA, Y.Y. Mixed kernel principal component weighted regression based on just-in-time learning for soft sensor modeling. In MEASUREMENT SCIENCE AND TECHNOLOGY. ISSN 0957-0233, JAN 2022, vol. 33, no. 1. https://doi.org/10.1088/1361-6501/ac2ca4; WOS

40. [1.1] YOU, L.X. – CHEN, J.H. Autogenerated Multilocal PLS Models without Pre-classification for Quality Monitoring of Nonlinear Processes with Unevenly Distributed Data. In INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. ISSN 0888-5885, MAY 4 2022, vol. 61, no. 17, p. 5898-5913. https://doi.org/10.1021/acs.iecr.1c04461; WOS

41. [1.1] YUAN, P. – ZHAO, L.P. KPLS-Based Mach Number Prediction for Multi-Mode Wind Tunnel Flow System. In PROCESSES. SEP 2022, vol. 10, no. 9. https://doi.org/10.3390/pr10091718; WOS

42. [1.1] YUAN, X. – RAO, J. – WANG, Y. – YE, L. – WANG, K. Virtual Sensor Modeling for Nonlinear Dynamic Processes Based on Local Weighted PSFA. In IEEE SENSORS JOURNAL, 2022, vol. 22, no. 21, p. 20655-20664. ISSN 1530-437X. https://doi.org/10.1109/JSEN.2022.3196011; WOS

43. [1.1] ZHANG, H.T. – ZHU, Q.Q. Concurrent Multilayer Fault Monitoring with Nonlinear Latent Variable Regression. In INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. ISSN 0888-5885, JAN 26 2022, vol. 61, no. 3, p. 1423-1442. https://doi.org/10.1021/acs.iecr.1c03360; WOS

44. [1.1] ZHANG, X. – YU, L. – YIN, H. – LAI, K.K. Integrating data augmentation and hybrid feature selection for small sample credit risk assessment with high dimensionality. In COMPUTERS & OPERATIONS RESEARCH. ISSN 0305-0548, 2022, vol. 146. https://doi.org/10.1016/j.cor.2022.105937; WOS

45. [1.1] ZHAO, C. Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence. In JOURNAL OF PROCESS CONTROL. ISSN 0959-1524, 2022, vol. 116, p. 255-272. https://doi.org/10.1016/j.jprocont.2022.06.011; WOS

46. [1.1] ZHAO, C.H. Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence. In JOURNAL OF PROCESS CONTROL. ISSN 0959-1524, AUG 2022, vol. 116, p. 255-272. https://doi.org/10.1016/j.jprocont.2022.06.011; WOS

47. [1.2] KONG, X. – GE, Z. Deep PLS: A Lightweight Deep Learning Model for Interpretable and Efficient Data Analytics. In IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. ISSN 2162-237X, 2022. https://doi.org/10.1109/TNNLS.2022.3154090; SCOPUS

48. [1.2] WANG, M. – XU, Y. – YANG, Y. – MU, B. – NIKITINA, M.A. – XIAO, X. Vis/NIR optical biosensors applications for fruit monitoring. In BIOSENSORS AND BIOELECTRONICS: X. ISSN 2590-1370, 2022, vol. 11. https://doi.org/10.1016/j.biosx.2022.100197; SCOPUS

49. [1.2] YUAN, X. – XU, W. – WANG, K. – WANG, Y. Layer-wise feature extraction approaches with deep PLS for quality prediction in industrial process. In IEEE 11TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, 2022, p. 1285-1290. https://doi.org/10.1109/DDCLS55054.2022.9858361; SCOPUS

50. [3.1] BIAN, X. Nonlinear Calibration Methods. In CHEMOMETRIC METHODS IN ANALYTICAL SPECTROSCOPY TECHNOLOGY. ISBN 978-981-19-1624-3, Springer, 2022, p. 255-295. https://doi.org/10.1007/978-981-19-1625-0

51. [3.1] DIXON, M.F. – POLSON, N.G. – GOICOECHEA, K. Deep Partial Least Squares for Empirical Asset Pricing. In arXiv, 2022. https://doi.org/10.48550/arXiv.2206.10014

52. [3.1] KARIMI, A. – DARABI, R. – POORFAKHARAN, M.R. – MOGHADAM, H. The Role of Financial Ratios in Explaining Information Quality Using the Factor Analysis Approach. In THE IRANIAN JOURNAL OF ACCOUNTING, AUDITING AND FINANCE (IJAAF). ISSN 2717-4131, 2022. https://doi.org/10.22067/ijaaf.2022.74693.1090

53. [3.1] SABZIPARVAR, A. – JAHROMI, F.K. Evaluating the most effective climatic parameters affecting the monthly mean soil temperature estimates using the PLS method. In ARABIAN JOURNAL OF GEOSCIENCES. ISSN 1866-7511, 2022, vol. 15, art. no. 1044. https://doi.org/10.1007/s12517-022-10297-x

54. [3.1] WANG, X. – ZHANG, G. – LEI, W. – ZHANG, Y. A calibration parameter estimation method of analog control module for nulling unit. In 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC MATERIALS AND INFORMATION ENGINEERING, 2022, ISBN 978-3-8007-5961-3. https://ieeexplore-1ieee-1org-1dikuii5c0ddb.erproxy.cvtisr.sk/document/10048362

55. [3.1] ZHOU, L. – SHEN, C. – WU, C. – HOU, B. – SONG, Z. Deep fusion feature extraction network and its application in chemical process soft sensing. In CIESC JOURNAL, 2022, vol. 73, no. 7. p. 3156-3165, DOI: 10.11949/0438-1157.20220349

 

• ROSIPAL, Roman – LEWANDOWSKI, A. – DORFFNER, G. In search of objective components for sleep quality indexing in normal sleep. In Biological Psychology, 2013, vol. 94, no. 1, p. 210-220. (2012: 3.399 – IF, Q1 – JCR, 1.909 – SJR, Q1 – SJR). (2013 – Current Contents). ISSN 0301-0511. https://doi.org/10.1016/j.biopsycho.2013.05.014

WOS citations: 6; SCOPUS citations: 2; other citations: 1

1. [1.1] CUDNEY, L.E. – FREY, B.N. – MCCABE, R.E. – GREEN, S.M. Investigating the relationship between objective measures of sleep and self-report sleep quality in healthy adults: a review. In JOURNAL OF CLINICAL SLEEP MEDICINE. ISSN 1550-9389, MAR 1 2022, vol. 18, no. 3, p. 927-936. https://doi.org/10.5664/jcsm.9708; WOS

2. [1.1] HERMANS, L.W. – HUIJBEN, I.A. – VAN GORP, H. – LEUFKENS, T.R. – FONSECA, P. – OVEREEM, S. – VAN GILST, M.M. Representations of temporal sleep dynamics: Review and synthesis of the literature. In SLEEP MEDICINE REVIEWS, 2022, vol. 63, p. ISSN 1087-0792. https://doi.org/10.1016/j.smrv.2022.101611; WOS

3. [1.1] MAYELI, A. – JANSSEN, S.A. – SHARMA, K. – FERRARELLI, F. Examining First Night Effect on Sleep Parameters with hd-EEG in Healthy Individuals. In BRAIN SCIENCES. FEB 2022, vol. 12, no. 2. https://doi.org/10.3390/brainsci12020233; WOS

4. [1.1] MCCARTER, S.J. – HAGEN, P.T. – ST LOUIS, E.K. – RIECK, T.M. – HAIDER, C.R. – HOLMES, D.R. – MORGENTHALER, T.I. Physiological markers of sleep quality: A scoping review. In SLEEP MEDICINE REVIEWS. ISSN 1087-0792, AUG 2022, vol. 64. https://doi.org/10.1016/j.smrv.2022.101657; WOS

5. [1.1] NEMETH, G. The route to recall a dream: theoretical considerations and methodological implications. In PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG. ISSN 0340-0727, 2022. https://doi.org/10.1007/s00426-022-01722-7; WOS

6. [1.1] SPRAJCER, M. – GUPTA, C. – ROACH, G. – SARGENT, C. Can we put the first night effect to bed? An analysis based on a large sample of healthy adults. In CHRONOBIOLOGY INTERNATIONAL. ISSN 0742-0528, DEC 2 2022, vol. 39, no. 12, p. 1567-1573. https://doi.org/10.1080/07420528.2022.2133611; WOS

7. [1.2] JEONG, J.H. – CHO, J.H. – LEE, Y.E. – LEE, S.H. – SHIN, G.H. – KWEON, Y.S. – MILLAN, J.R. – MULLER, K.R. – LEE, S.W. 2020 International brain–computer interface competition: A review. In FRONTIERS IN HUMAN NEUROSCIENCE, 2022, vol. 16. https://doi.org/10.3389/fnhum.2022.898300; SCOPUS

8. [1.2] SATAPATHY, S. – LOGANATHAN, D. – BHOI, A.K. – BARSOCCHI, P. Effects of EEG-sleep irregularities and its behavioral aspects: review and analysis. In COGNITIVE AND SOFT COMPUTING TECHNIQUES FOR THE ANALYSIS OF HEALTHCARE DATA, 2022, p. 239-267. https://doi.org/10.1016/B978-0-323-85751-2.00009-8; SCOPUS

9. [3.1] KAWAHARA, M. – KAGITANI-SHIMONO, K. – KATO-NISHIMURA, K. – OHKI, N. – TACHIBANA, M. – KATO, T. – TANIIKE, M. – MOHRI, I. A preliminary study of sleep spindles across non-rapid eye movement sleep stages in children with autism spectrum disorder. In SLEEP ADVANCES. ISSN 2632-5012, 2022, vol. 3, no. 1. https://doi.org/10.1093/sleepadvances/zpac037

 

• ROŠŤÁKOVÁ, Zuzana – ROSIPAL, Roman. Profiling continuous sleep representations for better understanding of the dynamic character of normal sleep. In Artificial Intelligence in Medicine, 2019, vol. 97, p. 152-167. (2018: 3.574 – IF, Q1 – JCR, 1.025 – SJR, Q1 – SJR). (2019 – Current Contents). ISSN 0933-3657. https://doi.org/10.1016/j.artmed.2018.12.009

WOS citations: 1

1. [1.1] LAMBEK, R. – THOMSEN, P.H. – SONUGA-BARKE, E.J.S. – JENNUM, P. – SORENSEN, A.V. The Association between Sleep Problems and Neuropsychological Deficits in Medication-naive Children with ADHD. In BEHAVIORAL SLEEP MEDICINE, ISSN 1540-2002, 2022, vol. 20, no. 4, p. 429-441. https://doi.org/10.1080/15402002.2021.1931222; WOS

 

• ROŠŤÁKOVÁ, Zuzana – ROSIPAL, Roman. Determination of the number of components in the PARAFAC model with a nonnegative tensor structure: A simulated EEG data study. In Neural Computing & Applications, 2022, vol. 34, p. 14793-14805. (2021: 5.102 – IF, Q2 – JCR, 1.072 – SJR, Q1 – SJR). (2022 – Current Contents). ISSN 0941-0643. https://doi.org/10.1007/s00521-022-07318-x

Other citations: 1

1. [3.1] BAILEY, N.W. – BIABANI, M. – HILL, A.T. – MILJEVIC, A. – ROGASCH, N.C. – MCQUEEN, B. – MURPHY, O. – FITZGERALD, P.B. Introducing RELAX (the Reduction of Electroencephalographic Artifacts): A fully automated pre-processing pipeline for cleaning EEG data – Part 1: Algorithm and Application to Oscillations. In bioRxiv, 2022, https://doi.org/10.1101/2022.03.08.483548

 

• RUBLÍK, František. The multisample version of the Lepage test. In Kybernetika, 2005, vol. 41, no. 6, p. 713-733. (2004: 0.224 – IF). (2005 – Current Contents). ISSN 0023-5954.

WOS citations: 2

1. [1.1] MUKHERJEE, A. – KOSSLER, W. – MAROZZI, M. A distribution-free procedure for testing versatile alternative in medical multisample comparison studies. In STATISTICS IN MEDICINE. ISSN 0277-6715, JUL 20 2022, vol. 41, no. 16, p. 2978-3002. https://doi.org/10.1002/sim.9397; WOS

2. [1.1] MUKHERJEE, A. – MURAKAMI, H. Multivariate Kruskal_Wallis tests based on principal component score and latent source of independent component analysis. In AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS. ISSN 1369-1473, SEP 2022, vol. 64, no. 3, p. 356-380. https://doi.org/10.1111/anzs.12371; WOS

 

• RUBLÍK, František. On the asymptotic efficiency of the multisample location-scale rank tests and their adjustment for ties. In Kybernetika, 2007, vol. 43, no. 3, p. 279-306. (2006: 0.293 – IF, Q4 – JCR, 0.259 – SJR, Q2 – SJR). (2007 – Current Contents). ISSN 0023-5954.

WOS citations: 1

1. [1.1] MUKHERJEE, A. – MURAKAMI, H. Multivariate Kruskal_Wallis tests based on principal component score and latent source of independent component analysis. In AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS. ISSN 1369-1473, SEP 2022, vol. 64, no. 3, p. 356-380. https://doi.org/10.1111/anzs.12371; WOS

 

• RUBLÍK, František. Estimates of the covariance matrix of vectors of U-statistics and confidence regions for vectors of Kendall’s tau. In Kybernetika, 2016, vol. 52, no. 2, p. 280-293. (2015: 0.628 – IF, Q4 – JCR, 0.321 – SJR, Q2 – SJR). (2016 – Current Contents). ISSN 0023-5954. https://doi.org/10.14736/kyb-2016-2-0280

WOS citations: 1; other citations: 1

1. [1.1] PERREAULT, S. – NESLEHOVA, J. – DUCHESNE, T. Hypothesis tests for structured rank correlation matrices. In JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. ISSN 0162-1459, 2022. https://doi.org/10.1080/01621459.2022.2096619; WOS

2. [3.1] PERREAULT, S. Efficient inference for Kendall’s tau. In arXiv, 2022, https://doi.org/10.48550/arXiv.2206.04019

 

• RUBLÍK, František. On optimality of the LR tests in the sense of exact slopes. Part 1, general case. In Kybernetika, 1989, vol. 25, p. 13-25. (1989 – Current Contents). ISSN 0023-5954.

WOS citations: 2

1. [1.1] MEINTANIS, S. – MILOŠEVIĆ, B.  – OBRADOVIĆ, M. Bahadur efficiency for certain goodness-of-fit tests based on the empirical characteristic function. In METRIKA. ISSN 0026-1335, 2022. https://doi.org/10.1007/s00184-022-00891-0; WOS

2. [1.1] STEHLÍK, M. – SABOLOVÁ, R. – SEČKÁROVÁ, V. – NÚÑEZ SOZA, L. – KISEĽÁK, J. I-divergence based statistical inference for heteroscedasticity and compounds of arsenic contamination in Chile. In CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. ISSN 0169-7439, 2022, vol. 226, p. 104579. https://doi.org/10.1016/j.chemolab.2022.104579; WOS

 

• RUBLÍK, František. A quantile goodness-of-fit test applicable to distributions with non-differentiable densities. In Kybernetika, 1997, vol. 33, no. 5, p. 505-524. (1997 – Current Contents). ISSN 0023-5954.

WOS citations: 1

1. [1.1] BATSIDIS, A. – ECONOMOU, P. – BAR-LEV, S.K. A Comparative Study of Goodness-of-Fit Tests for the Laplace Distribution. In AUSTRIAN JOURNAL OF STATISTICS. ISSN 1026-597X, 2022, vol, 51, p. 91-123. https://doi.org/10.17713/ajs.v51i2.1251; WOS

 

• RUBLÍK, František. On optimality of the LR tests in the sense of exact slopes. Part 2, application to individual distributions. In Kybernetika, 1989, vol. 25, p. 117-135. (1989 – Current Contents). ISSN 0023-5954.

WOS citations: 1

1. [1.1] STEHLÍK, M. – SABOLOVÁ, R. – SEČKÁROVÁ, V. – NÚÑEZ SOZA, L. – KISEĽÁK, J. I-divergence based statistical inference for heteroscedasticity and compounds of arsenic contamination in Chile. In CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. ISSN 0169-7439, 2022, vol. 226, p. 104579. https://doi.org/10.1016/j.chemolab.2022.104579; WOS

 

• SAROV, Y. – CAPEK, Ignác. Kinetic events of (micro)emulsion polymerization of styrene. In Polymer Bulletin, 2020, vol. 77, no. 9, p. 4851–4865. (2019: 2.014 – IF, Q2 – JCR, 0.396 – SJR, Q2 – SJR). (2020 – Current Contents). ISSN 0170-0839. https://doi.org/10.1007/s00289-019-02976-9

WOS citations: 2; SCOPUS citations: 1

1. [1.1] EZHOVA, A.A. – GRITSKOVA, I.A. – ARTAMONOVA, N.E. – KAMYSHINSKY, R.A. – YASTREMSKY, E.V. – CHVALUN, S.N. Polymerization of styrene and methyl methacrylate during the formation of particles of polymer suspensions stabilized by oligodimethylsiloxanes in various temperature conditions. In IZVESTIYA VYSSHIKH UCHEBNYKH ZAVEDENII KHIMIYA I KHIMICHESKAYA TEKHNOLOGIYA. ISSN 0579-2991, 2022, vol. 65, no. 2, p. 60-67. https://doi.org/10.6060/ivkkt.20226502.6491; WOS

2. [1.1] PULINGAM, T. – FOROOZANDEH, P. – CHUAH, J.A. – SUDESH, K. Exploring Various Techniques for the Chemical and Biological Synthesis of Polymeric Nanoparticles. In NANOMATERIALS. FEB 2022, vol. 12, no. 3. https://doi.org/10.3390/nano12030576; WOS

3. [1.2] SAUTINA, N.V. – RYBAKOVA, A.I. – GALYAMETDINOV, Y.G. The Influence of the Synergistic Effects of Sodium Bis(2-ethylhexyl)sulfosuccinate and Lecithin at the Water/Liquid Paraffin–Oil Interface on the Properties of Self-Organizing Structures. In POLYMER SCIENCE SERIES D, 2022, vol. 15, no. 2, p. 283-288. ISSN 1995-4212. https://doi.org/10.1134/S1995421222020228; SCOPUS

 

• SENNA, M. – BILLIK, Peter – YERMAKOV, A.Ye. – ŠKRÁTEK, Martin – MAJEROVÁ, Melinda – ČAPLOVIČOVÁ, M. – MIČUŠÍK, M. – ČAPLOVIČ, L. – BUJDOŠ, M. – NOSKO, M. Synthesis and magnetic properties of CuAlO2 from high-energy ball-milled Cu2O–Al2O3 mixture. In Journal of Alloys and Compounds, 2017, vol. 695, p. 2314-2323. (2016: 3.133 – IF, Q1 – JCR, 0.954 – SJR, Q1 – SJR). (2017 – Current Contents). ISSN 0925-8388. https://doi.org/10.1016/j.jallcom.2016.11.097

WOS citations: 1; SCOPUS citations: 1; other citations: 1

1. [1.1] BOYRAZ, C. – GULER, A. – KARATAS, O. – AKSU, P. – ALPHAN, M.C. – ARDA, L. The Investigation of Effect of Defects on the Structural, Optical, and Magnetic Properties of CuAlO2. In ACTA PHYSICA POLONICA A. ISSN 0587-4246, OCT 2022, vol. 142, no. 4, p. 464-472. https://doi.org/10.12693/APhysPolA.142.464; WOS

2. [1.2] LIU, X.Y. – ZHANG, X.J. – YANG, S.Q. – HAN, J. – LI, Y.F. – ZHANG, L. – GAO, Z.X. Study on wet air oxidation of phenol catalyzed by LaFeOinf3/inf perovskite. In RANLIAO HUAXUE XUEBAO/JOURNAL OF FUEL CHEMISTRY AND TECHNOLOGY, 2022, vol. 50, no. 11, p. 1491-1497. ISSN 2097-213X. https://doi.org/10.19906/j.cnki.JFCT.2022044; SCOPUS

3. [3.1] KIM, D. – KONG, M. – KANG, M. – KIM, M. – KIM, S. – KIM, Y. – YOON, S. – OK, J. Growth of delafossite CuAlO2 single crystals in a reactive crucible. In arXiv 2022, https://doi.org/10.48550/arXiv.2205.10979

 

• SCHMID, A. – MEYERSPEER, M. – ROBINSON, S. – GOLUCH, S. – WOLZT, M. – FIEDLER, G.B. – BOGNER, W. – LAISTLER, E. – KRŠŠÁK, M. – MOSER, E. – TRATTNIG, S. – VALKOVIČ, Ladislav. Dynamic PCr and pH imaging of human calf muscles during exercise and recovery using 31P gradient-Echo MRI at 7 Tesla. In Magnetic Resonance in Medicine, 2016, vol. 75, no. 6, p. 2324-2331. (2015: 3.782 – IF, Q1 – JCR, 2.329 – SJR, Q1 – SJR). (2016 – Current Contents). ISSN 0740-3194. https://doi.org/10.1002/mrm.25822

WOS citations: 1

1. [1.1] XU, J. – CHUNG, J.J. – JIN, T. Chemical exchange saturation transfer imaging of creatine, phosphocreatine, and protein arginine residue in tissues. In NMR IN BIOMEDICINE, 2022. ISSN 0952-3480. https://doi.org/10.1002/nbm.4671; WOS

 

• SCHMID-SCHWAP, M. – BRISTELA, M. – PITTSCHIELER, E. – SKOLKA, A. – SZOMOLÁNYI, Pavol – WEBER, M. – PIEHSLINGER, E. – TRATTNIG, S. Biochemical analysis of the articular disc of the temporomandibular joint with magnetic resonance T2 mapping: A feasibility study. In Clinical Oral Investigations, 2014, vol. 18, no. 7, p. 1865-1871. (2013: 2.285 – IF, Q1 – JCR, 1.085 – SJR, Q1 – SJR). (2014 – Current Contents). ISSN 1432-6981. https://doi.org/10.1007/s00784-013-1154-5

WOS citations: 3

1. [1.1] ECKSTEIN, F.M. – WURM, M.C. – ECKSTEIN, M. – WIESMULLER, M. – MULLER, M. – JEHN, P. – SODER, S. – SCHLITTENBAUER, T. Imaging, histopathological degree of degeneration and clinical findings – Do these correlate in patients with temporomandibular joint disorders. In JOURNAL OF STOMATOLOGY ORAL AND MAXILLOFACIAL SURGERY. ISSN 2468-8509, JUN 2022, vol. 123, no. 3, p. 353-357. https://doi.org/10.1016/j.jormas.2021.05.002; WOS

2. [1.1] REGULSKI, P.A. – ZIELINSKI, J. – SZOPINSKI, K.T. Temporomandibular Disk Dislocation Impacts the Stomatognathic System: Comparative Study Based on Biexponential Quantitative T2 Maps. In JOURNAL OF CLINICAL MEDICINE. MAR 2022, vol. 11, no. 6. https://doi.org/10.3390/jcm11061621; WOS

3. [1.1] WONGRATWANICH, P. – NAGASAKI, T. – SHIMABUKURO, K. – KONISHI, M. – OHTSUKA, M. – SUEI, Y. – NAKAMOTO, T. – AKIYAMA, Y. – AWAI, K. – KAKIMOTO, N. Intra- and inter-examination reproducibility of T2 mapping for temporomandibular joint assessment at 3.0 T. In SCIENTIFIC REPORTS. ISSN 2045-2322, JUN 29 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-15184-9; WOS

 

• SCHOENBAUER, E. – SZOMOLÁNYI, Pavol – SHIOMI, T. – JURÁŠ, Vladimír – ZBÝŇ, Š. – ZAK, L. – WEBER, M. – TRATTNIG, S. Cartilage evaluation with biochemical MR imaging using in vivo Knee compression at 3T-comparison of patients after cartilage repair with healthy volunteers. In Journal of Biomechanics, 2015, vol. 48, no. 12, p. 3349–3355. (2014: 2.751 – IF, Q2 – JCR, 1.238 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 0021-9290. https://doi.org/10.1016/j.jbiomech.2015.06.016

WOS citations: 1

1. [1.1] UZUNER, S. – KUNTZE, G. – LI, L.P. – RONSKY, J.L. – KUCUK, S. Creep behavior of human knee joint determined with high-speed biplanar video-radiography and finite element simulation. In JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS. ISSN 1751-6161, JAN 2022, vol. 125. https://doi.org/10.1016/j.jmbbm.2021.104905; WOS

 

• SCHULZ, E. – TIEMANN, L. – WITKOVSKÝ, Viktor – SCHMIDT, P. – PLONER, M. Gamma oscillations are involved in the sensorimotor transformation of pain. In Journal of Neurophysiology, 2012, vol. 108, p. 1025-1031. (2011: 3.316 – IF, Q2 – JCR, 2.848 – SJR, Q1 – SJR). (2012 – Current Contents). ISSN 0022-3077. https://doi.org/10.1152/jn.00186.2012

WOS citations: 1

1. [1.1] TAESLER, P. – ROSE, M. Multivariate prediction of pain perception based on pre-stimulus activity. In SCIENTIFIC REPORTS. ISSN 2045-2322, 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-07208-1; WOS

 

• SCHULZ, E. – MAY, E.S. – POSTORINO, M. – TIEMANN, L. – NICKEL, M.M. – WITKOVSKÝ, Viktor – SCHMIDT, P. – GROSS, J. – PLONER, M. Prefrontal gamma oscillations encode tonic pain in humans. In Cerebral Cortex, 2015, vol. 25, no. 11, p. 4407-4414. (2014: 8.665 – IF, Q1 – JCR, 4.887 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 1047-3211. https://doi.org/10.1093/cercor/bhv043

WOS citations: 16; SCOPUS citations: 1; other citations: 6

1. [1.1] DE PASCALIS, V. – VECCHIO, A. The influence of EEG oscillations, heart rate variability changes, and personality on self-pain and empathy for pain under placebo analgesia. In SCIENTIFIC REPORTS. ISSN 2045-2322, APR 11 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-10071-9; WOS

2. [1.1] GELEBART, J. – GARCIA-LARREA, L. – FROT, M. Amygdala and anterior insula control the passage from nociception to pain. In CEREBRAL CORTEX. ISSN 1047-3211, 2022. https://doi.org/10.1093/cercor/bhac290; WOS

3. [1.1] GREYSON, B. – VAN LOMMEL, P. – FENWICK, P. Commentary: Enhanced Interplay of Neuronal Coherence and Coupling in the Dying Human Brain. In FRONTIERS IN AGING NEUROSCIENCE. ISSN 1663-4365, MAY 18 2022, vol. 14. https://doi.org/10.3389/fnagi.2022.899491; WOS

4. [1.1] HSIAO, F.J. – CHEN, W.T. – PAN, L.L.H. – LIU, H.Y. – WANG, Y.F. – CHEN, S.P. – LAI, K.L. – COPPOLA, G. – WANG, S.J. Resting-state magnetoencephalographic oscillatory connectivity to identify patients with chronic migraine using machine learning. In JOURNAL OF HEADACHE AND PAIN. ISSN 1129-2369, DEC 2022, vol. 23, no. 1. https://doi.org/10.1186/s10194-022-01500-1; WOS

5. [1.1] JELINCIC, V. – VAN DIEST, I. – TORTA, D.M. – VON LEUPOLDT, A. The breathing brain: The potential of neural oscillations for the understanding of respiratory perception in health and disease. In PSYCHOPHYSIOLOGY. ISSN 0048-5772, 2022, vol. 59, no. 5. https://doi.org/10.1111/psyp.13844; WOS

6. [1.1] LYU, Y.Y. – ZIDDA, F. – RADEV, S.T. – LIU, H.C. – GUO, X.L. – TONG, S.B. – FLOR, H. – ANDOH, J. Gamma Band Oscillations Reflect Sensory and Affective Dimensions of Pain. In FRONTIERS IN NEUROLOGY. ISSN 1664-2295, JAN 10 2022, vol. 12. https://doi.org/10.3389/fneur.2021.695187; WOS

7. [1.1] MADDISON, R. – NAZAR, H. – OBARA, I. – VUONG, Q.C. The efficacy of sensory neural entrainment on acute and chronic pain: A systematic review and meta-analysis. In BRITISH JOURNAL OF PAIN. ISSN 2049-4637, 2022. https://doi.org/10.1177/20494637221139472; WOS

8. [1.1] MUSSIGMANN, T. – BARDEL, B. – LEFAUCHEUR, J.P. Resting-state electroencephalography (EEG) biomarkers of chronic neuropathic pain. A systematic review. In NEUROIMAGE. ISSN 1053-8119, SEP 2022, vol. 258. https://doi.org/10.1016/j.neuroimage.2022.119351; WOS

9. [1.1] OCAY, D.D. – YE, D.L. – LARCHE, C.L. – POTVIN, S. – MARCHAND, S. – FERLAND, C.E. Clusters of facilitatory and inhibitory conditioned pain modulation responses in a large sample of children, adolescents, and young adults with chronic pain. In PAIN REPORTS. NOV-DEC 2022, vol. 7, no. 6. https://doi.org/10.1097/PR9.0000000000001032; WOS

10. [1.1] OSWALD, M.J. – HAN, Y. – LI, H. – MARASHLI, S. – OGLO, D.N. – OJHA, B. – NASER, P.V. – GAN, Z. – KUNER, R. Cholinergic basal forebrain nucleus of Meynert regulates chronic pain-like behavior via modulation of the prelimbic cortex. In NATURE COMMUNICATIONS. ISSN 2041-1723, 2022, vol. 13, no. 1. https://doi.org/10.1038/s41467-022-32558-9; WOS

11. [1.1] RUSTAMOV, N. – WILSON, E.A. – FOGARTY, A.E. – CROCK, L.W. – LEUTHARDT, E.C. – HAROUTOUNIAN, S. Relief of chronic pain associated with increase in midline frontal theta power. In PAIN REPORTS. NOV-DEC 2022, vol. 7, no. 6. https://doi.org/10.1097/PR9.0000000000001040; WOS

12. [1.1] SAVIGNAC, C. – OCAY, D.D. – MAHDID, Y. – BLAIN-MORAES, S. – FERLAND, C.E. Clinical use of Electroencephalography in the Assessment of Acute Thermal Pain: A Narrative Review Based on Articles From 2009 to 2019. In CLINICAL EEG AND NEUROSCIENCE. ISSN 1550-0594, 2022, vol. 53, no. 2, p. 124-132. https://doi.org/10.1177/15500594211026280; WOS

13. [1.1] TAYEB, Z. – DRAGOMIR, A. – LEE, J.H. – ABBASI, N.I. – DEAN, E. – BANDLA, A. – BOSE, R. – SUNDAR, R. – BEZERIANOS, A. – THAKOR, N.V. – CHENG, G. Distinct spatio-temporal and spectral brain patterns for different thermal stimuli perception. In SCIENTIFIC REPORTS. ISSN 2045-2322, JAN 18 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-04831-w; WOS

14. [1.1] VALENTINI, E. – HALDER, S. – MCINNERNEY, D. – COOKE, J. – GYIMES, I.L. – ROMEI, V. Assessing the specificity of the relationship between brain alpha oscillations and tonic pain. In NEUROIMAGE. ISSN 1053-8119, JUL 15 2022, vol. 255. https://doi.org/10.1016/j.neuroimage.2022.119143; WOS

15. [1.1] WANG, H.L. – GUO, Y.F. – TU, Y.H. – PENG, W.W. – LU, X.J. – BI, Y.Z. – IANNETTI, G.D. – HU, L. Neural processes responsible for the translation of sustained nociceptive inputs into subjective pain experience. In CEREBRAL CORTEX. ISSN 1047-3211, 2022. https://doi.org/10.1093/cercor/bhac090; WOS

16. [1.1] ZIS, P. – LIAMPAS, A. – ARTEMIADIS, A. – TSALAMANDRIS, G. – NEOPHYTOU, P. – UNWIN, Z. – KIMISKIDIS, V.K. – HADJIGEORGIOU, G.M. – VARRASSI, G. – ZHAO, Y.F. – SARRIGIANNIS, P.G. EEG Recordings as Biomarkers of Pain Perception: Where Do We Stand and Where to Go?. In PAIN AND THERAPY. ISSN 2193-8237, JUN 2022, vol. 11, no. 2, p. 369-380. https://doi.org/10.1007/s40122-022-00372-2; WOS

17. [1.2] ALHAJRI, N. – BOUDREAU, S.A. – GRAVEN-NIELSEN, T. Angular gyrus connectivity at alpha and beta oscillations is reduced during tonic pain – Differential effect of eye state. In NEUROIMAGE: CLINICAL. ISSN 2213-1582, 2022, vol. 33, p. 102907. https://doi.org/10.1016/j.nicl.2021.102907; SCOPUS

18. [3.1] ANNONI, E.M. – THAKUR, P.H. – CLARK, B.A. – SRIVASTAVA, K.H. – GU, J. – KLEINEDLER, J.J. – TERNES. D.J. – PERSCHBACHER, D.L. Method and apparatus for pain control using baroreflex sensitivity during posture change. In US Patent, US11337646B2, 2022, https://patents.google.com/patent/US11337646B2/en

19. [3.1] CLARK, B.A. – ANNONI, E.M. – GU, J. – SRIVASTAVA, K.H. – THAKUR, P.H. – KLEINEDLER, J.J. – TERNES, D.J. Pain management based on functional measurements. In US Patent, US11395625B2, 2022, https://patents.google.com/patent/US11395625B2/en

20. [3.1] GREYSON, B. – VAN LOMMEL, P. – FENWICK, P. Recent Report of Electroencephalogram of a Dying Human Brain. In JOURNAL OF NEAR-DEATH STUDIES, 2022, vol. 40, no. 1. https://doi.org/10.17514/JNDS-2022-40-1-p5-11

21. [3.1] HU, S. – ZHANG, H. – CHEN, G. – HE, Y. – WANG, S. A study on the effects of thermal pain stimulation at the oral mucosa in EEG. In RESEARCH SQUARE, 2022, https://doi.org/10.21203/rs.3.rs-2234020/v1.

22. [3.1] KUNER, R. – OSWALD, M. – HAN, Y. – LI, H. – MARASHLI, S. – OGLOU, D.N. – NASER, P. – OJHA. B. – GAN, Z. A novel role for the cholinergic basal forebrain nucleus of Meynert in chronic pain via modulation of the prelimbic cortex. In RESEARCH SQUARE, 2022, https://doi.org/10.21203/rs.3.rs-1309454/v1.

23. [3.1] THAKUR, P.H. – GU, J. – CLARK, B.A. – TERNES, D.J. – PERSCHBACHER, D.L. – KLEINEDLER, J.J. – ANNONI, A.M. Systems and methods for closed-loop pain management. In US Patent, US11446499B2, 2022, https://patents.google.com/patent/US11446499B2/en

 

• SCHULZ, E. – STANKEWITZ, A. – WITKOVSKÝ, Viktor – WINKLER, A.M. – TRACEY, I. Strategy-dependent modulation of cortical pain circuits for the attenuation of pain. In Cortex, 2019, vol. 113, p. 255-266. (2018: 4.275 – IF, Q1 – JCR, 2.347 – SJR, Q1 – SJR). (2019 – Current Contents). ISSN 0010-9452. https://doi.org/10.1016/j.cortex.2018.12.014

WOS citations: 1; SCOPUS citations: 1; other citations: 1

1. [1.1] CAMPOLO, M. – CORREA, L. – GABARRON, E. – ALBAYRAK, M. – QUINTERO-DIAZ, C. – CASTELLOTE, J.M. – CASANOVA-MOLLA, J. – VALLS-SOLE, J. Adaptation to tonic heat in healthy subjects and patients with sensory polyneuropathy. In EUROPEAN JOURNAL OF PAIN. ISSN 1090-3801, 2022, vol. 26, no. 5, p. 1056-1068. https://doi.org/10.1002/ejp.1930; WOS

2. [1.2] MACKEY, S. – GILAM, G. – DARNALL, B. – GOLDIN, P. – KONG, J.T. – LAW, C. – HEIRICH, M. – KARAYANNIS, N. – KAO, M.C. – TIAN, L. – MANBER, R. – GROSS, J. Mindfulness-Based Stress Reduction, Cognitive Behavioral Therapy, and Acupuncture in Chronic Low Back Pain: Protocol for Two Linked Randomized Controlled Trials. In JMIR RESEARCH PROTOCOLS, 2022, vol. 11, no. 9. https://doi.org/10.2196/37823; SCOPUS

3. [3.1] ZHANG, Y. – ZHANG, Q. – BECKER, B. – KENDRICK, K.M. – YAO, S. Self-navigating the “Island of Reil”: a systematic review of real-time fMRI neurofeedback training of insula activity. In bioRxiv, 2022, https://doi.org/10.1101/2022.03.07.483236

 

• STADNIK, T.W. – CHASKIS, C. – MICHOTTE, A. – SHABANA, W.M. – VAN ROMPAEY, K. – LUYPAERT, R. – BUDINSKÝ, Ľuboš – JELLÚŠ, Vladimír – OSTEAUX, M. Diffusion-weighted MR imaging of intracerebral masses: comparison with conventional MR imaging and histologic findings. In American Journal of Neuroradiology, 2001, vol. 22, p. 969-976. (2000: 2.126 – IF). (2001 – Current Contents). ISSN 0195-6108.

WOS citations: 2; SCOPUS citations: 3; other citations: 1

1. [1.1] BROWN, D.A. – GOYAL, A. – RICHTER, K.R. – HAGLIN, J.M. – HIMES, B.T. – LU, V.M. – SNYDER, K. – HUGHES, J. – DECKER, P.A. – OPOKU-DARKO, M. – LINK, M.J. – BURNS, T.C. – PARNEY, I.F. Clinical utility of brain biopsy for presumed CNS relapse of systemic lymphoma. In JOURNAL OF NEUROSURGERY. ISSN 0022-3085, JAN 2022, vol. 136, no. 1, p. 30-39. https://doi.org/10.3171/2020.12.JNS202517; WOS

2. [1.1] WU, W.F. – SHEN, C.W. – LAI, K.M. – CHEN, Y.J. – LIN, E.C. – CHEN, C.C. The Application of DTCWT on MRI-Derived Radiomics for Differentiation of Glioblastoma and Solitary Brain Metastases. In JOURNAL OF PERSONALIZED MEDICINE. AUG 2022, vol. 12, no. 8. https://doi.org/10.3390/jpm12081276; WOS

3. [1.2] LIN, Q. Advances in the Application of Magnetic Resonance Imaging in the Diagnosis of Brain Diseases. In ACM INTERNATIONAL CONFERENCE PROCEEDING SERIES, 2022, p. 6-11. https://doi.org/10.1145/3563737.3563739; SCOPUS

4. [1.2] PRADEEP, D. – TEMBHRE, M.K. – PARIHAR, A.S. – RAO, C. Magnetic resonance imaging: Basic principles and advancement in clinical and diagnostics approaches in health care. In BIOMEDICAL IMAGING INSTRUMENTATION: APPLICATIONS IN TISSUE, CELLULAR AND MOLECULAR DIAGNOSTICS, 2022, p. 45-66. https://doi.org/10.1016/B978-0-323-85650-8.00005-X; SCOPUS

5. [1.2] YOUNG, G.S. – QU, J. – QIN, L. Advanced magnetic resonance imaging of brain tumours. In HANDBOOK OF NEURO-ONCOLOGY NEUROIMAGING, 2022, p. 185-201. https://doi.org/10.1016/B978-0-12-822835-7.00032-9; SCOPUS

6. [3.1] ROMANO, A. – BOLDRINI, L. – PIRAS, A. – VALENTINI, V. Use of Anatomical and Functional MRI in Radiation Treatment Planning. In IMAGE-GUIDED HIGH-PRECISION RADIOTHERAPY. Springer, 2022, p. 55-88. https://doi.org/10.1007/978-3-031-08601-4_3

 

• STANCIAKOVA, L. – DOBROTOVA, M. – HOLLY, P. – ZOLKOVA, J. – VADELOVA, L. – SKORNOVA, I. – IVANKOVA, J. – BOLEK, T. – SAMOS, M. – GRENDÁR, Marián – DANKO, J. – KUBISZ, P. – STASKO, J. How can rotational thromboelastometry as a point-of-care method be useful for the management of secondary thromboprophylaxis in high-risk pregnant patients? In Diagnostics, 2021, vol. 11, p. 828. (2020: 3.706 – IF, Q2 – JCR, 0.622 – SJR, Q3 – SJR). (2021 – Current Contents). ISSN 2075-4418. https://doi.org/10.3390/diagnostics11050828

WOS citations: 1

1. [1.1] PAVONI, V. – GIANESELLO, L. – CONTI, D. – BALLO, P. – DATTOLO, P. – PRISCO, D. – GOERLINGER, K. “In Less than No Time”: Feasibility of Rotational Thromboelastometry to Detect Anticoagulant Drugs Activity and to Guide Reversal Therapy. In JOURNAL OF CLINICAL MEDICINE, 2022, vol. 11, no. 5. https://doi.org/10.3390/jcm11051407; WOS

 

• STANKEWITZ, A. – KEIDEL, L. – REHM, M. – IRVING, S. – KACZMARZ, S. – PREIBISCH, C. – WITKOVSKÝ, Viktor – ZIMMER, C. – SCHULZ, E. – TOELLE, T.R. Migraine attacks as a result of hypothalamic loss of control. In NeuroImage-Clinical, 2021, vol. 32, art. no. 102784. (2020: 4.881 – IF, Q2 – JCR, 1.772 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 2213-1582. https://doi.org/10.1016/j.nicl.2021.102784

WOS citations: 7; SCOPUS citations: 1

1. [1.1] LEGARDA, S.B. – MICHAS-MARTIN, P.A. – MCDERMOTT, D. Remediating Intractable Headache: An Effective Nonpharmacological Approach Employing Infralow Frequency Neuromodulation. In FRONTIERS IN HUMAN NEUROSCIENCE. ISSN 1662-5161, JUL 8 2022, vol. 16. https://doi.org/10.3389/fnhum.2022.894856; WOS

2. [1.1] LO CASCIO, S. – CORRENTI, E. – D’;AGOSTINO, S. – CAPIZZI, M. – MARINO, A. – MELI, R. – LO NOBILE, S. – RAIELI, V. Cranial Autonomic Symptoms and Migraine: What Relationship and What Meaning? A Review. In JOURNAL OF INTEGRATIVE NEUROSCIENCE. ISSN 0219-6352, NOV 1 2022, vol. 21, no. 6. https://doi.org/10.31083/j.jin2106166; WOS

3. [1.1] RUSTICHELLI, C. – AVALLONE, R. – FERRARI, A. Atogepant: an emerging treatment for migraine. In EXPERT OPINION ON PHARMACOTHERAPY. ISSN 1465-6566, APR 13 2022, vol. 23, no. 6, p. 653-662. https://doi.org/10.1080/14656566.2022.2057221; WOS

4. [1.1] SCHWEDT, T.J. – NIKOLOVA, S. – DUMKRIEGER, G. – LI, J. – WU, T. – CHONG, C.D. Longitudinal changes in functional connectivity and pain-induced brain activations in patients with migraine: a functional MRI study pre- and post- treatment with Erenumab. In JOURNAL OF HEADACHE AND PAIN. ISSN 1129-2369, DEC 2022, vol. 23, no. 1. https://doi.org/10.1186/s10194-022-01526-5; WOS

5. [1.1] SCUTERI, D. – TONIN, P. – NICOTERA, P. – BAGETTA, G. – CORASANITI, M.T. Real world considerations for newly approved CGRP receptor antagonists in migraine care. In EXPERT REVIEW OF NEUROTHERAPEUTICS. ISSN 1473-7175, MAR 4 2022, vol. 22, no. 3, p. 221-230. https://doi.org/10.1080/14737175.2022.2049758; WOS

