Citations 2020

Scientific monographs

 

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

WOS citations: 3

1. [1.1] DE MAYRINCK, C. – VALE DA FONSECA, A.F. – SCHIAVON, M.A. Colloidal perovskite nanocrystals: history, properties and applications. In QUIMICA NOVA. ISSN 0100-4042, 2020, vol. 43, no. 9, p. 1264-1276.

2. [1.1] MARTINEZ-HERNANDEZ, H. – ARTURO MENDOZA-NIETO, J. – PFEIFFER, H. – ORTIZ-LANDEROS, J. – TELLEZ-JURADO, L. Development of novel nano-hydroxyapatite doped with silver as effective catalysts for carbon monoxide oxidation. In CHEMICAL ENGINEERING JOURNAL. ISSN 1385-8947, 2020, vol. 401.

3. [1.1] THANGAVELU, S.A.G. – MUKHERJEE, M. – KANNAN, L. – CHELIKE, D.K. – SULTHANA, Y.R. – RAMAN, R.K. – ALAGUMALAI, A. – VAIRAMUTHU, M. – MANDAL, A.B. Biodegradable polyurethanes foam and foam fullerenes nanocomposite strips by one-shot moulding: Physicochemical and mechanical properties. In MATERIALS SCIENCE IN SEMICONDUCTOR PROCESSING. ISSN 1369-8001, 2020, vol. 112.

 

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

WOS citations: 6; SCOPUS citations: 4

1. [1.1] CAMPISI, S. – BEEVERS, C. – NASRALLAH, A. – CATLOW, C.R.A. – CHAN-THAW, C.E. – MANZOLI, M. – DIMITRATOS, N. – WILLOCK, D.J. – ROLDAN, A. – VILLA, A. DFT-Assisted Spectroscopic Studies on the Coordination of Small Ligands to Palladium: From Isolated Ions to Nanoparticles. In JOURNAL OF PHYSICAL CHEMISTRY C. ISSN 1932-7447, 2020, vol. 124, no. 8, p. 4781-4790.

2. [1.1] KELLER, D. – HENNINEN, T.R. – ERNI, R. Atomic mechanisms of gold nanoparticle growth in ionic liquids studied by in situ scanning transmission electron microscopy. In NANOSCALE. ISSN 2040-3364, 2020, vol. 12, no. 44, p. 22511-22517.

3. [1.1] PALMA, T.L. – VIEIRA, B. – NUNES, J. – LOURENCO, J.P. – MONTEIRO, O.C. – COSTA, M.C. Photodegradation of chloramphenicol and paracetamol using PbS/TiO2 nanocomposites produced by green synthesis. In JOURNAL OF THE IRANIAN CHEMICAL SOCIETY. ISSN 1735-207X, 2020, vol. 17, no. 8, p. 2013-2031.

4. [1.1] RUEDA-GENSINI, L. – CIFUENTES, J. – CASTELLANOS, M.C. – PUENTES, P.R. – SERNA, J.A. – MUNOZ-CAMARGO, C. – CRUZ, J.C. Tailoring Iron Oxide Nanoparticles for Efficient Cellular Internalization and Endosomal Escape. In NANOMATERIALS, 2020, vol. 10, no. 9.

5. [1.1] SCARDACI, V. – PULVIRENTI, M. – CONDORELLI, M. – COMPAGNINI, G. Monochromatic light driven synthesis and growth of flat silver nanoparticles and their plasmon sensitivity. In JOURNAL OF MATERIALS CHEMISTRY C. ISSN 2050-7526, 2020, vol. 8, no. 28, p. 9734-9741.

6. [1.1] WAHYUDIONO – KONDO, H. – YAMADA, M. – TAKADA, N. – MACHMUDAH, S. – KANDA, H. – GOTO, M. DC-Plasma over Aqueous Solution for the Synthesis of Titanium Dioxide Nanoparticles under Pressurized Argon. In ACS OMEGA. ISSN 2470-1343, 2020, vol. 5, no. 10, p. 5443-5451.

7. [1.2] ABDUL RAZACK, S. – DURAIARASAN, S. A way to create a sustainable environment: Green nanotechnology with an emphasis on noble metals. In THE ELSI HANDBOOK OF NANOTECHNOLOGY: RISK, SAFETY, ELSI AND COMMERCIALIZATION, 2020, p. 359-425.

8. [1.2] ELHOUSSAINE, O. – ABDELAZIZ, E. – HICHAM, M. – ABDENBI, B. Plasmonic Nanorods investigating for cancer cell imaging and photothermal therapy. In 2020 1ST INTERNATIONAL CONFERENCE ON INNOVATIVE RESEARCH IN APPLIED SCIENCE, ENGINEERING AND TECHNOLOGY, IRASET 2020, 2020.