6. [1.1] SUZUKI, K. – OKAMURA, M. – HARUYAMA, Y. – SUZUKI, S. – SHIINA, T. – KOBASHI, G. – HIRATA, K. Exploring the contributing factors to multiple chemical sensitivity in patients with migraine. In JOURNAL OF OCCUPATIONAL HEALTH. ISSN 1341-9145, JAN 2022, vol. 64, no. 1. https://doi.org/10.1002/1348-9585.12328; WOS

7. [1.1] VINCENT, M. – VIKTRUP, L. – NICHOLSON, R.A. – OSSIPOV, M.H. – VARGAS, B.B. The not so hidden impact of interictal burden in migraine: A narrative review. In FRONTIERS IN NEUROLOGY. ISSN 1664-2295, NOV 3 2022, vol. 13. https://doi.org/10.3389/fneur.2022.1032103; WOS

8. [1.2] NOSEDA, R. Cerebro-Cerebellar Networks in Migraine Symptoms and Headache. In FRONTIERS IN PAIN RESEARCH. ISSN 2673-561X, 2022, vol. 3. https://doi.org/10.3389/fpain.2022.940923; SCOPUS

 

• STRBAK, O. – BALEJČÍKOVÁ, L. – BACIAK, L. – KOVÁČ, J. – MASÁROVÁ-KOZELOVÁ, Marta – KRAFČÍK, Andrej – DOBROTA, D. – KOPČANSKÝ, P. Low-field and high-field magnetic resonance contrast imaging of magnetoferritin as a pathological model system of iron accumulation. In Journal of Physics D: Applied Physics, 2017, vol. 50, no. 36, art. no. 365401. (2016: 2.588 – IF, Q2 – JCR, 1.135 – SJR, Q1 – SJR). (2017 – Current Contents). ISSN 0022-3727. https://doi.org/10.1088/1361-6463/aa8020

WOS citations: 1

1. [1.1] ASLAN, T.N. Relaxivity properties of magnetoferritin: The iron loading effect. In JOURNAL OF BIOSCIENCE AND BIOENGINEERING. ISSN 1389-1723, MAY 2022, vol. 133, no. 5, p. 474-480. https://doi.org/10.1016/j.jbiosc.2022.01.005; WOS

 

• STRBAK, O. – MASÁROVÁ-KOZELOVÁ, Marta – GOGOLA, Daniel – SZOMOLÁNYI, Pavol – FROLLO, Ivan. Influence of saline and glucose molecules to contrast properties of clinically used MRI contrast agents. In Measurement, 2015, vol. 69, p. 109-114. (2014: 1.484 – IF, Q2 – JCR, 0.676 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 0263-2241. https://doi.org/10.1016/j.measurement.2015.03.036

WOS citations: 1

1. [1.1] ZHU, J.H. – CHEN, L.Q. – HUANG, Y.X. – ZHANG, F. – PAN, J.Y. – LI, E.C. – QIN, J.G. – QIN, C.J. – WANG, X.D. New insights into the influence of myo-inositol on carbohydrate metabolism during osmoregulation in Nile tilapia (Oreochromis niloticus). In ANIMAL NUTRITION. ISSN 2405-6383, SEP 2022, vol. 10, p. 86-98. https://doi.org/10.1016/j.aninu.2022.04.006; WOS

 

• SULOVSKÁ, K. – FIŠEROVÁ, E. – CHVOSTEKOVÁ, Martina – ADÁMEK, M. Appropriateness of gait analysis for biometrics: Initial study using FDA method. In Measurement, 2017, vol. 105, p. 1-10. (2016: 2.359 – IF, Q1 – JCR, 0.727 – SJR, Q1 – SJR). (2017 – Current Contents). ISSN 0263-2241. https://doi.org/10.1016/j.measurement.2017.03.042

WOS citations: 1

1. [1.1] ZHOU, J.L. – LI, W.F. – ZHANG, Q. – XIE, F. – WANG, Q. A Smart Walking Stick for Gait Analysis of Elderly and People With Disabilities. In IEEE SENSORS JOURNAL. ISSN 1530-437X, MAY 1 2022, vol. 22, no. 9, p. 9035-9045; WOS

 

• SZOMOLÁNYI, Pavol – ROHRER, M. – FRENZEL, T. – NOEBAUER-HUHMANN, I.M. – JOST, G. – ENDRIKAT, J. – TRATTNIG, S. – PIETSCH, H. Comparison of the relaxivities of macrocyclic gadolinium-based contrast agents in human plasma at 1.5, 3, and 7 T, and blood at 3 T. In Investigative Radiology, 2019, vol. 54, no. 9, p. 559-564. (2018: 6.091 – IF, Q1 – JCR, 3.761 – SJR, Q1 – SJR). (2019 – Current Contents). ISSN 0020-9996. https://doi.org/10.1097/RLI.0000000000000577

WOS citations: 4; SCOPUS citations: 1; other citations: 4

1. [1.1] CERNE, J.W. – PATHROSE, A. – SINGER, A.M. – MOORE, J.E. – SERHAL, A. – AOUAD, P. – UMAIR, M. – RAGIN, A. – ALLEN, B.D. – AVERY, R. – MARKL, M. – CARR, J.C. MRA of the Supraaortic Vasculature: Comparison of Gadobutrol and Gadoterate Meglumine at 1.5 T. In JOURNAL OF MAGNETIC RESONANCE IMAGING, 2022, vol. 56, no. 2, p. 440-449. ISSN 1053-1807. https://doi.org/10.1002/jmri.28044; WOS

2. [1.1] CHEN, S.J. – AN, L. – YANG, S.P. Low-Molecular-Weight Fe(III) Complexes for MRI Contrast Agents. In MOLECULES. JUL 2022, vol. 27, no. 14. https://doi.org/10.3390/molecules27144573; WOS

3. [1.1] MAZAHERI, Y. – KIM, N. – LAKHMAN, Y. – JAFARI, R. – VARGAS, A. – OTAZO, R. Dynamic contrast-enhanced MRI parametric mapping using high spatiotemporal resolution Golden-angle RAdial Sparse Parallel MRI and iterative joint estimation of the arterial input function and pharmacokinetic parameters. In NMR IN BIOMEDICINE. ISSN 0952-3480, JUL 2022, vol. 35, no. 7. https://doi.org/10.1002/nbm.4718; WOS

4. [1.1] RAJENDRAN, D. – ELIZABETH, J. – MANOHARAN, S. – VELLALA, N. – KOOTALLUR, B. – ANGAMUTHU, A. – BHAGAVATHSINGH, J. – PAUL, P.M. Synthesis, characterization and relaxivity validations of Gd(III) complex of DOTA tetrahydrazide as MRI contrast agent. In JOURNAL OF MOLECULAR STRUCTURE. ISSN 0022-2860, MAY 5 2022, vol. 1255. https://doi.org/10.1016/j.molstruc.2022.132474; WOS

5. [1.2] ZAMECNIK, P. – ISRAEL, B. – FEUERSTEIN, J. – NAGARAJAH, J. – GOTTHARDT, M. – BARENTSZ, J.O. – HAMBROCK, T. Ferumoxtran-10-enhanced 3-T Magnetic Resonance Angiography of Pelvic Arteries: Initial Experience. In EUROPEAN UROLOGY FOCUS, 2022, vol. 8, no. 6, p. 1802-1808. https://doi.org/10.1016/j.euf.2022.03.001; SCOPUS

6. [3.1] KUHN, M.J. – PATRIARCHE, J.W. – PATRIARCHE, D. – BONA, M. – KIRCHIN, M.A. – PIROVANO, G. Comparing Contrast Agent Enhancement: The Value of Artificial Intelligence/Machine Learning. In JOURNAL OF EXPERIMENTAL NEUROLOGY, 2022, vol. 3, no. 1, p. 8-14. https://doi.org/10.33696/Neurol.3.055

7. [3.1] NYSTRÖM, N.N. – MCRAE, S.W. – MARTINEZ, F. – KELLY, J.J. – SCHOLL, T.J. – RONALD, J.A. Sensitive Spatiotemporal Tracking of Spontaneous Metastasis in Deep Tissues via a Genetically-Encoded Magnetic Resonance Imaging Reporter. In bioRxiv, 2022, https://doi.org/10.1101/2022.02.09.479610

8. [3.1] PATHROSE, A. – SINGER, A. – CERNE, J.W. – SERHAL, A. – AOUAD, P. – BLAISDELL, J. – AVERY, R. – MARKL, M. – ALLEN, B. – CARR, J.C. Evaluating the Performance of Gadobutrol and Gadoterate Meglumine for Contrast-Enhanced Magnetic Resonance Angiography of the thoracic aorta at 1.5T. In RESEARCH SQUARE, 2022, https://doi.org/10.21203/rs.3.rs-1547836/v1.

9. [3.1] REYES-MOLINA, I. – HERNÁNDEZ-RODRÍGUEZ, A. – CABAL-MIRABAL, C. – GONZALEZ-DALMAU, E. Methodology for determination of contrast agent relaxivity using MRI. In RESEARCH SQUARE, 2022, https://doi.org/10.21203/rs.3.rs-2235644/v1.

 

• ŠEDIVÝ, P. – KIPFELSBERGER, M.Ch. – DEZORTOVÁ, M. – KRŠŠÁK, M. – DROBNÝ, M. – CHMELÍK, M. – RYDLO, J. – TRATTNIG, S. – HÁJEK, M. – VALKOVIČ, Ladislav. Dynamic 31P MR spectroscopy of plantar flexion: Influence of ergometer design, magnetic field strength (3 and 7 T), and RF-coil design. In Medical Physics, 2015, vol.  42, no. 4, p. 1678-1689. (2014: 2.635 – IF, Q2 – JCR, 0.598 – SJR, Q2 – SJR). (2015 – Current Contents). ISSN 0094-2405. https://doi.org/10.1118/1.4914448

WOS citations: 2

1. [1.1] NIJHOLT, K.T. – SANCHEZ-AGUILERA, P.I. – VOORRIPS, S.N. – DE BOER, R.A. – WESTENBRINK, B.D. Exercise: a molecular tool to boost muscle growth and mitochondrial performance in heart failure?. In EUROPEAN JOURNAL OF HEART FAILURE. ISSN 1388-9842, FEB 2022, vol. 24, no. 2, p. 287-298. https://doi.org/10.1002/ejhf.2407; WOS

2. [1.1] VRATNA, E. – HUSAKOVA, J. – JAROSIKOVA, R. – DUBSKY, M. – WOSKOVA, V. – BEM, R. – JIRKOVSKA, A. – KRALOVA, K. – PYSKOVA, B. – LANSKA, V. – FEJFAROVA, V. Effects of a 12-Week Interventional Exercise Programme on Muscle Strength, Mobility and Fitness in Patients With Diabetic Foot in Remission: Results From BIONEDIAN Randomised Controlled Trial. In FRONTIERS IN ENDOCRINOLOGY. ISSN 1664-2392, JUL 5 2022, vol. 13. https://doi.org/10.3389/fendo.2022.869128; WOS

 

• ŠKRÁTEK, Martin – DVUREČENSKIJ, Andrej – KLUKNAVSKÝ, M. – BARTA, A. – BALIŠ, P. – MIČUROVÁ, A. – CIGÁŇ, Alexander – ECKSTEIN ANDICSOVÁ, A. – MAŇKA, Ján – BERNÁTOVÁ, I. Sensitive SQUID bio-magnetometry for determination and differentiation of biogenic iron and iron oxide nanoparticles in the biological samples. In Nanomaterials, 2020, vol. 10, no. 10, art. no. 1993. (2019: 4.324 – IF, Q2 – JCR, 0.858 – SJR, Q1 – SJR). (2020 – Current Contents). ISSN 2079-4991. https://doi.org/10.3390/nano10101993

WOS citations: 4

1. [1.1] GAS, K. – SAWICKI, M. In Situ Compensation Method for Precise Integral SQUID Magnetometry of Miniscule Biological, Chemical, and Powder Specimens Requiring the Use of Capsules. In MATERIALS, 2022, vol. 15, no. 2. https://doi.org/10.3390/ma15020495; WOS

2. [1.1] NOWAK-JARY, J. – MACHNICKA, B. Pharmacokinetics of magnetic iron oxide nanoparticles for medical applications. In JOURNAL OF NANOBIOTECHNOLOGY, 2022, vol. 20, no. 1. https://doi.org/10.1186/s12951-022-01510-w; WOS

3. [1.1] PANDIT, C. – ALAJANGI, H.K. – SINGH, J. – KHAJURIA, A. – SHARMA, A. – HASSAN, M.S. – PARIDA, M. – SEMWAL, A.D. – GOPALAN, N. – SHARMA, R.K. – SUTTEE, A. – SONI, U. – SINGH, B. – SAPRA, S. – BARNWAL, R.P. – SINGH, G. – KAUR, I.P. Development of magnetic nanoparticle assisted aptamer-quantum dot based biosensor for the detection of Escherichia coli in water samples. In SCIENCE OF THE TOTAL ENVIRONMENT, 2022, vol. 831. ISSN 0048-9697. https://doi.org/10.1016/j.scitotenv.2022.154857; WOS

4. [1.1] YAREMENKO, A.V. – ZELEPUKIN, I.V. – IVANOV, I.N. – MELIKOV, R.O. – PECHNIKOVA, N.A. – DZHALILOVA, D.S. – MIRKASYMOV, A.B. – BRAGINA, V.A. – NIKITIN, M.P. – DEYEV, S.M. – NIKITIN, P.I. Influence of magnetic nanoparticle biotransformation on contrasting efficiency and iron metabolism. In JOURNAL OF NANOBIOTECHNOLOGY, 2022, vol. 20, no. 1. https://doi.org/10.1186/s12951-022-01742-w; WOS

 

• ŠRÁMEK, Miloš – KAUFMAN, A. Alias-free voxelization of geometric objects. In IEEE Transactions on Visualization and Computer Graphics, 1999, vol. 5, no. 3, p. 251-266. (1998: 0.759 – IF). (1999 – Current Contents). ISSN 1077-2626. https://doi.org/10.1109/2945.795216

WOS citations: 2

1. [1.1] CHEN, X.R. – TANG, M. – LI, C. – MANOCHA, D. – TONG, R.F. BADF: Bounding Volume Hierarchies Centric Adaptive Distance Field Computation for Deformable Objects on GPUs. In JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY. ISSN 1000-9000, JUN 2022, vol. 37, no. 3, SI, p. 731-740. https://doi.org/10.1007/s11390-022-0331-x; WOS

2. [1.1] WU, J.Q. – LV, C. – PI, R.D. – MA, Z.Y. – ZHANG, H. – SUN, R.J. – SONG, Y.J. – WANG, K. A Variable Dimension-Based Method for Roadside LiDAR Background Filtering. In IEEE SENSORS JOURNAL. ISSN 1530-437X, JAN 1 2022, vol. 22, no. 1, p. 832-841. https://doi.org/10.1109/JSEN.2021.3125623; WOS

 

• ŠRÁMEK, Miloš – KAUFMAN, A. Fast ray-tracing of rectilinear volume data using. In IEEE Transactions on Visualization and Computer Graphics, 2000, vol. 6, no. 3, p. 236-252. (2000 – Current Contents). ISSN 1077-2626. https://doi.org/10.1109/2945.879785

SCOPUS citations: 1

1. [1.2] FALUDI, B. – ZENTAI, N. – ZELECHOWSKI, M. – ZAM, A. – RAUTER, G. – GRIESSEN, M. – CATTIN, P.C. Transfer-function-independent acceleration structure for volume rendering in virtual reality. In HIGH-PERFORMANCE GRAPHICS ACM SIGGRAPH / EUROGRAPHICS SYMPOSIUM PROCEEDINGS, 2021, p. 1-10. ISSN 2079-8679. https://doi.org/10.2312/hpg.20211279; SCOPUS

 

• ŠTOLC, Svorad – SOUKUP, D. – HOLLÄNDER, B. – HUBER-MÖRK, R. Depth and all-in-focus imaging by a multi-line-scan light-field camera. In Journal of Electronic Imaging, 2014, vol. 23, no. 5, p. 053020. (2013: 0.850 – IF, Q3 – JCR, 0.322 – SJR, Q2 – SJR). (2014 – Current Contents). ISSN 1017-9909. https://doi.org/10.1117/1.JEI.23.5.053020

WOS citations: 1

1. [1.1] LIAO, R.Y. – YANG, L.H. – MA, L.Y. – ZHU, J.G. In-motion continuous point cloud measurement based on bundle adjustment fused with motion information of triple line-scan images. In OPTICS EXPRESS. ISSN 1094-4087, JUN 6 2022, vol. 30, no. 12, p. 21544-21567. https://doi.org/10.1364/OE.451811; WOS

 

• ŠTOLC, Svorad – BAJLA, Ivan. Improvement of band segmentation in Epo images via column shift transformation with cost functions. In Medical & Biological Engineering & Computing : Journal of the International Federation for Medical and Biological Engineering, 2006, vol. 44, no. 4, p. 257-274. (2005: 1.028 – IF, Q2 – JCR, 0.564 – SJR, Q2 – SJR). (2006 – Current Contents). ISSN 0140-0118. https://doi.org/10.1007/s11517-006-0032-6

WOS citations: 1

1. [1.1] HADDAD, F. – BOUDET, S. – PEYRODIE, L. – VANDENBROUCKE, N. – POUPART, J. – HAUTECOEUR, P. – CHIEUX, V. – FORZY, G. Oligoclonal Band Straightening Based on Optimized Hierarchical Warping for Multiple Sclerosis Diagnosis. In SENSORS. FEB 2022, vol. 22, no. 3. https://doi.org/10.3390/s22030724; WOS

 

• ŠVEHLÍKOVÁ, Jana – LENKOVÁ, Jana – TURZOVÁ, Marie – TYŠLER, Milan – KANIA, M. – MANIEWSKI, R. Influence of individual torso geometry on inverse solution to 2 dipoles. In Journal of Electrocardiology, 2012, vol. 45, no. 1, p. 7-12. (2011: 1.141 – IF, Q4 – JCR, 0.537 – SJR, Q2 – SJR). (2012 – Current Contents). ISSN 0022-0736. https://doi.org/10.1016/j.jelectrocard.2011.07.012

WOS citations: 1

1. [1.1] MOLERO, R. – GONZALEZ-ASCASO, A. – HERNANDEZ-ROMERO, I. – LUNDBACK-MOMPO, D. – CLIMENT, A.M. – GUILLEM, M.S. Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation. In FRONTIERS IN PHYSIOLOGY. AUG 29 2022, vol. 13. https://doi.org/10.3389/fphys.2022.908364; WOS

 

• ŠVEHLÍKOVÁ, Jana – TEPLAN, Michal – TYŠLER, Milan. Geometrical constraint of sources in noninvasive localization of premature ventricular contractions. In Journal of Electrocardiology, 2018, vol. 51, no. 3, p. 370-377. (2017: 1.421 – IF, Q4 – JCR, 0.710 – SJR, Q2 – SJR). (2018 – Current Contents). ISSN 0022-0736. https://doi.org/10.1016/j.jelectrocard.2018.02.013

WOS citations: 1; SCOPUS citations: 1

1. [1.1] BOONSTRA, M.J. – BROOKS, D.H. – LOH, P. – VAN DAM, P.M. CineECG: A novel method to image the average activation sequence in the heart from the 12-lead ECG. In COMPUTERS IN BIOLOGY AND MEDICINE. ISSN 0010-4825, FEB 2022, vol. 141. https://doi.org/10.1016/j.compbiomed.2021.105128; WOS

2. [1.2] KAMALI, F. – FALLAHABADI, H. – KARAMITANHA, F. – EMKANJOO, Z. – HAGHJOO, M. – DIZ, A.A. – FAZELIFAR, A. – MADADI, S. – JAHANGIRI, B. Diagnostic Value of the Modified Limb Lead System in Localizing the Origin of Outflow PVCs. In IRANIAN HEART JOURNAL. ISSN 1735-7306, 2022, vol. 23, no. 4, p. 29-37. http://journal.iha.org.ir/article_158130.html; SCOPUS

 

• TEPLAN, Michal – KRAKOVSKÁ, Anna – ŠTOLC, Svorad. Direct effects of audio-visual stimulation on EEG. In Computer Methods and Programs in Biomedicine, 2011, vol. 102, no. 1, p. 17-24. (2010: 1.238 – IF, Q2 – JCR, 0.540 – SJR, Q2 – SJR). (2011 – Current Contents). ISSN 0169-2607. https://doi.org/10.1016/j.cmpb.2010.11.013

WOS citations: 2; SCOPUS citations: 1

1. [1.1] GHADIRI, A. – STURZ, D.L. – MOHAJERZAD, H. Associations between Health Education and Mental Health, Burnout, and Work Engagement by Application of Audiovisual Stimulation. In INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. AUG 2022, vol. 19, no. 15. https://doi.org/10.3390/ijerph19159370; WOS

2. [1.1] SAIU, S. – GROSSO, E. Controlled audio-visual stimulation for anxiety reduction. In COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. ISSN 0169-2607, AUG 2022, vol. 223. https://doi.org/10.1016/j.cmpb.2022.106898; WOS

3. [1.2] HAMID, M.A. – SINGH, J. EEG Signal processing for Detection of Colour Vision Deficiencies. In ECS TRANSACTIONS, 2022, vol. 107, no. 1, p. 10053-10060. ISSN 1938-6737. https://doi.org/10.1149/10701.10053ecst; SCOPUS

 

• TEPLAN, Michal – KRAKOVSKÁ, Anna – ŠTOLC, Svorad. EEG responses to long-term audio-visual stimulation. In International Journal of Psychophysiology, 2006, vol. 59, p. 81-90. (2005: 2.584 – IF, Q1 – JCR, 1.269 – SJR, Q1 – SJR). (2006 – Current Contents). ISSN 0167-8760. https://doi.org/10.1016/j.ijpsycho.2005.02.005

WOS citations: 4; other citations: 1

1. [1.1] CHERNYKH, M. – VODIANYK, B. – SELEZNOV, I. – HARMATIUK, D. – ZYMA, I. – POPOV, A. – KIYONO, K. Detrending Moving Average, Power Spectral Density, and Coherence: Three EEG-Based Methods to Assess Emotion Irradiation during Facial Perception. In APPLIED SCIENCES-BASEL. AUG 2022, vol. 12, no. 15. https://doi.org/10.3390/app12157849; WOS

2. [1.1] DABIRI, R. – ESMAIELPOUR, M.R.M. – NODOUSHAN, M.S. – KHANESHENAS, F. – ZAKERIAN, S.A. The effect of auditory stimulation using delta binaural beat for a better sleep and post-sleep mood: A pilot study. In DIGITAL HEALTH. ISSN 2055-2076, MAY 2022, vol. 8. https://doi.org/10.1177/20552076221102243; WOS

3. [1.1] GHADIRI, A. – STURZ, D.L. – MOHAJERZAD, H. Associations between Health Education and Mental Health, Burnout, and Work Engagement by Application of Audiovisual Stimulation. In INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. AUG 2022, vol. 19, no. 15. https://doi.org/10.3390/ijerph19159370; WOS

4. [1.1] NAJAFI, T. – JAAFAR, R. – REMLI, R. – ZAIDI, W.A.W. – CHELLAPPAN, K. Brain Dynamics in Response to Intermittent Photic Stimulation in Epilepsy. In INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING. 2022, vol. 18, no. 5, p. 80-95. https://doi.org/10.3991/ijoe.v18i05.27647; WOS

5. [3.1] BUHLER, J.C. – MAURER, U. Literacy Acquisition in a German Dialect: A Behavioral and EEG Study in Swiss-German and Standard German Speaking Children. In HANDBOOK OF LITERACY IN DIGLOSSIA AND IN DIALECTAL CONTEXTS. Springer, 2022, p. 167-192. https://doi.org/10.1007/978-3-030-80072-7_9

 

• THIRUNAVUKARASU, S. – ANSARI, F. – CUBBON, R. – FORBES, K. – BUCCIARELLI-DUCCI, C. – NEWBY, D.E. – DWECK, M.R. – RIDER, O. – VALKOVIČ, Ladislav – RODGERS, C.T. – TYLER, D.J. – CHOWDHARY, A. – JEX, N. – KOTHA, S. – MORLEY, L. – XUE, H. – SWOBODA, P. – KELLMAN, P. – GREENWOOD, J.P. – PLEIN, S. – EVERETT, T. – SCOTT, E. – LEVELT, E. Maternal cardiac changes in women with obesity and gestational diabetes mellitus. In Diabetes Care, 2022, vol. 45, no. 12, p. 3007-3015. (2021: 17.155 – IF, Q1 – JCR, 6.528 – SJR, Q1 – SJR). (2022 – Current Contents). ISSN 0149-5992. https://doi.org/10.2337/dc22-0401

WOS citations: 1

1. [1.1] NOLAN, C.J. Gestational Diabetes Mellitus and the Maternal Heart. In DIABETES CARE, 2022, vol. 45, no. 12, p. 2820-2822. ISSN 0149-5992. https://doi.org/10.2337/dci22-0036; WOS

 

• TRAFIMOW, D. – AMRHEIN, V. – ARESHENKOFF, C.N. – BARRERA-CAUSIL, C.J. – BEH, E.J. – BILGIÇ, Y.K. – BONO, R. – BRADLEY, M.T. – BRIGGS, W. – CEPEDA-FREYRE, H.A. – CHAIGNEAU, S.E. – CIOCCA, D.R. – CORREA, J.C. – COUSINEAU, D. – DE BOER, M.R. – DHAR, S.S. – DOLGOV, I. – GÓMEZ-BENITO, J. – GRENDÁR, Marián – GRICE, J.W. – GUERRERO-GIMENEZ, M.E. – GUTIÉRREZ, A. – HUEDO-MEDINA, T.B. – JAFFE, K. – JANYAN, A. – KARIMNEZHAD, A. – KORNER-NIEVERGELT, F. – KOSUGI, K. – LACHMAIR, M. – LEDESMA, R.D. – LIMONGI, R. – LIUZZA, M.T. – LOMBARDO, R. – MARKS, M.J. – MEINLSCHMIDT, G. – NALBORCZYK, L. – NGUYEN, H.T. – OSPINA, R. – PEREZGONZALEZ, J.D. – PFISTER, R. – RAHONA, J.J. – RODRÍGUEZ-MEDINA, D.A. – ROMãO, X. – RUIZ-FERNÁNDEZ, S. – SUAREZ, I. – TEGETHOFF, M. – TEJO, M. – VAN DE SCHOOT, R. – VANKOV, I.I. – VELASCO-FORERO, S. – WANG, T. – YAMADA, Y. – ZOPPINO, F.C.M. – MARMOLEJO-RAMOS, F. Manipulating the alpha level cannot cure significance testing. In Frontiers in Psychology, 2018, vol. 9, art. no. 699. (2017: 2.089 – IF, Q2 – JCR, 1.043 – SJR, Q1 – SJR). (2018 – Current Contents). ISSN 1664-1078. https://doi.org/10.3389/fpsyg.2018.00699

WOS citations: 6; SCOPUS citations: 2

1. [1.1] CERVELLI, R. – CENCINI, M. – INSILLA, A.C. – ARINGHIERI, G. – BOGGI, U. – CAMPANI, D. – TOSETTI, M. – CROCETTI, L. Ex-vivo human pancreatic specimen evaluation by 7 Tesla MRI: a prospective radiological-pathological correlation study. In RADIOLOGIA MEDICA. ISSN 0033-8362, SEP 2022, vol. 127, no. 9, p. 950-959. https://doi.org/10.1007/s11547-022-01533-1; WOS

2. [1.1] GLENDON, A.I. – LEWIS, I. Field testing anti-speeding messages. In TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR. ISSN 1369-8478, NOV 2022, vol. 91, p. 431-450. https://doi.org/10.1016/j.trf.2022.10.022; WOS

3. [1.1] LOCASCIO, J.J. Results Blind Science Publishing and a Decision-Theoretic Approach to Publishing. In BASIC AND APPLIED SOCIAL PSYCHOLOGY. ISSN 0197-3533, JAN 2 2022, vol. 44, no. 1, p. 38-46. https://doi.org/10.1080/01973533.2022.2047048; WOS

4. [1.1] QUATTO, P. – RIPAMONTI, E. – MARASINI, D. Beyond p < .05: a critical review of new Bayesian proposals for assessing the p-value. In JOURNAL OF BIOPHARMACEUTICAL STATISTICS. ISSN 1054-3406, MAR 4 2022, vol. 32, no. 2, p. 308-329. https://doi.org/10.1080/10543406.2021.2009497; WOS

5. [1.1] TAKAHASHI, K. – YOTSUMOTO, Y. Testing the Reproducibility of the Effects of Transcranial Direct Current Stimulation: Failure to Modulate Beauty Perception by Brain Stimulation. In FRONTIERS IN HUMAN NEUROSCIENCE. ISSN 1662-5161, FEB 18 2022, vol. 16. https://doi.org/10.3389/fnhum.2022.767344; WOS

6. [1.1] TAM, D.Y. – FREMES, S.E. Commentary: Let’s not trade one problem for another: Moving beyond P values and confidence intervals. In JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY. ISSN 0022-5223, JUL 2022, vol. 164, no. 1, p. E44-E45. https://doi.org/10.1016/j.jtcvs.2020.04.159; WOS

7. [1.2] TAMANNA – SANGWAN, O.P. Random Permutation-based Hybrid Feature Selection for Software Bug Prediction using Bayesian Statistical Validation. In INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY, 2022, vol. 70, no. 4, p. 188-202. ISSN 2349-0918. https://doi.org/10.14445/22315381/IJETT-V70I4P216; SCOPUS

8. [1.2] TOMASELLI, V. – CANTONE, G.G. – MIRACULA, V. Multiversal Methods in Observational Studies: The Case of COVID-19. In SPRINGER PROCEEDINGS IN MATHEMATICS AND STATISTICS, 2022, vol. 406, p. 369-392. ISSN 2194-1009. https://doi.org/10.1007/978-3-031-16609-9_22; SCOPUS

 

• TRATTNIG, S. – MAMISCH, T.C. – WELSCH, G.H. – GLASER, C. – SZOMOLÁNYI, Pavol – GEBETSROITHER, S. – STASTNY, O. – HORGER, W. – MILLINGTON, S. – MARLOVITS, S. Quantitative T2 mapping of matrix-associated autologous, chondrocyte transplantation at 3 Tesla. In Investigative Radiology, 2007, vol. 42, no. 6, p. 442-448. (2006: 3.398 – IF, Q1 – JCR, 1.920 – SJR, Q1 – SJR). (2007 – Current Contents). ISSN 0020-9996. https://doi.org/10.1097/01.rli.0000262088.67368.49

WOS citations: 2

1. [1.1] JUNG, M. – RUSCHKE, S. – KARAMPINOS, D.C. – HOLWEIN, C. – BAUM, T. – GERSING, A.S. – BAMBERG, F. – JUNGMANN, P.M. The Predictive Value of Early Postoperative MRI-Based Bone Marrow Parameters for Mid-Term Outcome after MACI with Autologous Bone Grafting at the Knee. In CARTILAGE. ISSN 1947-6035, JUL 2022, vol. 13, no. 3. https://doi.org/10.1177/19476035221093061; WOS

2. [1.1] TAO, H.Y. – ZHANG, Y.Y. – HU, Y.W. – LI, Q.R. – HUA, Y.H. – LU, R. – XIE, Y.X. – LI, X.W. – ZHANG, B. – CHEN, S. Cartilage Matrix Changes in Hindfoot Joints in Chronic Ankle Instability Patients After Anatomic Repair Using T2-Mapping: Initial Experience With 3-Year Follow-Up. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, JAN 2022, vol. 55, no. 1, p. 234-243. https://doi.org/10.1002/jmri.27809; WOS

 

• TRATTNIG, S. – MAMISCH, T.C. – PINKER, K. – DOMAYER, S. – SZOMOLÁNYI, Pavol – MARLOVITS, S. – KUTSCHA-LISSBERG, F. – WELSCH, G.H. Differentiating normal hyaline cartilage from post-surgical repair tissue using fast gradient echo imaging in delayed gadolinium-enhanced MRI (dGEMRIC) at 3 Tesla. In European Radiology, 2008, vol. 18, no. 6, p. 1251-1259. (2007: 3.405 – IF, Q1 – JCR, 1.989 – SJR, Q1 – SJR). (2008 – Current Contents). ISSN 0938-7994. https://doi.org/10.1007/s00330-008-0859-3

SCOPUS citations: 1

1. [1.2] HEISS, R. – GUERMAZI, A. – JANKA, R. – UDER, M. – LI, . – HAYASHI, D. – ROEMER, F.W. Update: Posttreatment Imaging of the Knee after Cartilage Repair. In SEMINARS IN MUSCULOSKELETAL RADIOLOGY, 2022, vol. 26, no. 3, p. 216-229. ISSN 1089-7860. https://doi.org/10.1055/s-0042-1743405; SCOPUS

 

• TRATTNIG, S. – ZBÝŇ, Š. – SCHMITT, B. – FRIEDRICH, K. – JURÁŠ, Vladimír – SZOMOLÁNYI, Pavol – BOGNER, W. Advanced MR methods at ultra-high field (7 Tesla) for clinical musculoskeletal applications. In European Radiology, 2012, vol. 22, p. 2338-2346. (2011: 3.222 – IF, Q1 – JCR, 2.023 – SJR, Q1 – SJR). (2012 – Current Contents). ISSN 0938-7994. https://doi.org/10.1007/s00330-012-2508-0

WOS citations: 1; SCOPUS citations: 1; other citations: 1

1. [1.1] CERVELLI, R. – CENCINI, M. – INSILLA, A.C. – ARINGHIERI, G. – BOGGI, U. – CAMPANI, D. – TOSETTI, M. – CROCETTI, L. Ex-vivo human pancreatic specimen evaluation by 7 Tesla MRI: a prospective radiological-pathological correlation study. In RADIOLOGIA MEDICA. ISSN 0033-8362, SEP 2022, vol. 127, no. 9, p. 950-959. https://doi.org/10.1007/s11547-022-01533-1; WOS

2. [1.2] PACHOWSKY, M.L. – WELSCH, G.H. Cartilage Imaging: Standards and Perspectives. In SPORTS ORTHOPAEDICS AND TRAUMATOLOGY, 2022, vol. 38, no. 1, p. 8-17. ISSN 0949-328X. https://doi.org/10.1016/j.orthtr.2022.01.005; SCOPUS

3. [3.1] YILMAZ, S. Dental and Maxillofacial Magnetic Resonance Imaging; an update. In SELCUK DENTAL JOURNAL, 2022, vol. 9, no. 2, p. 729-737. https://doi.org/10.15311/selcukdentj.860805

 

• TRATTNIG, S. – BURSTEIN, D. – SZOMOLÁNYI, Pavol – PINKER, K. – WELSCH, G.H. – MAMISCH, T.C. T1(Gd) gives comparable information as Delta T1 relaxation rate in dGEMRIC evaluation of cartilage repair tissue. In Investigative Radiology, 2009, vol. 44, no. 9, p. 598-602. (2008: 5.289 – IF, Q1 – JCR, 3.671 – SJR, Q1 – SJR). (2009 – Current Contents). ISSN 0020-9996. https://doi.org/10.1097/rli.0b013e3181b4c236

Other citations: 1

1. [3.1] WANG, J. Methods and devices for contrast agent magnetic resonance imaging. US Patent US11353533B2. https://patents.google.com/patent/US11353533B2/en

 

• TRATTNIG, S. – BOGNER, W. – GRUBER, S. – SZOMOLÁNYI, Pavol – JURÁŠ, Vladimír – ROBINSON, S. – ZBÝŇ, Š. – HANEDER, S. Clinical applications at ultrahigh field (7T). Where does it make the difference? In NMR in Biomedicine, 2016, vol. 29, no. 9, p. 1316-1334. (2015: 2.983 – IF, Q1 – JCR, 1.624 – SJR, Q1 – SJR). (2016 – Current Contents). ISSN 0952-3480. https://doi.org/10.1002/nbm.3272

WOS citations: 5; SCOPUS citations: 1; other citations: 1

1. [1.1] CERVELLI, R. – CENCINI, M. – INSILLA, A.C. – ARINGHIERI, G. – BOGGI, U. – CAMPANI, D. – TOSETTI, M. – CROCETTI, L. Ex-vivo human pancreatic specimen evaluation by 7 Tesla MRI: a prospective radiological-pathological correlation study. In RADIOLOGIA MEDICA. ISSN 0033-8362, SEP 2022, vol. 127, no. 9, p. 950-959. https://doi.org/10.1007/s11547-022-01533-1; WOS

2. [1.1] ROGELJ, L. – DOLENEC, R. – TOMSIC, M.V. – LAISTLER, E. – SIMONCIC, U. – MILANIC, M. – HREN, R. Anatomically Accurate, High-Resolution Modeling of the Human Index Finger Using In Vivo Magnetic Resonance Imaging. In TOMOGRAPHY. ISSN 2379-1381, OCT 2022, vol. 8, no. 5, p. 2347-2359. https://doi.org/10.3390/tomography8050196; WOS

3. [1.1] ROSENBERG, J.T. – GRANT, S.C. – TOPGAARD, D. Nonparametric 5D D-R-2 distribution imaging with single-shot EPI at 21.1 T: Initial results for in vivo rat brain. In JOURNAL OF MAGNETIC RESONANCE. ISSN 1090-7807, AUG 2022, vol. 341. https://doi.org/10.1016/j.jmr.2022.107256; WOS

4. [1.1] ROUSSEL, T. – LE FUR, Y. – GUYE, M. – VIOUT, P. – RANJEVA, J.P. – CALLOT, V. Respiratory-triggered quantitative MR spectroscopy of the human cervical spinal cord at 7 T. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, JUN 2022, vol. 87, no. 6, p. 2600-2612. https://doi.org/10.1002/mrm.29182; WOS

5. [1.1] XUE, X.A. – LI, Q.R. – WANG, Y.R. – LU, R. – HAN, J.W. – ZHANG, H. – XU, X.Y. – TAO, W.C. – MA, T.J. – LI, Y.X. – WANG, H. – HUA, Y.H. Impaired corticospinal tract in chronic ankle instability: A diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) study at 7.0 Tesla. In JOURNAL OF SCIENCE AND MEDICINE IN SPORT. ISSN 1440-2440, AUG 2022, vol. 25, no. 8, p. 649-654. https://doi.org/10.1016/j.jsams.2022.05.003; WOS

6. [1.2] UĞURBIL, K. Technology for Ultrahigh Field Imaging. In MAGNETIC RESONANCE MICROSCOPY: INSTRUMENTATION AND APPLICATIONS IN ENGINEERING, LIFE SCIENCE, AND ENERGY RESEARCH. Wiley, 2022, p. 75-99. https://doi.org/10.1002/9783527827244.ch4; SCOPUS

7. [3.1] MASSIRE, A. – MAUCONDUIT, F. – GRAS, V. – LAPERT, M. – NAUDIN, M. – GUILLEVIN, R. – VIGNAUD, A. – BOULANT, N. PASTEUR: Package of Anatomical Sequences Using Parallel Transmission Universal Pulses Now Available for MAGNETOM Terra. In MAGNETOM FLASH, 2022, vol. 80, no. 1., p. 2-12.

 

• TRATTNIG, S. – STELZENEDER, D. – GOED, S. – REISSEGGER, M. – MAMISCH, T.C. – PATERNOSTRO-SLUGA, T. – WEBER, M. – SZOMOLÁNYI, Pavol – WELSCH, G.H. Lumbar intervertebral disc abnormalities: comparison of quantitative T2 mapping with conventional MR at 3.0T. In European Radiology, 2010, vol. 20, p. 2715–2722. (2009: 3.589 – IF, 2.089 – SJR, Q1 – SJR). (2010 – Current Contents). ISSN 0938-7994. https://doi.org/10.1007/s00330-010-1843-2

WOS citations: 5; other citations: 1

1. [1.1] BHATTACHARYA, S. – DUBEY, D.K. Impact of Variations in Water Concentration on the Nanomechanical Behavior of Type I Collagen Microfibrils in Annulus Fibrosus. In JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME. ISSN 0148-0731, APR 1 2022, vol. 144, no. 4. https://doi.org/10.1115/1.4052563; WOS

2. [1.1] CAVUSOGLU, M. – PAZAHR, S. – CIRITSIS, A.P. – ROSSI, C. Quantitative Na-23-MRI of the intervertebral disk at 3 T. In NMR IN BIOMEDICINE. ISSN 0952-3480, AUG 2022, vol. 35, no. 8. https://doi.org/10.1002/nbm.4733; WOS

3. [1.1] SAVARESE, L.G. – MENEZES-REIS, R. – JORGE, M. – SALMON, C.E.G. – HERRERO, C.F.P.S. – NOGUEIRA-BARBOSA, M.H. Sagittal balance and intervertebral disc composition in patients with low back pain. In BRAZILIAN JOURNAL OF MEDICAL AND BIOLOGICAL RESEARCH. ISSN 0100-879X, 2022, vol. 55, no. 1. https://doi.org/10.1590/1414-431X2022e12015; WOS

4. [1.1] TAMAGAWA, S. – SAKAI, D. – NOJIRI, H. – SATO, M. – ISHIJIMA, M. – WATANABE, M. Imaging Evaluation of Intervertebral Disc Degeneration and Painful Discs-Advances and Challenges in Quantitative MRI. In DIAGNOSTICS. MAR 2022, vol. 12, no. 3. https://doi.org/10.3390/diagnostics12030707; WOS

5. [1.1] WONGRATWANICH, P. – NAGASAKI, T. – SHIMABUKURO, K. – KONISHI, M. – OHTSUKA, M. – SUEI, Y. – NAKAMOTO, T. – AKIYAMA, Y. – AWAI, K. – KAKIMOTO, N. Intra- and inter-examination reproducibility of T2 mapping for temporomandibular joint assessment at 3.0 T. In SCIENTIFIC REPORTS. ISSN 2045-2322, JUN 29 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-15184-9; WOS

6. [3.1] XUE, C. – WANG, N. – XU, W. – XI, Z. – XIE, L. Progress of quantitative magnetic resonance T2 mapping imaging in disc degeneration. In JOURNAL OF MOLECULAR IMAGING, 2022, vol. 45, no. 3, p. 447-453. https://doi.org/10.12122/j.issn.1674-4500.2022.03.28

 

• TRAUSSNIGG, S. – KIENBACHER, Ch. – GAJDOŠÍK, M. – VALKOVIČ, Ladislav – HALILBASIC, E. – STIFT, J. – RECHLING, C. – HOFER, H. – STEINDL-MUNDA, P. – FERENCI, P. – WRBA, F. – TRATTNIG, S. – KRŠŠÁK, M. – TRAUNER, M. Ultra-high-field magnetic resonance spectroscopy in non-alcoholic fatty liver disease: Novel mechanistic and diagnostic insights of energy metabolism in non-alcoholic steatohepatitis and advanced fibrosis. In Liver International, 2017, vol. 37, no. 10, p. 1544-1553. (2016: 4.116 – IF, Q1 – JCR, 1.681 – SJR, Q1 – SJR). (2017 – Current Contents). ISSN 1478-3223. https://doi.org/10.1111/liv.13451

WOS citations: 5

1. [1.1] CHEN, Z.J. – HAN, S. – ZHENG, P. – ZHANG, J.H. – ZHOU, S.P. – JIA, G. Landscape of lipidomic metabolites in gut-liver axis of Sprague-Dawley rats after oral exposure to titanium dioxide nanoparticles. In PARTICLE AND FIBRE TOXICOLOGY. ISSN 1743-8977, AUG 3 2022, vol. 19, no. 1. https://doi.org/10.1186/s12989-022-00484-9; WOS

2. [1.1] HOU, L.S. – ZHANG, Y.W. – LI, H. – WANG, W. – HUAN, M.L. – ZHOU, S.Y. – ZHANG, B.L. The regulatory role and mechanism of autophagy in energy metabolism-related hepatic fibrosis. In PHARMACOLOGY & THERAPEUTICS. ISSN 0163-7258, JUN 2022, vol. 234. https://doi.org/10.1016/j.pharmthera.2022.108117; WOS

3. [1.1] LI, J.W. – ZHAO, M. – LI, J.M. – WANG, M. – ZHAO, C.J. Combining fecal microbiome and metabolomics to reveal the disturbance of gut microbiota in liver injury and the therapeutic mechanism of shaoyao gancao decoction. In FRONTIERS IN PHARMACOLOGY. AUG 16 2022, vol. 13. https://doi.org/10.3389/fphar.2022.911356; WOS

4. [1.1] SEGURA-AZUARA, N.D. – VARELA-CHINCHILLA, C.D. – TRINIDAD-CALDERON, P.A. MAFLD/NAFLD Biopsy-Free Scoring Systems for Hepatic Steatosis, NASH, and Fibrosis Diagnosis. In FRONTIERS IN MEDICINE. JAN 13 2022, vol. 8. https://doi.org/10.3389/fmed.2021.774079; WOS

5. [1.1] VAN DEN WILDENBERG, L. – GURSAN, A. – SEELEN, L.W.F. – VAN DER VELDEN, T.A. – GOSSELINK, M.W.J.M. – FROELING, M. – VAN DER KEMP, W.J.M. – KLOMP, D.W.J. – PROMPERS, J.J. In vivo phosphorus magnetic resonance spectroscopic imaging of the whole human liver at 7 T using a phosphorus whole-body transmit coil and 16-channel receive array: Repeatability and effects of principal component analysis-based denoising. In NMR IN BIOMEDICINE, 2022. ISSN 0952-3480. https://doi.org/10.1002/nbm.4877; WOS

 

• VALKOVIČ, Ladislav – CLARKE, W.T. – SCHMID, A.I. – RAMAN, B. – ELLIS, J. – WATKINS, H. – ROBSON, M.D. – NEUBAUER, S. – RODGERS, C.T. Measuring inorganic phosphate and intracellular pH in the healthy and hypertrophic cardiomyopathy hearts by in vivo 7T 31P-cardiovascular magnetic resonance spectroscopy. In Journal of Cardiovascular Magnetic Resonance, 2019, vol. 21, p. 19. (2018: 5.070 – IF, Q1 – JCR, 2.896 – SJR, Q1 – SJR). (2019 – Current Contents). ISSN 1097-6647. https://doi.org/10.1186/s12968-019-0529-4

WOS citations: 7; SCOPUS citations: 1

1. [1.1] ESMAEILI, M. – VETTUKATTIL, R. In Vivo Magnetic Resonance Spectroscopy Methods for Investigating Cardiac Metabolism. In METABOLITES. FEB 2022, vol. 12, no. 2. https://doi.org/10.3390/metabo12020189; WOS

2. [1.1] GUPTA, A. Cardiac P-31 MR spectroscopy: development of the past five decades and future vision-will it be of diagnostic use in clinics?. In HEART FAILURE REVIEWS, 2022. ISSN 1382-4147. https://doi.org/10.1007/s10741-022-10287-x; WOS

3. [1.1] LYU, Y. – THAI, P.N. – REN, L. – TIMOFEYEV, V. – JIAN, Z. – PARK, S. – GINSBURG, K.S. – OVERTON, J. – BOSSUYT, J. – BERS, D.M. – YAMOAH, E.N. – CHEN-IZU, Y. – CHIAMVIMONVAT, N. – ZHANG, X.-D. Beat-to-beat dynamic regulation of intracellular pH in cardiomyocytes. In ISCIENCE, 2022, vol. 25, no. 1. https://doi.org/10.1016/j.isci.2021.103624; WOS

4. [1.1] PREVIS, M.J. – O’LEARY, T.S. – MORLEY, M.P. – PALMER, B.M. – LEWINTER, M. – YOB, J.M. – PAGANI, F.D. – PETUCCI, C. – KIM, M.S. – MARGULIES, K.B. – ARANY, Z. – KELLY, D.P. – DAY, S.M. Defects in the Proteome and Metabolome in Human Hypertrophic Cardiomyopathy. In CIRCULATION-HEART FAILURE. ISSN 1941-3289, JUN 2022, vol. 15, no. 6. https://doi.org/10.1161/CIRCHEARTFAILURE.121.009521; WOS

5. [1.1] WAKEFIELD, J.I. – BELL, S.P. – PALMER, B.M. Inorganic phosphate accelerates cardiac myofilament relaxation in response to lengthening. In FRONTIERS IN PHYSIOLOGY. SEP 12 2022, vol. 13. https://doi.org/10.3389/fphys.2022.980662; WOS

6. [1.1] YUAN, X.H. – ZHU, X.M. – CHEN, Y. – LIU, W.Y. – QIAN, W. – XU, Y. – ZHU, Y.S. Cardiac energetics alteration in a chronic hypoxia rat model: A non-invasive in vivo P-31 magnetic resonance spectroscopy study. In JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY. ISSN 0895-3996, 2022, vol. 30, no. 1, p. 165-175. https://doi.org/10.3233/XST-210985; WOS

7. [1.1] YURISTA, S.R. – EDER, R.A. – KWON, D.H. – FARRAR, C.T. – YEN, Y.F. – TANG, W.H.W. – NGUYEN, C.T. Magnetic resonance imaging of cardiac metabolism in heart failure: how far have we come?. In EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING. ISSN 2047-2404, SEP 10 2022, vol. 23, no. 10, p. 1277-1289. https://doi.org/10.1093/ehjci/jeac121; WOS

8. [1.2] LYU, Y. – TIMOFEYEV, V. – OVERTON, J. – THAI, P.N. – YAMOAH, E.N. – CHIAMVIMONVAT, N. – ZHANG, X.D. Protocol to record and quantify the intracellular pH in contracting cardiomyocytes. In STAR PROTOCOLS, 2022, vol. 3, no. 2. https://doi.org/10.1016/j.xpro.2022.101301; SCOPUS

 

• VALKOVIČ, Ladislav – CHMELÍK, M. – KUKUROVÁ, I.J. – JAKUBOVÁ, M. – KIPFELSBERGER, M.Ch. – KRUMPOLEC, P. – JELENC, M.T. – BOGNER, W. – MEYERSPEER, M. – UKROPEC, J. – FROLLO, Ivan – UKROPCOVÁ, B. – TRATTNIG, S. – KRŠŠÁK, M. Depth-resolved surface coil MRS (DRESS)-localized dynamic 31P-MRS of the exercising human gastrocnemius muscle at 7 T. In NMR in Biomedicine, 2014, vol. 27, no. 11, p. 1346-1352. (2013: 3.559 – IF, Q1 – JCR, 1.630 – SJR, Q1 – SJR). (2014 – Current Contents). ISSN 0952-3480. https://doi.org/10.1002/nbm.3196

WOS citations: 1

1. [1.1] WEIS, J. – JAFAR, M. – LISS, P. Phosphorus MRS of healthy human spleen. In NMR IN BIOMEDICINE, 2022, vol. 35, no. 10, p. ISSN 0952-3480. https://doi.org/10.1002/nbm.4779; WOS

 

• VALKOVIČ, Ladislav – CHMELÍK, M. – KUKUROVÁ, I.J. – KRŠŠÁK, M. – GRUBER, S. – FROLLO, Ivan – TRATTNIG, S. – BOGNER, W. Time-resolved phosphorous magnetization transfer of the human calf muscle at 3 T and 7 T: A feasibility study. In European Journal of Radiology, 2013, vol. 82, no. 5, p. 745-751. (2012: 2.512 – IF, Q2 – JCR, 1.007 – SJR, Q1 – SJR). (2013 – Current Contents). ISSN 0720-048X. https://doi.org/10.1016/j.ejrad.2011.09.024

Other citations: 1

1. [3.1] WIDMAIER, M. – LIM, S. – WENZ, D. – XIN, L. Fast in vivo assay of creatine kinase in the human brain by 31P magnetic resonance fingerprinting. In RESEARCH SQUARE, 2022. https://doi.org/10.21203/rs.3.rs-1708658/v3.

 

• VALKOVIČ, Ladislav – CLARKE, W.T. – PURVIS, L.A.B. – SCHALLER, B. – ROBSON, M.D. – RODGERS, C.T. Adiabatic excitation for 31P MR spectroscopy in the human heart at 7 T: A feasibility study. In Magnetic Resonance in Medicine, 2017, vol. 78, no. 5, p. 1667-1673. (2016: 3.924 – IF, Q1 – JCR, 1.945 – SJR, Q1 – SJR). (2017 – Current Contents). ISSN 0740-3194. https://doi.org/10.1002/mrm.26576

WOS citations: 1

1. [1.1] GUPTA, A. Cardiac P-31 MR spectroscopy: development of the past five decades and future vision-will it be of diagnostic use in clinics? In HEART FAILURE REVIEWS, 2022. ISSN 1382-4147. https://doi.org/10.1007/s10741-022-10287-x; WOS

 

• VALKOVIČ, Ladislav – CHMELÍK, M. – MEYERSPEER, M. – GAGOSKI, B. – RODGERS, C. – KRŠŠÁK, M. – ANDRONESI, O. – TRATTNIG, S. – BOGNER, W. Dynamic 31P –MRSI using spiral spectroscopic imaging can map mitochondrial capacity in muscles of the human calf during plantar flexion exercise at 7 T. In NMR in Biomedicine, 2016, vol. 29, no. 12, p. 1825-1834. (2015: 2.983 – IF, Q1 – JCR, 1.624 – SJR, Q1 – SJR). (2016 – Current Contents). ISSN 0952-3480. https://doi.org/10.1002/nbm.3662

WOS citations: 2

1. [1.1] CHENG, H.L.M. Emerging MRI techniques for molecular and functional phenotyping of the diseased heart. In FRONTIERS IN CARDIOVASCULAR MEDICINE. ISSN 2297-055X, DEC 5 2022, vol. 9. https://doi.org/10.3389/fcvm.2022.1072828; WOS

2. [1.1] SUN, P. – WU, Z.G. – LIN, L.J. – HU, G.L. – ZHANG, X.X. – WANG, J.Z. MR-Nucleomics: The study of pathological cellular processes with multinuclear magnetic resonance spectroscopy and imaging in vivo. In NMR IN BIOMEDICINE. ISSN 0952-3480, 2022. https://doi.org/10.1002/nbm.4845; WOS

 

• VALKOVIČ, Ladislav – GAJDOŠÍK, M. – TRAUSSNIGG, S. – WOLF, P. – CHMELÍK, M. – KIENBACHER, Ch. – BOGNER, W. – KREBS, M. – TRAUNER, M. – TRATTNIG, S. – KRŠŠÁK, M. Application of localized 31P MRS saturation transfer at 7 T for measurement of ATP metabolism in the liver: Reproducibility and initial clinical application in patients with non-alcoholic fatty liver disease. In European Radiology, 2014, vol. 24, no. 7, p. 1602-1609. (2013: 4.338 – IF, Q1 – JCR, 2.289 – SJR, Q1 – SJR). (2014 – Current Contents). ISSN 0938-7994. https://doi.org/10.1007/s00330-014-3141-x

WOS citations: 2

1. [1.1] RIETZLER, A. – STEIGER, R. – MANGESIUS, S. – WALCHHOFER, L.M. – GOTHE, R.M. – SCHOCKE, M. – GIZEWSKI, E.R. – GRAMS, A.E. Energy metabolism measured by 31P magnetic resonance spectroscopy in the healthy human brain. In JOURNAL OF NEURORADIOLOGY, 2022, vol. 49, no. 5, p. 370-379. ISSN 0150-9861. https://doi.org/10.1016/j.neurad.2021.11.006; WOS

2. [1.1] VAN DEN WILDENBERG, L. – GURSAN, A. – SEELEN, L.W.F. – VAN DER VELDEN, T.A. – GOSSELINK, M.W.J.M. – FROELING, M. – VAN DER KEMP, W.J.M. – KLOMP, D.W.J. – PROMPERS, J.J. In vivo phosphorus magnetic resonance spectroscopic imaging of the whole human liver at 7 T using a phosphorus whole-body transmit coil and 16-channel receive array: Repeatability and effects of principal component analysis-based denoising. In NMR IN BIOMEDICINE, 2022. ISSN 0952-3480. https://doi.org/10.1002/nbm.4877; WOS

 

• VALKOVIČ, Ladislav – UKROPCOVÁ, B. – CHMELÍK, M. – BALÁŽ, M. – BOGNER, W. – SCHMID, A. – FROLLO, Ivan – ZEMKOVÁ, E. – KLIMEŠ, I. – UKROPEC, J. – TRATTNIG, S. – KRŠŠÁK, M. Interrelation of 31P-MRS metabolism measurements in resting and exercised quadriceps muscle of overweight-to-obese sedentary individuals. In NMR in Biomedicine, 2013, vol. 26, no. 12, p. 1714-1722. (2012: 3.446 – IF, Q1 – JCR, 1.628 – SJR, Q1 – SJR). (2013 – Current Contents). ISSN 0952-3480. https://doi.org/10.1002/nbm.3008

WOS citations: 1

1. [1.1] GEORGIEV, A. – GRANATA, C. – RODEN, M. The role of mitochondria in the pathophysiology and treatment of common metabolic diseases in humans. In AMERICAN JOURNAL OF PHYSIOLOGY-CELL PHYSIOLOGY, 2022, vol. 322, no. 6, p. C1248-C1259. ISSN 0363-6143. https://doi.org/10.1152/ajpcell.00035.2022; WOS

 

• VALKOVIČ, Ladislav – CHMELÍK, M. – KRŠŠÁK, M. In-vivo 31P-MRS of skeletal muscle and liver: A way for non-invasive assessment of their metabolism. In Analytical Biochemistry, 2017, vol. 529, p. 193-215. (2016: 2.334 – IF, Q2 – JCR, 0.719 – SJR, Q2 – SJR). (2017 – Current Contents, WOS, SCOPUS). ISSN 0003-2697. https://doi.org/10.1016/j.ab.2017.01.018

WOS citations: 10; other citations: 2

1. [1.1] ESMAEILI, M. – VETTUKATTIL, R. In Vivo Magnetic Resonance Spectroscopy Methods for Investigating Cardiac Metabolism. In METABOLITES. FEB 2022, vol. 12, no. 2. https://doi.org/10.3390/metabo12020189; WOS

2. [1.1] KOLKOVSKY, A.L.L. – CARLIER, P.G. – MARTY, B. – MEYERSPEER, M. Interleaved and simultaneous multi-nuclear magnetic resonance in vivo. Review of principles, applications and potential. In NMR IN BIOMEDICINE. ISSN 0952-3480, OCT 2022, vol. 35, no. 10. https://doi.org/10.1002/nbm.4735; WOS

3. [1.1] LEGAKI, A.I. – MOUSTAKAS, I.I. – SIKORSKA, M. – PAPADOPOULOS, G. – VELLIOU, R.I. – CHATZIGEORGIOU, A. Hepatocyte Mitochondrial Dynamics and Bioenergetics in Obesity-Related Non-Alcoholic Fatty Liver Disease. In CURRENT OBESITY REPORTS. ISSN 2162-4968, SEP 2022, vol. 11, no. 3, p. 126-143. https://doi.org/10.1007/s13679-022-00473-1; WOS

4. [1.1] NIJHOLT, K.T. – SANCHEZ-AGUILERA, P.I. – VOORRIPS, S.N. – DE BOER, R.A. – WESTENBRINK, B.D. Exercise: a molecular tool to boost muscle growth and mitochondrial performance in heart failure?. In EUROPEAN JOURNAL OF HEART FAILURE. ISSN 1388-9842, FEB 2022, vol. 24, no. 2, p. 287-298. https://doi.org/10.1002/ejhf.2407; WOS

5. [1.1] PAPALIA, F. – CHARLES-EDWARDS, G. – OKONKO, D.O. Reply to the letter regarding the article ‘Cardiac energetics in patients with chronic heart failure and iron deficiency: an in-vivo P-31 magnetic resonance spectroscopy study’. In EUROPEAN JOURNAL OF HEART FAILURE. ISSN 1388-9842, OCT 2022, vol. 24, no. 10, p. 1992-1993. https://doi.org/10.1002/ejhf.2625; WOS

6. [1.1] PERSSON, H.L. – SIOUTAS, A. – KENTSON, M. – JACOBSON, P. – LUNDBERG, P. – LEINHARD, O.D. – FORSGREN, M.F. Skeletal Myosteatosis is Associated with Systemic Inflammation and a Loss of Muscle Bioenergetics in Stable COPD. In JOURNAL OF INFLAMMATION RESEARCH. 2022, vol. 15, p. 4367-4384. https://doi.org/10.2147/JIR.S366204; WOS

7. [1.1] SEELEN, L.W.F. – VAN DEN WILDENBERG, L. – VAN DER KEMP, W.J.M. – HOESEIN, F.A.A.M. – MOHAMMAD, N.H. – MOLENAAR, I.Q. – VAN SANTVOORT, H.C. – PROMPERS, J.J. – KLOMP, D.W.J. Prospective of P-31 MR Spectroscopy in Hepatopancreatobiliary Cancer: A Systematic Review of the Literature. In JOURNAL OF MAGNETIC RESONANCE IMAGING, 2022. ISSN 1053-1807. https://doi.org/10.1002/jmri.28372; WOS

8. [1.1] THEILLET, F.X. – LUCHINAT, E. In-cell NMR: Why and how?. In PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY. ISSN 0079-6565, OCT-DEC 2022, vol. 132-133, p. 1-112. https://doi.org/10.1016/j.pnmrs.2022.04.002; WOS

9. [1.1] VAN DEN WILDENBERG, L. – GURSAN, A. – SEELEN, L.W.F. – VAN DER VELDEN, T.A. – GOSSELINK, M.W.J.M. – FROELING, M. – VAN DER KEMP, W.J.M. – KLOMP, D.W.J. – PROMPERS, J.J. In vivo phosphorus magnetic resonance spectroscopic imaging of the whole human liver at 7 T using a phosphorus whole-body transmit coil and 16-channel receive array: Repeatability and effects of principal component analysis-based denoising. In NMR IN BIOMEDICINE, 2022. ISSN 0952-3480. https://doi.org/10.1002/nbm.4877; WOS

10. [1.1] WEIS, J. – JAFAR, M. – LISS, P. Phosphorus MRS of healthy human spleen. In NMR IN BIOMEDICINE. ISSN 0952-3480, OCT 2022, vol. 35, no. 10. https://doi.org/10.1002/nbm.4779; WOS

11. [3.1] KO, S.-F. – HUANG, T.-H. – LIN, Y.-P. – CHEN, Y.-L. – YIP, H.-K. Accuracy and precision of 31P-MRS assessment for evaluating the effect of melatonin-pretreated mitochondria transferring on liver fibrosis of rats. In MELATONIN RESEARCH, 2022, vol. 5, no. 1, p. 18-33. https://doi.org/https://doi.org/10.32794/mr112500117

12. [3.1] MADELIN, G. X-Nuclei Magnetic Resonance Imaging, 2022, ISBN 9789814800976.

 

• VALKOVIČ, Ladislav – CHMELÍK, M. – UKROPCOVÁ, B. – HECKMANN, T. – BOGNER, W. – FROLLO, Ivan – TSCHAN, H. – KREBS, M. – BACHL, N. – UKROPEC, J. – TRATTNIG, S. – KRŠŠÁK, M. Skeletal muscle alkaline Pi pool is decreased in overweight-to-obese sedentary subjects and relates to mitochondrial capacity and phosphodiester content. In Scientific Reports, 2016, vol. 6, art. no. 20087. (2015: 5.228 – IF, Q1 – JCR, 2.034 – SJR, Q1 – SJR). (2016 – Current Contents). ISSN 2045-2322. https://doi.org/10.1038/srep20087

WOS citations: 2; other citations: 1

1. [1.1] HE, B. – CHEN, Y.S. – WANG, L. – YANG, Y. – XIA, C.C. – ZHENG, J. – GAO, F.B. Compact MR-compatible ergometer and its application in cardiac MR under exercise stress: A preliminary study. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, OCT 2022, vol. 88, no. 4, p. 1927-1936. https://doi.org/10.1002/mrm.29311; WOS

2. [1.1] STEPHENSON, M.C. – KRISHNA, L. – SELVAN, R.M.P. – TAI, Y.K. – WONG, C.J.K. – YIN, J.N. – TOH, S.J. – TORTA, F. – TRIEBL, A. – FROHLICH, J. – BEYER, C. – LI, J.Z. – TAN, S.S. – WONG, C.K. – CHINNASAMY, D. – PAKKIRI, L.S. – DRUM, C.L. – WENK, M.R. – TOTMAN, J.J. – FRANCO-OBREGON, A. Magnetic field therapy enhances muscle mitochondrial bioenergetics and attenuates systemic ceramide levels following ACL reconstruction: Southeast Asian randomized-controlled pilot trial. In JOURNAL OF ORTHOPAEDIC TRANSLATION. ISSN 2214-031X, JUL 2022, vol. 35, p. 99-112. https://doi.org/10.1016/j.jot.2022.09.011; WOS

3. [3.1] MADELIN, G. X-Nuclei Magnetic Resonance Imaging, 2022, ISBN 9789814800976.

 

• WAMPL, S. – KÖRNER, T. – VALKOVIČ, Ladislav – TRATTNIG, S. – WOLZT, M. – MEYERSPEER, M. – SCHMID, A.I. Investigating the effect of trigger delay on cardiac 31P MRS signals. In Scientific Reports, 2021, vol. 11, art. no. 9268. (2020: 4.380 – IF, Q1 – JCR, 1.240 – SJR, Q1 – SJR). (2021 – Current Contents). ISSN 2045-2322. https://doi.org/10.1038/s41598-021-87063-8

WOS citations: 1

1. [1.1] HE, H.M. – BAKA, T. – BALSCHI, J. – MOTANI, A.S. – NGUYEN, K.K. – LIU, Q.X. – SLATER, R. – ROCK, B. – WANG, C. – HALE, C. – KARAMANLIDIS, G. – HARTMAN, J.J. – MALIK, F.I. – REAGAN, J.D. – LUPTAK, I. Novel Small-Molecule Troponin Activator Increases Cardiac Contractile Function Without Negative Impact on Energetics. In CIRCULATION-HEART FAILURE. ISSN 1941-3289, MAR 2022, vol. 15, no. 3. https://doi.org/10.1161/CIRCHEARTFAILURE.121.009195; WOS

 

• WATSON, W.D. – MILLER, J.J.J. – LEWIS, A. – NEUBAUER, S. – TYLER, D. – RIDER, O. – VALKOVIČ, Ladislav. Use of cardiac magnetic resonance to detect changes in metabolism in heart failure. In Cardiovascular Diagnosis and Therapy, 2020, vol. 10, no. 3, p. 583-597. (2019: 2.615 – IF, Q2 – JCR, 0.767 – SJR, Q2 – SJR). (2020 – Current Contents). ISSN 2223-3652. https://doi.org/10.21037/cdt.2019.12.13

WOS citations: 1

1. [1.1] ESMAEILI, M. – VETTUKATTIL, R. In Vivo Magnetic Resonance Spectroscopy Methods for Investigating Cardiac Metabolism. In METABOLITES, 2022, vol. 12, no. 2. https://doi.org/10.3390/metabo12020189; WOS

 

• WAWRUCH, M. – WIMMER, Gejza, ml. – MURIN, J. – PADUCHOVA, M. – TESAR, T. – HLINKOVA, L. – SLAVKOVSKY, P. – FÁBRYOVÁ, Ľ. – AARNIO, E. Patient‑associated characteristics influencing the risk for non‑persistence with statins in older patients with peripheral arterial disease. In Drugs & Aging, 2019, vol. 36, no. 9, p. 863-873. (2018: 2.846 – IF, Q2 – JCR, 1.128 – SJR, Q1 – SJR). (2019 – Current Contents). ISSN 1170-229X. https://doi.org/10.1007/s40266-019-00689-2

WOS citations: 1; other citations: 1

1. [1.1] BARENBROCK, H. – FELD, J. – LAKOMEK, A. – VOLKERY, K. – KOPPE, J. – MAKOWSKI, L. – ENGELBERTZ, C.M. – REINECKE, H. – MALYAR, N. – FREISINGER, E. Sex-related differences in outcome after endovascular revascularization for lower extremity artery disease: A single-centre analysis of a specialized vascular unit. In VASA-EUROPEAN JOURNAL OF VASCULAR MEDICINE. ISSN 0301-1526, JAN 2022, vol. 51, no. 1, p. 29-36. https://doi.org/10.1024/0301-1526/a000978; WOS

2. [3.1] LAMPRIDOU, S. Adherence to treatment in Peripheral Artery Disease. In INDEPENDENT NURSE, 2022, vol. 2. http://dx.doi.org/10.12968/indn.2022.2.23

 

• WIMMER, G. – WITKOVSKÝ, Viktor – DUBY, T. Proper rounding of the measurement results under normality assumptions. In Measurement Science and Technology, 2000, vol. 11, p. 1659-1665. (1999: 0.850 – IF). (2000 – Current Contents). ISSN 0957-0233. https://doi.org/10.1088/0957-0233/11/12/302

WOS citations: 1

1. [2.1] ANDRIS, P. – DERMEK, T. – GOGOLA, D. – PRIBIL, J. – FROLLO, I. Analysis of NMR Signal for Static Magnetic Field Standard. In MEASUREMENT SCIENCE REVIEW. ISSN 1335-8871 2022, vol. 22, no. 2, p. 80-83. https://doi.org/10.2478/msr-2022-0010; WOS

 

• WITKOVSKÝ, Viktor. Computing the distribution of a linear combination of inverted gamma variables. In Kybernetika, 2001, vol. 37, no. 1, p. 79-90. (2000: 0.178 – IF). (2001 – Current Contents). ISSN 0023-5954.

WOS citations: 3

1. [1.1] COELHO, C.A. Likelihood Ratio Tests for Elaborate Covariance Structures and for MANOVA Models with Elaborate Covariance Structures-A Review. In JOURNAL OF THE INDIAN INSTITUTE OF SCIENCE. ISSN 0970-4140, 2022. https://doi.org/10.1007/s41745-022-00300-5; WOS

2. [1.1] ORDONEZ, D.M.T. – BATAC, R.C. Cascade events in geographical space. In INTERNATIONAL JOURNAL OF MODERN PHYSICS C. ISSN 0129-1831, APR 2022, vol. 33, no. 04. https://doi.org/10.1142/S0129183122500504; WOS

3. [1.1] SINGH, P. – YADAV, K. – MISHRA, H.B. – BUDHIRAJA, R. BER Analysis for OTFS Zero Forcing Receiver. In IEEE TRANSACTIONS ON COMMUNICATIONS. ISSN 0090-6778, APR 2022, vol. 70, no. 4, p. 2281-2297. https://doi.org/10.1109/TCOMM.2022.3148363; WOS

 

• YADAV, S. – HAVLICA, J. – HNATKO, M. – ŠAJGALÍK, P. – CIGÁŇ, Alexander – PALOU, M. – BARTONÍČKOVÁ, E. – BOHÁČ, M. – FRAJKOROVÁ, F. – MASILKO, J. – ZMRZLÝ, M. – KALINA, L. – HAJDÚCHOVÁ, M. – ENEV, V. Magnetic properties of Co1-xZnxFe2O4 spinel ferite nanoparticles synthesized by starch-assisted sol–gel autocombustion method and its ball milling. In Journal of Magnetism and Magnetic Materials, 2015, vol. 378, p. 190-199. (2014: 1.970 – IF, Q2 – JCR, 0.815 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 0304-8853. https://doi.org/10.1016/j.jmmm.2014.11.027

WOS citations: 4

1. [1.1] DUTTA, S.K. – AKHTER, M. – AHMED, J. – AMIN, M.K. – DHAR, K. Synthesis and Catalytic Activity of Spinel Ferrites: A Brief Review. In BIOINTERFACE RESEARCH IN APPLIED CHEMISTRY. ISSN 2069-5837, AUG 15 2022, vol. 12, no. 4, p. 4399-4416. https://doi.org/10.33263/BRIAC124.43994416; WOS

2. [1.1] JEDDI, M. – RABBANI, M. – TARLANI, A. Fabrication of novel Chlorophyll/CuFe2O4 nanoparticles exploiting as photocatalyst for dye-scavenging under LED light. In INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY. ISSN 1735-1472, NOV 2022, vol. 19, no. 11, p. 10547-10562. https://doi.org/10.1007/s13762-022-04239-z; WOS

3. [1.1] MOKHOSI, S.R. – MDLALOSE, W. – NHLAPO, A. – SINGH, M. Advances in the Synthesis and Application of Magnetic Ferrite Nanoparticles for Cancer Therapy. In PHARMACEUTICS. MAY 2022, vol. 14, no. 5. https://doi.org/10.3390/pharmaceutics14050937; WOS

4. [1.1] NANDY, S. – LATWAL, M. – PANDEY, G. – CHAE, K.H. Synthesis of Nanostructured Ferrites and Cation Distribution Studies by X-ray Magnetic Circular Dichroism, Mossbauer Spectroscopy, and X-ray Absorption Spectroscopy. In JOURNAL OF ELECTRONIC MATERIALS. ISSN 0361-5235, DEC 2022, vol. 51, no. 12, p. 6663-6688. https://doi.org/10.1007/s11664-022-09951-7; WOS

 

• YADAV, S. – KUŘITKA, I. – HAVLICA, J. – HNATKO, M. – CIGÁŇ, Alexander – MASILKO, J. – KALINA, L. – HAJDÚCHOVÁ, M. – RUSNÁK, J. – ENEV, V. Structural, magnetic, elastic, dielectric and electrical properties of hot-press sintered Co1-xZnxFe2O4 (x=0.0, 0.5) spinel ferrite nanoparticles. In Journal of Magnetism and Magnetic Materials, 2018, vol. 447, p. 48-57. (2017: 3.046 – IF, Q2 – JCR, 0.786 – SJR, Q1 – SJR). (2018 – Current Contents, WOS, SCOPUS). ISSN 0304-8853. https://doi.org/10.1016/j.jmmm.2017.09.033

WOS citations: 13; SCOPUS citations: 1

1. [1.1] ABU-ELSAAD, N.I. – MAZEN, S.A. – NAWARA, A.S. Impact of erbium on structural, optical, magnetic and photocatalytic performance of Co-Mn nanoferrites. In PHYSICA SCRIPTA. ISSN 0031-8949, DEC 1 2022, vol. 97, no. 12. https://doi.org/10.1088/1402-4896/ac9a0f; WOS

2. [1.1] AHMAD, S.I. Nano cobalt ferrites: Doping, Structural, Low-temperature, and room temperature magnetic and dielectric properties – A comprehensive review. In JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS. ISSN 0304-8853, NOV 15 2022, vol. 562. https://doi.org/10.1016/j.jmmm.2022.169840; WOS

3. [1.1] ASLAM, A. – REHMAN, A.U. – AMIN, N. – AMAMI, M. – NABI, M.A.U. – ALROBEI, H. – ASGHAR, M. – MORLEY, N.A. – AKHTAR, M. – ARSHAD, M.I. – MARAJ, M. – ABBAS, K. Sol-Gel Auto-combustion Preparation of M2+ = Mg2+, Mn2+, Cd2+ Substituted M0.25Ni0.15Cu0.25Co0.35Fe2O4 Ferrites and Their Characterizations. In JOURNAL OF SUPERCONDUCTIVITY AND NOVEL MAGNETISM. ISSN 1557-1939, FEB 2022, vol. 35, no. 2, p. 473-483. https://doi.org/10.1007/s10948-021-06085-5; WOS

4. [1.1] ATI, A.A. – ABDALSALAM, A.H. – ABBAS, H.H. Influence of annealing on structural, morphology, magnetic and optical properties of PLD deposited CuFe2O4 thin films. In INORGANIC CHEMISTRY COMMUNICATIONS. ISSN 1387-7003, DEC 2022, vol. 146. https://doi.org/10.1016/j.inoche.2022.110072; WOS

5. [1.1] HARQANI, N.A. – BASFER, N.M. The Role of Rare Earth (Y) Ions on the Structural, Magnetic and Mechanical Properties of Co-Mg Nanoferrites. In JOURNAL OF SUPERCONDUCTIVITY AND NOVEL MAGNETISM. ISSN 1557-1939, NOV 2022, vol. 35, no. 11, p. 3417-3429. https://doi.org/10.1007/s10948-022-06382-7; WOS

6. [1.1] JUNAID, M. – KHAN, M.A. – AL-MUHIMEED, T.I. – ALOBAID, A.A. – NAZIR, G. – ALSHAHRANI, T. – MAHMOOD, Q. – AKHTAR, M.N. Structural, spectral, dielectric, and magnetic properties of indium substituted Cu0.5Zn0.5Fe2-xO4 magnetic oxides. In JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS. ISSN 0957-4522, JAN 2022, vol. 33, no. 1, p. 27-41. https://doi.org/10.1007/s10854-021-07151-3; WOS

7. [1.1] KAUR, M. – KAUR, P. – BAHEL, S. K-band microwave absorption analysis of sol-gel synthesized cobalt-substituted zinc spinel ferrites. In JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS. ISSN 0957-4522, MAY 2022, vol. 33, no. 15, p. 12182-12200. https://doi.org/10.1007/s10854-022-08178-w; WOS

8. [1.1] KORE, E.K. – SHAHANE, G.S. – MULIK, R.N. Effect of ‘Zn’ substitution on structural, morphological, magnetic and optical properties of Co-Zn ferrite nanoparticles for ferrofluid application. In JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS. ISSN 0957-4522, MAY 2022, vol. 33, no. 13, p. 9815-9829. https://doi.org/10.1007/s10854-022-07949-9; WOS

9. [1.1] KURU, M. – KURU, T.S. Temperature- and frequency-dependent electrical characterization with humidity properties in MZC nanoferrites. In JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS. ISSN 0957-4522, AUG 2022, vol. 33, no. 23, p. 18587-18606. https://doi.org/10.1007/s10854-022-08709-5; WOS

10. [1.1] MAKSOUD, M.I.A.A. – GHOBASHY, M.M. – KODOUS, A.S. – FAHIM, R.A. – OSMAN, A.I. – AL-MUHTASEB, A.H. – ROONEY, D.W. – MAMDOUH, M.A. – NADY, N. – ASHOUR, A.H. Insights on magnetic spinel ferrites for targeted drug delivery and hyperthermia applications. In NANOTECHNOLOGY REVIEWS. ISSN 2191-9089, JAN 7 2022, vol. 11, no. 1, p. 372-413. https://doi.org/10.1515/ntrev-2022-0027; WOS

11. [1.1] PAWAR, A.D. – PATIL, B.B. – BHONGALE, S.R. – SALUNKHE, A.K. – KUMAR, S. – SHINDE, T.J. Effect of Ag doping on DC electrical resistivity, thermoelectrical power, VSM analysis and antimicrobial activity of copper-zinc nano-ferrites. In INDIAN JOURNAL OF PHYSICS. ISSN 0973-1458, SEP 2022, vol. 96, no. 11, p. 3161-3176. https://doi.org/10.1007/s12648-021-02245-4; WOS

12. [1.1] SARKER, M.S.I. – KUMAR, A. – HAQUE, M.M. – RAHMAN, M.M. – KHAN, M.K.R. Structural, morphological and magnetic properties of Sn doped CoFe2O4 nanoparticles. In JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS. ISSN 0304-8853, JAN 1 2022, vol. 541. https://doi.org/10.1016/j.jmmm.2021.168542; WOS

13. [1.1] TANVEER, M. – NISA, I. – NABI, G. – HUSSAIN, M.K. – KHALID, S. – QADEER, M.A. Sol-gel extended hydrothermal pathway for novel Cd-Zn co-doped Mg-ferrite nano-structures and a systematic study of structural, optical and magnetic properties. In JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS. ISSN 0304-8853, JUL 1 2022, vol. 553. https://doi.org/10.1016/j.jmmm.2022.169245; WOS

14. [1.2] RAO DARUVURI, H. – CHANDU, K. – MURALI, N. – PARAJULI, D. – MULUSHOA S.Y. – DASARI, M.P. Effect on structural, dc electrical resistivity, and magnetic properties by the substitution of Znsup2+/sup on Co-Cu nano ferrite. In INORGANIC CHEMISTRY COMMUNICATIONS, 2022, vol. 143. ISSN 1387-7003. https://doi.org/10.1016/j.inoche.2022.109794; SCOPUS

 

• YILDIZ, U. – CAPEK, Ignác – SAROV, Y. – COROBEA, M.C. – POLOVKOVÁ, Júlia. Kinetics and colloidal parameters of miniemulsion polymerization of butyl acrylate. In Polymer International, 2009, vol. 58, no. 12, p. 1411-1421. (2008: 2.029 – IF, Q2 – JCR, 0.964 – SJR, Q1 – SJR). (2009 – Current Contents). ISSN 0959-8103. https://doi.org/10.1002/pi.2676

WOS citations: 1; SCOPUS citations: 1

1. [1.1] GAO, Y.F. – ZHANG, J.M. – LIANG, J. – YUAN, D.M. – ZHAO, W.Z. Research progress of poly(methyl methacrylate) microspheres: Preparation, functionalization and application. In EUROPEAN POLYMER JOURNAL. ISSN 0014-3057, JUL 15 2022, vol. 175. https://doi.org/10.1016/j.eurpolymj.2022.111379; WOS

2. [1.2] MEDHI, A. – DHAR, A. – SARMAH, K. – DUTTA, P. – HALOI, D.J. Copolymers of Poly(butyl acrylate): Synthesis, Characterization and Compositional Analysis. In ASIAN JOURNAL OF CHEMISTRY, 2022, vol. 34, no. 4, p. 912-916. ISSN 0970-7077. https://doi.org/10.14233/ajchem.2022.23573; SCOPUS

 

• ZARIC, O. – JURÁŠ, Vladimír – SZOMOLÁNYI, Pavol – SCHREINER, M. – RAUDNER, M. – GIRAUDO, C. – TRATTNIG, S. Frontiers of sodium MRI revisited: From cartilage to brain imaging. In Journal of Magnetic Resonance Imaging, 2020, vol. 54, no. 1, p. 58-75. (2019: 3.954 – IF, Q1 – JCR, 1.535 – SJR, Q1 – SJR). (2020 – Current Contents). ISSN 1053-1807. https://doi.org/10.1002/jmri.27326

WOS citations: 11; other citations: 1

1. [1.1] BEN-SHALOM, I. – KARNI, A. – KOLB, H. The Role of Molecular Imaging as a Marker of Remyelination and Repair in Multiple Sclerosis. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. JAN 2022, vol. 23, no. 1. https://doi.org/10.3390/ijms23010474; WOS

2. [1.1] CHEN, Q.P. – SHAH, N.J. – WORTHOFF, W.A. Compressed Sensing in Sodium Magnetic Resonance Imaging: Techniques, Applications, and Future Prospects. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, MAY 2022, vol. 55, no. 5, p. 1340-1356. https://doi.org/10.1002/jmri.28029; WOS

3. [1.1] HANDA, P. – SAMKARIA, A. – SHARMA, S. – ARORA, Y. – MANDAL, P.K. Comprehensive Account of Sodium Imaging and Spectroscopy for Brain Research. In ACS CHEMICAL NEUROSCIENCE. ISSN 1948-7193, APR 6 2022, vol. 13, no. 7, p. 859-875. https://doi.org/10.1021/acschemneuro.2c00027; WOS

4. [1.1] LIN, T. – ZHAO, Y. – CHEN, J.L. – WU, C.X. – LI, Z. – CAO, Y.M. – LU, R. – ZHANG, J.W. – ZHAO, C. – LU, Y. Carboxymethyl chitosan-assisted MnOx nanoparticles: Synthesis, characterization, detection and cartilage repair in early osteoarthritis. In CARBOHYDRATE POLYMERS. ISSN 0144-8617, OCT 15 2022, vol. 294. https://doi.org/10.1016/j.carbpol.2022.119821; WOS

5. [1.1] MALLIO, C.A. – VADALA, G. – RUSSO, F. – BERNETTI, C. – AMBROSIO, L. – ZOBEL, B.B. – QUATTROCCHI, C.C. – PAPALIA, R. – DENARO, V. Novel Magnetic Resonance Imaging Tools for the Diagnosis of Degenerative Disc Disease: A Narrative Review. In DIAGNOSTICS. FEB 2022, vol. 12, no. 2. https://doi.org/10.3390/diagnostics12020420; WOS

6. [1.1] MENNECKE, A.B. – NAGEL, A.M. – HUHN, K. – LINKER, R.A. – SCHMIDT, M. – ROTHHAMMER, V. – WILFERTH, T. – LINZ, P. – WEGMANN, J. – EISENHUT, F. – ENGELHORN, T. – DOERFLER, A. Longitudinal Sodium MRI of Multiple Sclerosis Lesions: Is there Added Value of Sodium Inversion Recovery MRI. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, JAN 2022, vol. 55, no. 1, p. 140-151. https://doi.org/10.1002/jmri.27832; WOS

7. [1.1] OKADA, T. – AKASAKA, T. Editorial for “Longitudinal Sodium MRI of Multiple Sclerosis Lesions: Is There Added Value of Sodium Inversion Recovery MRI?”. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, JAN 2022, vol. 55, no. 1, p. 152-153. https://doi.org/10.1002/jmri.27872; WOS

8. [1.1] ROSSITTO, G. – DELLES, C. Does Excess Tissue Sodium Storage Regulate Blood Pressure?. In CURRENT HYPERTENSION REPORTS. ISSN 1522-6417, MAY 2022, vol. 24, no. 5, p. 115-122. https://doi.org/10.1007/s11906-022-01180-x; WOS

9. [1.1] SANCHEZ-HEREDIA, J.D. – OLIN, R.B. – GRIST, J.T. – WANG, W.J. – BOGH, N. – ZHURBENKO, V. – HANSEN, E.S. – SCHULTE, R.F. – TYLER, D. – LAUSTSEN, C. – ARDENKJAER-LARSEN, J.H. RF coil design for accurate parallel imaging on C-13 MRSI using Na-23 sensitivity profiles. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, SEP 2022, vol. 88, no. 3, p. 1391-1405. https://doi.org/10.1002/mrm.29259; WOS

10. [1.1] THEILLET, F.X. – LUCHINAT, E. In-cell NMR: Why and how?. In PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY. ISSN 0079-6565, OCT-DEC 2022, vol. 132-133, p. 1-112. https://doi.org/10.1016/j.pnmrs.2022.04.002; WOS

11. [1.1] WILFERTH, T. – MENNECKE, A. – GAST, L.V. – LACHNER, S. – MULLER, M. – ROTHHAMMER, V. – HUHN, K. – UDER, M. – DOERFLER, A. – NAGEL, A.M. – SCHMIDT, M. Quantitative 7T sodium magnetic resonance imaging of the human brain using a 32-channel phased-array head coil: Application to patients with secondary progressive multiple sclerosis. In NMR IN BIOMEDICINE. ISSN 0952-3480, DEC 2022, vol. 35, no. 12. https://doi.org/10.1002/nbm.4806; WOS

12. [3.1] LIAO, B. – ZUO, H. – CHEN, X. – YU, Y. – LI, Y. Few-Shot Brain Tumor MRI Image Classification Using Graph Isomorphic Network and Prewitt Operator. In SSRN, 2022, http://dx.doi.org/10.2139/ssrn.4213123.