9. [1.2] HUSSAIN, C.M. The ELSI handbook of nanotechnology: Risk, safety, ELSI and commercialization. Wiley, 2020, ISBN 978-111959299-0.

10. [1.2] PUTRI, D.A. – SUTRIYO, S. – SAPUTRI, F.C. Cellular uptake study and cytotoxicity study of resveratrol-gold-peg-folate (RSVAU-PEG-FA) nanoparticles on hela human cervical cancer cell line. In INTERNATIONAL JOURNAL OF APPLIED PHARMACEUTICS. ISSN 0975-7058, 2020, vol. 12, no. 4, p. 113-118.

 

Chapters in scientific monographs 

 

• CAPEK, Ignác. Dispersions based on carbon nanotubes – biomolecules conjugates. In Carbon Nanotubes : Growth and Applications. – Rijeka, Croatia : InTech, 2011, p. 75-96. ISBN 978-953-307-566-2.

WOS citations: 1

1. [1.1] XU, D. – SEERY, T.A.P. – GAO, Y. – DING, L. – ZHOU, C. – WANG, Z. – JIANG, Z. – ZHANG, H. A series of novel high-temperature-resistant multiwall carbon nanotubes dispersants: Polyphenylene sulfones with pyrene groups in main chain. In JOURNAL OF APPLIED POLYMER SCIENCE. ISSN 0021-8995, 2020, vol. 137, no. 7.

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. Spectral flatness analysis for emotional speech synthesis and transformation. In Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions. – Berlin : Springer-Verlag, 2009, lNCS 5641, P. 106-115. ISBN 978-3-642-03319-3. Dostupné na: https://doi.org/10.1007/978-3-642-03320-9_11

SCOPUS citations: 1; other citations: 1

1. [1.2] SAWHNEY, R. – AGGARWAL, A. – KHANNA, P. – MATHUR, P. – JAIN, T. – SHAH, R.R. Risk forecasting from earnings calls acoustics and network correlations. In ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, INTERSPEECH. ISSN 2308-457X, 2020, p. 2307-2311.

2. [3.1] SAWHNEY, R. – KHANNA, P. – AGGARWAL, A. – JAIN, T. – MATHUR, P. VolTAGE: Volatility Forecasting via Text Audio Fusion with Graph Convolution Networks for Earnings Calls. In CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING, 2020, pp. 8001-8013.

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. Statistical analysis of complementary spectral features of emotional speech in Czech and Slovak. In Text, speech and dialogue. – Berlin : Springer, 2011, lNCS 6836, P. 299-306. ISBN 978-3-642-23537-5. ISSN 0302-9743. Dostupné na: https://doi.org/10.1007/978-3-642-23538-2_38

WOS citations: 1

1. [1.1] LIU, Shan – ZHANG, Muyu – GAO, Baojun – JIANG, Guoyin. Physician voice characteristics and patient satisfaction in online health consultation. In INFORMATION & MANAGEMENT. ISSN 0378-7206, 2020, vol. 57, no. 5, pp.

 

• 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. Dostupné na: https://doi.org/10.4018/978-1-61520-911-8.ch009

WOS citations: 8; SCOPUS citations: 2; other citations: 1

1. [1.1] BRENDEL, R. – SCHWOLOW, S. – ROHN, S. – WELLER, P. Comparison of PLSR, MCR-ALS and Kernel-PLSR for the quantification of allergenic fragrance compounds in complex cosmetic products based on nonlinear 2D GC-IMS data. In CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. ISSN 0169-7439, 2020, vol. 205.

2. [1.1] EHRE, M. – PAPAIOANNOU, I. – STRAUB, D. Global sensitivity analysis in high dimensions with PLS-PCE. In RELIABILITY ENGINEERING & SYSTEM SAFETY. ISSN 0951-8320, 2020, vol. 198.

3. [1.1] FATEMI, M. – DALIRI, M.R. Nonlinear sparse partial least squares: an investigation of the effect of nonlinearity and sparsity on the decoding of intracranial data. In JOURNAL OF NEURAL ENGINEERING. ISSN 1741-2560, 2020, vol. 17, no. 1.

4. [1.1] IACCHERI, E. – BERARDINELLI, A. – CIAVATTA, C. – RAGNI, L. Rapid assessment of fertilizers manufacturing methods by means of a novel waveguide vector spectrometer. In JOURNAL OF AGRICULTURAL ENGINEERING. ISSN 1974-7071, 2020, vol. 51, no. 4, p. 192-199.