 

• ZBÝŇ, Š. – SCHREINER, M. – JURÁŠ, Vladimír – MLYNÁRIK, V. – SZOMOLÁNYI, Pavol – LAURENT, D. – SCOTTI, C. – HABER, H. – DELIGIANNI, X. – BIERI, O. – NIEMINEN, M.T. – TRATTNIG, S. Assessment of low-grade focal cartilage lesions in the knee with sodium MRI at 7 T: Reproducibility and short-term, 6-month follow-up data. In Investigative Radiology, 2020, vol. 55, no. 7, p. 430-437. (2019: 5.156 – IF, Q1 – JCR, 2.564 – SJR, Q1 – SJR). (2020 – Current Contents). ISSN 0020-9996. https://doi.org/10.1097/RLI.0000000000000652

WOS citations: 3; SCOPUS citations: 1

1. [1.1] LEE, J.H. – YOON, Y.C. – KIM, H.S. – LEE, J. – KIM, E. – FINDEKLEE, C. – KATSCHER, U. In vivo electrical conductivity measurement of muscle, cartilage, and peripheral nerve around knee joint using MR-electrical properties tomography. In SCIENTIFIC REPORTS. ISSN 2045-2322, JAN 7 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-021-03928-y; WOS

2. [1.1] MILLS, E.S. – BECERRA, J.A. – YENSEN, K. – BOLIA, I.K. – SHONTZ, E.C. – KEBAISH, K.J. – DOBITSCH, A. – HASAN, L.K. – HARATIAN, A. – ONG, C.D. – GROSS, J. – PETRIGLIANO, F.A. – WEBER, A.E. Current and Future Advanced Imaging Modalities for the Diagnosis of Early Osteoarthritis of the Hip. In ORTHOPEDIC RESEARCH AND REVIEWS. 2022, vol. 14, p. 327-338. https://doi.org/10.2147/ORR.S357498; WOS

3. [1.1] NIEMINEN, M.T. – CASULA, V. – NISSI, M.J. Compositional MRI of articular cartilage – current status and the way forward. In OSTEOARTHRITIS AND CARTILAGE. ISSN 1063-4584, MAY 2022, vol. 30, no. 5, p. 633-635. https://doi.org/10.1016/j.joca.2022.01.006; WOS

4. [1.2] FERNANDES, T.L. – DE SANTANNA, J.P.C. – FIORIO, B.A.P. – DE FARIA, R.R. – PEDRINELLI, A. – BORDALO, M. State of the art for articular cartilage morphological and composition imaging evaluation in football players. In JOURNAL OF CARTILAGE AND JOINT PRESERVATION, 2022, vol. 2, no. 2. https://doi.org/10.1016/j.jcjp.2022.100067; SCOPUS

 

• ZBÝŇ, Š. – MLYNÁRIK, V. – JURÁŠ, Vladimír – SZOMOLÁNYI, Pavol – TRATTNIG, S. Evaluation of cartilage repair and osteoarthritis with sodium MRI. In NMR in Biomedicine, 2016, vol. 29, no. 2, p. 206-215. (2015: 2.983 – IF, Q1 – JCR, 1.624 – SJR, Q1 – SJR). (2016 – Current Contents). ISSN 0952-3480. https://doi.org/10.1002/nbm.3280

WOS citations: 2; other citations: 1

1. [1.1] CHEN, Q.P. – SHAH, N.J. – WORTHOFF, W.A. Compressed Sensing in Sodium Magnetic Resonance Imaging: Techniques, Applications, and Future Prospects. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, MAY 2022, vol. 55, no. 5, p. 1340-1356. https://doi.org/10.1002/jmri.28029; WOS

2. [1.1] KOLKOVSKY, A.L.L. – CARLIER, P.G. – MARTY, B. – MEYERSPEER, M. Interleaved and simultaneous multi-nuclear magnetic resonance in vivo. Review of principles, applications and potential. In NMR IN BIOMEDICINE. ISSN 0952-3480, OCT 2022, vol. 35, no. 10. https://doi.org/10.1002/nbm.4735; WOS

3. [3.1] LI, L. – ZHAO, J. – QI, S. – LI, D. AIDS-Related Musculoskeletal Diseases. In RADIOLOGY OF INFECTIOUS AND INFLAMMATORY DISEASES – VOLUME 5. Springer, 2022, p. 217-233. https://doi.org/10.1007/978-981-16-5003-1_7

 

• ZBÝŇ, Š. – STELZENEDER, D. – WELSCH, G.H. – NEGRIN, L.L. – JURÁŠ, Vladimír – MAYERHOEFER, M.E. – SZOMOLÁNYI, Pavol – BOGNER, W. – DOMAYER, S. – WEBER, M. – TRATTNIG, S. Evaluation of native hyaline cartilage and repair tissue after two cartilage repair surgery techniques with 23Na MR imaging at 7 T: Initial experience. In Osteoarthritis and Cartilage, 2012, vol. 20, p. 837-845. (2011: 3.904 – IF, Q1 – JCR, 2.035 – SJR, Q1 – SJR). (2012 – Current Contents). ISSN 1063-4584. https://doi.org/10.1016/j.joca.2012.04.020

WOS citations: 1; SCOPUS citations: 1; other citations: 1

1. [1.1] KRENN, P. – EUGSTER, M. – ZOLLER, E.I. – FRIEDERICH, N.F. – RAUTER, G. Towards Robotic Surgery for Cartilage Replacement: A Review on Cartilage Defects. In NEW TRENDS IN MEDICAL AND SERVICE ROBOTICS. ISSN 2211-0984, 2022, vol. 106, p. 125-136. https://doi.org/10.1007/978-3-030-76147-9_14; WOS

2. [1.2] HEISS, R. – GUERMAZI, A. – JANKA, R. – UDER, M. – LI, X. – HAYASHI, D. – ROEMER, F.W. Update: Posttreatment Imaging of the Knee after Cartilage Repair. In SEMINARS IN MUSCULOSKELETAL RADIOLOGY, 2022, vol. 26, no. 3, p. 216-229. ISSN 1089-7860. https://doi.org/10.1055/s-0042-1743405; SCOPUS

3. [3.1] MADELIN, G. X-nuclei Magnetic Resonance Imaging. Pan Stanford Publishing, 2022, ISBN 978-9814800976.

 

• ZBÝŇ, Š. – BRIX, M.O. – JURÁŠ, Vladimír – DOMAYER, S. – WALZER, S.M. – MLYNÁRIK, V. – APPRICH, S. – BUCKENMAIER, K. – WINDHAGER, R. – TRATTNIG, S. Sodium magnetic resonance imaging of ankle joint in cadaver specimens, volunteers, and patients after different cartilage repair techniques at 7 T : Initial results. In Investigative Radiology, 2015, vol. 50, no. 4, p. 246-254. (2014: 4.437 – IF, Q1 – JCR, 2.982 – SJR, Q1 – SJR). (2015 – Current Contents). ISSN 0020-9996. https://doi.org/10.1097/RLI.0000000000000117

WOS citations: 2; other citations: 1

1. [1.1] ANISIMOV, N.V. – SHAKHPARONOV, V.V. – ROMANOV, A.V. – TARASOVA, A.A. – USANOV, I.A. – PAVLOVA, O.S. – GULYAEV, M.V. – PIROGOV, Y.A. Sodium MRI of Fish on 0.5T Clinical Scanner. In APPLIED MAGNETIC RESONANCE. ISSN 0937-9347, NOV 2022, vol. 53, no. 11, p. 1467-1479. https://doi.org/10.1007/s00723-022-01480-0; WOS

2. [1.1] FOWKES, M.M. – BORGES, P.D. – CACHO-NERIN, F. – BRENNAN, P.E. – VINCENT, T.L. – LIM, N.H. Imaging articular cartilage in osteoarthritis using targeted peptide radiocontrast agents. In PLOS ONE. ISSN 1932-6203, 2022, vol. 17, no. 5. https://doi.org/10.1371/journal.pone.0268223; WOS

3. [3.1] LI, L. – ZHAO, J. – QI, S. – LI, D. AIDS-Related Musculoskeletal Diseases. In RADIOLOGY OF INFECTIOUS AND INFLAMMATORY DISEASES – VOLUME 5. Springer, 2022, p. 217-233. https://doi.org/10.1007/978-981-16-5003-1_7

 

Scientific papers in domestic journals registered in Current Contents Connect with IF (impacted)

 

• ANDRIS, Peter – FROLLO, Ivan. Sensitivity analysis of the simply noise-matched receiving coil for NMR experiments. In Measurement Science Review, 2020, vol. 20, no. 5, p. 236-240. (2019: 0.900 – IF, Q4 – JCR, 0.326 – SJR, Q3 – SJR). (2020 – Current Contents). ISSN 1335-8871. https://doi.org/10.2478/msr-2020-0030

WOS citations: 1

1. [2.1] SIRUCKOVA, K. – MARCON, P. – DOSTAL, M. – SIRUCKOVA, A. – DOHNAL, P. Dual-Energy Spectral Computed Tomography: Comparing True and Virtual Non Contrast Enhanced Images. In MEASUREMENT SCIENCE REVIEW. ISSN 1335-8871, DEC 1 2022, vol. 22, no. 6, p. 261-268. https://doi.org/10.2478/msr-2022-0033; WOS

 

• GÁBELOVÁ, A. – FARKAŠOVÁ, T. – GURSKÁ, S. – MACHÁČKOVÁ, Z. – LUKAČKO, P. – WITKOVSKÝ, Viktor. Radiosensitivity of peripheral blood lymphocytes from healthy donors and cervical cancer patients; the correspondence of in vitro data with the clinical outcome. In Neoplasma, 2008, vol. 55, no. 3, p. 182-191. (2007: 1.208 – IF, Q4 – JCR, 0.527 – SJR, Q3 – SJR). (2008 – Current Contents). ISSN 0028-2685.

WOS citations: 1

1. [1.1] HUANG, Y.-M. – HSU, H.-H. – LIU, C.-K. – YANG, C.-K. – TSAI, P.-L. – TANG, T.-Y. – HSU, S.-M. – CHEN, Y.-J. Histopathological and Haemogram Features Correlate with Prognosis in Rectal Cancer Patients Receiving Neoadjuvant Chemoradiation without Pathological Complete Response. In JOURNAL OF CLINICAL MEDICINE, 2022, vol. 11, no. 17; WOS

 

• GOGOLA, Daniel – SZOMOLÁNYI, Pavol – ŠKRÁTEK, Martin – FROLLO, Ivan. Design and construction of novel instrumentation for low-field MR tomography. In Measurement Science Review, 2018, vol. 18, no. 3, p. 107-112. (2017: 1.345 – IF, Q3 – JCR, 0.441 – SJR, Q2 – SJR). (2018 – Current Contents). ISSN 1335-8871. https://doi.org/10.1515/msr-2018-0016

WOS citations: 2

1. [1.1] GIOVANNETTI, G. – GUERRINI, A. – MINOZZI, S. – PANETTA, D. – SALVADORI, P.A. Computer tomography and magnetic resonance for multimodal imaging of fossils and mummies. In MAGNETIC RESONANCE IMAGING. ISSN 0730-725X, DEC 2022, vol. 94, p. 7-17. https://doi.org/10.1016/j.mri.2022.08.019; WOS

2. [1.1] PERRON, S. – OURIADOV, A. – WAWRZYN, K. – HICKLING, S. – FOX, M.S. – SERRAI, H. – SANTYR, G. Application of a 2D frequency encoding sectoral approach to hyperpolarized Xe-129 MRI at low field. In JOURNAL OF MAGNETIC RESONANCE. ISSN 1090-7807, MAR 2022, vol. 336. https://doi.org/10.1016/j.jmr.2022.107159; WOS

 

• ROŠŤÁKOVÁ, Zuzana – ROSIPAL, Roman – SEIFPOUR, Saman – TREJO, L.J. A comparison of non-negative tucker decomposition and parallel factor analysis for identification and measurement of human EEG rhythms. In Measurement Science Review, 2020, vol. 20, no. 3, p. 126-138. (2019: 0.900 – IF, Q4 – JCR, 0.326 – SJR, Q3 – SJR). (2020 – Current Contents). ISSN 1335-8871. https://doi.org/10.2478/msr-2020-0015

WOS citations: 1

1. [1.1] ZDUNEK, R. – FONAL, K. Incremental Nonnegative Tucker Decomposition with Block-Coordinate Descent and Recursive Approaches. In SYMMETRY, 2022, vol. 14, no. 1. https://doi.org/10.3390/sym14010113; WOS

 

• VRŠANSKÝ, P. – SENDI, H. – HINKELMAN, J. – HAIN, Miroslav. Alienopterix Mlynský et al., 2018 complex in North Myanmar amber supports Umenocoleoidea/ae status. In Biologia, 2021, vol. 76, no. 8, p. 2207-2224. (2020: 1.350 – IF, Q4 – JCR, 0.282 – SJR, Q3 – SJR). (2021 – Current Contents). ISSN 0006-3088. https://doi.org/10.1007/s11756-021-00689-x

WOS citations: 5

1. [1.1] KACEROVA, J. – AZAR, D. Mesozoic cockroaches (Insecta: Mesoblattinidae, Blattulidae) from shale and dysodile of Lebanon. In BIOLOGIA, 2022. ISSN 0006-3088. https://doi.org/10.1007/s11756-022-01209-1; WOS

2. [1.1] LI, X. – HUANG, D. Predators or Herbivores: Cockroaches of Manipulatoridae Revisited with a New Genus from Cretaceous Myanmar Amber (Dictyoptera: Blattaria: Corydioidea). In INSECTS, 2022, vol. 13, no. 8. ttps://doi.org/10.3390/insects13080732; WOS

3. [1.1] ROSS, A.J. Supplement to the Burmese (Myanmar) amber checklist and bibliography, 2021. In PALAEOENTOMOLOGY, 2022, vol. 5, no. 1, p. 27-45. ISSN 2624-2826. https://doi.org/10.11646/palaeoentomology.5.1.4; WOS

4. [1.1] SZABO, M. – SZABO, P. – KOBOR, P. – OSI, A. Alienopterix santonicus sp. n., a metallic cockroach from the Late Cretaceous ajkaite amber (Bakony Mts, western Hungary) documents Alienopteridae within the Mesozoic Laurasia. In BIOLOGIA, 2022. ISSN 0006-3088. https://doi.org/10.1007/s11756-022-01265-7; WOS

5. [1.1] XU, C. – LUO, C. – JARZEMBOWSKI, E.A. – FANG, Y. – WANG, B. Aposematic coloration from Mid-Cretaceous Kachin amber. In PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2022, vol. 377, no. 1847. ISSN 0962-8436. https://doi.org/10.1098/rstb.2021.0039; WOS

 

• WITKOVSKÝ, Viktor – FROLLO, Ivan. Measurement science is the science of sciences – there is no science without measurement. In Measurement Science Review, 2020, vol. 20, no. 1, p. 1-5. (2019: 0.900 – IF, Q4 – JCR, 0.326 – SJR, Q3 – SJR). (2020 – Current Contents). ISSN 1335-8871. https://doi.org/10.2478/msr-2020-0001

WOS citations: 2

1. [1.1] VERMA, A.K. – RADHIKA, S. Multi-Level Stator Winding Failure Analysis on the Insulation Material for Industrial Induction Motor. In EXPERIMENTAL TECHNIQUES. ISSN 0732-8818, 2022, vol. 46, no. 3, p. 441-455. https://doi.org/10.1007/s40799-021-00490-0; WOS

2. [2.1] MEI, Z. – KUTS, Y. – KOCHAN, O. – LYSENKO, I. – LEVCHENKO, O. – VLAKH-VYHRYNOVSKA, H. Using Signal Phase in Computerized Systems of Non-destructive Testing. In MEASUREMENT SCIENCE REVIEW. ISSN 1335-8871, 2022, vol. 22, no. 1, p. 32-43. https://doi.org/10.2478/msr-2022-0004; WOS

 

Scientific papers in foreign impacted journals registered in Web of Sciences or Scopus

 

• AMANN, A. – SCHWARZ, K. – WIMMER, G. – WITKOVSKÝ, Viktor. Model based determination of detection limits for proton transfer reaction mass spectrometer. In Measurement Science Review, 2010, vol. 10, no. 6, p. 180-188. (2009: 0.115 – SJR, Q4 – SJR). (2010 – WOS, SCOPUS). ISSN 1335-8871. https://doi.org/10.2478/v10048-010-0031-5

SCOPUS citations: 1

1. [1.2] REN, M. – CHEN, J. – LI, M. Design and development of High voltage power and vacuum system for proton transfer reaction mass spectrometry. In 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION PROCESSING (IIP), 2022. https://doi.org/10.1109/IIP57348.2022.00035; SCOPUS

 

• CLUITMANS, M. – BROOKS, D.H. – MACLEOD, R. – DOSSEL, O. – GUILLEM, M.S. – VAN DAM, P.M. – ŠVEHLÍKOVÁ, Jana – HE, B. – SAPP, J. – WANG, L. – BEAR, L. Validation and opportunities of electrocardiographic imaging: From technical achievements to clinical applications. In Frontiers in Physiology, 2018, vol. 9, art. no. 1305. (2017: 3.394 – IF, Q1 – JCR, 1.590 – SJR, Q1 – SJR). (2018 – WOS, SCOPUS). ISSN 1664-042X. https://doi.org/10.3389/fphys.2018.01305

WOS citations: 11; SCOPUS citations: 1; other citations: 2

1. [1.1] CHAUMONT, C. – SUFFEE, N. – GANDJBAKHCH, E. – BALSE, E. – ANSELME, F. – HATEM, S.N. Epicardial origin of cardiac arrhythmias: clinical evidences and pathophysiology. In CARDIOVASCULAR RESEARCH. ISSN 0008-6363, JUN 22 2022, vol. 118, no. 7, p. 1693-1702. https://doi.org/10.1093/cvr/cvab213; WOS

2. [1.1] FEHRENBACH, J. – WEYNANS, L. SOURCE AND METRIC ESTIMATION IN THE EIKONAL EQUATION USING OPTIMIZATION ON A MANIFOLD. In INVERSE PROBLEMS AND IMAGING. ISSN 1930-8337, 2022. https://doi.org/10.3934/ipi.2022050; WOS

3. [1.1] GILLETTE, K. – GSELL, M.A.F. – STROCCHI, M. – GRANDITS, T. – NEIC, A. – MANNINGER, M. – SCHERR, D. – RONEY, C.H. – PRASSL, A.J. – AUGUSTIN, C.M. – VIGMOND, E.J. – PLANK, G. A personalized real-time virtual model of whole heart electrophysiology. In FRONTIERS IN PHYSIOLOGY. SEP 23 2022, vol. 13. https://doi.org/10.3389/fphys.2022.907190; WOS

4. [1.1] HAMEED, N.M. – AL-TUWAIJARI, J.M. A survey on various machine learning approaches for human electrocardiograms identification. In INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS. ISSN 2008-6822, 2022, vol. 13, no. 1, p. 4017-4035. https://doi.org/10.22075/ijnaa.2022.6223; WOS

5. [1.1] MARASHLY, Q. – NAJJAR, S.N. – HAHN, J. – RECTOR, G.J. – KHAWAJA, M. – CHELU, M.G. Innovations in ventricular tachycardia ablation. In JOURNAL OF INTERVENTIONAL CARDIAC ELECTROPHYSIOLOGY. 2022, ISSN 1383-875X. https://doi.org/10.1007/s10840-022-01311-z; WOS

6. [1.1] MONACO, C. – GALLI, A. – PANNONE, L. – BISIGNANI, A. – MIRAGLIA, V. – GAUTHEY, A. – AL HOUSARI, M. – MOJICA, J. – DEL MONTE, A. – LIPARTITI, F. – RIZZI, S. – MOURAM, S. – CALBUREAN, P.A. – RAMARK, R. – PAPPAERT, G. – ELTSOV, I. – BALA, G. – SORGENTE, A. – OVEREINDER, I. – ALMORAD, A. – STROKER, E. – SIEIRA, J. – BRUGADA, P. – CHIERCHIA, G.B. – LA MEIR, M. – DE ASMUNDIS, C. Hybrid-Approach Ablation in Drug-Refractory Arrhythmogenic Right Ventricular Cardiomyopathy. In AMERICAN JOURNAL OF CARDIOLOGY. ISSN 0002-9149, OCT 15 2022, vol. 181, p. 45-54. https://doi.org/10.1016/j.amjcard.2022.07.011; WOS

7. [1.1] NJERU, D.K. – ATHAWALE, T.M. – FRANCE, J.J. – JOHNSON, C.R. Quantifying and Visualizing Uncertainty for Source Localisation in Electrocardiographic Imaging. In COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION. 2022, ISSN 2168-1163. https://doi.org/10.1080/21681163.2022.2113824; WOS

8. [1.1] TALEVI, G. – PANNONE, L. – MONACO, C. – BORI, E. – CAPPELLO, I.A. – CANDELARI, M. – RAMAK, R. – LA MEIR, M. – GHARAVIRI, A. – CHIERCHIA, G.B. – INNOCENTI, B. – DE ASMUNDIS, C. Development of a 3D printed surgical guide for Brugada syndrome substrate ablation. In FRONTIERS IN CARDIOVASCULAR MEDICINE. ISSN 2297-055X, NOV 15 2022, vol. 9. https://doi.org/10.3389/fcvm.2022.1029685; WOS

9. [1.1] TENDERINI, R. – PAGANI, S. – QUARTERONI, A. – DEPARIS, S. PDE-aware deep learning for inverse problems in cardiac electrophysiology. In SIAM JOURNAL ON SCIENTIFIC COMPUTING. ISSN 1064-8275, 2022, vol. 44, no. 3, p. B605-B639. https://doi.org/10.1137/21M1438529; WOS

10. [1.1] VERHEUL, L.M. – GROENEVELD, S.A. – KIRKELS, F.P. – VOLDERS, P.G.A. – TESKE, A.J. – CRAMER, M.J. – GUGLIELMO, M. – HASSINK, R.J. State-of-the-Art Multimodality Imaging in Sudden Cardiac Arrest with Focus on Idiopathic Ventricular Fibrillation: A Review. In JOURNAL OF CLINICAL MEDICINE. AUG 2022, vol. 11, no. 16. https://doi.org/10.3390/jcm11164680; WOS

11. [1.1] YADAN, Z. – XIN, L. – JIAN, W. Solving the inverse problem in electrocardiography imaging for atrial fibrillation using various time-frequency decomposition techniques based on empirical mode decomposition: A comparative study. In FRONTIERS IN PHYSIOLOGY. NOV 2 2022, vol. 13. https://doi.org/10.3389/fphys.2022.999900; WOS

12. [1.2] SALMAN, A.A. – IBARAHIM, A. Detection of Cardiac Arrhythmias in Electroc Ardiograms Using Deep Learning. In ISMSIT 2022 6TH INTERNATIONAL SYMPOSIUM ON MULTIDISCIPLINARY STUDIES AND INNOVATIVE TECHNOLOGIES, 2022, p. 466-471. https://doi.org/10.1109/ISMSIT56059.2022.9932742; SCOPUS

13. [3.1] ORINI, M. – WADDINGHAM, P.H. – DENNIS, A. – MANGUAL, J.O. –  LAMBIASE, P.D. – CHOW, A.W.C. Assessment of inter-operator Reproducibility of CardioInsight ECG-Imaging. In COMPUTING IN CARDIOLOGY 2022 (CinC 2022), 2022. https://doi.org/10.22489/cinc.2022.232

14. [3.1] PANKEWITZ, L. – ABDALA, L. – BUSSOOA, A. – AREVALO, H. A Pipeline for Automated Coordinate Assignment in Anatomically Accurate Biventricular Models. In COMPUTATIONAL PHYSIOLOGY: SIMULA SUMMER SCHOOL 2021. Springer, 2022, vol. 12, p. 1-11. https://doi.org/10.1007/978-3-031-05164-7_1

 

• HANIC, František – CIGÁŇ, Alexander – BRIANČIN, J. – VAN DRIESSCHE, I. – MAŇKA, Ján – BUCHTA, Štefan – BRUNEEL, E. – ZRUBEC, Vladimír. Substitution of Ti4+ for Cun+ in YBa2Cu3-xTxO7-δ. In Solid State Phenomena, 2003, vol. 90-91, p. 297-302. (2003 – WOS, SCOPUS). ISSN 1012-0394. https://doi.org/10.4028/www.scientific.net/SSP.90-91.297

WOS citations: 1

1. [1.1] BOONSONG, P. – WATCHARAPASORN, A. High-temperature thermoelectric properties of (1-x)DyBCO – xBNT ceramics. In JOURNAL OF ASIAN CERAMIC SOCIETIES. ISSN 2187-0764, OCT 2 2022, vol. 10, no. 4, p. 766-778. https://doi.org/10.1080/21870764.2022.2127505; WOS

 

• JANUSEK, D. – ŠVEHLÍKOVÁ, Jana – ZELINKA, Ján – WEIGL, W. – ZACZEK, R. – OPOLSKI, G. – TYŠLER, Milan – MANIEWSKI, R. The roles of mid-myocardial and epicardial cells in T-wave alternans development: A simulation study. In BioMedical Engineering OnLine, 2018, vol. 17, no. 1, p. 57. (2017: 1.676 – IF, Q3 – JCR, 0.542 – SJR, Q2 – SJR). (2018 – WOS, SCOPUS). ISSN 1475-925X. https://doi.org/10.1186/s12938-018-0492-6

WOS citations: 1; SCOPUS citations: 1

1. [1.1] QAULI, A.I. – YOO, Y. – MARCELLINUS, A. – LIM, K.M. Verification of the Efficacy of Mexiletine Treatment for the A1656D Mutation on Downgrading Reentrant Tachycardia Using a 3D Cardiac Electrophysiological Model. In BIOENGINEERING-BASEL. OCT 2022, vol. 9, no. 10. https://doi.org/10.3390/bioengineering9100531; WOS

2. [1.2] BUKHARI, H.A. – SANCHEZ, C. – LAGUNA, P. – POTSE, M. – PUEYO, E. Inter-individual Differences in Cell Composition across the Ventricular Wall May Explain Variability in ECG Response to Serum Potassium and Calcium Variations. In COMPUTING IN CARDIOLOGY, 2022. ISSN 2325-8861. https://doi.org/10.22489/CinC.2022.166; SCOPUS

 

• JURÁŠ, Vladimír – SZOMOLÁNYI, Pavol – SCHREINER, M. – UNTERBERGER, K. – KUREKOVA, A. – HAGER, B. – LAURENT, D. – RAITHEL, E. – MEYER, H. – TRATTNIG, S. Reproducibility of an automated quantitative MRI assessment of low-grade knee articular cartilage lesions. In Cartilage, 2021, vol. 13, suppl. 1, p. 646S-657S. (2020: 4.634 – IF, Q1 – JCR, 0.705 – SJR, Q2 – SJR). (2021 – WOS, SCOPUS). ISSN 1947-6035. https://doi.org/10.1177/1947603520961165

WOS citations: 2

1. [1.1] CHEN, E. – HOU, W. – WANG, H. – LI, J. – LIN, Y. – LIU, H. – DU, M. – LI, L. – WANG, X. – YANG, J. – YANG, R. – ZHOU, C. – CHEN, P. – ZENG, M. – YAO, Q. – CHEN, W. Quantitative MRI evaluation of articular cartilage in patients with meniscus tear. In FRONTIERS IN ENDOCRINOLOGY, 2022, vol. 13. ISSN 1664-2392. https://doi.org/10.3389/fendo.2022.911893; WOS

2. [1.1] OEI, E.H.G. – HIRVASNIEMI, J. – VAN ZADELHOFF, T.A. – VAN DER HEIJDEN, R.A. Osteoarthritis year in review 2021: imaging. In OSTEOARTHRITIS AND CARTILAGE, 2022, vol. 30, no. 2, p. 226-236. ISSN 1063-4584. https://doi.org/10.1016/j.joca.2021.11.012; WOS

 

• KLUKNAVSKÝ, M. – BALIŠ, P. – ŠKRÁTEK, Martin – MAŇKA, Ján – BERNÁTOVÁ, I. (-)-Epicatechin reduces the blood pressure of young borderline hypertensive rats during the post-treatment period. In Antioxidants, 2020, vol. 9, no. 2, article no. 96. (2019: 5.014 – IF, Q1 – JCR, 1.100 – SJR, Q1 – SJR). (2020 – WOS, SCOPUS). ISSN 2076-3921. https://doi.org/10.3390/antiox9020096

WOS citations: 4

1. [1.1] AKOMOLAFE, S.F. – OLASEHINDE, T.A. – OLADAPO, I.F. – OYELEYE, S. Diet Supplemented with Chrysophyllum albidum G. Don (Sapotaceae) Fruit Pulp Improves Reproductive Function in Hypertensive Male Rats. In REPRODUCTIVE SCIENCES. ISSN 1933-7191, 2022, vol. 29, no. 2, p. 540-556. https://doi.org/10.1007/s43032-021-00746-5; WOS

2. [1.1] DEL SEPPIA, C. – FEDERIGHI, G. – LAPI, D. – GEROSOLIMO, F. – SCURI, R. Effects of a catechins-enriched diet associated with moderate physical exercise in the prevention of hypertension in spontaneously hypertensive rats. In SCIENTIFIC REPORTS, 2022, vol. 12, no. 1. ISSN 2045-2322. https://doi.org/10.1038/s41598-022-21458-z; WOS

3. [1.1] HID, E.J. – MOSELE, J. – PRINCE, P.D. – FRAGA, C.G. – GALLEANO, M. (-)-Epicatechin and cardiometabolic risk factors: a focus on potential mechanisms of action. In PFLUGERS ARCHIV-EUROPEAN JOURNAL OF PHYSIOLOGY. ISSN 0031-6768, 2022, vol. 474, no. 1, p. 99-115. https://doi.org/10.1007/s00424-021-02640-0; WOS

4. [1.1] LUO, Y. – LU, J. – WANG, Z. – WANG, L. – WU, G. – GUO, Y. – DONG, Z. Small ubiquitin-related modifier (SUMO)ylation of SIRT1 mediates (-)-epicatechin inhibited- differentiation of cardiac fibroblasts into myofibroblasts. In PHARMACEUTICAL BIOLOGY, 2022, vol. 60, no. 1, p. 1762-1770. ISSN 1388-0209. https://doi.org/10.1080/13880209.2022.2101672; WOS

 

• KOLLER, U. – SPRINGER, B. – RENTENBERGER, C. – SZOMOLÁNYI, Pavol – WALDSTEIN, W. – WINDHAGER, R. – TRATTNIG, S. – APPRICH, S. Radiofrequency chondroplasty may not have a long-lasting effect in the treatment of concomitant grade II patellar cartilage defects in humans. In Journal of Clinical Medicine, 2020, vol. 9, no. 4, art. no. 1202. (2019: 3.303 – IF, Q1 – JCR, karentované – CCC). (2020 – WOS, SCOPUS). ISSN 2077-0383. https://doi.org/10.3390/jcm9041202

WOS citations: 2

1. [1.1] LIN, C. – DENG, Z. – XIONG, J. – LU, W. – CHEN, K. – ZHENG, Y. – ZHU, W. The Arthroscopic Application of Radiofrequency in Treatment of Articular Cartilage Lesions. In FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2022, vol. 9. ISSN 2296-4185. https://doi.org/10.3389/fbioe.2021.822286; WOS

2. [1.1] YAZDANSHENAS, H. – MADADI, F. – SADEGHI-NAINI, M. – MADADI, F. – BUGARIN, A. – SABAGH, M.S. – HING, C. – SHAMIE, A.N. – HORNICEK, F.J. – WASHINGTON, E.R. Introducing a Novel Combined Acetabuloplasty and Chondroplasty Technique for the Treatment of Developmental Dysplasia of the Hip. In CUREUS, 2022, vol. 14, no. 1, e21787. https://doi.org/10.7759/cureus.21787; WOS

 

• KRUMPOLEC, P. – KLEPOCHOVÁ, R. – JUST KUKUROVA, I. – JELENC, M.T. – FROLLO, Ivan – UKROPEC, J. – UKROPCOVÁ, B. – TRATTNIG, S. – KRŠŠÁK, M. – VALKOVIČ, Ladislav. Multinuclear MRS at 7T uncovers exercise driven differences in skeletal muscle energy metabolism between young and seniors. In Frontiers in Physiology, 2020, vol. 11, art.no. 644. (2019: 3.367 – IF, Q1 – JCR, 1.211 – SJR, Q2 – SJR). (2020 – WOS, SCOPUS). ISSN 1664-042X. https://doi.org/10.3389/fphys.2020.00644

WOS citations: 1

1. [1.1] YAN, K.Q. – MEI, Z.L. – ZHAO, J.J. – PRODHAN, M.A.I. – OBAL, D. – KATRAGADDA, K. – DOELLING, B. – HOETKER, D. – POSA, D.K. – HE, L.Q. – YIN, X.M. – SHAH, J. – PAN, J.N. – RAI, S. – LORKIEWICZ, P.K. – ZHANG, X. – LIU, S.Q. – BHATNAGAR, A. – BABA, S.P. Integrated Multilayer Omics Reveals the Genomic, Proteomic, and Metabolic Influences of Histidyl Dipeptides on the Heart. In JOURNAL OF THE AMERICAN HEART ASSOCIATION. JUL 5 2022, vol. 11, no. 13. https://doi.org/10.1161/JAHA.121.023868; WOS

 

• LEWANDOWSKI, A. – ROSIPAL, Roman – DORFFNER, G. On the individuality of sleep EEG spectra. In Journal of Psychophysiology, 2013, vol. 27, no. 3, p. 105-112. (2012: 1.000 – IF, Q4 – JCR, 0.604 – SJR). (2013 – WOS, SCOPUS). ISSN 0269-8803. https://doi.org/10.1027/0269-8803/a000092

WOS citations: 2

1. [1.1] EGGERT, T. – DORN, H. – DANKER-HOPFE, H. The Fingerprint-Like Pattern of Nocturnal Brain Activity Demonstrated in Young Individuals is Also Present in Senior Adulthood. In NATURE AND SCIENCE OF SLEEP. ISSN 1179-1608, 2022, vol. 14, p. 109-120. https://doi.org/10.2147/NSS.S336379; WOS

2. [1.1] MAYELI, A. – JANSSEN, S.A. – SHARMA, K. – FERRARELLI, F. Examining First Night Effect on Sleep Parameters with hd-EEG in Healthy Individuals. In BRAIN SCIENCES. FEB 2022, vol. 12, no. 2. https://doi.org/10.3390/brainsci12020233; WOS

 

• LIPTÁK, P. – BANOVCIN, P. – ROSOĽANKA, R. – PROKOPIČ, M. – KOCAN, I. – ŽIAČIKOVÁ, I. – UHRIK, P. – GRENDÁR, Marián – HYRDEL, R. A machine learning approach for identification of gastrointestinal predictors for the risk of COVID-19 related hospitalization. In PeerJ, 2022, art. no. e13124. (2021: 3.061 – IF, Q2 – JCR, 0.766 – SJR, Q1 – SJR). (2022 – WOS, SCOPUS). ISSN 2167-8359. https://doi.org/10.7717/peerj.13124

WOS citations: 2

1. [1.1] LEE, K.S. – KIM, E.S. Explainable Artificial Intelligence in the Early Diagnosis of Gastrointestinal Disease. In DIAGNOSTICS. NOV 2022, vol. 12, no. 11. https://doi.org/10.3390/diagnostics12112740; WOS

2. [1.1] MARTINEZ, J.A. – ALONSO-BERNALDEZ, M. – MARTINEZ-URBISTONDO, D. – VARGAS-NUNEZ, J.A. – DE MOLINA, A.R. – DAVALOS, A. – RAMOS-LOPEZ, O. Machine learning insights concerning inflammatory and liver-related risk comorbidities in non-communicable and viral diseases. In WORLD JOURNAL OF GASTROENTEROLOGY. ISSN 1007-9327, NOV 28 2022, vol. 28, no. 44, p. 6230-6248. https://doi.org/10.3748/wjg.v28.i44.6230; WOS

 

• MAJEROVÁ, Melinda – KLEMENT, R. – PRNOVÁ, A. – KRAXNER, J. – BRUNEEL, E. – GALUSEK, D. Crystallization and visible–near-infrared luminescence of Bi-doped gehlenite glass. In Royal Society Open Science, 2018, vol. 5, no. 12, p. 181667. (2017: 2.504 – IF, Q2 – JCR, 1.237 – SJR, Q1 – SJR). (2018 – WOS, SCOPUS). ISSN 2054-5703. https://doi.org/10.1098/rsos.181667

WOS citations: 1

1. [1.1] PLEKHOVICH, A.D. – KUTIN, A.M. – ROSTOKINA, E.E. – KOMSHINA, M.E. – BALUEVA, K.V. – IGNATOVA, K.F. – SHIRYAEV, V.S. Controlled crystallization of BaO-B2O3-Bi2O3 Glass in the temperature range of a supercooled melt in the presence of additional nucleation centers. In JOURNAL OF NON-CRYSTALLINE SOLIDS. ISSN 0022-3093, JUL 15 2022, vol. 588. https://doi.org/10.1016/j.jnoncrysol.2022.121629; WOS

 

• MICHAIL, G. – DRESEL, C. – WITKOVSKÝ, Viktor – STANKEWITZ, A. – SCHULZ, E. Neuronal oscillations in various frequency bands differ between pain and touch. In Frontiers in Human Neuroscience, 2016, vol. 10, art. no. 182. (2015: 3.634 – IF, Q1 – JCR, 1.964 – SJR, Q1 – SJR). (2016 – WOS, SCOPUS). ISSN 1662-5161. https://doi.org/10.3389/fnhum.2016.00182

WOS citations: 4; SCOPUS citations: 2

1. [1.1] CARPENTER, L.L. – KRONENBERG, E.F. – TIRRELL, E. – KOKDERE, F. – BECK, Q.M. – TEMEREANCA, S. – FUKUDA, A.M. – GARIKAPATI, S. – HAGBERG, S. Mechanical Affective Touch Therapy for Anxiety Disorders: Feasibility, Clinical Outcomes, and Electroencephalography Biomarkers From an Open-Label Trial. In FRONTIERS IN PSYCHIATRY. ISSN 1664-0640, APR 22 2022, vol. 13. https://doi.org/10.3389/fpsyt.2022.877574; WOS

2. [1.1] GASSMANN, L. – GORDON, P.C. – ZIEMANN, U. Assessing effective connectivity of the cerebellum with cerebral cortex using TMS-EEG. In BRAIN STIMULATION. ISSN 1935-861X, NOV-DEC 2022, vol. 15, no. 6, p. 1354-1369. https://doi.org/10.1016/j.brs.2022.09.013; WOS

3. [1.1] GONG, W.X. – GU, L.J. – WANG, W. – CHEN, L.H. Interoception visualization relieves acute pain. In BIOLOGICAL PSYCHOLOGY. ISSN 0301-0511, MAR 2022, vol. 169. https://doi.org/10.1016/j.biopsycho.2022.108276; WOS

4. [1.1] TALEEI, T. – NAZEM-ZADEH, M.R. – AMIRI, M. – KELIRIS, G.A. EEG-based functional connectivity for tactile roughness discrimination. In COGNITIVE NEURODYNAMICS. ISSN 1871-4080, 2022. https://doi.org/10.1007/s11571-022-09876-1; WOS

5. [1.2] CANNESTRO, G.A. – ABD, M.A. – ENGEBERG, E.D. – TOGNOLI, E. Human Neuromarkers of Tactile Perception: State of the Art in Methods and Findings. In BIOSYSTEMS AND BIOROBOTICS. ISSN 2195-3562, 2022, vol. 28, p. 635-639. https://doi.org/10.1007/978-3-030-70316-5_102; SCOPUS

6. [1.2] HERMAN, D. – NIKOLAI, S. – LEV, Y. – MIKHAIL, N. – SHUSHARINA, N. The EEG Study of Tattoo Induced Pain. In 6TH SCIENTIFIC SCHOOL “DYNAMICS OF COMPLEX NETWORKS AND THEIR APPLICATIONS”, 2022, p. 75-78. https://doi.org/10.1109/DCNA56428.2022.9923279; SCOPUS

 

• PEZZUTO, S. – KAĽAVSKÝ, Peter – POTSE, M. – PRINZEN, F.W. – AURICCHIO, A. – KRAUSE, R. Evaluation of a Rapid Anisotropic Model for ECG Simulation. In Frontiers in Physiology, 2017, vol. 8, p. 265. (2016: 4.134 – IF, Q1 – JCR, 1.814 – SJR, Q1 – SJR). (2017 – WOS, SCOPUS). ISSN 1664-042X. https://doi.org/10.3389/fphys.2017.00265

WOS citations: 1

1. [1.1] KUNISCH, K. – TRAUTMANN, P. An Inverse Problem Involving a Viscous Eikonal Equation with Applications in Electrophysiology. In VIETNAM JOURNAL OF MATHEMATICS, 2022, vol. 50, no. 1, p. 301-317. ISSN 2305-221X. https://doi.org/10.1007/s10013-021-00509-4; WOS

 

• POPOVIĆ, B.V. – MIJANOVIĆ, A. – WITKOVSKÝ, Viktor. Computing the exact distribution of a linear combination of generalized logistic random variables and its applications. In Journal of Statistical Computation and Simulation, 2022, vol. 92, no. 5, p. 1015-1033. (2021: 1.225 – IF, Q3 – JCR, 0.588 – SJR, Q2 – SJR). (2022 – WOS, SCOPUS). ISSN 0094-9655. https://doi.org/10.1080/00949655.2021.1982942

WOS citations: 1

1. [1.1] COELHO, C.A. Likelihood Ratio Tests for Elaborate Covariance Structures and for MANOVA Models with Elaborate Covariance Structures-A Review. In JOURNAL OF THE INDIAN INSTITUTE OF SCIENCE. ISSN 0970-4140, 2022; WOS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, Anna – FROLLO, Ivan. Analysis of the influence of different settings of scan sequence parameters on vibration and noise generated in the open-air MRI scanning area. In Sensors, 2019, vol. 19, no. 19, p. 4198. (2018: 3.031 – IF, Q1 – JCR, 0.592 – SJR, Q2 – SJR). (2019 – WOS, SCOPUS). ISSN 1424-8220. https://doi.org/10.3390/s19194198

WOS citations: 1

1. [1.1] TAKAHASHI, T. – SASABAYASHI, D. – YUCEL, M. – WHITTLE, S. – LORENZETTI, V. – WALTERFANG, M. – SUZUKI, M. – PANTELIS, C. – MALHI, G.S. – ALLEN, N.B. Different Frequency of Heschl’;s Gyrus Duplication Patterns in Neuropsychiatric Disorders: An MRI Study in Bipolar and Major Depressive Disorders. In FRONTIERS IN HUMAN NEUROSCIENCE. ISSN 1662-5161, JUN 13 2022, vol. 16. https://doi.org/10.3389/fnhum.2022.917270; WOS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. – MATOUŠEK, J. Comparison of formant features of male and female emotional speech in Czech and Slovak. In Elektronika ir Elektrotechnika / Electronics and Electrical Engineering, 2013, vol. 19, no. 8, p. 83-88. (2012: 0.411 – IF, Q4 – JCR, 0.226 – SJR). (2013 – WOS, SCOPUS). ISSN 1392-1215. https://doi.org/10.5755/j01.eee.19.8.1739

SCOPUS citations: 2

1. [1.2] MALUCHA, J. Software Tool for Pronunciation Training of Specific English Terminology. In INTERNATIONAL CONFERENCE ON NEW TRENDS IN SIGNAL PROCESSING, 2022. https://doi.org/10.23919/NTSP54843.2022.9920469; SCOPUS

2. [1.2] TEIXEIRA, F.L. – TEIXEIRA, J.P. – SOARES, S.F.P. – ABREU, J.L.P. F0, LPC, and MFCC Analysis for Emotion Recognition Based on Speech. In COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE, 2022, vol. 1754 CCIS, p. 389-404. ISSN 1865-0929. https://doi.org/10.1007/978-3-031-23236-7_27; SCOPUS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. – FROLLO, Ivan. Vibration and noise in magnetic resonance imaging of the vocal tract: Differences between whole-body and open-air devices. In Sensors, 2018, vol. 18, no. 4, p. 1112. (2017: 2.475 – IF, Q2 – JCR, 0.584 – SJR, Q2 – SJR). (2018 – WOS, SCOPUS). ISSN 1424-8220. https://doi.org/10.3390/s18041112

WOS citations: 1

1. [1.1] BREIT, H.C. – VOSSHENRICH, J. – BACH, M. – MERKLE, E.M. New clinical applications for low-field magnetic resonance imaging Technical and physical aspects. In RADIOLOGE. ISSN 0033-832X, MAY 2022, vol. 62, no. 5, SI, p. 394-399. https://doi.org/10.1007/s00117-022-00967-y; WOS

 

• PURVIS, L.A.B. – CLARKE, W.T. – BIASIOLLI, L. – VALKOVIČ, Ladislav – ROBSON, M.D. – RODGERS, C.T. OXSA: An open-source magnetic resonance spectroscopy analysis toolbox in MATLAB. In PLoS ONE, 2017, vol. 12, no. 9, art. no. e0185356. (2016: 2.806 – IF, Q1 – JCR, 1.236 – SJR, Q1 – SJR). (2017 – WOS, SCOPUS). ISSN 1932-6203. https://doi.org/10.1371/journal.pone.0185356

WOS citations: 11

1. [1.1] BRAKEDAL, B. – DOLLE, C. – RIEMER, F. – MA, Y.L. – NIDO, G.S. – SKEIE, G.O. – CRAVEN, A.R. – SCHWARZLMULLER, T. – BREKKE, N. – DIAB, J. – SVERKELI, L. – SKJEIE, V. – VARHAUG, K. – TYSNES, O.B. – PENG, S.C. – HAUGARVOLL, K. – ZIEGLER, M. – GRUNER, R. – EIDELBERG, D. – TZOULIS, C. The NADPARK study: A randomized phase I trial of nicotinamide riboside supplementation in Parkinson’s disease. In CELL METABOLISM. ISSN 1550-4131, MAR 1 2022, vol. 34, no. 3, p. 396-+. https://doi.org/10.1016/j.cmet.2022.02.001; WOS

2. [1.1] CENGIZ, S. – YILDIRIM, M. – BAS, A. – OZTURK-ISIK, E. ORYX-MRSI: A fully-automated open-source software for proton magnetic resonance spectroscopic imaging data analysis. In INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY. ISSN 0899-9457, JUL 2022, vol. 32, no. 4, p. 1068-1083. https://doi.org/10.1002/ima.22748; WOS

3. [1.1] CRAVEN, A.R. – BHATTACHARYYA, P.K. – CLARKE, W.T. – DYDAK, U. – EDDEN, R.A.E. – ERSLAND, L. – MANDAL, P.K. – MIKKELSEN, M. – MURDOCH, J.B. – NEAR, J. – RIDEAUX, R. – SHUKLA, D. – WANG, M. – WILSON, M. – ZOLLNER, H.J. – HUGDAHL, K. – OELTZSCHNER, G. Comparison of seven modelling algorithms for gamma-aminobutyric acid-edited proton magnetic resonance spectroscopy. In NMR IN BIOMEDICINE. ISSN 0952-3480, JUL 2022, vol. 35, no. 7. https://doi.org/10.1002/nbm.4702; WOS

4. [1.1] HANSEN, K. – HANSEN, E.S.S. – JESPERSEN, N.R.V. – BOTKER, H.E. – PEDERSEN, M. – WANG, T.B. – LAUSTSEN, C. Hyperpolarized C-13 MRI Reveals Large Changes in Pyruvate Metabolism During Digestion in Snakes. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, AUG 2022, vol. 88, no. 2, p. 890-900. https://doi.org/10.1002/mrm.29239; WOS

5. [1.1] HESSE, F. – WRIGHT, A.J. – BULAT, F. – SOMAI, V. – KREIS, F. – BRINDLE, K.M. Deuterium MRSI of tumor cell death in vivo following oral delivery of H-2-labeled fumarate. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, NOV 2022, vol. 88, no. 5, p. 2014-2020. https://doi.org/10.1002/mrm.29379; WOS

6. [1.1] HESSE, F. – WRIGHT, A.J. – SOMAI, V. – BULAT, F. – KREIS, F. – BRINDLE, K.M. Imaging Glioblastoma Response to Radiotherapy Using H-2 Magnetic Resonance Spectroscopy Measurements of Fumarate Metabolism. In CANCER RESEARCH. ISSN 0008-5472, OCT 1 2022, vol. 82, no. 19, p. 3622-3633. https://doi.org/10.1158/0008-5472.CAN-22-0101; WOS

7. [1.1] JEX, N. – CHOWDHARY, A. – THIRUNAVUKARASU, S. – PROCTER, H. – SENGUPTA, A. – NATARAJAN, P. – KOTHA, S. – POENAR, A.M. – SWOBODA, P. – XUE, H. – CUBBON, R.M. – KELLMAN, P. – GREENWOOD, J.P. – PLEIN, S. – PAGE, S. – LEVELT, E. Coexistent Diabetes Is Associated With the Presence of Adverse Phenotypic Features in Patients With Hypertrophic Cardiomyopathy. In DIABETES CARE. ISSN 0149-5992, AUG 2022, vol. 45, no. 8, p. 1852-1862. https://doi.org/10.2337/dc22-0083; WOS

8. [1.1] KAGGIE, J. – KHAN, A.S. – MATYS, T. – SCHULTE, R.F. – LOCKE, M.J. – GRIMMER, A. – FRARY, A. – MENIH, I.H. – LATIMER, E. – GRAVES, M.J. – MCLEAN, M.A. – GALLAGHER, F.A. Deuterium metabolic imaging and hyperpolarized C-13-MRI of the normal human brain at clinical field strength reveals differential cerebral metabolism. In NEUROIMAGE. ISSN 1053-8119, AUG 15 2022, vol. 257. https://doi.org/10.1016/j.neuroimage.2022.119284; WOS

9. [1.1] PRASUHN, J. – GOTTLICH, M. – EBELING, B. – KOUROU, S. – GERKAN, F. – BODEMANN, C. – GROSSER, S.S. – REUTHER, K. – HANSSEN, H. – BRUGGEMANN, N. Assessment of Bioenergetic Deficits in Patients With Parkinson Disease and Progressive Supranuclear Palsy Using P-31-MRSI. In NEUROLOGY. ISSN 0028-3878, DEC 13 2022, vol. 99, no. 24, p. E2683-E2692. https://doi.org/10.1212/WNL.0000000000201288; WOS

10. [1.1] PRASUHN, J. – GOTTLICH, M. – GERKAN, F. – KOUROU, S. – EBELING, B. – KASTEN, M. – HANSSEN, H. – KLEIN, C. – BRUGGEMANN, N. Relationship between brain iron deposition and mitochondrial dysfunction in idiopathic Parkinson’s disease. In MOLECULAR MEDICINE. ISSN 1076-1551, DEC 2022, vol. 28, no. 1. https://doi.org/10.1186/s10020-021-00426-9; WOS

11. [1.1] VAN DEN WILDENBERG, L. – GURSAN, A. – SEELEN, L.W.F. – VAN DER VELDEN, T.A. – GOSSELINK, M.W.J.M. – FROELING, M. – VAN DER KEMP, W.J.M. – KLOMP, D.W.J. – PROMPERS, J.J. In vivo phosphorus magnetic resonance spectroscopic imaging of the whole human liver at 7 T using a phosphorus whole-body transmit coil and 16-channel receive array: Repeatability and effects of principal component analysis-based denoising. In NMR IN BIOMEDICINE, 2022. ISSN 0952-3480. https://doi.org/10.1002/nbm.4877; WOS

 

• SCHULZ, E. – STANKEWITZ, A. – WINKLER, A.M. – IRVING, S. – WITKOVSKÝ, Viktor – TRACEY, I. Ultra-high-field imaging reveals increased whole brain connectivity underpins cognitive strategies that attenuate pain. In eLife, 2020, vol. 9, p. e55028. (2019: 7.080 – IF, Q1 – JCR, 6.079 – SJR, Q1 – SJR). (2020 – WOS, SCOPUS). ISSN 2050-084X. https://doi.org/10.7554/eLife.55028

WOS citations: 3

1. [1.1] ATILGAN, H. – DOODY, M. – OLIVER, D.K. – MCGRATH, T.M. – SHELTON, A.M. – ECHEVERRIA-ALTUNA, I. – TRACEY, I. – VYAZOVSKIY, V.V. – MANOHAR, S.G. – PACKER, A.M. Human lesions and animal studies link the claustrum to perception, salience, sleep and pain. In BRAIN. ISSN 0006-8950, JUN 3 2022, vol. 145, no. 5, p. 1610-1623. https://doi.org/10.1093/brain/awac114; WOS

2. [1.1] MEEKER, T.J. – SCHMID, A.C. – KEASER, M.L. – KHAN, S.A. – GULLAPALLI, R.P. – DORSEY, S.G. – GREENSPAN, J.D. – SEMINOWICZ, D.A. Tonic pain alters functional connectivity of the descending pain modulatory network involving amygdala, periaqueductal gray, parabrachial nucleus and anterior cingulate cortex. In NEUROIMAGE. ISSN 1053-8119, AUG 1 2022, vol. 256. https://doi.org/10.1016/j.neuroimage.2022.119278; WOS

3. [1.1] PARAN, I. – NACHMANI, H. – SALTI, M. – SHELEF, I. – MELZER, I. Balance recovery stepping responses during walking were not affected by a concurrent cognitive task among older adults. In BMC GERIATRICS. APR 6 2022, vol. 22, no. 1. https://doi.org/10.1186/s12877-022-02969-w; WOS

 

• SPRINGER, E. – CARDOSO, P.L. – STRASSER, B. – BOGNER, W. – PREUSSER, M. – WIDHALM, G. – NITTKA, M. – KOERZDOERFER, G. – SZOMOLÁNYI, Pavol – HANGEL, G. – HAINFELLNER, J.A. – MARIK, W. – TRATTNIG, S. MR fingerprinting—A radiogenomic marker for diffuse gliomas. In Cancers, 2022, vol. 14, no. 3, art. no. 723. (2021: 6.575 – IF, Q1 – JCR, 1.349 – SJR, Q1 – SJR). (2022 – WOS, SCOPUS). ISSN 2072-6694. https://doi.org/10.3390/cancers14030723

WOS citations: 1; other citations: 1

1. [1.1] SANADA, T. – YAMAMOTO, S. – SAKAI, M. – UMEHARA, T. – SATO, H. – SAITO, M. – MITSUI, N. – HIROSHIMA, S. – ANEI, R. – KANEMURA, Y. – TANINO, M. – NAKANISHI, K. – KISHIMA, H. – KINOSHITA, M. Correlation of T1-to T2-weighted signal intensity ratio with T1-and T2-relaxation time and IDH mutation status in glioma. In SCIENTIFIC REPORTS, 2022, vol. 12, no. 1. ISSN 2045-2322. https://doi.org/10.1038/s41598-022-23527-9; WOS

2. [3.1] JIN, X. – LUO, Z. – CHEN, X. Progress of multimodality magnetic resonance techniques in predicting the MGMT promoter methylation status of glioma. In JOURNAL OF MOLECULAR IMAGING, 2022, vol. 45, no. 6, p. 950-956. ISSN 1674-4500. http://www.j-fzyx.com/en/article/doi/10.12122/j.issn.1674-4500.2022.06.31.

 

• ŠEDIVÝ, P. – DEZORTOVÁ, M. – RYDLO, J. – DROBNÝ, M. – KRŠŠÁK, M. – VALKOVIČ, Ladislav – HÁJEK, M. MR compatible ergometers for dynamic 31P MRS. In Journal of Applied Biomedicine, 2019, vol. 17, no. 2, p. 91-98. (2018: 1.573 – IF, Q4 – JCR, 0.335 – SJR, Q2 – SJR). (2019 – WOS, SCOPUS). ISSN 1214-021X. https://doi.org/10.32725/jab.2019.006

WOS citations: 2

1. [1.1] NIJHOLT, K.T. – SANCHEZ-AGUILERA, P.I. – VOORRIPS, S.N. – DE BOER, R.A. – WESTENBRINK, B.D. Exercise: a molecular tool to boost muscle growth and mitochondrial performance in heart failure?. In EUROPEAN JOURNAL OF HEART FAILURE. ISSN 1388-9842, FEB 2022, vol. 24, no. 2, p. 287-298. https://doi.org/10.1002/ejhf.2407; WOS

2. [1.1] ZIOLKOWSKA, N. – VIT, M. – LAGA, R. – JIRAK, D. Iron-doped calcium phytate nanoparticles as a bio-responsive contrast agent in H-1/P-31 magnetic resonance imaging. In SCIENTIFIC REPORTS. ISSN 2045-2322, FEB 8 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-06125-7; WOS

 

• ŠTULAJTER, F. – WITKOVSKÝ, Viktor. Estimation of variances in orthogonal finite discrete spectrum linear regression models. In Metrika, 2004, vol. 60, no. 2, p. 105-118. (2003: 0.276 – IF). (2004 – WOS). ISSN 0026-1335. https://doi.org/10.1007/s001840300299

WOS citations: 1

1. [1.1] HANCOVA, M. – GAJDOS, A. – HANC, J. A practical, effective calculation of gamma difference distributions with open data science tools. In JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION. ISSN 0094-9655, 2022, vol. 92, no. 11, p. 2205-2232; WOS

 

• VALKOVIČ, Ladislav – DRAGONU, I. – ALMUJAYYAZ, S. – BATZAKIS, A. – YOUNG, L.A.J. – PURVIS, L.A.B. – CLARKE, W.T. – WICHMANN, T. – LANZ, T. – NEUBAUER, S. – ROBSON, M.D. – KLOMP, D.W.J. – RODGERS, C.T. Using a whole-body 31P birdcage transmit coil and 16-element receive array for human cardiac metabolic imaging at 7T. In PLoS ONE, 2017, vol. 12, no. 10, art. no. e0187153. (2016: 2.806 – IF, Q1 – JCR, 1.236 – SJR, Q1 – SJR). (2017 – WOS, SCOPUS). ISSN 1932-6203. https://doi.org/10.1371/journal.pone.0187153

WOS citations: 4; SCOPUS citations: 1

1. [1.1] CHOI, C.H. – HONG, S.M. – FELDER, J. – TELLMANN, L. – SCHEINS, J. – KOPS, E.R. – LERCHE, C. – SHAH, N.J. A Novel J-Shape Antenna Array for Simultaneous MR-PET or MR-SPECT Imaging. In IEEE TRANSACTIONS ON MEDICAL IMAGING. ISSN 0278-0062, MAY 2022, vol. 41, no. 5, p. 1104-1113. https://doi.org/10.1109/TMI.2021.3132576; WOS

2. [1.1] RIVERA, D. Emerging Role for 7T MRI and Metabolic Imaging for Pancreatic and Liver Cancer. In METABOLITES. MAY 2022, vol. 12, no. 5. https://doi.org/10.3390/metabo12050409; WOS

3. [1.1] SEO, J.H. – CHUNG, J.Y. A Preliminary Study for Reference RF Coil at 11.7 T MRI: Based on Electromagnetic Field Simulation of Hybrid-BC RF Coil According to Diameter and Length at 3.0, 7.0 and 11.7 T. In SENSORS. FEB 2022, vol. 22, no. 4. https://doi.org/10.3390/s22041512; WOS

4. [1.1] ZHU, Y. – SAPPO, C.R. – GRISSOM, W.A. – GORE, J.C. – YAN, X.Q. Dual-Tuned Lattice Balun for Multi-Nuclear MRI and MRS. In IEEE TRANSACTIONS ON MEDICAL IMAGING. ISSN 0278-0062, JUN 2022, vol. 41, no. 6, p. 1420-1430. https://doi.org/10.1109/TMI.2022.3140717; WOS

5. [1.2] PARASOGLOU, P. – OSORIO, R.S. – KHEGAI, O. – KOVBASYUK, Z. – MILLER, M. – HO, A. – DEHKHARGHANI, S. – WISNIEWSKI, T. – CONVIT, A. – MOSCONI, L. – BROWN, R. Phosphorus metabolism in the brain of cognitively normal midlife individuals at risk for Alzheimer’s disease. In NEUROIMAGE: REPORTS, 2022, vol. 2, no. 4. https://doi.org/10.1016/j.ynirp.2022.100121; SCOPUS

 

• WITKOVSKÝ, Viktor. On the exact computation of the density and of the quantiles of linear combinations of t and F random variables. In Journal of Statistical Planning and Inference, 2001, vol. 94, p. 1-13. (2000: 0.276 – IF). (2001 – WOS, SCOPUS). ISSN 0378-3758. https://doi.org/10.1016/S0378-3758(00)00208-1

WOS citations: 2

1. [1.1] COELHO, C.A. Likelihood Ratio Tests for Elaborate Covariance Structures and for MANOVA Models with Elaborate Covariance Structures-A Review. In JOURNAL OF THE INDIAN INSTITUTE OF SCIENCE. ISSN 0970-4140, 2022. https://doi.org/10.1007/s41745-022-00300-5; WOS

2. [1.1] KUMAR, M. – UPADHYE, N.S. – CHAND, A.K.B. Linear fractal interpolation function for data set with random noise. In FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY. ISSN 0218-348X, DEC 2022, vol. 30, no. 9. https://doi.org/10.1142/S0218348X22501869; WOS

 

• WITKOVSKÝ, Viktor. Computing the exact distribution of the Bartlett’s test statistic by numerical inversion of its characteristic function. In Journal of Applied Statistics, 2020, vol. 47, no. 13-15, p. 2749-2764. (2019: 1.031 – IF, Q3 – JCR, 0.528 – SJR, Q3 – SJR). (2020 – WOS, SCOPUS). ISSN 0266-4763. https://doi.org/10.1080/02664763.2019.1675608

WOS citations: 1; other citations: 1

1. [1.1] COELHO, C.A. Likelihood Ratio Tests for Elaborate Covariance Structures and for MANOVA Models with Elaborate Covariance Structures-A Review. In JOURNAL OF THE INDIAN INSTITUTE OF SCIENCE. ISSN 0970-4140, 2022. https://doi.org/10.1007/s41745-022-00300-5; WOS

2. [3.1] MURAKAMI, A. – SHIROTA, Y. Effects of Coronavirus on Vegetable Juice Manufacturers. In INTERNATIONAL JOURNAL OF TRADE, ECONOMICS AND FINANCE, 2022, vol. 13, no. 2, p. 42-46. https://doi.org/10.18178/ijtef.2022.13.2.721

 

Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus

 

• ARENDACKÁ, Barbora – SCHWARZ, K. – ŠTOLC, Svorad – WIMMER, Gejza, ml. – WITKOVSKÝ, Viktor. Variability issues in determining the concentration of isoprene in human breath by PTR-MS. In Journal of Breath Research, 2008, vol. 2, p. 037007. (2008 – WOS, SCOPUS). ISSN 1752-7155. https://doi.org/10.1088/1752-7155/2/3/037007

WOS citations: 1

1. [1.1] WEI, X. – LI, Q.Y. – WU, Y.H. – LI, J. – ZHANG, G.K. – SUN, M.X. – LI, Y.X. Determination of breath isoprene in 109 suspected lung cancer patients using cavity ringdown spectroscopy. In JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES. ISSN 1793-5458, SEP 2022, vol. 15, no. 05. https://doi.org/10.1142/S1793545822500298; WOS

 

• BEAR, L. – DOGRUSOZ, Y.S. – ŠVEHLÍKOVÁ, Jana – COLL-FONT, J. – GOOD, W. – VAN DAM, E. – MACLEOD, R. – ABELL, E. – WALTON, R. – CORONEL, R. – HAISSAGUERRE, M. – DUBOIS, R. Effects of ECG signal processing on the inverse problem of electrocardiography. In Computing in Cardiology, 2019, vol. 45, 4 p. (2018: 0.202 – SJR). (2019 – WOS, SCOPUS). ISSN 2325-8861. https://doi.org/10.22489/CinC.2018.070

WOS citations: 3

1. [1.1] GRAHAM, A.J. – ORINI, M. – ZACUR, E. – DHILLON, G. – JONES, D. – PRABHU, S. – PUGLIESE, F. – LOWE, M. – AHSAN, S. – EARLEY, M.J. – CHOW, A. – SPORTON, S. – DHINOJA, M. – HUNTER, R.J. – SCHILLING, R.J. – LAMBIASE, P.D. Assessing Noninvasive Delineation of Low-Voltage Zones Using ECG Imaging in Patients With Structural Heart Disease. In JACC-CLINICAL ELECTROPHYSIOLOGY. ISSN 2405-500X, APR 2022, vol. 8, no. 4, p. 426-436. https://doi.org/10.1016/j.jacep.2021.11.011; WOS

2. [1.1] MAH, S.A. – DU, P. – AVCI, R. – VANDERWINDEN, J.M. – CHENG, L.K. Analysis of Regional Variations of the Interstitial Cells of Cajal in the Murine Distal Stomach Informed by Confocal Imaging and Machine Learning Methods. In CELLULAR AND MOLECULAR BIOENGINEERING. ISSN 1865-5025, APR 2022, vol. 15, no. 2, p. 193-205. https://doi.org/10.1007/s12195-021-00716-6; WOS

3. [1.1] YADAN, Z. – XIN, L. – JIAN, W. Solving the inverse problem in electrocardiography imaging for atrial fibrillation using various time-frequency decomposition techniques based on empirical mode decomposition: A comparative study. In FRONTIERS IN PHYSIOLOGY. NOV 2 2022, vol. 13. https://doi.org/10.3389/fphys.2022.999900; WOS

 

• CAPEK, Ignác. Preparation and functionalization of gold nanoparticles. In Journal of Surface Science and Technology, 2013, vol. 29, no. 3-4, p. 1-18. (2012: 0.137 – SJR). (2013 – SCOPUS). ISSN 0970-1893.

SCOPUS citations: 1

1. [1.2] YASSIN, H.A.L. – SUBHI, B.F. Studying the effect of Gold Nanoparticles on some bacterial species isolated from surgical wound infections. In JOURNAL OF PHARMACEUTICAL NEGATIVE RESULTS, 2022, vol. 13, no. 4, p. 798-803. ISSN 0976-9234. https://doi.org/10.47750/pnr.2022.13.04.106; SCOPUS

 

• GÄBLER, S. – STAMPFL, J. – KOCH, T. – SEIDLER, S. – SCHÜLLER, G.C. – REDL, H. – JURÁŠ, Vladimír – TRATTNIG, S. – WEIDISCH, R. Determination of the viscoelastic properties of hydrogels based on polyethylene glycol diacrylate (PEG-DA) and human articular cartilage. In International Journal of Materials Engineering Innovation, 2009, vol. 1, no. 1, p. 3-20. (2009 – WOS, SCOPUS). ISSN 1757-2754. https://doi.org/10.1504/IJMATEI.2009.024024

WOS citations: 3

1. [1.1] SHARMA, S. – GUPTA, V. – MUDGAL, D. Current trends, applications, and challenges of coatings on additive manufacturing based biopolymers: A state of art review. In POLYMER COMPOSITES. ISSN 0272-8397, OCT 2022, vol. 43, no. 10, p. 6749-6781. https://doi.org/10.1002/pc.26809; WOS

2. [1.1] TODROS, S. – SPADONI, S. – BARBON, S. – STOCCO, E. – CONFALONIERI, M. – PORZIONATO, A. – PAVAN, P.G. Compressive Mechanical Behavior of Partially Oxidized Polyvinyl Alcohol Hydrogels for Cartilage Tissue Repair. In BIOENGINEERING-BASEL. DEC 2022, vol. 9, no. 12. https://doi.org/10.3390/bioengineering9120789; WOS

3. [1.1] XU, D.C. – HARVEY, T. – BEGIRISTAIN, E. – DOMINGUEZ, C. – SANCHEZ-ABELLA, L. – BROWNE, M. – COOK, R.B. Measuring the elastic modulus of soft biomaterials using nanoindentation. In JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS. ISSN 1751-6161, SEP 2022, vol. 133. https://doi.org/10.1016/j.jmbbm.2022.105329; WOS

 

• GRENDÁR, Marián – JUDGE, G. Empty set problem of maximum empirical likelihood methods. In Electronic Journal of Statistics, 2009, vol. 3, p. 1542-1555. (2009 – WOS, SCOPUS). ISSN 1935-7524. https://doi.org/10.1214/09-EJS528

Other citations: 1

1. [3.1] KIEN, D.T. – WEI, N.H. – CHAUDHURI, S. elhmc: An R Package for Hamiltonian Monte Carlo Sampling in Bayesian Empirical Likelihood. In arXiv, 2022, https://doi.org/10.48550/arXiv.2209.01289.

 

• GRENDÁR, Marián. Entropy and effective support size. In Entropy, 2006, vol. 8, no. 3, p. 169-174. (2005: 0.300 – SJR, Q3 – SJR). (2005 – WOS, SCOPUS). ISSN 1099-4300. https://doi.org/10.3390/e8030169

WOS citations: 1

1. [1.1] NASCIMENTO, S.M.C. – FOSTER, D.H. Information gains from commercial spectral filters in anomalous trichromacy. In OPTICS EXPRESS. ISSN 1094-4087, MAY 9 2022, vol. 30, no. 10, p. 16883-16895. https://doi.org/10.1364/OE.451407; WOS

 

• GRENDÁR JR., Marián – GRENDÁR, M. Maximum entropy: Clearing up mysteries. In Entropy, 2001, vol. 3, p. 58-63. (2001 – WOS, SCOPUS). ISSN 1099-4300. https://doi.org/10.3390/e3020058

Other citations: 1

1. [3.1] SIM, H.S. – LEE, M.-K. – LEE, C.-B. Evaluation of Habitat Suitability of Honey Tree Species, Kalopanax septemlobus Koidz., Tilia amurensis Rupr. and Styrax obassis Siebold & Z ucc. in the Baekdudaegan Mountains using MaxEnt Model. In JOURNAL OF KOREAN SOCIETY OF FOREST SCIENCE, 2022, vol. 111. no. 1, p. 50-60. ISSN 2586-6613. https://doi.org/10.14578/jkfs.2022.111.1.50

 

• JURÁŠ, Vladimír – MLYNÁRIK, V. – SZOMOLÁNYI, Pavol – VALKOVIČ, Ladislav – TRATTNIG, S. Magnetic resonance imaging of the musculoskeletal system at 7T: Morphological imaging and beyond. In Topics in Magnetic Resonance Imaging, 2019, vol. 28, no. 3, p. 125-135. (2018: 0.601 – SJR, Q2 – SJR). (2019 – WOS, SCOPUS). ISSN 0899-3459. https://doi.org/10.1097/RMR.0000000000000205

WOS citations: 3; SCOPUS citations: 1; other citations: 2

1. [1.1] MANSUR, H. – ESTANISLAU, G. – DE NORONHA, M. – MARQUETI, R. – FACHIN-MARTINS, E. – QUAGLIOTTI DURIGAN, J.L. Intra- and inter-rater reliability for the measurement of the cross-sectional area of ankle tendons assessed by magnetic resonance imaging. In ACTA RADIOLOGICA, 2022, vol. 63, no. 4, p. 481-488. ISSN 0284-1851. https://doi.org/10.1177/02841851211003284; WOS

2. [1.1] ZHENG, L.Y. – YANG, C. – LIANG, L. – RAO, S.X. – DAI, Y.M. – ZENG, M.S. T2-weighted MRI and reduced-FOV diffusion-weighted imaging of the human pancreas at 5 T: A comparison study with 3 T. In MEDICAL PHYSICS, 2022. ISSN 0094-2405. https://doi.org/10.1002/mp.15970; WOS

3. [1.1] ZHENG, L.Y. – YANG, C. – SHENG, R.F. – DAI, Y.M. – ZENG, M.S. Renal imaging at 5 T versus 3 T: a comparison study. In INSIGHTS INTO IMAGING. ISSN 1869-4101, SEP 24 2022, vol. 13, no. 1. https://doi.org/10.1186/s13244-022-01290-9; WOS

4. [1.2] TRANG, G. – DEL SOL, S.R. – JENKINS, S. – BRYANT, S. – GARDNER, B. – CHAKRABARTI, M.O. – MCGAHAN, P.J. – CHEN, J.L. Evaluation of Osteochondral Allograft Transplant Using In-Office Needle Arthroscopy. In ARTHROSCOPY TECHNIQUES, 2022, vol. 11, no. 12, p. e2243-e2248. https://doi.org/10.1016/j.eats.2022.08.032; SCOPUS

5. [3.1] CHEBROLU, V.V. – STINSON, E. – KOLLASCH, P. Subtle intensity graduating homomorphic transform to improve conspicuity of low-intensity pathologies. In US Patent US11448718B2, 2022, https://patents.google.com/patent/US11448718B2/en.

6. [3.1] PERRY, M.T. – ANDERSON, M.W. MR Imaging for the Orthopedic Surgeon. In MRI-ARTHROSCOPY CORRELATIONS. Springer, 2022, p. 1-16. https://doi.org/10.1007/978-3-030-94789-7_1

 

• KAČUR, J. – MINÁR, J. – BUDÁČOVÁ, Hana. Determination of soil parameters based on mathematical modelling of centrifugation. In International Journal of Mathematical Modelling and Numerical Optimisation, 2014, vol. 5, no. 3, p. 153-170. (2013: 0.419 – SJR, Q3 – SJR). (2014 – SCOPUS). ISSN 2040-3607. https://doi.org/10.1504/IJMMNO.2014.063265

SCOPUS citations: 1

1. [1.2] TRNÍK, A. – MÁNIK, M. – KURUC, M. – MEDVED, I. Implementation of an Experimental Method in the Investigation of Hygrothermal Properties of Porous Materials in the Education of Graduate Students. In AIP CONFERENCE PROCEEDINGS, 2022, vol. 2458. ISSN 0094-243X. https://doi.org/10.1063/5.0078255; SCOPUS

 

• KHUNOVÁ, V. – PAVLIŇÁKOVÁ, V. – ŠKRÁTEK, Martin – ŠAFAŘÍK, I. – PAVLIŇÁK, D. Magnetic halloysite reinforced biodegradable nanofibres: New challenge for medical applications. In AIP Conference Proceedings, 2018, vol. 1981, p. 020074. (2017: 0.165 – SJR). (2018 – SCOPUS, WOS). ISSN 0094-243X. https://doi.org/10.1063/1.5045936

WOS citations: 1

1. [1.1] FIZIR, M. – LIU, W. – TANG, X. – WANG, F.Q. – BENMOKADEM, Y. Design Approaches, Functionalization, and Environmental and Analytical Applications of Magnetic Halloysite Nanotubes: A Review. In CLAYS AND CLAY MINERALS. ISSN 0009-8604, OCT 2022, vol. 70, no. 5, p. 660-694. https://doi.org/10.1007/s42860-022-00210-8; WOS

 

• MATEJ, Samuel – LEWITT, R. M. Practical considerations for 3-D image reconstruction using spherically symmetric volume elements. In IEEE Transactions on Medical Imaging, 1996, vol. 15, p. 68-78. (1996 – WOS, SCOPUS). ISSN 0278-0062. https://doi.org/10.1109/42.481442

WOS citations: 2; SCOPUS citations: 1; other citations: 1

1. [1.1] CENSOR, Y. – SCHUBERT, K.E. – SCHULTE, R.W. Developments in Mathematical Algorithms and Computational Tools for Proton CT and Particle Therapy Treatment Planning. In IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES. ISSN 2469-7311, MAR 2022, vol. 6, no. 3, p. 313-324. https://doi.org/10.1109/TRPMS.2021.3107322; WOS

2. [1.1] EFTHIMIOU, N. – KARP, J.S. – SURTI, S. Data-driven, energy-based method for estimation of scattered events in positron emission tomography. In PHYSICS IN MEDICINE AND BIOLOGY. ISSN 0031-9155, MAY 7 2022, vol. 67, no. 9. https://doi.org/10.1088/1361-6560/ac62fc; WOS

3. [1.2] HAWKES, P. – KASPER, E. Principles of Electron Optics, Volume 4: Advanced Wave Optics, 2022, pp. 1-2639. https://doi.org/10.1016/C2021-0-01238-4; SCOPUS

4. [3.1] WANG, L. – CAO, W. System and method for image reconstruction. In US Patent, US11341613B2, 2022. https://patents.google.com/patent/US11341613B2/en

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. – MATOUŠEK, J. Evaluation of synthetic speech quality by statistical analysis of voiced and unvoiced part durations. In 41st International Conference on Telecommunications and Signal Processing (TSP 2018). – Brno, Czech Republic : Faculty of Electrical Engineering and Communication, Brno University of Technology, 2018, p. 396-399. (2018 – WOS, SCOPUS). ISBN 978-1-5386-4695-3. https://doi.org/10.1109/TSP.2018.8441352

WOS citations: 1; SCOPUS citations: 1

1. [1.1] MALUCHA, J. – SIGMUND, M. Comparison of methods for determining speech voicing based on tests performed on paired consonants and continuous speech. In JOURNAL OF ELECTRICAL ENGINEERING-ELEKTROTECHNICKY CASOPIS. ISSN 1335-3632, SEP 1 2022, vol. 73, no. 5, p. 359-362. https://doi.org/10.2478/jee-2022-0049; WOS

2. [1.2] MALUCHA, J. Software Tool for Pronunciation Training of Specific English Terminology. In INTERNATIONAL CONFERENCE ON NEW TRENDS IN SIGNAL PROCESSING, 2022. https://doi.org/10.23919/NTSP54843.2022.9920469; SCOPUS

 

• RADIL, R. – BARABAS, J. – JANOUSEK, L. – BERETA, Martin. Frequency dependent alterations of S. Cerevisiae proliferation due to LF EMF exposure. In Advances in Electrical and Electronic Engineering, 2020, vol. 18, no. 2, p. 99-106. (2019: 0.205 – SJR, Q3 – SJR). (2020 – WOS, SCOPUS). ISSN 1336-1376. https://doi.org/10.15598/aeee.v18i2.3461

WOS citations: 2; SCOPUS citations: 1; other citations: 2

1. [1.1] JAKUSOVA, V. – SLADICEKOVA, K.H. Electromagnetic Fields as a Health Risk Factor. In CLINICAL SOCIAL WORK AND HEALTH INTERVENTION. ISSN 2222-386X, 2022, vol. 13, no. 6, p. 49-57. https://doi.org/10.22359/cswhi_13_6_10; WOS

2. [1.1] SLADICEKOVA, K.H. – MISEK, J. – JAKUSOVA, V. – ULBRICHTOVA, R. – VETERNIK, M. – PARIZEK, D. – JAKUS, J. Attenuation properties of health protection accessories during mobile phone exposure on the human head phantom. In PRZEGLAD ELEKTROTECHNICZNY. ISSN 0033-2097, 2022, vol. 98, no. 8, p. 63-68. https://doi.org/10.15199/48.2022.08.12; WOS

3. [1.2] PSENAKOVA, Z. – GOMBARSKA, D. – BACOVA, F. – CARNECKA, L. Simulation of different antennae arrangement for study of high frequency electromagnetic field influence to tumor tissue. In 14TH INTERNATIONAL CONFERENCE ELEKTRO 2022, 2022. https://doi.org/10.1109/ELEKTRO53996.2022.9803594; SCOPUS

4. [3.1] JOSHI, A.A. – WINGKAR, K.C. – JOSHI, A.G. – KAKADE, S. Long term effects of mobile phone use on sleep quality, stress score and depression score in female medical students. In BLDE UNIVERSITY JOURNAL OF HEALTH SCIENCES, 2022, vol. 7, no. 1, p. 121-125. https://doi.org/10.4103/bjhs.bjhs_120_20

5. [3.1] MISEK, J. – LAPOSOVA, S. – HAMZA SLADICEKOVA, K. – JAKUSOVA, J. – PARIZEK, D. – JAKUSOVA, V. – VETERNIK, M. – JAKUS, J. Measurement of Base Transceiver Station Exposure in the Extra-Village Environment- A Pilot Study. In ACTA MEDICA MARTINIANA, 2022, vol. 22, no. 1, p. 15-23. https://doi.org/10.2478/acm-2022-0003

 

• ROSIPAL, Roman. Kernel partial least squares for nonlinear regression and discrimination. In Neural Network World, 2003, vol. 13, no. 3, p. 291-300. (2003 – WOS, SCOPUS). ISSN 1210-0552.

WOS citations: 1; other citations: 2

1. [1.1] WANG, H.P. – CHU, X.L. – CHEN, P. – LI, J.Y. – LIU, D. – XU, Y.P. Partial least squares regression residual extreme learning machine (PLSRR-ELM) calibration algorithm applied in fast determination of gasoline octane number with near-infrared spectroscopy. In FUEL. ISSN 0016-2361, FEB 1 2022, vol. 309. https://doi.org/10.1016/j.fuel.2021.122224; WOS

2. [3.1] BIAN, X. Nonlinear Calibration Methods. In CHEMOMETRIC METHODS IN ANALYTICAL SPECTROSCOPY TECHNOLOGY. Springer, ISBN 978-981-19-1624-3, 2022, p. 255–295. https://www.springerprofessional.de/nonlinear-calibration-methods/22835930

3. [3.1] SCHULTZ, L. – AULD, J. – SOKOLOV, V. Bayesian Calibration for Activity Based Models. In arXiv, 2022, https://doi.org/10.48550/arXiv.2203.04414.

 

• RUBLÍK, František. A quantile goodness-of-fit test for Cauchy distribution, based on extreme order statistics. In Applications of Mathematics, 2001, vol. 46, no. 5, p. 339-351. (2001 – SCOPUS). ISSN 0862-7940. https://doi.org/10.1023/A:1013704326683

WOS citations: 3

1. [1.1] AKAOKA, Y. – OKAMURA, K. – OTOBE, Y. Bahadur efficiency of the maximum likelihood estimator and one-step estimator for quasi-arithmetic means of the Cauchy distribution. In ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS. ISSN 0020-3157, OCT 2022, vol. 74, no. 5, p. 895-923. https://doi.org/10.1007/s10463-021-00818-y; WOS

2. [1.1] AKAOKA, Y. – OKAMURA, K. – OTOBE, Y. Limit theorems for quasi-arithmetic means of random variables with applications to point estimations for the Cauchy distribution. In BRAZILIAN JOURNAL OF PROBABILITY AND STATISTICS. ISSN 0103-0752, JUN 2022, vol. 36, no. 2, p. 385-407. https://doi.org/10.1214/22-BJPS531; WOS

3. [1.1] OKAMURA, K. – OTOBE, Y. Characterizations of the Maximum Likelihood Estimator of the Cauchy Distribution. In LOBACHEVSKII JOURNAL OF MATHEMATICS. ISSN 1995-0802, SEP 2022, vol. 43, no. 9, SI, p. 2576-2590. https://doi.org/10.1134/S1995080222120216; WOS

 

• SCHWARZ, K. – PIZZINI, A. – ARENDACKÁ, Barbora – ZERLAUTH, K. – FILIPIAK, W. – SCHMID, A. – DZIEN, A. – NEUNER, S. – LECHLEITNER, M. – SCHOLL-BÜRGI, S. – MIEKISCH, W. – SCHUBERT, J. – UNTERKOFLER, K. – WITKOVSKÝ, Viktor – GASTL, G. – AMANN, A. Breath acetone – aspects of normal physiology related to age and gender as determined in a PTR-MS study. In Journal of Breath Research, 2009, vol. 3, p. 027003. (2008: 0.418 – SJR, Q2 – SJR). (2009 – WOS, SCOPUS). ISSN 1752-7155. https://doi.org/10.1088/1752-7155/3/2/027003

WOS citations: 10; other citations: 3

1. [1.1] AHMADIPOUR, M. – PANG, A.L. – ARDANI, M.R. – PUNG, S.Y. – OOI, P.C. – HAMZAH, A.A. – WEE, M.F.M.R. – HANIFF, M.A.S.M. – DEE, C.F. – MAHMOUDI, E. – ARSAD, A. – AHMAD, M.Z. – PAL, U. – CHAHROUR, K.M. – HADDADI, S.A. Detection of breath acetone by semiconductor metal oxide nanostructures-based gas sensors: A review. In MATERIALS SCIENCE IN SEMICONDUCTOR PROCESSING. ISSN 1369-8001, OCT 2022, vol. 149. https://doi.org/10.1016/j.mssp.2022.106897; WOS

2. [1.1] CRUZ, N. – FLORES, M. – URQUIAGA, I. – AVILA, F. Modulation of 1,2-Dicarbonyl Compounds in Postprandial Responses Mediated by Food Bioactive Components and Mediterranean Diet. In ANTIOXIDANTS. AUG 2022, vol. 11, no. 8. https://doi.org/10.3390/antiox11081513; WOS

3. [1.1] DONG, H. – QIAN, L.B. – CUI, Y.X. – ZHENG, X.B. – CHENG, C. – CAO, Q.P. – XU, F. – WANG, J. – CHEN, X. – WANG, D. Online Accurate Detection of Breath Acetone Using Metal Oxide Semiconductor Gas Sensor and Diffusive Gas Separation. In FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY. ISSN 2296-4185, MAR 8 2022, vol. 10. https://doi.org/10.3389/fbioe.2022.861950; WOS

4. [1.1] GOUZI, F. – AYACHE, D. – HEDON, C. – MOLINARI, N. – VICET, A. Breath acetone concentration: too heterogeneous to constitute a diagnosis or prognosis biomarker in heart failure? A systematic review and meta-analysis. In JOURNAL OF BREATH RESEARCH. ISSN 1752-7155, JAN 2022, vol. 16, no. 1. https://doi.org/10.1088/1752-7163/ac356d; WOS

5. [1.1] GUNTNER, A.T. – WEBER, I.C. – SCHON, S. – PRATSINIS, S.E. – GERBER, P.A. Monitoring rapid metabolic changes in health and type-1 diabetes with breath acetone sensors. In SENSORS AND ACTUATORS B-CHEMICAL. SEP 15 2022, vol. 367. https://doi.org/10.1016/j.snb.2022.132182; WOS

6. [1.1] HOLCZMANN, P. – LEDERER, W. – ISSER, M. – KLINGER, A. – JURSCHIK, S. – WIESENHOFER, H. – MAYHEW, C.A. – RUZSANYI, V. Adsorption Capacity of Plastic Foils Suitable for Barrier Resuscitation. In COATINGS. OCT 2022, vol. 12, no. 10. https://doi.org/10.3390/coatings12101545; WOS

7. [1.1] OBEIDAT, Y. – RAWASHDEH, A.M. – HAMMOUDEH, A. – AL-ASSI, R. – DAGAMSEH, A. – QANANWAH, Q. Acetone sensing in liquid and gas phases using cyclic voltammetry. In SCIENTIFIC REPORTS. ISSN 2045-2322, JUN 30 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-15135-4; WOS

8. [1.1] PALECZEK, A. – RYDOSZ, A. Review of the algorithms used in exhaled breath analysis for the detection of diabetes. In JOURNAL OF BREATH RESEARCH. ISSN 1752-7155, 2022, vol. 16, no. 2. https://doi.org/10.1088/1752-7163/ac4916; WOS

9. [1.1] ZHANG, C. – ZHENG, Y. – DING, Y.W. – ZHENG, X.K. – XIANG, Y. – TONG, A.J. A ratiometric solid AIE sensor for detection of acetone vapor. In TALANTA. ISSN 0039-9140, JAN 1 2022, vol. 236. https://doi.org/10.1016/j.talanta.2021.122845; WOS

10. [1.1] ZOU, Z.W. – YANG, X.D. Volatile organic compound emissions from the human body: Decoupling and comparison between whole-body skin and breath emissions. In BUILDING AND ENVIRONMENT. ISSN 0360-1323, DEC 2022, vol. 226. https://doi.org/10.1016/j.buildenv.2022.109713; WOS

11. [3.1] AHMAD, L.M. – AHMAD, S.A. – SMITH, Z. Analyte measurement analysis using baseline levels. In US Patent, US11253194B2, 2022, https://patents.google.com/patent/US11253194B2/en.

12. [3.1] AHMED, L.M. – SATTERFIELD, B.C. – MARTINEAU, R.L. Method and apparatus for analyzing acetone in breath. In US Patent, US11353462B2, 2022, https://patents.google.com/patent/US11353462B2/en.

13. [3.1] BEKÖ, G. – WARGOCKI, P. – DUFFY, E. Occupant Emissions and Chemistry. In HANDBOOK OF INDOOR AIR QUALITY. Springer, 2022, 903-929. https://doi.org/10.1007/978-981-16-7680-2_33

 

• ŠVEHLÍKOVÁ, Jana – LENKOVÁ, Jana – DRKOŠOVÁ, A. – FOLTÍN, M. – TYŠLER, Milan. ECG based assessment of the heart position in standard torso model. In IFMBE Proceedings, 2012, vol. 37, p. 474-477. (2012 – WOS, SCOPUS). ISSN 1680-0737. https://doi.org/10.1007/978-3-642-23508-5_123

WOS citations: 1

1. [1.1] BERGQUIST, J.A. – COLL-FONT, J. – ZENGER, B. – RUPP, L.C. – GOOD, W.W. – BROOKS, D.H. – MACLEOD, R.S. Reconstruction of cardiac position using body surface potentials. In COMPUTERS IN BIOLOGY AND MEDICINE. ISSN 0010-4825, MAR 2022, vol. 142. https://doi.org/10.1016/j.compbiomed.2021.105174; WOS

 

• TYŠLER, Milan – LENKOVÁ, Jana – ŠVEHLÍKOVÁ, Jana. Impact of the patient torso model on the solution of the inverse problem of electrocardiography. In Advances in Electrical and Electronic Engineering, 2014, vol. 12, no. 1, p. 58-65. (2013: 0.212 – SJR, Q3 – SJR). (2014 – SCOPUS). ISSN 1336-1376. https://doi.org/10.15598/aeee.v12i1.648

WOS citations: 1

1. [1.1] KAGHAZCHI, N. – UN, M.K. A novel iterative finite element optimisation method of solving inverse problem of electrocardiography to localise ischemic region on the heart. In MAEJO INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY. ISSN 1905-7873, SEP-DEC 2022, vol. 16, no. 03, p. 275-290; WOS

 

• VU VIET, Hoang – TEPLAN, Michal. Impact of magnetic field on yeast cells monitored by impedance spectroscopy. In Proceedings of International Workshop on Impedance Spectroscopy : IWIS 2021. – [s.l.] : IEEE, 2021, p. 85-88. (2021 – WOS, SCOPUS). ISBN 978-1-6654-9472-4. https://doi.org/10.1109/IWIS54661.2021.9711789

WOS citations: 1

1. [1.1] JUDAKOVA, Z. – JANOUSEK, L. – CARNECKA, L. – SVANTNEROVA, I. Conductometry as an evaluation tool in research into the impact of low-frequency electromagnetic field irradiation on cells. In 2022 23RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL PROBLEMS OF ELECTRICAL ENGINEERING (CPEE). 2022. https://doi.org/10.1109/CPEE56060.2022.9919688; WOS

 

• WITKOVSKÝ, Viktor. Numerical inversion of a characteristic function: An alternative tool to form the probability distribution of output quantity in linear measurement models. In Acta IMEKO, 2016, vol. 5, no. 3, p. 32-44. (2015: 0.136 – SJR, Q4 – SJR). (2016 – SCOPUS). ISSN 2221-870X. https://doi.org/http://dx.doi.org/10.21014/acta_imeko.v5i3.382

WOS citations: 3

1. [1.1] CUINGNET, R. – LADEGAILLERIE, Y. – JOSSENT, J. – MAITROT, A. – CHEDAL-ANGLAY, J. – RICHARD, W. – BERNARD, M. – WOOLFENDEN, J. – BIROT, E. – CHENU, D. PortiK: A computer vision based solution for real-time automatic solid waste characterization-Application to an aluminium stream. In WASTE MANAGEMENT. ISSN 0956-053X, SEP 2022, vol. 151, p. 267-279. https://doi.org/10.1016/j.wasman.2022.05.021; WOS

2. [1.1] HANCOVA, M. – GAJDOS, A. – HANC, J. A practical, effective calculation of gamma difference distributions with open data science tools. In JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION. ISSN 0094-9655, JUL 24 2022, vol. 92, no. 11, p. 2205-2232. https://doi.org/10.1080/00949655.2021.2023873; WOS

3. [1.1] SIVARAMAKRISHNAN, V. – PILIPOVSKY, J. – OISHI, M. – TSIOTRAS, P. Distribution Steering for Discrete-Time Linear Systems with General Disturbances using Characteristic Functions. In 2022 AMERICAN CONTROL CONFERENCE (ACC). 2022, p. 4183-4190; WOS

 

• WITKOVSKÝ, Viktor. On the exact two-sided tolerance intervals for univariate normal distribution and linear regression. In Austrian Journal of Statistics, 2014, vol. 43, no. 3-4, p. 279-292. (2014 – WOS). ISSN 1026-597X. https://doi.org/10.17713/ajs.v43i4.46

WOS citations: 1; SCOPUS citations: 1

1. [1.1] OH, Y. – KWAK, J. – KIM, S. Time delay estimation of traffic congestion propagation due to accidents based on statistical causality. In ELECTRONIC RESEARCH ARCHIVE. 2022, vol. 31, no. 2, p. 691-707. https://doi.org/10.3934/era.2023034; WOS

2. [1.2] KANG, P. A double integration method for generating exact tolerance limit factors for normal populations. In INTERNATIONAL JOURNAL OF METROLOGY AND QUALITY ENGINEERING, 2022, vol. 13. https://doi.org/10.1051/ijmqe/2022015; SCOPUS

 

Scientific papers in domestic impacted journals registered in Web of Sciences or Scopus

 

• BULAS, J. – POTOCAROVA, M. – KUPCOVA, V. – GASPAR, L. – WIMMER, Gejza, ml. – MURIN, J. Central systolic blood pressure increases with aortic stiffness. In Bratislava Medical Journal, 2019, vol. 120, no. 12, p. 894-898. (2018: 0.859 – IF, Q3 – JCR, 0.264 – SJR, Q3 – SJR). (2019 – WOS, SCOPUS). ISSN 0006-9248. https://doi.org/10.4149/BLL_2019_150

WOS citations: 1; SCOPUS citations: 1

1. [1.1] TAKAMI, T. – HOSHIDE, S. – KARIO, K. Differential impact of antihypertensive drugs on cardiovascular remodeling: a review of findings and perspectives for HFpEF prevention. In HYPERTENSION RESEARCH. ISSN 0916-9636, JAN 2022, vol. 45, no. 1, p. 53-60. https://doi.org/10.1038/s41440-021-00771-6; WOS

2. [1.2] AKOPYAN, A.A. – STRAZHESKO, I.D. – KLYASHTORNY, V.G. – ORLOVA, Y.A. Biological vascular age and its relationship with cardiovascular risk factors. In CARDIOVASCULAR THERAPY AND PREVENTION (RUSSIAN FEDERATION), 2022, vol. 21, no. 1, p. 12-19. ISSN 1728-8800. https://doi.org/10.15829/1728-8800-2022-2877; SCOPUS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. – MATOUŠEK, J. Evaluation of speaker de-identification based on voice gender and age conversion. In Journal of Electrical Engineering, 2018, vol. 69, no. 2, p. 138-147. (2017: 0.508 – IF, Q4 – JCR, 0.205 – SJR, Q3 – SJR). (2018 – SCOPUS, WOS). ISSN 1335-3632. https://doi.org/10.2478/jee-2018-0017

WOS citations: 2; SCOPUS citations: 1

1. [1.1] MAWALIM, C.O. – OKADA, S. – UNOKI, M. F-0 Modification via PV-TSM Algorithm for Speaker Anonymization Across Gender. In PROCEEDINGS OF 2022 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC). ISSN 2309-9402, 2022, p. 196-203; WOS

2. [1.1] PRAJAPATI, G.P. – SINGH, D.K. – AMIN, P.P. – PATIL, H.A. Voice privacy using CycleGAN and time-scale modification. In COMPUTER SPEECH AND LANGUAGE. ISSN 0885-2308, JUL 2022, vol. 74. https://doi.org/10.1016/j.csl.2022.101353; WOS

3. [1.2] PRAJAPATI, G.P. – SINGH, D.K. – PATIL, H.A. Significance of Distance Measures for Speaker Anonymization. In SPCOM 2022 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS, 2022. https://doi.org/10.1109/SPCOM55316.2022.9840515; SCOPUS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. – MATOUŠEK, J. GMM-based speaker age and gender classification in Czech and Slovak. In Journal of Electrical Engineering, 2017, vol. 68, no. 1, p. 3-12. (2016: 0.483 – IF, Q4 – JCR, 0.311 – SJR, Q2 – SJR). (2017 – WOS, SCOPUS). ISSN 1335-3632. https://doi.org/10.1515/jee-2017-0001

WOS citations: 3; SCOPUS citations: 1

1. [1.1] BADR, A. – ABDUL-HASSAN, A. VoxCeleb1: Speaker Age-Group Classification Probabilistic Neural Network. In INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY. ISSN 1683-3198, NOV 2022, vol. 19, no. 6, p. 854-860. https://doi.org/10.34028/iajit/19/6/2; WOS

2. [1.1] BADR, A.A. – ABDUL-HASSAN, A.K. Speaker gender identification in matched and mismatched conditions based on stacking ensemble method. In JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY. APR 2022, vol. 17, no. 2, p. 1119-1134; WOS

3. [1.1] VETRAB, M. – GOSZTOLYA, G. Using the Bag-of-Audio-Words approach for emotion recognition. In ACTA UNIVERSITATIS SAPIENTIAE INFORMATICA. ISSN 1844-6086, AUG 1 2022, vol. 14, no. 1, p. 1-21. https://doi.org/10.2478/ausi-2022-0001; WOS

4. [1.2] GOUD, K.M. – HUSSAIN, S.J. Estimation of Gender Using Convolutional Neural Network. In 6TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS, ELECTROMAGNETICS, AND TELECOMMUNICATIONS (ICMEET 2021), 2022, LNEE 839, p. 33-38. https://doi.org/10.1007/978-981-16-8554-5_4.

 

• STEIN, G.J. – CHMÚRNY, R. – ROSÍK, Vladimír. Compact vibration measuring system for in-vehicle applications. In Measurement Science Review, 2011, vol. 11, no. 5, p. 154-159. (2010: 0.400 – IF, Q4 – JCR, 0.209 – SJR, Q3 – SJR). (2011 – WOS, SCOPUS). ISSN 1335-8871. https://doi.org/10.2478/v10048-011-0030-1

WOS citations: 3; SCOPUS citations: 2

1. [1.1] MUCKA, P. New Transverse Unevenness Indexes of the Road Profile. In JOURNAL OF TRANSPORTATION ENGINEERING PART B-PAVEMENTS. ISSN 2573-5438, 2022, vol. 148, no. 3. https://doi.org/10.1061/JPEODX.0000387; WOS

2. [1.1] MUCKA, P. Probability density function of whole-body vibration in passenger car. In PROBABILISTIC ENGINEERING MECHANICS. ISSN 0266-8920, 2022, vol. 69. https://doi.org/10.1016/j.probengmech.2022.103311; WOS

3. [1.1] NITHIN, S.K. – HEMANTH, K. – SHAMANTH, V. – MAHALE, R.S. – SHARATH, P.C. – PATIL, A. Importance of condition monitoring in mechanical domain. In MATERIALS TODAY-PROCEEDINGS. ISSN 2214-7853, 2022, vol. 54, p. 234-239. https://doi.org/10.1016/j.matpr.2021.08.299; WOS

4. [1.2] GUEORGUIEV, N. – TODOROV, M. – BOYCHEV, Y. – TODOROV, M. Vehicle’s seismic waves measurements. In INTERNATIONAL MULTIDISCIPLINARY SCIENTIFIC GEOCONFERENCE SURVEYING GEOLOGY AND MINING ECOLOGY MANAGEMENT, 2022, vol. 22, p. 575-590. https://doi.org/10.5593/sgem2022/1.1/s05.067; SCOPUS

5. [1.2] HASSINE, H. – CHAEIB, H. – BARKALLAH, M. – LOUATI, J. – HADDAR, M. Experimental Study and Measurement of Vehicle Interior Vibration. In ADVANCES IN MATERIALS, MECHANICS AND MANUFACTURING II. A3M 2021. Springer, p. 333-341. https://doi.org/10.1007/978-3-030-84958-0_36; SCOPUS

 

• TEPLAN, Michal – KRAKOVSKÁ, Anna – ŠPAJDEL, M. Spectral EEG features of a short psycho-physiological relaxation. In Measurement Science Review, 2014, vol. 14, no. 4, p. 237-242. (2013: 1.162 – IF, Q3 – JCR, 0.340 – SJR, Q3 – SJR). (2014 – WOS, SCOPUS). ISSN 1335-8871. https://doi.org/10.2478/msr-2014-0032

SCOPUS citations: 1

1. [1.2] WEEKES, T.R. – ESKRIDGE, T.C. Design Thinking the Human-AI Experience of Neurotechnology for Knowledge Workers. In LECTURE NOTES IN COMPUTER SCIENCE, 2022, vol. 13519 LNCS, p. 527-545. ISSN 0302-9743. https://doi.org/10.1007/978-3-031-17618-0_37; SCOPUS

 

• VOJTÍŠEK, Lubomír – FROLLO, Ivan – VALKOVIČ, Ladislav – GOGOLA, Daniel – JURÁŠ, Vladimír. Phased array receiving coils for low field lungs MRI: Design and optimization. In Measurement Science Review, 2011, vol. 11, no. 2, p. 61-66. (2010: 0.400 – IF, Q4 – JCR, 0.209 – SJR, Q3 – SJR). (2011 – WOS, SCOPUS). ISSN 1335-8871. https://doi.org/10.2478/v10048-011-0012-3

WOS citations: 1

1. [1.1] GIOVANNETTI, G. – FRIJIA, F. – FLORI, A. Radiofrequency Coils for Low-Field (0.18-0.55 T) Magnetic Resonance Scanners: Experience from a Research Lab-Manufacturing Companies Cooperation. In ELECTRONICS, 2022, vol. 11, no. 24. https://doi.org/10.3390/electronics11244233; WOS

 

• WITKOVSKÝ, Viktor – WIMMER, G. – DUBY, T. Estimating the distribution of a stochastic sum of IID random variables. In Mathematica Slovaca, 2020, vol. 70. no. 3, p. 759-774. (2019: 0.654 – IF, Q3 – JCR, 0.397 – SJR, Q3 – SJR). (2020 – WOS, SCOPUS). ISSN 0139-9918. https://doi.org/10.1515/ms-2017-0389

WOS citations: 1

1. [1.1] COELHO, C.A. Likelihood Ratio Tests for Elaborate Covariance Structures and for MANOVA Models with Elaborate Covariance Structures-A Review. In JOURNAL OF THE INDIAN INSTITUTE OF SCIENCE. ISSN 0970-4140, 2022; WOS

 

Scientific papers in domestic non-impacted journals registered in Web of Sciences or Scopus

 

• FROLLO, Ivan – ANDRIS, Peter – KRAFČÍK, Andrej – GOGOLA, Daniel – DERMEK, Tomáš. Comparative magnetic field measurements for homogeneity adjustment of magnetic resonance imaging equipments. In MEASUREMENT 2017 : Proceedings of the 11th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2017, p. 259-262. (2017 – WOS, SCOPUS). ISBN 978-80-972629-0-7. https://doi.org/10.23919/MEASUREMENT.2017.7983585

WOS citations: 1; SCOPUS citations: 1

1. [1.1] LI, Z. – OUYANG, Z.R. – LENG, Z.K. – ZHANG, Y.B. – ZHANG, S. – LU, Y.F. – YAN, Z.D. Precise Strong Magnet Measurement Method Based on Magnetic Flux Modulation Principle. In ELECTRONICS. MAR 2022, vol. 11, no. 6. https://doi.org/10.3390/electronics11060970; WOS

2. [1.2] WANG, Y. – HU, H. – SHANG, H. – PENG, T. Measuring System with a Probe Array for Magnetic Field Homogeneity. In 2022 IEEE 3RD CHINA INTERNATIONAL YOUTH CONFERENCE ON ELECTRICAL ENGINEERING, 2022. https://doi.org/10.1109/CIYCEE55749.2022.9958965; SCOPUS

 

• KADANEC, Jan – ZELINKA, Ján – BUKOR, Gabriel – TYŠLER, Milan. ProCardio 8 – system for high resolution ECG mapping. In MEASUREMENT 2017 : Proceedings of the 11th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2017, p. 263-266. (2017 – WOS, SCOPUS). ISBN 978-80-972629-0-7. https://doi.org/10.23919/MEASUREMENT.2017.7983586

SCOPUS citations: 1

1. [1.2] RASOOLZADEH, N. – SVEHLIKOVA, J. – ONDRUSOVA, B. – DOGRUSOZ, Y.S. Variability of Premature Ventricular Contraction Localization with Respect to Source and Forward Model Variation in Clinical Data. In COMPUTING IN CARDIOLOGY, 2022. ISSN 2325-8861. https://doi.org/10.22489/CinC.2022.353; SCOPUS

 

• PIGOŠOVÁ, Jana – CIGÁŇ, Alexander – MAŇKA, Ján. Thermal synthesis of bismuth-doped yttrium iron garnet for magneto-optical imaging. In Measurement Science Review, 2008, vol. 8, no. 5, p. 126-128. (2008 – WOS). ISSN 1335-8871. https://doi.org/10.2478/v10048-008-0030-y

WOS citations: 1

1. [1.1] SPIVAKOV, A. – LIN, C.R. – TSAI, C.Y. – CHEN, Y.Z. Size-Dependent Magnetic and Magneto-Optical Properties of Bi-Doped Yttrium Iron Garnet Nanopowders. In NANOSCALE RESEARCH LETTERS. ISSN 1931-7573, AUG 4 2022, vol. 17, no. 1. https://doi.org/10.1186/s11671-022-03709-0; WOS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. An experiment with evaluation of emotional speech conversion by spectrograms. In Measurement Science Review, 2010, vol. 10, no. 3, p. 72-77. (2009: 0.115 – SJR, Q4 – SJR). (2010 – WOS, SCOPUS). ISSN 1335-8871. https://doi.org/10.2478/v10048-010-0017-3

WOS citations: 1

1. [1.1] ALNUAIM, A.A. – ZAKARIAH, M. – ALHADLAQ, A. – SHASHIDHAR, C. – HATAMLEH, W.A. – TARAZI, H. – SHUKLA, P.K. – RATNA, R. Human-Computer Interaction with Detection of Speaker Emotions Using Convolution Neural Networks. In COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE. ISSN 1687-5265, MAR 31 2022, vol. 2022. https://doi.org/10.1155/2022/7463091; WOS

 

• WIMMER, G. – WITKOVSKÝ, Viktor. Two-dimensional linear comparative calibration and measurement uncertainty. In MEASUREMENT 2019 : Proceedings of the 12th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, Slovak Academy of Sciences, 2019, p. 66-69. (2019 – WOS, SCOPUS). ISBN 978-80-972629-2-1. https://doi.org/10.23919/MEASUREMENT47340.2019.8779887

Other citations: 1

1. [3.1] ZAKHAROV, I. – NEYEZHMAKOV, P. – SEMENIKHIN, V. – WARSZAM, Z.L. Measurement Uncertainty Evaluation of Parameters Describing the Calibrated Curves. In AUTOMATION 2022: NEW SOLUTIONS AND TECHNOLOGIES FOR AUTOMATION, ROBOTICS AND MEASUREMENT TECHNIQUES. Springer, 2022, AISC vol. 1427. https://doi.org/10.1007/978-3-031-03502-9_38

 

• WITKOVSKÝ, Viktor – WIMMER, G. – ĎURIŠOVÁ, Z. – ĎURIŠ, S. – PALENČÁR, R. Brief overview of methods for measurement uncertainty analysis: GUM uncertainty framework, Monte Carlo method, characteristic function approach. In MEASUREMENT 2017 : Proceedings of the 11th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2017, p. 35-38. (2017 – WOS, SCOPUS). ISBN 978-80-972629-0-7. https://doi.org/10.23919/MEASUREMENT.2017.7983530

WOS citations: 2

1. [1.1] CHEN, Y.M. – LI, X.H. – HUANG, L.X. – WANG, X. – LIU, C.H. – ZHAO, F. – HUA, Y. – FENG, P. GUM method for evaluation of measurement uncertainty: BPL long wave time service monitoring. In MEASUREMENT. ISSN 0263-2241, FEB 15 2022, vol. 189. https://doi.org/10.1016/j.measurement.2021.110459; WOS

2. [2.1] KUWALEK, P. – WICZYNSKI, G. Problem of Total Harmonic Distortion Measurement Performed by Smart Energy Meters. In MEASUREMENT SCIENCE REVIEW. ISSN 1335-8871, FEB 1 2022, vol. 22, no. 1, p. 1-10. https://doi.org/10.2478/msr-2022-0001; WOS

 

• WITKOVSKÝ, Viktor – WIMMER, G. Inverse and direct prediction and its effect on measurement uncertainty in polynomial comparative calibration. In MEASUREMENT 2019 : Proceedings of the 12th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, Slovak Academy of Sciences, 2019, p. 62-65. (2019 – WOS, SCOPUS). ISBN 978-80-972629-2-1. https://doi.org/10.23919/MEASUREMENT47340.2019.8779926

WOS citations: 1; other citations: 1

1. [1.1] FARAYOLA, P.O. – BRUCE, I. – CHAGANTI, S.K. – SHEIKH, A. – RAVI, S. – CHEN, D. The Least-Squares Approach to Systematic Error Identification and Calibration in Semiconductor Multisite Testing. In 2022 IEEE 40TH VLSI TEST SYMPOSIUM (VTS). ISSN 1093-0167, 2022; WOS

2. [3.1] ZAKHAROV, I. – NEYEZHMAKOV, P. – SEMENIKHIN, V. – WARSZAM, Z.L. Measurement Uncertainty Evaluation of Parameters Describing the Calibrated Curves. In AUTOMATION 2022: NEW SOLUTIONS AND TECHNOLOGIES FOR AUTOMATION, ROBOTICS AND MEASUREMENT TECHNIQUES. Springer, 2022, AISC vol. 1427. https://doi.org/10.1007/978-3-031-03502-9_38

 

Scientific papers in other foreign journals not registered in WOS or Scopus without IF (non-impacted)

 

• CIMERMANOVÁ, Katarína. Estimation of confidence intervals for the log-normal means and for the ratio and difference of log-normal means. In Measurement Science Review, 2007, vol. 7, no. 3, p. 31-34. ISSN 1335-8871.

WOS citations: 1

1. [1.1] MARIMUTHU, S. – MANI, T. – SUDARSANAM, T.D. – GEORGE, S. – JEYASEELAN, L. Preferring Box-Cox transformation, instead of log transformation to convert skewed distribution of outcomes to normal in medical research. In CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH. ISSN 2452-0918, MAY-JUN 2022, vol. 15. https://doi.org/10.1016/j.cegh.2022.101043; WOS

 

• KLEMBARA, J. – MIKUDÍKOVÁ, M. – ŠTAMBERG, S. – HAIN, Miroslav. First record of the stem amniote Discosauriscus (Seymouriamorpha, Discosauriscidae) from the Krkonoše Piedmont Basin (the Czech Republic). In Fossil Imprint, 2020, vol. 76, no. 2, p. 243-251. (2019: 0.395 – SJR, Q3 – SJR). ISSN 2533-4050. https://doi.org/http://dx.doi.org/10.37520/fi.2020.020

WOS citations: 1

1. [1.1] CALABKOVA, G. – BREZINA, J. – MADZIA, D. Evidence of large terrestrial seymouriamorphs in the lowermost Permian of the Czech Republic. In PAPERS IN PALAEONTOLOGY, 2022, vol. 8, no. 2. ISSN 2056-2799. https://doi.org/10.1002/spp2.1428; WOS

 

• KRAKOVSKÁ, Anna – MEZEIOVÁ, Kristína – BUDÁČOVÁ, Hana. Use of false nearest neighbours for selecting variables and embedding parameters for state space reconstruction. In Journal of Complex Systems, 2015, article ID 932750, p. 1-12. ISSN 2356-7244.

WOS citations: 3; SCOPUS citations: 1; other citations: 4

1. [1.1] GU, H. – CHOU, C.-A. Optimizing non-uniform multivariate embedding for multiscale entropy analysis of complex systems. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, vol. 71. ISSN 1746-8094. https://doi.org/10.1016/j.bspc.2021.103206; WOS

2. [1.1] KRAEMER, K.H. – GELBRECHT, M. – PAVITHRAN, I. – SUJITH, R.I. – MARWAN, N. Optimal state space reconstruction via Monte Carlo decision tree search. In NONLINEAR DYNAMICS. ISSN 0924-090X, APR 2022, vol. 108, no. 2, p. 1525-1545. https://doi.org/10.1007/s11071-022-07280-2; WOS

3. [1.1] STAVRINIDES, S.G. – HANIAS, M.P. – GONZALEZ, M.B. – CAMPABADAL, F. – CONTOYIANNIS, Y. – POTIRAKIS, S.M. – CHAWA, M.M.A. – DE BENITO, C. – TETZLAFF, R. – PICOS, R. – CHUA, L.O. On the chaotic nature of random telegraph noise in unipolar RRAM memristor devices. In CHAOS SOLITONS & FRACTALS, 2022, vol. 160. ISSN 0960-0779. https://doi.org/10.1016/j.chaos.2022.112224; WOS

4. [1.2] SHEELA, P. – PUTHANKATTIL, S.D. A Matching Energy based approach in wavelet domain to distinguish hyper-responsive behavior in Autism Spectrum Disorders. In 2022 IEEE 19TH INDIA COUNCIL INTERNATIONAL CONFERENCE, 2022. https://doi.org/10.1109/INDICON56171.2022.10040186; SCOPUS

5. [3.1] BARANSKI, K. – GUTMAN, Y. – SPIEWAK, A. Prediction of dynamical systems from time-delayed measurements with self-intersections. In arXiv, 2022, https://doi.org/10.48550/arXiv.2212.13509.

6. [3.1] GONCALVES, C.P. Low Dimensional Chaotic Attractors in SARS-CoV-2’s Regional Epidemiological Data. In medRxiv, 2022, https://doi.org/10.1101/2022.09.16.22280044.

7. [3.1] LIN, A.T. – WONG, A.S. – MARTIN, R. – OSHER, S.J. – ECKHARDT, D. Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators. In arXiv, 2022, https://doi.org/10.48550/arXiv.2203.06269.

8. [3.1] RUDMAN, W. – MERULLO, J. – MERCURIO, L. – EICKHOFF, C. ACQuA: Arrhythmia Classification with Quasi-Attractors. In medRxiv, 2022, https://doi.org/10.1101/2022.08.31.22279436.

 

• ŠUŠMÁKOVÁ, Kristína. Correlation dimension versus fractal exponent during sleep onset. In Measurement Science Review, 2006, vol. 6, no. 4, p. 58-62. ISSN 1335-8871.

Other citations: 1

1. [3.1] DEMAREVA, V. – VIAKHIREVA, V. – ZAYCEVA, I. – ISAKOVA, I. – OKHRIMCHUK, Y. – ZUEVA, K. – DEMAREV, A. – ZHUKOVA, M. – NAZAROV, N. – EDELEVAA, J. Subjective Sleepiness Dynamics Dataset (SSDD) Presentation: the Study of Two Scales Consistency. In arXiv, 2022, https://doi.org/10.48550/arXiv.2212.06501.

 

• TREJO, L.J. – KUBITZ, K. – ROSIPAL, Roman – KOCHAVI, R.L. – MONTGOMERY, L.D. EEG-based estimation and classification of mental fatigue. In Psychology, 2015, vol. 6, no. 5, p. 572-589. ISSN 2152-7180. https://doi.org/10.4236/psych.2015.65055

WOS citations: 15; SCOPUS citations: 1; other citations: 4

1. [1.1] BECATTINI, F. – PALAI, F. – DEL BIMBO, A. Understanding Human Reactions Looking at Facial Microexpressions With an Event Camera. In IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS. ISSN 1551-3203, DEC 2022, vol. 18, no. 12, p. 9112-9121. https://doi.org/10.1109/TII.2022.3195063; WOS

2. [1.1] BENKIRANE, O. – DELWICHE, B. – MAIRESSE, O. – PEIGNEUX, P. Impact of Sleep Fragmentation on Cognition and Fatigue. In INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. DEC 2022, vol. 19, no. 23. https://doi.org/10.3390/ijerph192315485; WOS

3. [1.1] DISSANAYAKE, U.C. – STEUBER, V. – AMIRABDOLLAHIAN, F. EEG Spectral Feature Modulations Associated With Fatigue in Robot-Mediated Upper Limb Gross and Fine Motor Interactions. In FRONTIERS IN NEUROROBOTICS. ISSN 1662-5218, JAN 20 2022, vol. 15. https://doi.org/10.3389/fnbot.2021.788494; WOS

4. [1.1] FANG, Y. – LIU, C. – ZHAO, C.C. – ZHANG, H.Y. – WANG, W.Z. – ZOU, N.Y. A Study of the Effects of Different Indoor Lighting Environments on Computer Work Fatigue. In INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. JUN 2022, vol. 19, no. 11. https://doi.org/10.3390/ijerph19116866; WOS

5. [1.1] GUARDA, L. – TAPIA, J.E. – LOPEZ DROGUETT, E. – RAMOS, M. A novel Capsule Neural Network based model for drowsiness detection using electroencephalography signals. In EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174, 2022, vol. 201. https://doi.org/10.1016/j.eswa.2022.116977; WOS

6. [1.1] HOSKENS, M.C.J. – UIGA, L. – COOKE, A. – CAPIO, C.M. – MASTERS, R.S.W. The Effects of Fatigued Working Memory Functions on Hypothesis Testing During Acquisition of a Motor Skill. In JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL. ISSN 0096-3445, JUN 2022, vol. 151, no. 6, p. 1306-1324. https://doi.org/10.1037/xge0000905; WOS

7. [1.1] KUSTUBAYEVA, A. – ZHOLDASSOVA, M. – BORBASSOVA, G. – MATTHEWS, G. Temporal changes in ERP amplitudes during sustained performance of the Attention Network Test. In INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY. ISSN 0167-8760, DEC 2022, vol. 182, p. 142-158. https://doi.org/10.1016/j.ijpsycho.2022.10.006; WOS

8. [1.1] LANG, X.Y. – WANG, Z. – TIAN, X.Y. – WU, Y.F. – ZHU, S.Q. – LIU, W.W. The effects of extreme high indoor temperature on EEG during a low intensity activity. In BUILDING AND ENVIRONMENT. ISSN 0360-1323, JUL 1 2022, vol. 219. https://doi.org/10.1016/j.buildenv.2022.109225; WOS

9. [1.1] LEE, M. – KIM, Y.H. – LEE, S.W. Motor Impairment in Stroke Patients Is Associated With Network Properties During Consecutive Motor Imagery. In IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. ISSN 0018-9294, AUG 2022, vol. 69, no. 8, p. 2604-2615. https://doi.org/10.1109/TBME.2022.3151742; WOS

10. [1.1] LEWCZUK, K. – WIZLA, M. – OLEKSY, T. – WYCZESANY, M. Emotion Regulation, Effort and Fatigue: Complex Issues Worth Investigating. In FRONTIERS IN PSYCHOLOGY. ISSN 1664-1078, FEB 16 2022, vol. 13. https://doi.org/10.3389/fpsyg.2022.742557; WOS

11. [1.1] MIZRAHI, D. – ZUCKERMAN, I. – LAUFER, I. Electrophysiological Features to Aid in the Construction of Predictive Models of Human-Agent Collaboration in Smart Environments. In SENSORS. SEP 2022, vol. 22, no. 17. https://doi.org/10.3390/s22176526; WOS

12. [1.1] MOHAMMADI, A. – NEMATPOUR, L. – DEHAGHI, B.F. Reader fatigue – Electroencephalography findings: A case study in students. In WORK-A JOURNAL OF PREVENTION ASSESSMENT & REHABILITATION. ISSN 1051-9815, 2022, vol. 71, no. 1, p. 209-214. https://doi.org/10.3233/WOR-205121; WOS

13. [1.1] NASCIMBEN, M. – WANG, Y.K. – KING, J.T. – JUNG, T.P. – TOURYAN, J. – LANCE, B.J. – LIN, C.T. Alpha Correlates of Practice During Mental Preparation for Motor Imagery. In IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS. ISSN 2379-8920, MAR 2022, vol. 14, no. 1, p. 146-155. https://doi.org/10.1109/TCDS.2020.3026530; WOS

14. [1.1] RIVERA, M.M. – MARTINEZ, L. – ZEZZATTI, A.O. – NAVARRO, A. – RODARTE, J. – LOPEZ, N. Prototype interface for detecting mental fatigue with EEG and XAI frameworks in Industry 4.0. In EXPLAINABLE ARTIFICIAL INTELLIGENCE IN MEDICAL DECISION SUPPORT SYSTEMS. 2022, vol. 50, p. 117-136; WOS

15. [1.1] SZABO, B. – OLLE, J. – LASZLO, S. – HARMAT, V. – VASZKUN, B. – TOVOLGYI, S. Pilot study on applying various research methodologies to investigate the effectiveness of e-learning materials. In INFORMACIOS TARSADALOM. ISSN 1587-8694, 2022, vol. 22, no. 2, p. 93-116. https://doi.org/10.22503/inftars.XXII.2022.2.6; WOS

16. [1.2] SOBOTA, B. – KORECKO, S. – GVUSCOVA, J. – MATTOVA, M. Therapist-patient interaction in virtual reality at the level of the upper limbs. In INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA), 2022. https://doi.org/10.1109/ICETA57911.2022.9974677; SCOPUS

17. [3.1] HAVUGIMANA, F. – MOINUDDIN, K.A. – YEASIN, M. Deep Learning Framework for Modeling Cognitive Load from Small and Noisy EEG data. In TechRxiv, 2022, https://doi.org/10.36227/techrxiv.21637409.v1.

18. [3.1] HINSS, M.F. – BROCK, A.M. – ROY, R.N. Cognitive effects of prolonged continuous human-machine interaction: The case for mental state-based adaptive interfaces. In FRONTIERS IN NEUROERGONOMICS. ISSN 2673-6195, 2022, vol. 3. https://doi.org/10.3389/fnrgo.2022.935092

19. [3.1] TAHAN, A. – FARS, A. The effect of mental and muscle fatigue on spatial working memory. In SHENAKHT JOURNAL OF PSYCHOLOGY AND PSYCHIATRY. ISSN 2588-6657, 2022, vol. 9, no. 2, p. 35-47. http://dx.doi.org/10.32598/shenakht.9.2.3

20. [3.1] TAHAN, A. – FARSI, A. The effect of mental and muscle fatigue on spatial working memory. In SHENAKHT JOURNAL OF PSYCHOLOGY AND PSYCHIATRY, 2022, vol. 9, no. 2, p. 35-47. http://dx.doi.org/10.32598/shenakht.9.2.35

 

• WITKOVSKÝ, Viktor. A note on computing extreme tail probabilities of the noncentral t-distribution with large noncentrality parameter. In Acta Universitatis Palackianae Olomucensis, Facultas Rerum Naturalium : Mathematica, 2013, vol. 52, no. 2, 131-143. ISSN 0231-9721.

Other citations: 1

1. [3.1] PAV, S.E. The Sharpe Ratio: Statistics and Applications. CRC Press, 2022, ISBN 9781032019307.

 

• WITKOVSKÝ, Viktor. On the Behrens-Fisher distribution and its generalization to the pairwise comparisons. In Discussiones Mathematicae : Probability and Statistics, 2002, vol. 22, p. 73-104. ISSN 1509-9423.

WOS citations: 1

1. [1.1] CHEN, C. – LI, Y. – LIANG, K. – DU, J. A test for the Behrens-Fisher problem based on the method of variance estimates recovery. In COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2022, ISSN 0361-0926; WOS

 

• WITKOVSKÝ, Viktor. On variance-covariance components estimation in linear models with AR(1) disturbances. In Acta Mathematica Universitatis Comenianae, 1996, vol. 65, p. 129-139. ISSN 0862-9544.

Other citations: 1

1. [3.1] PISANO, Z.M. Conjugate Bayesian analysis of compound-symmetric Gaussian models. In arXiv, 2022, https://doi.org/10.48550/arXiv.2212.13612.

 

Scientific papers in other domestic journals not registered in WOS or Scopus without IF (non-impacted)

 

• BAJLA, Ivan – HOLLÄNDER, I. – BURG, K. Improvement of electrophoretic gel image analysis. In Measurement Science Review, 2001, vol. 1, no. 1, p. 5-10. ISSN 1335-8871.

WOS citations: 2

1. [1.1] KHAN, M.S. – ULLAH, A. – KHAN, K.N. – RIAZ, H. – YOUSAFZAI, Y.M. – RAHMAN, T. – CHOWDHURY, M.E.H. – KASHEM, S.B. Deep Learning Assisted Automated Assessment of Thalassaemia from Haemoglobin Electrophoresis Images. In DIAGNOSTICS. OCT 2022, vol. 12, no. 10; WOS

2. [1.1] MANTYNIEMI, S. – LEHTONEN, E. – KOIVU, A. Synthetization, Distortion, and Geometric Correction of Isoelectric Focusing Gels for Newborn Screening. In IEEE ACCESS. ISSN 2169-3536, 2022, vol. 10, p. 93488-93501; WOS

 

• BARTKOVJAK, Jozef – KAROVIČOVÁ, Margarita. Approximation by rational functions. In Measurement Science Review, 2001, vol. 1, p. 63-65. ISSN 1335-8871.

WOS citations: 1; other citations: 1

1. [1.1] ZANG, X.H. – LI, B.M. – ZHAO, L.L. – YAN, D.D. – YANG, L.C. End-to-End Depression Recognition Based on a One-Dimensional Convolution Neural Network Model Using Two-Lead ECG Signal. In JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING. ISSN 1609-0985, APR 2022, vol. 42, no. 2, p. 225-233; WOS

2. [3.1] KLEVTSOV, S.I. Selection of the sensor conversion characteristic model for controlling the error in the measurement of physical quantities. In IZVESTIA UFU:TEHNIČESKIE NAUKI. ISSN 1999-9429, 2022, vol. 3, no. 227, p. 222-234. https://doi.org/10.18522/2311-3103-2022-3-222-234

 

• BARTL, Ján – FÍRA, R. – HAIN, Miroslav. Inspection of surface by the Moiré method. In Measurement Science Review, 2001, vol. 1, p. 29-32. ISSN 1335-8871.

WOS citations: 1

1. [1.1] MESSAGIER, M. – MEGUELLATI, S. – MAHGOUN, H. Fringe Pattern Denoising Using Two-Dimensional Variational Mode Decomposition (2D-VMD) Method for Inspection of Flatness of Reduced Surfaces. In EXPERIMENTAL TECHNIQUES, 2022, vol. 46, no. 1, p. 27-41. ISSN 0732-8818. https://doi.org/10.1007/s40799-021-00459-z; WOS

 

• BARTL, Ján – BARÁNEK, Martin. Emissivity of aluminium and its importance for radiometric measurement. In Measurement Science Review, 2004, vol. 4, sec. 3, p. 31-36. ISSN 1335-8871.

WOS citations: 4

1. [1.1] BEKTAS, B.S. – SAMTAS, G. Optimisation of cutting parameters in face milling of cryogenic treated 6061 aluminium alloy and effects on surface roughness, wear, and cutting temperatures. In SURFACE TOPOGRAPHY-METROLOGY AND PROPERTIES. ISSN 2051-672X, JUN 1 2022, vol. 10, no. 2. https://doi.org/10.1088/2051-672X/ac6c40; WOS

2. [1.1] GROHOL, C.M. – SHIN, Y.C. – FRANK, A. Laser cladding of aluminum alloys with concurrent cryogenic quenching for improved microstructure and hardness. In SURFACE & COATINGS TECHNOLOGY. ISSN 0257-8972, JUN 15 2022, vol. 439. https://doi.org/10.1016/j.surfcoat.2022.128460; WOS

3. [1.1] HOSSAIN, M.A. Camouflage Assessment of Aluminium Coated Textiles for Woodland and Desertland Combat Background in Visible and Infrared Spectrum under UV-Vis-IR Background Illumination. In DEFENCE SCIENCE JOURNAL. ISSN 0011-748X, MAY 2022, vol. 72, no. 3, p. 359-370. https://doi.org/10.14429/dsj.72.17731; WOS

4. [1.1] VALLON, M. – GAO, L.Y. – JIANG, F. – KRUMM, B. – NADOLNY, J. – SONG, J.W. – LEISNER, T. – SAATHOFF, H. LED-based solar simulator to study photochemistry over a wide temperature range in the large simulation chamber AIDA. In ATMOSPHERIC MEASUREMENT TECHNIQUES. ISSN 1867-1381, MAR 25 2022, vol. 15, no. 6, p. 1795-1810. https://doi.org/10.5194/amt-15-1795-2022; WOS

 

• FROLLO, Ivan – ANDRIS, Peter – STROLKA, Igor. Measuring method and magnetic field homogeneity optimisation for magnets used in NMR-imaging. In Measurement Science Review, 2001, vol. 1, p. 9-12. ISSN 1335-8871.

SCOPUS citations: 1

1. [1.2] QU, H. – LIU, X. – WANG, H. – LIU, J. – WANG, Q. Improved Strategy and Experimental Research on Passive Shimming in Magnetic Resonance Imaging Magnet. In DIANGONG JISHU XUEBAO/TRANSACTIONS OF CHINA ELECTROTECHNICAL SOCIETY, 2022, vol. 37, no. 24, p. 6284-6293. ISSN 1000-6753. https://doi.org/10.19595/j.cnki.1000-6753.tces.211698; SCOPUS

 

• HAIN, Miroslav – BARTL, Ján – JACKO, Vlado. Multispectral analysis of cultural heritage artefacts. In Measurement Science Review, 2003, vol. 3, p. 9-12. ISSN 1335-8871.

WOS citations: 2; SCOPUS citations: 1

1. [1.1] GUO, H. – OKURA, F. – SHI, B.X. – FUNATOMI, T. – MUKAIGAWA, Y. – MATSUSHITA, Y. Multispectral Photometric Stereo for Spatially-Varying Spectral Reflectances. In INTERNATIONAL JOURNAL OF COMPUTER VISION. ISSN 0920-5691, SEP 2022, vol. 130, no. 9, p. 2166-2183. https://doi.org/10.1007/s11263-022-01634-4; WOS

2. [1.1] RAMADAN, S. – MAHGOUB, G. – ELHAGRASSY, A.F. – ABDEL-AZIZ, M.S. – MERTAH, E. Investigation and Characterization of two Painted Limestone Stelae, Egyptian Museum, Cairo, Egypt. In EGYPTIAN JOURNAL OF CHEMISTRY. ISSN 0449-2285, AUG 2022, vol. 65, no. 8, p. 89-102. https://doi.org/10.21608/ejchem.2022.102211.4747; WOS

3. [1.2] VIGORELLI, L. – RE, A. – GUIDORZI, L. – CAVALERI, T. – BUSCAGLIA, P. – NERVO, M. – VESCO, P.D. – BORLA, M. – GRASSINI, S. – GIUDICE, A.L. Multi-analytical approach for the study of an ancient Egyptian wooden statuette from the collection of Museo Egizio of Torino. In ACTA IMEKO, 2022, vol. 11, no. 1. ISSN 0237-028X. https://doi.org/10.21014/acta_imeko.v11i1.1089; SCOPUS

 

• HAIN, Miroslav – BARTL, Ján – JACKO, Vlado. The use of infrared radiation in measurement and non-destructive testing. In Measurement Science Review, 2005, vol. 5, p. 10-14. ISSN 1335-8871.

WOS citations: 1

1. [1.1] ZHENG, Z.H. – LIU, B.M. – ZHOU, Z. – MA, C.G. – WANG, J. A simple and generic post-treatment strategy for highly efficient Cr3+-activated broadband NIR emitting phosphors for high-power NIR light sources. In JOURNAL OF MATERIALS CHEMISTRY C. ISSN 2050-7526, JUN 9 2022, vol. 10, no. 22, p. 8797-8805. https://doi.org/10.1039/d2tc01242a; WOS

 

• ŠUŠMÁKOVÁ, Kristína – KRAKOVSKÁ, Anna. Classification of waking, sleep onset and deep sleep by single measures. In Measurement Science Review, 2007, vol. 7, no. 3, p. 34-38. ISSN 1335-8871.

Other citations: 1

1. [3.1] MOLINA, G.N.G. System and method for determining sleep stage based on sleep cycle. In US Patent US11344253B2, 2022, https://patents.google.com/patent/US11344253B2/en.

 

• ŠUŠMÁKOVÁ, Kristína. Human sleep and sleep EEG. In Measurement Science Review, 2004, vol. 4, p. 59-74. ISSN 1335-8871.

WOS citations: 2; SCOPUS citations: 1; other citations: 2

1. [1.1] MATOS, J. – PERALTA, G. – HEYSE, J. – MENETRE, E. – SEECK, M. – VAN MIERLO, P. Diagnosis of Epilepsy with Functional Connectivity in EEG after a Suspected First Seizure. In BIOENGINEERING-BASEL. NOV 2022, vol. 9, no. 11. https://doi.org/10.3390/bioengineering9110690; WOS

2. [1.1] VANHOLLEBEKE, G. – DE SMET, S. – DE RAEDT, R. – BAEKEN, C. – VAN MIERLO, P. – VANDERHASSELT, M.A. The neural correlates of psychosocial stress: A systematic review and meta-analysis of spectral analysis EEG studies. In NEUROBIOLOGY OF STRESS. ISSN 2352-2895, MAY 2022, vol. 18. https://doi.org/10.1016/j.ynstr.2022.100452; WOS

3. [1.2] TUNCEL, Y. – KRISHNAKUMAR, A. – CHITHRA, A.L. – KIM, Y. – OGRAS, U. A Domain-Specific System-On-Chip Design for Energy Efficient Wearable Edge AI Applications. In INTERNATIONAL SYMPOSIUM ON LOW POWER ELECTRONICS AND DESIGN, 2022, p. ISSN 1533-4678. https://doi.org/10.1145/3531437.3539711; SCOPUS

4. [3.1] BULUT, A. – OZTURK, G. – KAYA, I. Classification of Sleep Stages via Machine Learning Algorithms. In JOURNAL OF INTELLIGENT SYSTEMS WITH APPLICATIONS, 2022, vol. 5, no. 1, p. 66-67. https://doi.org/10.54856/jiswa.202205210

5. [3.1] KAYA, I. EEG Based Automatic Sleep Staging via Simple 2D-Convolutional Neural Network. In GAZI JOURNAL OF ENGINEERING SCIENCES, 2022, vol. 8, no. 3, p. 491-498. https://dergipark.org.tr/en/pub/gmbd/issue/74892/1048332

 

• RUBLÍK, František. On rank based multiple comparisons for the balanced sample sizes. In Measurement Science Review, 2005, vol. 5, p. 23-26. ISSN 1335-8871.

WOS citations: 1; other citations: 1

1. [1.1] LINEWEAVER, T.T. – BERGESON, T.R. – WARD, M.J. – HAGEN, N.A. – LADD, K. – JOHNSON, H. – BRAID, D. – OTT, M. – HAY, D.P. – PLEWES, J. – HINDS, M. – LAPRADD, M.L. – BOLANDER, H. – VITELLI, S. – LAIN, M. – BRIMMER, T. Nursing Home Residents’ Positive Behavioral Responses to Individualized Music Predict Improvements in Sundowning Symptoms After Music Listening. In JOURNAL OF AGING AND HEALTH. ISSN 0898-2643, OCT 2022, vol. 34, no. 6-8, p. 1037-1047. https://doi.org/10.1177/08982643221087569; WOS

2. [3.1] LIMA, L.F.B. – IGARASHI, D.C.C. Human capital competences on distance education: resource-based view study. In CONGRESSO INTERNACIONAL DE ADMINISTRAÇÃO, 2022. https://admpg.com.br/2022/anais/arquivos/08112022_090855_62f4f82338633.pdf

 

• STEIN, G.J. – CHMÚRNY, R. – ROSÍK, Vladimír. Measurement and Analysis of Low Frequency Vibration. In Measurement Science Review, 2007, vol. 7, p. 47-50. ISSN 1335-8871.

WOS citations: 2

1. [1.1] MUCKA, P. New Transverse Unevenness Indexes of the Road Profile. In JOURNAL OF TRANSPORTATION ENGINEERING PART B-PAVEMENTS, 2022, vol. 148, no. 3. https://doi.org/10.1061/JPEODX.0000387; WOS

2. [1.1] MUCKA, P. Probability density function of whole-body vibration in passenger car. In PROBABILISTIC ENGINEERING MECHANICS, 2022, vol. 69. ISSN 0266-8920. https://doi.org/10.1016/j.probengmech.2022.103311; WOS

 

• ŠTOLC, Svorad – KRAKOVSKÁ, Anna – TEPLAN, Michal. Audiovisual stimulation of human brain: Linear and nonlinear measures. In Measurement Science Review, 2003, vol. 3, p. 95-98. ISSN 1335-8871.

WOS citations: 1

1. [1.1] ZAKARIA, H. – AMALIA, A.R. – HADIYOSO, S. – ASHADI, M.F.R. Cognitive Measurement in Vascular Dementia Patients with Prefrontal Cortex Activation Analysis. In INTERNATIONAL JOURNAL OF TECHNOLOGY. ISSN 2086-9614, DEC 30 2022, vol. 13, no. 8, p. 1681-1691. https://doi.org/10.14716/ijtech.v13i8.6142; WOS

 

• TEPLAN, Michal – KRAKOVSKÁ, Anna – ŠTOLC, Svorad. Short-term effects of audio-visual stimulation on EEG. In Measurement Science Review, 2006, vol. 6, no. 4, p. 67-70. ISSN 1335-8871.

WOS citations: 1

1. [1.1] BASU, S. – BANERJEE, B. Potential of binaural beats intervention for improving memory and attention: insights from meta-analysis and systematic review. In PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG, 2022. ISSN 0340-0727. https://doi.org/10.1007/s00426-022-01706-7; WOS

 

• TEPLAN, Michal. Fundamentals of EEG measurement. In Measurement Science Review, 2002, vol. 2, p. 1-11. ISSN 1335-8871.

WOS citations: 100; SCOPUS citations: 39; other citations: 25

1. [1.1] ABBAS, R. – AMRAN, G.A. – MOHSAN, S.A.H. – ALSHARIF, M.H. – JAHID, A. – MAREY, M. – MOSTAFA, H. ISUC: IoT-Based Services for the User’;s Comfort. In ELECTRONICS. SEP 2022, vol. 11, no. 18. https://doi.org/10.3390/electronics11182908; WOS

2. [1.1] ABIDI, A. – NOUIRA, I. – ASSALI, I. – SAAFI, M.A. – BEDOUI, M.H. Hybrid Multi-Channel EEG Filtering Method for Ocular and Muscular Artifact Removal Based on the 3D Spline Interpolation Technique. In COMPUTER JOURNAL. ISSN 0010-4620, MAY 17 2022, vol. 65, no. 5, p. 1257-1271. https://doi.org/10.1093/comjnl/bxaa175; WOS

3. [1.1] AFFANNI, A. – NAJAFI, T.A. – GUERCI, S. Development of an EEG Headband for Stress Measurement on Driving Simulators. In SENSORS. MAR 2022, vol. 22, no. 5. https://doi.org/10.3390/s22051785; WOS

4. [1.1] AK, A. – TOPUZ, V. – MIDI, I. Motor imagery EEG signal classification using image processing technique over GoogLeNet deep learning algorithm for controlling the robot manipulator. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, FEB 2022, vol. 72, A. https://doi.org/10.1016/j.bspc.2021.103295; WOS

5. [1.1] AL-SHAMMARI, M.K.M. – GAO, T.H. – MOHAMMED, R.K. – ZHOU, S. Attention enhancement system for college students with brain biofeedback signals based on virtual reality. In MULTIMEDIA TOOLS AND APPLICATIONS. ISSN 1380-7501, JUN 2022, vol. 81, no. 14, p. 19097-19112. https://doi.org/10.1007/s11042-020-10159-2; WOS

6. [1.1] ALMANZA-CONEJO, O. – ALMANZA-OJEDA, D.L. – CONTRERAS-HERNANDEZ, J.L. – IBARRA-MANZANO, M.A. Emotion Recognition Using Time-Frequency Distribution and GLCM Features from EEG Signals. In PATTERN RECOGNITION, MCPR 2022. ISSN 0302-9743, 2022, vol. 13264, p. 201-211. https://doi.org/10.1007/978-3-031-07750-0_19; WOS

7. [1.1] ALTINTOP, C.G. – LATIFOGLU, F. – AKIN, A.K. – BAYRAM, A. – CIFTCI, M. Classification of Depth of Coma Using Complexity Measures and Nonlinear Features of Electroencephalogram Signals. In INTERNATIONAL JOURNAL OF NEURAL SYSTEMS. ISSN 0129-0657, MAY 2022, vol. 32, no. 05. https://doi.org/10.1142/S0129065722500186; WOS

8. [1.1] ALTINTOP, C.G. – LATIFOGLU, F. – AKIN, A.K. – CETIN, B. A novel approach for detection of consciousness level in comatose patients from EEG signals with 1-D convolutional neural network. In BIOCYBERNETICS AND BIOMEDICAL ENGINEERING. ISSN 0208-5216, JAN-MAR 2022, vol. 42, no. 1, p. 16-26. https://doi.org/10.1016/j.bbe.2021.11.003; WOS

9. [1.1] ALVES, D.R.D. – TEIXEIRA, O.N. – SILVA, C.D. Feature Weighting on EEG Signal by Artificial Bee Colony for Classification of Motor Imaginary Tasks. In ADVANCES IN SWARM INTELLIGENCE, ICSI 2022, PT II. ISSN 0302-9743, 2022, p. 301-310. https://doi.org/10.1007/978-3-031-09726-3_27; WOS

10. [1.1] ANBARASAN, R. – CARMONA, D.G. – MAHENDRAN, R. Human Taste-Perception: Brain Computer Interface (BCI) and Its Application as an Engineering Tool for Taste-Driven Sensory Studies. In FOOD ENGINEERING REVIEWS. ISSN 1866-7910, SEP 2022, vol. 14, no. 3, p. 408-434. https://doi.org/10.1007/s12393-022-09308-0; WOS

11. [1.1] ANDERS, C. – ARNRICH, B. Wearable electroencephalography and multi-modal mental state classification: A systematic literature review. In COMPUTERS IN BIOLOGY AND MEDICINE. ISSN 0010-4825, NOV 2022, vol. 150. https://doi.org/10.1016/j.compbiomed.2022.106088; WOS

12. [1.1] ARAKI, T. – YOSHIMOTO, S. – UEMURA, T. – MIYAZAKI, A. – KURIHIRA, N. – KASAI, Y. – HARADA, Y. – NEZU, T. – IIDA, H. – SANDBROOK, J. – IZUMI, S. – SEKITANI, T. Skin-Like Transparent Sensor Sheet for Remote Healthcare Using Electroencephalography and Photoplethysmography. In ADVANCED MATERIALS TECHNOLOGIES. ISSN 2365-709X, NOV 2022, vol. 7, no. 11. https://doi.org/10.1002/admt.202200362; WOS

13. [1.1] ARPAIA, P. – COYLE, D. – DONNARUMMA, F. – ESPOSITO, A. – NATALIZIO, A. – PARVIS, M. – PESOLA, M. – VALLEFUOCO, E. Multimodal feedback in assisting a wearable brain-computer interface based on motor imagery. In 2022 IEEE INTERNATIONAL CONFERENCE ON METROLOGY FOR EXTENDED REALITY, ARTIFICIAL INTELLIGENCE AND NEURAL ENGINEERING (METROXRAINE). 2022, p. 691-696. https://doi.org/10.1109/MetroXRAINE54828.2022.9967501; WOS

14. [1.1] ARPAIA, P. – COYLE, D. – DONNARUMMA, F. – ESPOSITO, A. – NATALIZIO, A. – PARVIS, M. Non-immersive Versus Immersive Extended Reality for Motor Imagery Neurofeedback Within a Brain-Computer Interfaces. In EXTENDED REALITY, XR SALENTO 2022, PT II. ISSN 0302-9743, 2022, vol. 13446, p. 407-419. https://doi.org/10.1007/978-3-031-15553-6_28; WOS

15. [1.1] ARPAIA, P. – ESPOSITO, A. – NATALIZIO, A. – PARVIS, M. How to successfully classify EEG in motor imagery BCI: a metrological analysis of the state of the art. In JOURNAL OF NEURAL ENGINEERING, 2022, vol. 19, no. 3. ISSN 1741-2560. https://doi.org/10.1088/1741-2552/ac74e0; WOS

16. [1.1] ASAYESH, A. – ILEN, E. – METSARANTA, M. – VANHATALO, S. Developing Disposable EEG Cap for Infant Recordings at the Neonatal Intensive Care Unit. In SENSORS. OCT 2022, vol. 22, no. 20. https://doi.org/10.3390/s22207869; WOS

17. [1.1] ATTAR, E.T. Review of electroencephalography signals approaches for mental stress assessment. In NEUROSCIENCES. ISSN 1319-6138, OCT 2022, vol. 27, no. 4, p. 209-215. https://doi.org/10.17712/nsj.2022.4.20220025; WOS

18. [1.1] ATZENI, G. – GUICHEMERRE, J. – NOVELLO, A. – JANG, T. A 1.01 NEF Low-Noise Amplifier Using Complementary Parametric Amplification. In IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS. ISSN 1549-8328, MAR 2022, vol. 69, no. 3, p. 1065-1076. https://doi.org/10.1109/TCSI.2021.3128811; WOS

19. [1.1] BALDASSINI, M. – PISTOLESI, F. – LAZZERINI, B. Detecting happiness from 14-channel binary-valued EEG charts via deep learning. In 2022 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA (ISM). 2022, p. 66-73. https://doi.org/10.1109/ISM55400.2022.00015; WOS

20. [1.1] BARKANA, B.D. – OZKAN, Y. – BADARA, J.A. Analysis of working memory from EEG signals under different emotional states. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, JAN 2022, vol. 71, B. https://doi.org/10.1016/j.bspc.2021.103249; WOS

21. [1.1] BETTUCCI, O. – MATRONE, G.M. – SANTORO, F. Conductive Polymer-Based Bioelectronic Platforms toward Sustainable and Biointegrated Devices: A Journey from Skin to Brain across Human Body Interfaces. In ADVANCED MATERIALS TECHNOLOGIES, 2022, vol. 7, no. 2, p. ISSN 2365-709X. https://doi.org/10.1002/admt.202100293; WOS

22. [1.1] BHUIYAN, M.H.U. – FARD, M. – ROBINSON, S.R. Effects of whole-body vibration on driver drowsiness: A review. In JOURNAL OF SAFETY RESEARCH. ISSN 0022-4375, JUN 2022, vol. 81, p. 175-189. https://doi.org/10.1016/j.jsr.2022.02.009; WOS

23. [1.1] BIN DAWOOD, A. – DICKINSON, A. – AYTEMUR, A. – MILNE, E. – JONES, M. No effects of transcranial direct current stimulation on visual evoked potential and peak gamma frequency. In COGNITIVE PROCESSING. ISSN 1612-4782, MAY 2022, vol. 23, no. 2, p. 235-254. https://doi.org/10.1007/s10339-022-01076-3; WOS

24. [1.1] BLIGNAUT, J. – VAN DEN HEEVER, D. Prevalence of a Late Readiness Potential During a Deliberate Decision-Making Task. In BRAIN-BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE. ISSN 2067-3957, JUN 2022, vol. 13, no. 2, p. 382-402. https://doi.org/10.18662/brain/13.2/349; WOS

25. [1.1] BO, J. – ACLUCHE, F. – LASUTSCHINKOW, P.C. – AUGUSTINIAK, A. – DITCHFIELD, N. – LAJINESS-O’;NEILL, R. Motor networks in children with autism spectrum disorder: a systematic review on EEG studies. In EXPERIMENTAL BRAIN RESEARCH. ISSN 0014-4819, DEC 2022, vol. 240, no. 12, p. 3073-3087. https://doi.org/10.1007/s00221-022-06483-8; WOS

26. [1.1] BODDETI, U. – MCAFEE, D. – KHAN, A. – BACHANI, M. – KSENDZOVSKY, A. Responsive Neurostimulation for Seizure Control: Current Status and Future Directions. In BIOMEDICINES. NOV 2022, vol. 10, no. 11. https://doi.org/10.3390/biomedicines10112677; WOS

27. [1.1] CAMILLERI, A. – PORTER, C. – CAMILLERI, T. Boggle: An SSVEP-Based BCI Web Browser. In COMPUTER-HUMAN INTERACTION RESEARCH AND APPLICATIONS, CHIRA 2020. ISSN 1865-0929, 2022, vol. 1609, p. 100-123. https://doi.org/10.1007/978-3-031-22015-9_6; WOS

28. [1.1] CANO, S. – SOTO, J. – ACOSTA, L. – PENENORY, V.M. – MOREIRA, F. Using Brain Computer Interface to evaluate the User eXperience in interactive systems. In COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION, 2022. ISSN 2168-1163. https://doi.org/10.1080/21681163.2022.2072398; WOS

29. [1.1] CHACON-MURGUIA, M. – RIVAS-POSADA, E. A CNN-based modular classification scheme for motor imagery using a novel EEG sampling protocol suitable for IoT healthcare systems. In NEURAL COMPUTING & APPLICATIONS, 2022. ISSN 0941-0643. https://doi.org/10.1007/s00521-021-06716-x; WOS

30. [1.1] CHANG, H.L. – ZONG, Y. – ZHENG, W.M. – TANG, C.G. – ZHU, J. – LI, X.J. Depression Assessment Method: An EEG Emotion Recognition Framework Based on Spatiotemporal Neural Network. In FRONTIERS IN PSYCHIATRY. ISSN 1664-0640, MAR 15 2022, vol. 12. https://doi.org/10.3389/fpsyt.2021.837149; WOS

31. [1.1] CHENG, B.Q. – FAN, C.J. – FU, H.L. – HUANG, J.L. – CHEN, H.H. – LUO, X.W. Measuring and Computing Cognitive Statuses of Construction Workers Based on Electroencephalogram: A Critical Review. In IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS. ISSN 2329-924X, DEC 2022, vol. 9, no. 6, p. 1644-1659. https://doi.org/10.1109/TCSS.2022.3158585; WOS

32. [1.1] COONEY, C. – FOLLI, R. – COYLE, D. A Bimodal Deep Learning Architecture for EEG-fNIRS Decoding of Overt and Imagined Speech. In IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. ISSN 0018-9294, JUN 2022, vol. 69, no. 6, p. 1983-1994. https://doi.org/10.1109/TBME.2021.3132861; WOS

33. [1.1] DAVIS, K.C. – MESCHEDE-KRASA, B. – CAJIGAS, I. – PRINS, N.W. – ALVER, C. – GALLO, S. – BHATIA, S. – ABEL, J.H. – NAEEM, J.A. – FISHER, L. – RAZA, F. – RIFAI, W.R. – MORRISON, M. – IVAN, M.E. – BROWN, E.N. – JAGID, J.R. – PRASAD, A. Design-development of an at-home modular brain-computer interface (BCI) platform in a case study of cervical spinal cord injury. In JOURNAL OF NEUROENGINEERING AND REHABILITATION. JUN 3 2022, vol. 19, no. 1. https://doi.org/10.1186/s12984-022-01026-2; WOS

34. [1.1] DIDDI, S.V.S. – KO, L.W. Course-Grained Multi-scale EMD Based Fuzzy Entropy for Multi-target Classification During Simultaneous SSVEP-RSVP Hybrid BCI Paradigm. In INTERNATIONAL JOURNAL OF FUZZY SYSTEMS. ISSN 1562-2479, JUL 2022, vol. 24, no. 5, SI, p. 2157-2173. https://doi.org/10.1007/s40815-022-01268-1; WOS

35. [1.1] DING, X.W. – LIU, Z.T. – LI, D.Y. – HE, Y. – WU, M. Electroencephalogram Emotion Recognition Based on Dispersion Entropy Feature Extraction Using Random Oversampling Imbalanced Data Processing. In IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS. ISSN 2379-8920, SEP 2022, vol. 14, no. 3, p. 882-891. https://doi.org/10.1109/TCDS.2021.3074811; WOS

36. [1.1] DONG, Y. – QIN, S.J. – BOYD, S.P. Extracting a low-dimensional predictable time series. In OPTIMIZATION AND ENGINEERING, 2022, vol. 23, no. 2, p. 1189-1214. ISSN 1389-4420. https://doi.org/10.1007/s11081-021-09643-x; WOS

37. [1.1] DOS SANTOS, M.A. – DUQUE, C.G. Use of linguistic signified to support information communication. In RDBCI-REVISTA DIGITAL DE BIBLIOTECONOMIA E CIENCIA DA INFORMACAO, 2022, vol. 20. https://doi.org/10.20396/rdbci.v20i00.8668196; WOS

38. [1.1] DYBALL, A. – XU RATTANASONE, N. – IBRAHIM, R. – SHARMA, M. Alpha synchronisation of acoustic responses in active listening is indicative of native language listening experience. In INTERNATIONAL JOURNAL OF AUDIOLOGY, 2022, vol. 61, no. 6, p. 490-499. ISSN 1499-2027. https://doi.org/10.1080/14992027.2021.1941326; WOS

39. [1.1] ELLMORE, T.M. – PLASKA, C.R. – NG, K. – MEI, N. Visual continuous recognition reveals behavioral and neural differences for short- and long-term scene memory. In FRONTIERS IN BEHAVIORAL NEUROSCIENCE. ISSN 1662-5153, SEP 15 2022, vol. 16. https://doi.org/10.3389/fnbeh.2022.958609; WOS

40. [1.1] FAROOQ, M. – AMIN, B. – KRASNY, M.J. – ELAHI, A. – REHMAN, M.R.U. – WIJNS, W. – SHAHZAD, A. An Ex Vivo Study of Wireless Linkage Distance between Implantable LC Resonance Sensor and External Readout Coil. In SENSORS. NOV 2022, vol. 22, no. 21. https://doi.org/10.3390/s22218402; WOS

41. [1.1] FENG, C.Y. – LIU, S. – WANYAN, X.R. – CHEN, H. – MIN, Y.C. – MA, Y.L. EEG Feature Analysis Related to Situation Awareness Assessment and Discrimination. In AEROSPACE. OCT 2022, vol. 9, no. 10. https://doi.org/10.3390/aerospace9100546; WOS

42. [1.1] GALLIANI, M. – FERRARI, L.M. – ISMAILOVA, E. Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment. In JOVE-JOURNAL OF VISUALIZED EXPERIMENTS. ISSN 1940-087X, JUL 2022, no. 185. https://doi.org/10.3791/63204; WOS

43. [1.1] GANTENBEIN, J. – DITTLI, J. – MEYER, J.T. – GASSERT, R. – LAMBERCY, O. Intention Detection Strategies for Robotic Upper-Limb Orthoses: A Scoping Review Considering Usability, Daily Life Application, and User Evaluation. In FRONTIERS IN NEUROROBOTICS. ISSN 1662-5218, FEB 21 2022, vol. 16. https://doi.org/10.3389/fnbot.2022.815693; WOS

44. [1.1] GHOSH, A. – SAHA, S. Suppression of positive emotions during pandemic era: a deep learning framework for rehabilitation. In INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL. ISSN 1746-6172, 2022, vol. 41, no. 1-2, p. 143-154. https://doi.org/10.1504/IJMIC.2022.127101; WOS

45. [1.1] GORJAN, D. – GRAMANN, K. – DE PAUW, K. – MARUSIC, U. Removal of movement-induced EEG artifacts: current state of the art and guidelines. In JOURNAL OF NEURAL ENGINEERING. ISSN 1741-2560, FEB 1 2022, vol. 19, no. 1. https://doi.org/10.1088/1741-2552/ac542c; WOS

46. [1.1] HAMORI, G. – RADOSI, A. – PASZTHY, B. – RETHELYI, J.M. – ULBERT, I. – FIATH, R. – BUNFORD, N. Reliability of reward ERPs in middle-late adolescents using a custom and a standardized preprocessing pipeline. In PSYCHOPHYSIOLOGY, 2022, vol. 59, no. 8, p. e14043. ISSN 0048-5772. https://doi.org/10.1111/psyp.14043; WOS

47. [1.1] HANSEN, M.B.L. – PETERSEN, K. – OSTERGAARD, S.B. – NIELSEN, T.K. – JENSEN, N.G.K. – MRACHACZ-KERSTING, N. – OLIVEIRA, A.S. Retention following a short-term cup stacking training: Performance and electrocortical activity. In SCIENCE & SPORTS. ISSN 0765-1597, DEC 2022, vol. 37, no. 8. https://doi.org/10.1016/j.scispo.2021.12.002; WOS

48. [1.1] HOUSSEIN, E.H. – HAMMAD, A. – ALI, A.A. Human emotion recognition from EEG-based brain-computer interface using machine learning: a comprehensive review. In NEURAL COMPUTING & APPLICATIONS. ISSN 0941-0643, AUG 2022, vol. 34, no. 15, SI, p. 12527-12557. https://doi.org/10.1007/s00521-022-07292-4; WOS

49. [1.1] JEONG, J.W. – YANG, B.I. – SONG, B.K. A Comparative Study of 5 Hz Repetitive Transcranial Magnetic Stimulation on Cortical Activity and Upper Limb Function in Chronic Stroke Patients with Different Stroke Etiologies: A Case Study. In JOURNAL OF MAGNETICS. ISSN 1226-1750, DEC 2022, vol. 27, no. 4, p. 506-513. https://doi.org/10.4283/JMAG.2022.27.4.506; WOS

50. [1.1] JIANG, G.Y. – CHEN, H. – WANG, C.Y. – XUE, P.X. Mental Workload Artificial Intelligence Assessment of Pilots’; EEG Based on Multi-Dimensional Data Fusion and LSTM with Attention Mechanism Model. In INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE. ISSN 0218-0014, SEP 15 2022, vol. 36, no. 11. https://doi.org/10.1142/S0218001422590352; WOS

51. [1.1] KANG, J.M. – CHO, S.E. – MOON, J.Y. – KIM, S.I. – KIM, J.W. – KANG, S.G. Difference in spectral power density of sleep electroencephalography between individuals without insomnia and frequent hypnotic users with insomnia complaints. In SCIENTIFIC REPORTS. ISSN 2045-2322, FEB 8 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-05378-6; WOS

52. [1.1] KIM, J. – JIANG, X.Y. – FORENZO, D. – LIU, Y.X. – ANDERSON, N. – GRECO, C.M. – HE, B. Immediate effects of short-term meditation on sensorimotor rhythm-based brain-computer interface performance. In FRONTIERS IN HUMAN NEUROSCIENCE. ISSN 1662-5161, DEC 20 2022, vol. 16. https://doi.org/10.3389/fnhum.2022.1019279; WOS

53. [1.1] KIM, M. – YOO, S. – KIM, C. Miniaturization for wearable EEG systems: recording hardware and data processing. In BIOMEDICAL ENGINEERING LETTERS. ISSN 2093-9868, AUG 2022, vol. 12, no. 3, SI, p. 239-250. https://doi.org/10.1007/s13534-022-00232-0; WOS

54. [1.1] KWON, K. – KWON, S. – YEO, W.H. Automatic and Accurate Sleep Stage Classification via a Convolutional Deep Neural Network and Nanomembrane Electrodes. In BIOSENSORS-BASEL. MAR 2022, vol. 12, no. 3. https://doi.org/10.3390/bios12030155; WOS

55. [1.1] LEE, D.H. – PARK, T. – YOO, H. Biodegradable Polymer Composites for Electrophysiological Signal Sensing. In POLYMERS. JUL 2022, vol. 14, no. 14. https://doi.org/10.3390/polym14142875; WOS

56. [1.1] LEE, G. – LEE, S. Feasibility of a Mobile Electroencephalogram (EEG) Sensor-Based Stress Type Classification for Construction Workers. In CONSTRUCTION RESEARCH CONGRESS 2022: HEALTH AND SAFETY, WORKFORCE, AND EDUCATION. 2022, p. 324-334; WOS

57. [1.1] LI, P.D. – SOFUOGLU, S.E. – AVIYENTE, S. – MAITI, T. Coupled support tensor machine classification for multimodal neuroimaging data. In STATISTICAL ANALYSIS AND DATA MINING. ISSN 1932-1864, DEC 2022, vol. 15, no. 6, p. 797-818. https://doi.org/10.1002/sam.11587; WOS

58. [1.1] LI, Y.P. – SHEN, L.L. – SUN, M.Y. Electroencephalography Study of Frontal Lobe Evoked by Dynamic Random-Dot Stereogram. In INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. ISSN 0146-0404, MAY 2022, vol. 63, no. 5. https://doi.org/10.1167/iovs.63.5.7; WOS

59. [1.1] LIAO, Y.-C. – GUO, N.-W. – SU, B.-Y. – CHEN, S.-J. – TSAI, H.-F. Effects of Twenty Hours of Neurofeedback-Based Neuropsychotherapy on the Executive Functions and Achievements among ADHD Children. In CLINICAL EEG AND NEUROSCIENCE, 2022, vol. 53, no. 5, p. 387-398. ISSN 1550-0594. https://doi.org/10.1177/15500594221101693; WOS

60. [1.1] LU, L. – XIE, Z.Y. – WANG, H.W. – LI, L. – XU, X. Mental stress and safety awareness during human-robot collaboration – Review. In APPLIED ERGONOMICS. ISSN 0003-6870, NOV 2022, vol. 105. https://doi.org/10.1016/j.apergo.2022.103832; WOS

61. [1.1] LU, Y.H. – YANG, R.Y. – DAI, Y. – YUAN, D.Y. – YU, X.T. – LIU, C. – FENG, L.X. – SHEN, R.J. – WANG, C. – DAI, S.Y. – GE, Q. – LIN, S.S. Infrared Radiation of Graphene Electrothermal Film Triggered Alpha and Theta Brainwaves. In SMALL SCIENCE. ISSN 2688-4046, DEC 2022, vol. 2, no. 12. https://doi.org/10.1002/smsc.202200064; WOS

62. [1.1] MANSHOURI, N. – MELEK, M. – KAYIKCIOGLU, T. Detection of 2D and 3D Video Transitions Based on EEG Power. In COMPUTER JOURNAL. ISSN 0010-4620, FEB 2022, vol. 65, no. 2, p. 396-409. https://doi.org/10.1093/comjnl/bxaa116; WOS

63. [1.1] MENDONCA, F. – FRED, A. – MOSTAFA, S.S. – MORGADO-DIAS, F. – RAVELO-GARCIA, A.G. Automatic detection of cyclic alternating pattern. In NEURAL COMPUTING & APPLICATIONS. ISSN 0941-0643, JUL 2022, vol. 34, no. 13, SI, p. 11097-11107. https://doi.org/10.1007/s00521-018-3474-5; WOS

64. [1.1] MIR, M. – NASIRZADEH, F. – BEREZNICKI, H. – ENTICOTT, P. – LEE, S.H.Y. Investigating the effects of different levels and types of construction noise on emotions using EEG data. In BUILDING AND ENVIRONMENT. ISSN 0360-1323, NOV 2022, vol. 225. https://doi.org/10.1016/j.buildenv.2022.109619; WOS

65. [1.1] MURTAZINA, M. – AVDEENKO, T. Feature Selection for EEG Data Classification with Weka. In ADVANCES IN SWARM INTELLIGENCE, ICSI 2022, PT II. ISSN 0302-9743, 2022, p. 279-288. https://doi.org/10.1007/978-3-031-09726-3_25; WOS

66. [1.1] NAMAZIFARD, S. – DARU, R.R. – TIGHE, K. – SUBBARAO, K. – ADNAN, A. Method for Identification of Multiple Low-Voltage Signal Sources Transmitted Through a Conductive Medium. In IEEE ACCESS. ISSN 2169-3536, 2022, vol. 10, p. 124154-124166. https://doi.org/10.1109/ACCESS.2022.3223354; WOS

67. [1.1] NATARAJ, S.K. – AL-TURJMAN, F. – SITHARTHAN, R. – RAJESH, M. – KUMAR, R. – BIN ADOM, M.I.A.H. Intelligent Robotic Chair With Thought Control and Communication Aid Using Higher Order Spectra Band Features. In IEEE SENSORS JOURNAL. ISSN 1530-437X, SEP 15 2022, vol. 22, no. 18, p. 17362-17369. https://doi.org/10.1109/JSEN.2020.3020971; WOS

68. [1.1] NIU, H.B. – ZHAI, Y.N. – HUANG, Y.Q. – WANG, X.L. – WANG, X.T. Investigating the short-term cognitive abilities under local strong thermal radiation through EEG measurement. In BUILDING AND ENVIRONMENT. ISSN 0360-1323, OCT 2022, vol. 224. https://doi.org/10.1016/j.buildenv.2022.109567; WOS

69. [1.1] ORHANBULUCU, F. – LATIFOGLU, F. Detection of amyotrophic lateral sclerosis disease from event-related potentials using variational mode decomposition method. In COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING. ISSN 1025-5842, JUN 11 2022, vol. 25, no. 8, p. 840-851. https://doi.org/10.1080/10255842.2021.1983803; WOS

70. [1.1] OZDEMIR, M.A. – KIZILISIK, S. – GUREN, O. Removal of Ocular Artifacts in EEG Using Deep Learning. In 2022 MEDICAL TECHNOLOGIES CONGRESS (TIPTEKNO’;22). 2022. https://doi.org/10.1109/TIPTEKNO56568.2022.9960203; WOS

71. [1.1] PALE, U. – TEIJEIRO, T. – ATIENZA, D. Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection. In FRONTIERS IN NEUROLOGY. ISSN 1664-2295, MAR 31 2022, vol. 13. https://doi.org/10.3389/fneur.2022.816294; WOS

72. [1.1] POTRA, S.A. – ALPTEKIN, H.D. – PUGNA, A. – KUCUN, N.T. – OZKARA, B.Y. – POP, M.D. Challenges in Testing the Kano Model’;s Validity through Computer-Assisted Human Behaviour Analysis. In 2022 IEEE TECHNOLOGY AND ENGINEERING MANAGEMENT CONFERENCE (TEMSCON EUROPE). 2022, p. 87-93. https://doi.org/10.1109/TEMSCONEUROPE54743.2022.9801928; WOS

73. [1.1] RAMIREZ-ARIAS, F.J. – GARCIA-GUERRERO, E.E. – TLELO-CUAUTLE, E. – COLORES-VARGAS, J.M. – GARCIA-CANSECO, E. – LOPEZ-BONILLA, O.R. – GALINDO-ALDANA, G.M. – INZUNZA-GONZALEZ, E. Evaluation of Machine Learning Algorithms for Classification of EEG Signals. In TECHNOLOGIES. AUG 2022, vol. 10, no. 4. https://doi.org/10.3390/technologies10040079; WOS

74. [1.1] RICCI, G. – DE CRESCENZIO, F. – SANTHOSH, S. – MAGOSSO, E. – URSINO, M. Relationship between electroencephalographic data and comfort perception captured in a Virtual Reality design environment of an aircraft cabin. In SCIENTIFIC REPORTS. ISSN 2045-2322, JUN 29 2022, vol. 12, no. 1. https://doi.org/10.1038/s41598-022-14747-0; WOS

75. [1.1] RODDIGER, T. – CLARKE, C. – BREITLING, P. – SCHNEEGANS, T. – ZHAO, H.B. – GELLERSEN, H. – BEIGL, M. Sensing with Earables: A Systematic Literature Review and Taxonomy of Phenomena. In PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT. SEP 2022, vol. 6, no. 3. https://doi.org/10.1145/3550314; WOS

76. [1.1] SAEDI, S. – FINI, A.A.F. – KHANZADI, M. – WONG, J. – SHEIKHKHOSHKAR, M. – BANAEI, M. Applications of electroencephalography in construction. In AUTOMATION IN CONSTRUCTION. ISSN 0926-5805, JAN 2022, vol. 133. https://doi.org/10.1016/j.autcon.2021.103985; WOS

77. [1.1] SAFFARYAZDI, N. – WASIM, S.T. – DILEEP, K. – NIA, A.F. – NANAYAKKARA, S. – BROADBENT, E. – BILLINGHURST, M. Using Facial Micro-Expressions in Combination With EEG and Physiological Signals for Emotion Recognition. In FRONTIERS IN PSYCHOLOGY. ISSN 1664-1078, JUN 28 2022, vol. 13. https://doi.org/10.3389/fpsyg.2022.864047; WOS

78. [1.1] SAINI, N. – BHARDWAJ, S. – AGARWAL, R. An Intelligent Approach of Measurement and Uncertainty Estimation for Hidden Information Detection Using Brain Signals. In MAPAN-JOURNAL OF METROLOGY SOCIETY OF INDIA. ISSN 0970-3950, MAR 2022, vol. 37, no. 1, p. 81-95. https://doi.org/10.1007/s12647-021-00493-7; WOS

79. [1.1] SAVENHAGO, R.L. – DE AVILA, P.M. – ORTOLAN, R.L. Neural Networks architectures and its applications in EEG signal classification for BCI. In REVISTA BRASILEIRA DE COMPUTACAO APLICADA. ISSN 2176-6649, APR 2022, vol. 14, no. 1, p. 55-69. https://doi.org/10.5335/rbca.v14i1.13070; WOS

80. [1.1] SEKIYA, T. – SUGIMOTO, K. – KUBOTA, A. – TSUCHIHASHI, N. – OISHI, A. – YOSHIDA, N. Assessment of psychological changes in young children during dental treatment: Analysis of the autonomic nervous activity and electroencephalogram. In INTERNATIONAL JOURNAL OF PAEDIATRIC DENTISTRY. ISSN 0960-7439, MAY 2022, vol. 32, no. 3, p. 418-427. https://doi.org/10.1111/ipd.12921; WOS

81. [1.1] SESHADRI, N.P.G. – GEETHANJALI, B. – SINGH, B.K. EEG based functional brain networks analysis in dyslexic children during arithmetic task. In COGNITIVE NEURODYNAMICS. ISSN 1871-4080, OCT 2022, vol. 16, no. 5, p. 1013-1028. https://doi.org/10.1007/s11571-021-09769-9; WOS

82. [1.1] SHAH, S.Y. – LARIJANI, H. – GIBSON, R.M. – LIAROKAPIS, D. Random Neural Network Based Epileptic Seizure Episode Detection Exploiting Electroencephalogram Signals. In SENSORS. APR 2022, vol. 22, no. 7. https://doi.org/10.3390/s22072466; WOS

83. [1.1] SHAHDADIAN, S. – WANG, X.L. – WANNIARACHCHI, H. – CHAUDHARI, A. – TRUONG, N.C.D. – LIU, H.L. Neuromodulation of brain power topography and network topology by prefrontal transcranial photobiomodulation. In JOURNAL OF NEURAL ENGINEERING. ISSN 1741-2560, DEC 1 2022, vol. 19, no. 6. https://doi.org/10.1088/1741-2552/ac9ede; WOS

84. [1.1] SHAO, R.M. – MA, R. – AN, X.Y. – WANG, C.N. – SUN, S.Q. Challenges and emerging opportunities in transistor-based ultrathin electronics: design and fabrication for healthcare applications. In JOURNAL OF MATERIALS CHEMISTRY C. ISSN 2050-7526, FEB 17 2022, vol. 10, no. 7, p. 2450-2474. https://doi.org/10.1039/d1tc04384f; WOS

85. [1.1] SHAW, R. – PATRA, B.K. Cognitive-aware lecture video recommendation system using brain signal in flipped learning pedagogy. In EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174, NOV 30 2022, vol. 207. https://doi.org/10.1016/j.eswa.2022.118057; WOS

86. [1.1] SPRINGER, A. – HOCKMEIER, L. – SCHICKER, D. – HETTWER, S. – FREIHERR, J. Measurement of Stress Relief during Scented Cosmetic Product Application Using a Mood Questionnaire, Stress Hormone Levels and Brain Activation. In COSMETICS. OCT 2022, vol. 9, no. 5. https://doi.org/10.3390/cosmetics9050097; WOS

87. [1.1] TIAN, F. – WANG, X.F. – CHENG, W.Q. – LEE, M.X. – JIN, Y.Y. A Comparative Study on the Temporal Effects of 2D and VR Emotional Arousal. In SENSORS. NOV 2022, vol. 22, no. 21. https://doi.org/10.3390/s22218491; WOS

88. [1.1] VAN STIGT, M.N. – VAN DE MUNCKHOF, A.A.G.A. – VAN MEENEN, L.C.C. – GROENENDIJK, E.A. – THEUNISSEN, M. – FRANSCHMAN, G. – SMEEKES, M.D. – VAN GRONDELLE, J.A.F. – GEUZEBROEK, G. – SIEGERS, A. – MARQUERING, H.A. – MAJOIE, C.B.L.M. – ROOS, Y.B.W.E.M. – KOELMAN, J.H.T.M. – POTTERS, W.V. – COUTINHO, J.M. ELECTRA-STROKE: Electroencephalography controlled triage in the ambulance for acute ischemic stroke-Study protocol for a diagnostic trial. In FRONTIERS IN NEUROLOGY. ISSN 1664-2295, OCT 3 2022, vol. 13. https://doi.org/10.3389/fneur.2022.1018493; WOS

89. [1.1] WAGH, K.P. – VASANTH, K. Performance evaluation of multi-channel electroencephalogram signal (EEG) based time frequency analysis for human emotion recognition. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, SEP 2022, vol. 78. https://doi.org/10.1016/j.bspc.2022.103966; WOS

90. [1.1] WANG, Y.Q. – ZHANG, L.J. – XIA, P. – WANG, P. – CHEN, X.X. – DU, L.D. – FANG, Z. – DU, M.Y. EEG-Based Emotion Recognition Using a 2D CNN with Different Kernels. In BIOENGINEERING-BASEL. JUN 2022, vol. 9, no. 6. https://doi.org/10.3390/bioengineering9060231; WOS

91. [1.1] WANG, Y.T. – WANG, S.J. – XU, M. Landscape Perception Identification and Classification Based on Electroencephalogram (EEG) Features. In INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. JAN 2022, vol. 19, no. 2. https://doi.org/10.3390/ijerph19020629; WOS

92. [1.1] WANG, Z.M. – LI, Y. – AN, J.C. – DONG, W.Y. – LI, H.Q.D. – MA, H.R. – WANG, J.H. – WU, J.P. – JIANG, T. – WANG, G.X. Effects of Restorative Environment and Presence on Anxiety and Depression Based on Interactive Virtual Reality Scenarios. In INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. JUL 2022, vol. 19, no. 13. https://doi.org/10.3390/ijerph19137878; WOS

93. [1.1] WEN, T.Y. – ARIS, S.A.M. Hybrid Approach of EEG Stress Level Classification Using K-Means Clustering and Support Vector Machine. In IEEE ACCESS. ISSN 2169-3536, 2022, vol. 10, p. 18370-18379. https://doi.org/10.1109/ACCESS.2022.3148380; WOS

94. [1.1] WU, D.R. – JIANG, X. – PENG, R.M. Transfer learning for motor imagery based brain-computer interfaces: A tutorial. In NEURAL NETWORKS. ISSN 0893-6080, SEP 2022, vol. 153, p. 235-253. https://doi.org/10.1016/j.neunet.2022.06.008; WOS

95. [1.1] WU, T. – ZHONG, Y. – FAN, Y. – KONG, X. – CHEN, L. Automatic diagnostics of EEG pathology via capsule network with multi-level feature fusion. In 2022 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, 2022, p. 1274-1280. https://doi.org/10.1109/BIBM55620.2022.9994929; SCOPUS

96. [1.1] XU, X. – KONG, Q. – ZHANG, D. – ZHANG, Y. An evaluation of inter-brain EEG coupling methods in hyperscanning studies. In COGNITIVE NEURODYNAMICS, 2022. ISSN 1871-4080. https://doi.org/10.1007/s11571-022-09911-1; WOS

97. [1.1] YANG, L.T. – LIU, Q. – ZHANG, Z.L. – GAN, L. – ZHANG, Y. – WU, J.L. Materials for Dry Electrodes for the Electroencephalography: Advances, Challenges, Perspectives. In ADVANCED MATERIALS TECHNOLOGIES. ISSN 2365-709X, MAR 2022, vol. 7, no. 3. https://doi.org/10.1002/admt.202100612; WOS

98. [1.1] ZHANG, J. – HUANG, Y. – YE, F. – YANG, B. – LI, Z. – HU, X. Evaluation of Post-Stroke Impairment in Fine Tactile Sensation by Electroencephalography (EEG)-Based Machine Learning. In APPLIED SCIENCES-BASEL, 2022, vol. 12, no. 9. https://doi.org/10.3390/app12094796; WOS

99. [1.1] ZHAO, F. – GAO, T.Y. – CAO, Z. – CHEN, X.B. – MAO, Y.Y. – MAO, N. – REN, Y.D. Identifying depression disorder using multi-view high-order brain function network derived from electroencephalography signal. In FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. OCT 27 2022, vol. 16. https://doi.org/10.3389/fncom.2022.1046310; WOS

100. [1.1] ZSOLDOS, I. – SINDING, C. – CHAMBARON, S. Using event-related potentials to study food-related cognition: An overview of methods and perspectives for future research. In BRAIN AND COGNITION. ISSN 0278-2626, JUN 2022, vol. 159. https://doi.org/10.1016/j.bc.2022.105864; WOS

101. [1.2] ALEXANDRE, H. – STEPHANE, B. Blinking characterization for each eye from EEG analysis using wavelets. In ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, 2022, p. 4274-4277. ISSN 1557-170X. https://doi.org/10.1109/EMBC48229.2022.9871044; SCOPUS

102. [1.2] ALEXANDRE, H. – STEPHANE, B. Real time eye-blinks detection from dry and portable EEG headset using machine learning. In 16TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY AND INTERNET-BASED SYSTEMS, 2022, p. 296-299. https://doi.org/10.1109/SITIS57111.2022.00051; SCOPUS

103. [1.2] ANGRISANI, L. – APICELLA, A. – ARPAIA, P. – CATALDO, A. – CALCE, A.D. – FULLIN, A. – GARGIULO, L. – MAFFEI, L. – MOCCALDI, N. – POLLASTRO, A. Instrumentation for EEG-based monitoring of the executive functions in a dual-task framework. In 25TH IMEKO TC-4 INTERNATIONAL SYMPOSIUM ON MEASUREMENT OF ELECTRICAL QUANTITIES, 2022, p. 161-165. ISBN 978-171386283-3; SCOPUS

104. [1.2] BASU, M. – SANYAL, S. – BANERJEE, A. – NAG, S. – BANERJEE, K. – GHOSH, D. Does musical training affect neuro-cognition of emotions? An EEG study with Indian Classical Instrumental Music. In PROCEEDINGS OF MEETINGS ON ACOUSTICS, 2022, vol. 46, no. 1. ISSN 1939-800X. https://doi.org/10.1121/2.0001624; SCOPUS

105. [1.2] BOUDAYA, A. – CHAABENE, S. – BOUAZIZ, B. – BATATIA, H. – ZOUARI, H. – JEMEA, S. – CHAARI, L. A Convolutional Neural Network for Artifacts Detection in EEG Data. In LECTURE NOTES IN NETWORKS AND SYSTEMS, 2022, vol. 350, p. 3-13. ISSN 2367-3370. https://doi.org/10.1007/978-981-16-7618-5_1; SCOPUS

106. [1.2] CHANG, Z. – BAI, H. – ZHANG, L. – GUPTA, K. – HE, W. – BILLINGHURST, M. The impact of virtual agents’ multimodal communication on brain activity and cognitive load in Virtual Reality. In FRONTIERS IN VIRTUAL REALITY, 2022, vol. 3. https://doi.org/10.3389/frvir.2022.995090; SCOPUS

107. [1.2] CHEPURI, S. – RAJ, R.S. – PONSAM, J.G. Simulation and Implementation of EEG signals using Neural Networks. In 2022 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS, 2022. https://doi.org/10.1109/ICCCI54379.2022.9740811; SCOPUS

108. [1.2] DAMIAN, M.M. – PRECUP, R.E. Signal Preprocessing and Artifact Removal for Brain-Computer Interfaces. In 2022 IEEE 16TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS, 2022, p. 51-54. https://doi.org/10.1109/SACI55618.2022.9919582; SCOPUS

109. [1.2] DASH, S.K. – SAHU, S.S. – BADAJENA, J.C. – DASH, S. – ROUT, C. Ensemble Learning Model for EEG Based Emotion Classification. In COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE, 2022, vol. 1737 CCIS, p. 3-16. ISSN 1865-0929. https://doi.org/10.1007/978-3-031-23233-6_1; SCOPUS

110. [1.2] DIDDI, S.V.S. – KO, L.W. Fuzzy Entropy based Complexity Analysis for Target Classification during Hybrid BCI Paradigm. In 2022 INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND ENGINEERING, 2022, p. 59-63. https://doi.org/10.1109/ICSSE55923.2022.9948254; SCOPUS

111. [1.2] DONGARE, S. – PADOLE, D. Implementation of Different Methods for Decomposing the Rhythms of EEG Signal. In LECTURE NOTES IN NETWORKS AND SYSTEMS, 2022, vol. 191, p. 483-491. ISSN 2367-3370. https://doi.org/10.1007/978-981-16-0739-4_46; SCOPUS

112. [1.2] GIL-LOPEZ, C. – GUIXERES, J. – MARIN-MORALES, J. – ALCANIZ, M. Use of XR’;s technologies for consumer behavior analysis. In ROADMAPPING EXTENDED REALITY: FUNDAMENTALS AND APPLICATIONS, 2022, p. 283-308. https://doi.org/10.1002/9781119865810.ch12; SCOPUS

113. [1.2] HENDY – ISA, S.M. Human emotion classification from electroencephalogram signal using feature extraction methods and deep learning. In ICIC EXPRESS LETTERS, 2022, vol. 16, no. 11, p. 1157-1167. ISSN 1881-803X. https://doi.org/10.24507/icicel.16.11.1157; SCOPUS

114. [1.2] HERATH, H. – DHANUSHI, R. – MADHUSANKA, B. High-performance medicine in cognitive impairment: Brain–computer interfacing for prodromal Alzheimer’;s disease. In PREDICTIVE MODELING IN BIOMEDICAL DATA MINING AND ANALYSIS, 2022, p. 105-121. https://doi.org/10.1016/B978-0-323-99864-2.00008-1; SCOPUS

115. [1.2] ISLAM, M. – LEE, T. MEMD-HHT based Emotion Detection from EEG using 3D CNN. In ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, 2022, p. 284-287. ISSN 1557-170X. https://doi.org/10.1109/EMBC48229.2022.9871012; SCOPUS

116. [1.2] KANAGA, E.G.M. – THANKA, M.R. – ANITHA, J. – JESLIN LOIS, S. A Pilot Investigation on the Performance of Auditory Stimuli based on EEG Signals Classification for BCI Applications. In 2022 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING, INSTRUMENTATION AND CONTROL TECHNOLOGIES, 2022, p. 632-637. https://doi.org/10.1109/ICICICT54557.2022.9917870; SCOPUS

117. [1.2] KE, G.N. – TAN, R.W.W. – PALMER, S. Brain Activity and Aggressive Behavior of Online Gamers. In INTERNATIONAL JOURNAL OF CYBER BEHAVIOR, PSYCHOLOGY AND LEARNING, 2022, vol. 12, no. 1. ISSN 2155-7136. https://doi.org/10.4018/IJCBPL.304903; SCOPUS

118. [1.2] LI, P. – QIAN, Y. – SI, N. Electroencephalogram and Electrocardiogram in Human-Computer Interaction. In IEEE 2ND INTERNATIONAL CONFERENCE ON DATA SCIENCE AND COMPUTER APPLICATION, ICDSCA 2022. IEEE, p. 646–654. https://doi.org/10.1109/ICDSCA56264.2022.9988056; SCOPUS

119. [1.2] LIU, L.H. – LU, X. – MARTINEZ, R. – WANG, D. – LIU, F. – MONROY-HERNÁNDEZ, A. – EPSTEIN, D.A. Mindful Garden: Supporting Reflection on Biosignals in a Co-Located Augmented Reality Mindfulness Experience. In PROCEEDINGS OF THE ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK, 2022, p. 201-204. https://doi.org/10.1145/3500868.3559708; SCOPUS

120. [1.2] MAHMOOD, D. – LEONG, H.J. – NISAR, H. Effectiveness of Online Ocular Artifact Removal from Electroencephalogram Signal during Neurofeedback Training. In 2022 INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN SMART TECHNOLOGIES, 2022. https://doi.org/10.1109/ICETST55735.2022.9922942; SCOPUS

121. [1.2] NAJAFI, T. – JAAFAR, R. Solving Brain Research Problems: Electroencephalography Focus. In ACM INTERNATIONAL CONFERENCE PROCEEDING SERIES, 2022, p. 15-21. https://doi.org/10.1145/3543081.3543084; SCOPUS

122. [1.2] NAKOV, N. – ALIMARDANI, M. Using EEG Brain Signals to Predict Children’;s Learning Performance During Technology-assisted Language Learning. In 2022 IEEE INTERNATIONAL CONFERENCE ON HUMAN-MACHINE SYSTEMS, 2022. https://doi.org/10.1109/ICHMS56717.2022.9980677; SCOPUS

123. [1.2] NASIR, E. – FUAD, N. – MARWAN, M. – AKILA, N. Brainwave Distribution of Cognitive Activities Between Normal and Dyslexia Children. In LECTURE NOTES IN ELECTRICAL ENGINEERING, 2022, vol. 842, p. 717-726. ISSN 1876-1100. https://doi.org/10.1007/978-981-16-8690-0_63; SCOPUS

124. [1.2] NEETI – RANJAN, R. – SAHANA, B.C. Automatic Identification of K-complex in Sleep EEG Signal for Clinical Practice. In 2022 IEEE DELHI SECTION CONFERENCE, 2022. https://doi.org/10.1109/DELCON54057.2022.9753300; SCOPUS

125. [1.2] PAITHANE, A.N. – ALAGIRISAMY, M. Electroencephalogram Signal Analysis Using Wavelet Transform and Support Vector Machine for Human Stress Recognition. In BIOMEDICAL AND PHARMACOLOGY JOURNAL, 2022, vol. 15, no. 3, p. 1349-1360. ISSN 0974-6242. https://doi.org/10.13005/bpj/2471; SCOPUS

126. [1.2] PALE, U. – TEIJEIRO, T. – ATIENZA, D. Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection. In ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, 2022, p. 4076-4082. ISSN 1557-170X. https://doi.org/10.1109/EMBC48229.2022.9870919; SCOPUS

127. [1.2] PARDHI, A.W. – VARADE, S.W. Ambulatory Wearable EEG data-logger deployment challenges and its solutions. In IEEE NORTH KARNATAKA SUBSECTION FLAGSHIP INTERNATIONAL CONFERENCE, NKCon 2022. https://doi.org/10.1109/NKCon56289.2022.10126648; SCOPUS

128. [1.2] RAJ, S. – ALAM, S. – AHMAD, T. Prediction of Cardiac Arrest using Artificial Intelligence A Systematic Review. In 2022 4TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION CONTROL AND NETWORKING, 2022, p. 583-588. https://doi.org/10.1109/ICAC3N56670.2022.10074035; SCOPUS

129. [1.2] RIYAD, M. – KHALIL, M. – ADIB, A. Dimensionality Reduction of MI-EEG Data via Convolutional Autoencoders with a Low Size Dataset. In LECTURE NOTES IN BUSINESS INFORMATION PROCESSING, 2022, vol. 449 LNBIP, p. 263-278. ISSN 1865-1348. https://doi.org/10.1007/978-3-031-06458-6_22; SCOPUS

130. [1.2] RIYADI, M.A. – RANE, O.R. – AMIR, A. – PRAKOSO, T. – SETIAWAN, I. Method of Electroencephalography Electrode Selection for Motor Imagery Application. In 2022 IEEE INTERNATIONAL CONFERENCE ON CYBERNETICS AND COMPUTATIONAL INTELLIGENCE, 2022, p. 224-229. https://doi.org/10.1109/CyberneticsCom55287.2022.9865463; SCOPUS

131. [1.2] SAFIE, S.I. – TAI, M.A. – JA’;AFAR, N.H. Effects of Ruqyah Recitation During Phasmophobia (Fear of Ghosts) Attacks: An EEG Analytical Approach. In 8TH IEEE INTERNATIONAL CONFERENCE ON SMART INSTRUMENTATION, MEASUREMENT AND APPLICATIONS, 2022, p. 1-4. https://doi.org/10.1109/ICSIMA55652.2022.9929084; SCOPUS

132. [1.2] SHARMA, N. – RYAIT, H.S. – SHARMA, S. Interpreting Skilled and Unskilled Tasks Using EEG Signals. In LECTURE NOTES IN NETWORKS AND SYSTEMS, 2022, vol. 375, p. 15-25. ISSN 2367-3370. https://doi.org/10.1007/978-981-16-8763-1_2; SCOPUS

133. [1.2] SHA’ABANI, M. – FUAD, N. – JAMAL, N. – ENGKU MAT NASIR, E. Selection of Intrinsic Mode Function in Ensemble Empirical Mode Decomposition Based on Peak Frequency of PSD for EEG Data Analysis. In LECTURE NOTES IN NETWORKS AND SYSTEMS, 2022, vol. 348, p. 213-221. ISSN 2367-3370. https://doi.org/10.1007/978-981-16-7597-3_17; SCOPUS

134. [1.2] SOTO, I.F. – HERNÁNDEZ, M.C. Trends in the use of Neurosky Mindwave for the development of Brain Computer Interfaces BCI. In LACCEI INTERNATIONAL MULTI-CONFERENCE FOR ENGINEERING, EDUCATION AND TECHNOLOGY, 2022. https://doi.org/10.18687/LACCEI2022.1.1.415; SCOPUS

135. [1.2] SULISTYONO, M.Y.T. – ERNAWATI, D. – SARI, W.S. – HADIATI NUGRAINI, S. Artifact-EOG Denoising Using FIR-Filtering in EEG Channel Selection for Monitoring and Rehabilitation of Stroke Patients. In 2022INTERNATIONAL SEMINAR ON APPLICATION FOR TECHNOLOGY OF INFORMATION AND COMMUNICATION, 2022, p. 82-88. https://doi.org/10.1109/iSemantic55962.2022.9920409; SCOPUS

136. [1.2] TIWARI, S. – ARORA, D. – NAGAR, V. Detection of insomnia using advanced complexity and entropy features of sleep stage data of EEG recordings. In MEASUREMENT:SENSORS, 2022, vol. 24. https://doi.org/10.1016/j.measen.2022.100498; SCOPUS

137. [1.2] TRAYLOR, Z. – NAM, C.S. Use of deep learning techniques in EEG-based BCI applications. In HUMAN-CENTERED ARTIFICIAL INTELLIGENCE: RESEARCH AND APPLICATIONS, 2022, p. 173-189. https://doi.org/10.1016/B978-0-323-85648-5.00016-5; SCOPUS

138. [1.2] WU, D. – LI, Z. – TANG, X. – WU, W. – JIANG, H. Emotion Features Research for Internet-of-Emotions. In COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE, 2022, vol. 1587 CCIS, p. 629-641. ISSN 1865-0929. https://doi.org/10.1007/978-3-031-06761-7_50; SCOPUS

139. [1.2] YANG, Z.X. – CHEN, B.Q. An effective sparsity evaluation criterion for power-line interference suppression of EEG signal. In FRONTIERS IN NEUROSCIENCE, 2022, vol. 16. ISSN 1662-4548. https://doi.org/10.3389/fnins.2022.984471; SCOPUS

140. [3.1] ANUMALA, V. – DHULIPALLA, V.R. EMD Inspired by Wavelet Thresholding for Correction of Blink Artifacts from Single-Channel Cerebral Signals. In INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) FRAMEWORKS IN TELEHEALTH. Springer, 2022, p. 255-271. https://doi.org/10.1007/978-3-031-05049-7_16.

141. [3.1] CHAUDHARI, S.A. – GAWALI, B.W. –  OMPRAKASH, S. Jadhav Statistical Analysis of EEG Data For Attention Deficit Hyperactivity Disorder. In JOURNAL OF POSITIVE SCHOOL, 2022, vol. 6, no. 5, p. 4046-4053. https://www.journalppw.com/index.php/jpsp/article/view/6975/4542.

142. [3.1] DASDEMİR, Y. A brain-computer interface for gamification in the Metaverse. In DICLE UNIVERSITY JOURNAL OF ENGINEERING, 2022, vol. 13, no. 4, p. 645-652. https://doi.org/10.24012/dumf.1134296.

143. [3.1] EYAD TALAL ATTAR. A Review of Mental Stress and EEG Band Power. In INTERNATIONAL JOURNAL OF NANOTECHNOLOGY & NANOMEDICINE, 2022, vol. 7, no. 2, p. 112-118. ISSN 2476- 2334.

144. [3.1] HOSSAIN, G. – BELLO, M. – FAIYAZUDDIN, M. Blink Rate Variability as a Measure of Computer Vision Syndrome. In RESEARCH SQUARE, 2022. https://doi.org/10.21203/rs.3.rs-1550893/v1.

145. [3.1] KHOR, E.Y. – LIM, C.C. – CHONG, Y.F. – LEE, P.F. Features Analysis of Electroencephalography (EEG) for Mindfulness Meditation Effect on Cancer Patients Toward Stress Level. In PROCEEDINGS OF THE INTERNATIONAL E-CONFERENCE ON INTELLIGENT SYSTEMS AND SIGNAL PROCESSING. Springer, 2022, p. 203-218. https://doi.org/10.1007/978-981-16-2123-9_15.

146. [3.1] KOSE, M.R. – AHIRWAL, M.K. – MITHILESH, A. A Review on Biomedical Signals with Fundamentals of Digital Signal Processing. In ARTIFICIAL INTELLIGENCE APPLICATIONS FOR HEALTH CARE. CRC Press, 2022, ISBN 9781003241409.

147. [3.1] KUMAR, C. – KUMAR, M. Comparative Analysis of Emotional State Classification Using Different Machine Learning Techniques. In INDUSTRIAL INTERNET OF THINGS. CRC Press, 2022, ISBN 9781003145004.

148. [3.1] LEE, E. – HONG. J.K. – CHOI, H. – YOON, I. Modest effect of neurofeedback-assisted meditation using wearable device on stress reduction: A randomized, double-blind and controlled Study. In RESEARCH SQUARE, 2022. https://doi.org/10.21203/rs.3.rs-1907600/v1.

149. [3.1] LU, L. – XIE, Z. – WANG, H. – LI, L. – XU, X. Measurements of Mental Stress and Safety Awareness during Human Robot Collaboration – Review. In PROCEEDINGS OF THE 2022 HFES 66TH INTERNATIONAL ANNUAL MEETING, 2022, p. 2273-2277. https://journals.sagepub.com/doi/pdf/10.1177/1071181322661549.

150. [3.1] LUKAČEVIC, F. – BECATTINI, N. – ŠKEC, S. Differences in engineers’; brain activity when CAD modelling from isometric and orthographic projections. In RESEARCH SQUARE, 2022. https://doi.org/10.21203/rs.3.rs-2154458/v1.

151. [3.1] MIDER, D. Badanie aktywności elektrycznej ludzkiego mózgu w zakresie potencjałów wywołanych – nowe narzędzie Nauk Społecznych. In COLLECTION OF SCIENTIFIC ARTICLES ON CONTEMPORARY PROBLEMS OF PHILOSOPHY, CULTURAL STUDIES, PSYCHOLOGY, PEDAGOGY AND HISTORY. Kyiv, Ukrainian: Drahomanov National Pedagogical University, 2022, p. 138-143. ISBN 978-966-999-273-4.

152. [3.1] MOKHTAR, A.S. – FUAD, N. – MARWAN, M.E. – NORAZLIN. Electroencephalogram (EEG) pattern for human smoke habit. In PENYELIDIKAN ISLAM: INTEGRASI ILMU NAQLI DAN AQLI. Penerbit UTHM, p. 86-103. ISBN 978-967-2817-72-7. http://eprints.uthm.edu.my/id/eprint/7289.

153. [3.1] NARMADA, A. Deep learning for EEG Channel Selection for Epilepsy Detection and Classification. In JOURNAL OF POSITIVE SCHOOL PSYCHOLOGY, 2022, vol. 6, no. 5, p. 6511–6524. https://journalppw.com/index.php/jpsp/article/view/8177.

154. [3.1] NETO, F. – JORGE, V. – SILVA, C. Comparison of performance of scenarios with one and three brain-machine interfaces applied. In ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 2022, vol. 19., p. 198-209. https://doi.org/10.5753/eniac.2022.227599.

155. [3.1] NOUIRA, I. – BEDOUI, M.H. Parallel Implementation for EEG Artifact Rejection. In ELECTROENCEPHALOGRAM SIGNAL ANALYSIS: EPILEPTIC CEREBRAL ACTIVITY LOCALIZATION AND IMPLEMENTATION. Cambridge Scholars Publishing, 2022, p. 97-119. ISBN 978-1-5275-8451-8.

156. [3.1] PAN, Y. – CHOU, J. – WEI, C. MAtt: A Manifold Attention Network for EEG Decoding. In arXiv 2022, https://doi.org/10.48550/arXiv.2210.01986.

157. [3.1] PANTONGRUK, P. – HORNGKITIYANON, T. The Body Systems, Brains and Learning Directions of Thai Children in the New Normal Lifestyle. In SIKKHA JOURNAL OF EDUCATION, 2022, vol. 9, no. 1, p. 1–12. https://so05.tci-thaijo.org/index.php/sikkha/article/view/253492.

158. [3.1] PRADA, E. – TAVARES, M. – GARCIA, A. – SATLER, C. – MARTINEZ, L. – ALVES, C. – TOMAZ, C. EEG Mapping of Cortical Activation Related to Emotional Stroop with Facial Expressions: A TREFACE Study. In JOURNAL OF BEHAVIORAL AND BRAIN SCIENCE, 2022, vol. 12, p. 514-532. https://doi.org/10.4236/jbbs.2022.1210030.

159. [3.1] RAHIM, A. – FUAD, N. – MARWAN, M. – NORAZLIN, N. EEG pattern of human calmness during listening to Al-Quran recitation and soft instrumental music. In PENYELIDIKAN ISLAM: INTEGRASI ILMU NAQLI DAN AQLI. Penerbit UTHM, UTHM, 2022, p. 39-59. ISBN 978-967-2817-72-7.

160. [3.1] REDWAN, S. – UDDIN, P. – ULHAQ, A. – SHARIF, M.I. Power Spectral Density-Based Resting-State EEG Classification of First-Episode Psychosis. In arXiv 2022, https://doi.org/10.48550/arXiv.2301.01588.

161. [3.1] SRIVASTAVA, S. Classifying REM Sleep Behavior Disorder through CNNs with Image-Based Representations of EEGs. In medRxiv 2022, https://doi.org/10.1101/2022.04.03.22273365.

162. [3.1] WEI, X. – SURJANA, A.I. – SOFFKER, D. Inner speech classification based on electroencephalography (EEG) signals and support vector machine (SVM). In RESEARCH SQUARE, 2022, https://doi.org/10.21203/rs.3.rs-2287259/v1.

163. [3.1] WEON, H. – PARK, P. – KIM, H. – SON, H. A Study on the Influence of Future Journaling on Metacognition, Mental Fitness and Quantitative Electroencephalogram in Elementary and Middle School Students. In JOURNAL OF THE KOREA ACADEMIA-INDUSTRIAL COOPERATION SOCIETY, 2022, vol. 23, no. 9, p. 226-237. https://doi.org/10.5762/KAIS.2022.23.9.226.

164. [3.1] ZAKERIAN, S.A. – KOUHNAVARD, B. Application of Electroencephalography (EEG) in Ergonomics: A systematic review study. In IRANIAN JOURNAL OF ERGONOMICS, 2022, vol. 9, no. 3, p. 1-18. http://journal.iehfs.ir/article-1-833-en.html.

 

• WIMMER, G. – WITKOVSKÝ, Viktor. Proper rounding of the measurement results under the assumption of uniform distribution. In Measurement Science Review, 2002, vol. 2, p. 1-7. ISSN 1335-8871.

WOS citations: 1

1. [1.1] SUPELETO, F.A. – SANTOS, B.F. – AGUIAR, A.P. Revision of Fortipalpa Kasparyan & Ruiz-Cancino, (Ichneumonidae, Cryptinae). In ZOOTAXA. ISSN 1175-5326, DEC 14 2022, vol. 5219, no. 6, p. 501-533; WOS

 

Scientific papers in foreign peer-reviewed proceedings, monographs

 

• GRENDÁR, Marián – GRENDÁR, M. What is the question that MaxEnt answers? A probabilistic interpretation. In Bayesian Inference and Maximum Entropy Methods in Science and Engineering : 20th International Workshop. Editor A. Mohammad-Djafari. – Melville : American Institute of Physics, 2001, p. 83-93. ISBN 0-7354-0004-0.

WOS citations: 1

1. [1.1] ARAUJO, F.H.V. – DA SILVA, A.F. – RAMOS, R.S. – FERREIRA, S.R. – DOS SANTOS, J.B. – DA SILVA, R.S. – SHABANI, F. Modelling climate suitability for Striga asiatica, a potential invasive weed of cereal crops. In CROP PROTECTION. ISSN 0261-2194, OCT 2022, vol. 160. https://doi.org/10.1016/j.cropro.2022.106050; WOS

 

• PIGOŠOVÁ, Jana – KILIÁNOVÁ, A. – VOJTEK, P. – KOPČOK, Michal – CIGÁŇ, Alexander. Preparation of bismuth-doped yttrium iron garnets and their characterization. In Wave and Quantum Aspects of Contemporary Optics : 15th Czech-Polish-Slovak Conference. Editors M. Miler, D. Senderáková, M. Hrabovský. – Bellingham, Washington : SPIE, 2007, p. M1-M6. ISBN 9780819467485. https://doi.org/10.1117/12.739727

WOS citations: 1

1. [1.1] MARTIN, M. – MARTIN, R.C. – ANDREWS, H.B. – ALLMAN, S. – BRICE, D. – MARTIN, S. – ANDRE, N. Quantification of Rare Earth Elements in the Parts Per Million Range: A Novel Approach in the Application of Laser-Induced Breakdown Spectroscopy. In APPLIED SPECTROSCOPY. ISSN 0003-7028, AUG 2022, vol. 76, no. 8, p. 937-945. https://doi.org/10.1177/00037028221092051; WOS

 

• ROSIPAL, Roman – TREJO, L.J. – MATTHEWS, B. Kernel PLS-SVC for linear and nonlinear classification. In Twentieth International Conference on Machine Learning (ICML-2003). Editors T. Fawcett, N. Mishra. – 2003, p. 640-647. ISBN 0-1-57735-189-4.

SCOPUS citations: 1

1. [1.2] OUAARI, S. – TASHU, T.M. – HORVATH, T. Multimodal Feature Extraction for Memes Sentiment Classification. In 2022 IEEE 2ND CONFERENCE ON INFORMATION TECHNOLOGY AND DATA SCIENCE, 2022, p. 285-290. https://doi.org/10.1109/CITDS54976.2022.9914260; SCOPUS

 

• WITKOVSKÝ, Viktor. On the exact tolerance intervals for univariate normal distribution. In Computer Data Analysis and Modeling (CDAM 2013) : Theoretical and Applied Stochastics. 10th International Conference. Vol. 1. Editors S. Aivazian, P. Filzmoser, Y. Kharin. – Minsk, Belarus : Belarusian State University, 2013, p. 130-137. ISBN 978-985-553-137-2.

WOS citations: 1

1. [1.1] TANNER, H.G. – STAGER, A. Data-Driven Abstractions for Robots With Stochastic Dynamics. In IEEE TRANSACTIONS ON ROBOTICS. ISSN 1552-3098.2022, vol. 38, no. 3, p. 1686-1702; WOS

 

• WITKOVSKÝ, Viktor. Matlab algorithm TDIST: The distribution of a linear combination of Student’;s t random variables. In COMPSTAT 2004 : Proceedings in Computational Statistics. Ed. Jaromír Antoch. – Physica-Verlag, 2004, p. 1995-2002. ISBN 3-7908-1554-3.

WOS citations: 1; other citations: 1

1. [1.1] COELHO, C.A. Likelihood Ratio Tests for Elaborate Covariance Structures and for MANOVA Models with Elaborate Covariance Structures-A Review. In JOURNAL OF THE INDIAN INSTITUTE OF SCIENCE. ISSN 0970-4140, 2022; WOS

2. [3.1] BALTAGI, B.H. – BRESSON, G. – CHATURVEDI, A. – LACROIX, G. Robust Dynamic Panel Data Models Using ε-Contamination. In ESSAYS IN HONOR OF M. HASHEM PESARAN, 2022, Vol. 43B, p. 307-336. https://doi.org/10.1108/S0731-90532021000043B013

 

Scientific papers in domestic peer-reviewed proceedings, monographs

 

• BUDÁČOVÁ, Hana – ŠTOLC, Svorad. Comparison of novel methods for correlation dimension estimation. In MEASUREMENT 2013 : 9th International Conference on Measurement. Editors J. Maňka, M. Tyšler, V. Witkovský, I. Frollo. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2013, p. 27-30. ISBN 978-80-969-672-5-4.

WOS citations: 1

1. [1.1] KRAKOVSKA, A. – POCOS, S. – MOJZISOVA, K. – BETKOVA, I. – GUBAS, J.X. State space reconstruction techniques and the accuracy of prediction. In COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION. ISSN 1007-5704, AUG 2022, vol. 111. https://doi.org/10.1016/j.cnsns.2022.106422; WOS

 

• STRBAK, O. – GOGOLA, Daniel – FROLLO, Ivan. Cube model approach in simulating of magnetite nanoparticles behaviour in external magnetic fields. In MEASUREMENT 2011 : Proceedings of the 8th International Conference on Measurement. Editors J. Maňka, V. Witkovský, M. Tyšler, I. Frollo. – Bratislava : Institute of Measurement Science SAS, 2011, p. 115-118. ISBN 978-80-969-672-4-7.

WOS citations: 1

1. [1.1] MOHAMMADI, S. – RAFII-TABAR, H. – SASANPOUR, P. Contribution of the dipole-dipole interaction to targeting efficiency of magnetite nanoparticles inside the blood vessel: A computational modeling analysis with different magnet geometries. In PHYSICS OF FLUIDS. ISSN 1070-6631, MAR 2022, vol. 34, no. 3. https://doi.org/10.1063/5.0082882; WOS

 

Scientific papers in foreign non peer-reviewed proceedings, monographs

 

• NÖEBAUER-HUHMANN, I.M. – KRAFF, O. – JURÁŠ, Vladimír – SZOMOLÁNYI, Pavol – MADERWALD, S. – MLYNÁRIK, V. – THYESOHN, J. M. – LADD, S. C. – LADD, M.E. – TRATTNIG, S. MR contrast media at 7 Tesla – preliminary study on relaxivities. In International Society for Magnetic Resonance in Medicine (ISMRM 2008) : 16th Scientific Meeting and Exhibition. – Toronto, Canada, 2008, p. 1457. ISSN 1545-4428.

WOS citations: 2

1. [1.1] ANDERSON, V.C. – TAGGE, I.J. – DOUD, A. – LI, X. – SPRINGER, C.S. – QUINN, J.F. – KAYE, J.A. – WILD, K.V. – ROONEY, W.D. DCE-MRI of Brain Fluid Barriers: In Vivo Water Cycling at the Human Choroid Plexus. In TISSUE BARRIERS. ISSN 2168-8370, JAN 2 2022, vol. 10, no. 1. https://doi.org/10.1080/21688370.2021.1963143; WOS

2. [1.1] LIACHENKO, S.M. – SADOVOVA, N.V. – TRIPP, A. – GHORAI, S. – PATRI, A.K. – HANIG, J.P. – COHEN, J.E. – KREFTING, I. Optimization of Detection of Gadodiamide Brain Retention in Rats Using Quantitative T-2 Mapping and Intraperitoneal Administration. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, NOV 2022, vol. 56, no. 5, p. 1499-1504. https://doi.org/10.1002/jmri.28149; WOS

 

Published papers from foreign scientific conferences

 

• KOREČKO, Š. – HUDÁK, M. – SOBOTA, B. – MARKO, M. – CIMROVÁ, B. – FARKAŠ, I. – ROSIPAL, Roman. Assessment and training of visuospatial cognitive functions in virtual reality: Proposal and perspective. In CogInfoCom : 9th IEEE International Conference on Cognitive InfoCommunications. – IEEE, 2018, p. 39-43. ISBN 978-1-5386-7094-1. https://doi.org/10.1109/CogInfoCom.2018.8639958

WOS citations: 1

1. [1.1] VARELA-ALDAS, J. – BUELE, J. – AMARIGLIO, R. – GARCIA-MAGARINO, I. – PALACIOS-NAVARRO, G. The cupboard task: An immersive virtual reality-based system for everyday memory assessment. In INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2022, vol. 167, p. ISSN 1071-5819. https://doi.org/10.1016/j.ijhcs.2022.102885; WOS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. – MATOUŠEK, J. GMM-based speaker gender and age classification after voice conversion. In First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016). – Aalborg : IEEE, 2016, p. 89-93. ISBN 978-1-4673-8916-7. https://doi.org/10.1109/SPLIM.2016.7528391

WOS citations: 3

1. [1.1] ALKHAMMASH, E.H. – HADJOUNI, M. – ELSHEWEY, A.M. A Hybrid Ensemble Stacking Model for Gender Voice Recognition Approach. In ELECTRONICS. JUN 2022, vol. 11, no. 11. https://doi.org/10.3390/electronics11111750; WOS

2. [1.1] BADR, A.A. – ABDUL-HASSAN, A.K. Speaker gender identification in matched and mismatched conditions based on stacking ensemble method. In JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY. APR 2022, vol. 17, no. 2, p. 1119-1134; WOS

3. [1.1] SHAKIL, S. – ARORA, D. – ZAIDI, T. Feature based classification of voice based biometric data through Machine learning algorithm. In MATERIALS TODAY-PROCEEDINGS. ISSN 2214-7853, 2022, vol. 51, 1, SI, p. 240-247. https://doi.org/10.1016/j.matpr.2021.05.261; WOS

 

• PŘIBIL, Jiří – PŘIBILOVÁ, Anna – FROLLO, Ivan. Comparative measurement of the PPG signal on different human body positions by sensors working in reflection and transmission modes. In Engineering Proceedings, 2020, vol. 2, no. 1, p. 69. ISSN 2673-4591. https://doi.org/10.3390/ecsa-7-08204

WOS citations: 6; other citations: 3

1. [1.1] BURTON, T. – SAIKO, G. – DOUPLIK, A. Towards Development of Specular Reflection Vascular Imaging. In SENSORS. APR 2022, vol. 22, no. 8. https://doi.org/10.3390/s22082830; WOS

2. [1.1] FUADAH, Y.N. – LIM, K.M. Classification of Blood Pressure Levels Based on Photoplethysmogram and Electrocardiogram Signals with a Concatenated Convolutional Neural Network. In DIAGNOSTICS. NOV 2022, vol. 12, no. 11. https://doi.org/10.3390/diagnostics12112886; WOS

3. [1.1] GEORGIEVA-TSANEVA, G. – GOSPODINOVA, E. – CHESHMEDZHIEV, K. Cardiodiagnostics Based on Photoplethysmographic Signals. In DIAGNOSTICS. FEB 2022, vol. 12, no. 2. https://doi.org/10.3390/diagnostics12020412; WOS

4. [1.1] PAEZ-MONTORO, A. – MARCOS-TORERO, J. – MIRANDA-CALERO, J.A. – LOPEZ-ONGIL, C. Towards a Smart Earring for Continuous Heart Rate and Audio Monitoring. In PROCEEDINGS OF THE 37TH CONFERENCE ON DESIGN OF CIRCUITS AND INTEGRATED SYSTEMS (DCIS 2022). ISSN 2471-6170, 2022, p. 59-64. https://doi.org/10.1109/DCIS55711.2022.9970091; WOS

5. [1.1] POLI, A. – COSOLI, G. – VERDENELLI, L. – SCARDULLA, F. – D’ACQUISTO, L. – SPINSANTE, S. – SCALISE, L. DIY Wrist-Worn Device for Physiological Monitoring: Metrological Evaluation at Different Band Tightening Levels. In IOT TECHNOLOGIES FOR HEALTH CARE, HEALTHYIOT 2021. ISSN 1867-8211, 2022, vol. 432, p. 214-229. https://doi.org/10.1007/978-3-030-99197-5_17; WOS

6. [1.1] YU, S.N. – WANG, S.W. – CHANG, Y.P. Improving Distinguishability of Photoplethysmography in Emotion Recognition Using Deep Convolutional Generative Adversarial Networks. In IEEE ACCESS. ISSN 2169-3536, 2022, vol. 10, p. 119630-119640. https://doi.org/10.1109/ACCESS.2022.3221774; WOS

7. [3.1] ALCHIERI, L. – ABDALAZIM, N. – ALECCI, L. – GASHI, S. – DI LASCIO, E. – SANTINI, S. On the Impact of Lateralization in Physiological Signals from Wearable Sensors. In 2022 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, 2022. https://doi.org/10.1145/3544793.3563427

8. [3.1] GEORGIEVA-TSANEVA, G. – GOSPODINOVA, E. Software system for cardiological data analysis oriented to the training of medical students. In INTED2022 PROCEEDINGS. ISSN 2340-1079, 2022, p. 7441-7449. https://doi.org/10.21125/inted.2022.1879

9. [3.1] PAMUK, Z. – KAYA, C. Detection of Heart Rate Variability from Photoplethysmography (PPG) Signals Obtained by Raspberry Pi Microcomputer. In SAKARYA UNIVERSITY JOURNAL OF COMPUTER AND INFORMATION SCIENCES, 2022, vol. 5, no. 1, p. 104-120. https://doi.org/10.35377/saucis…1024414

 

Dissertations and habilitation theses

 

• ŠUŠMÁKOVÁ, Kristína. Nelineárne a spektrálne charakteristiky spánkového elektroencefalogramu. Kandidátska dizertačná práca. Bratislava, 2009.

WOS citations: 1

1. [1.1] NAGWANSHI, K.K. – NOONIA, A. – TIWARI, S. – DOOHAN, N.V. – KUMAWAT, V. – AHANGER, T.A. – AMOATEY, E.T. Wearable Sensors with Internet of Things (IoT) and Vocabulary-Based Acoustic Signal Processing for Monitoring Children’s Health. In COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE. ISSN 1687-5265, APR 28 2022, vol. 2022; WOS

 

Works published on the internet

 

• KRAKOVSKÁ, Anna – JAKUBÍK, Jozef – BUDÁČOVÁ, Hana – HOLECYOVÁ, Mária. Causality studied in reconstructed state space. Examples of uni-directionally connected chaotic systems. In arXiv:1511.00505 [nlin.CD], 2015, p. 1-41.

WOS citations: 3; other citations: 1

1. [1.1] PELUSO, E. – MURARI, A. – CRACIUNESCU, T. – LERCHE, E. – GAUDIO, P. – GELFUSA, M. – GALLART, D. – TAYLOR, D. Conditional recurrence plots for the investigation of sawteeth pacing with RF modulation. In PLASMA PHYSICS AND CONTROLLED FUSION. ISSN 0741-3335, AUG 1 2022, vol. 64, no. 8. https://doi.org/10.1088/1361-6587/ac757c; WOS

2. [1.1] ZHANG, Y. – WANG, G. – LI, Z.W. – XIE, M.J. – CELLER, B. – SU, S.V. – XU, P. – YAO, D.Z. Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series. In FRONTIERS IN NEUROINFORMATICS. JUN 16 2022, vol. 16. https://doi.org/10.3389/fninf.2022.851645; WOS

3. [1.1] ZHOU, W.Q. – YU, S.J. – CHEN, B.D. Causality detection with matrix-based transfer entropy. In INFORMATION SCIENCES. ISSN 0020-0255, OCT 2022, vol. 613, p. 357-375. https://doi.org/10.1016/j.ins.2022.09.037; WOS

4. [3.1] WULKOW, N. Measuring dependencies between variables of a dynamical system using fuzzy affiliations. In arXiv, 2022, https://doi.org/10.48550/arXiv.2203.05993.

 

• KRAKOVSKÁ, Hana – KRAKOVSKÁ, Anna. Fractal dimension of self-affine signals: Four methods of estimation. In arXiv:1611.06190v1[math.DS], 2016, p. 1-8.

Other citations: 1

1. [3.1] SCHÄFER, B. – GORJAO, L.R. – YALCIN, G.C. – FÖRSTNER, E. – JUMAR, R. – MAASS, H. – KÜHNAPFEL, U. – HAGENMEYER, V. Microscopic fluctuations in power-grid frequency recordings at the sub-second scale. In arXiv, 2022, https://doi.org/10.48550/arXiv.2208.06379.

 

• WITKOVSKÝ, Viktor. CharFunTool: The characteristic functions toolbox (version 1.4.0). In MathWorks / Matlab Central, 2020, https://github.com/witkovsky/CharFunTool.

WOS citations: 4

1. [1.1] COELHO, C.A. Likelihood Ratio Tests for Elaborate Covariance Structures and for MANOVA Models with Elaborate Covariance Structures-A Review. In JOURNAL OF THE INDIAN INSTITUTE OF SCIENCE. ISSN 0970-4140, 2022; WOS

2. [1.1] FILIPIAK, K. – JOHN, M. – KLEIN, D. Testing independence under a block compound symmetry covariance structure. In STATISTICAL PAPERS. ISSN 0932-5026, 2022; WOS

3. [1.1] HANCOVA, M. – GAJDOS, A. – HANC, J. A practical, effective calculation of gamma difference distributions with open data science tools. In JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION. ISSN 0094-9655, 2022, vol. 92, no. 11, p. 2205-2232; WOS

4. [1.1] KLEIN, D. – PIELASZKIEWICZ, J. – FILIPIAK, K. Approximate normality in testing an exchangeable covariance structure under large- and high-dimensional settings. In JOURNAL OF MULTIVARIATE ANALYSIS. ISSN 0047-259X, 2022, vol. 192; WOS

 

• WITKOVSKÝ, Viktor – WIMMER, G. – DUBY, T. Computing the aggregate loss distribution based on numerical inversion of the compound empirical characteristic function of frequency and severity. In arXiv:1701.08299 [stat.CO], 2017, 12 p. https://doi.org/10.48550/arXiv.1701.08299

WOS citations: 2

1. [1.1] LITVINENKO, A. – MARZOUK, Y. – MATTHIES, H.G. – SCAVINO, M. – SPANTINI, A. Computing f-divergences and distances of high-dimensional probability density functions. In NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS. ISSN 1070-5325, 2022. https://doi.org/10.1002/nla.2467; WOS

2. [1.1] XIE, S. Feature extraction of auto insurance size of loss data using functional principal component analysis. In EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174, 2022, vol. 198. https://doi.org/10.1016/j.eswa.2022.116780; WOS