5. [1.1] SAID, M. – BEN ABDELLAFOU, K. – TAOUALI, O. Machine learning technique for data-driven fault detection of nonlinear processes. In JOURNAL OF INTELLIGENT MANUFACTURING. ISSN 0956-5515, 2020, vol. 31, no. 4, p. 865-884.

6. [1.1] SILALAHI, D.D. – MIDI, H. – ARASAN, J. – MUSTAFA, M.S. – CALIMAN, J.-P. Kernel partial diagnostic robust potential to handle high-dimensional and irregular data space on near infrared spectral data. In HELIYON. ISSN 2405-8440, 2020, vol. 6, no. 1.

7. [1.1] YOON, Y.S. – LEE, J.H. In-situ FT-IR quantitative analysis of amine concentrations and CO2 loading amount in solvent mixtures for CO2 capture. In INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL. ISSN 1750-5836, 2020, vol. 94.

8. [1.1] ZHANG, Z. – HESTHAVEN, J.S. Rare event simulation for large-scale structures with local nonlinearities. In COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING. ISSN 0045-7825, 2020, vol. 366.

9. [1.2] ECHTERMEYER, A. – MARKS, C. – MITSOS, A. – VIELL, J. Inline Raman Spectroscopy and Indirect Hard Modeling for Concentration Monitoring of Dissociated Acid Species. In APPLIED SPECTROSCOPY. ISSN 0003-7028, 2020.

10. [1.2] QIN, S.J. – DONG, Y. – ZHU, Q. – WANG, J. – LIU, Q. Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring. In ANNUAL REVIEWS IN CONTROL. ISSN 1367-5788, 2020.

11. [3.1] GAUTIER, R. – PANDITA, P. – GHOSH, S. – MAVRIS, D. A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes. In arXiv:2008.03534 [stat.ML], 2020.

 

• 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.

SCOPUS citations: 1

1. [2.1] KUCERA, L. – PATIN, B. – GAJDOSIK, T. – PALENCAR, R. – PALENCAR, J. – UJLAKY, M. Application of Metrological Approaches in the Design of Calibration Equipment for Verification of Float Level Gauges. In MEASUREMENT SCIENCE REVIEW. ISSN 1335-8871, 2020, vol. 20, no. 5, p. 230-235.

 

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, karentované – CCC). (2015 – Current Contents). ISSN 0263-2241. Dostupné na: https://doi.org/10.1016/j.measurement.2014.12.035

SCOPUS citations: 1

1. [1.2] BARBARACI, G. Control flow strategy in a receiver coil for nuclear magnetic resonance for imaging. In JVC/JOURNAL OF VIBRATION AND CONTROL. ISSN 1077-5463, 2020.

 

• 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, karentované – CCC). (2010 – Current Contents). ISSN 1063-4584. Dostupné na: https://doi.org/10.1016/j.joca.2010.06.002

WOS citations: 4

1. [1.1] ANZ, A.W. – EDISON, J. – DENNEY, T.S. – BRANCH, E.A. – WALZ, C.R. – BROCK, K.V. – GOODLETT, M.D. 3-T MRI mapping is a valid in vivo method of quantitatively evaluating the anterior cruciate ligament: rater reliability and comparison across age. In SKELETAL RADIOLOGY. ISSN 0364-2348, 2020, vol. 49, no. 3, p. 443-452.

2. [1.1] FRANZ, A. – BITTERSOHL, B. – BEITZEL, K. Biologic options for treatment of cartilage lesions at the shoulder joint Technique, indications and limits. In ARTHROSKOPIE. ISSN 0933-7946, 2020, vol. 33, no. 5, p. 329-335.

3. [1.1] KIM, K. – THAPA, M. – SHNEIDER, D. – SAPER, M. T2 mapping on magnetic resonance imaging to diagnose lateral patellar compression syndrome: a report of two cases. In CURRENT ORTHOPAEDIC PRACTICE. ISSN 1940-7041, 2020, vol. 31, no. 5, p. 512-514.

4. [1.1] MA, P. – YUE, L. – YANG, H. – FAN, Y. – BAI, J. – LI, S. – YUAN, J. – ZHANG, Z. – YAO, C. – LIN, M. – HOU, Q. Chondroprotective and anti-inflammatory effects of amurensin H by regulating TLR4/Syk/NF-kappa B signals. In JOURNAL OF CELLULAR AND MOLECULAR MEDICINE. ISSN 1582-1838, 2020, vol. 24, no. 2, p. 1958-1968.

 

• 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, karentované – CCC). (2020 – Current Contents). ISSN 1063-4584. Dostupné na: https://doi.org/10.1016/j.joca.2019.10.009

WOS citations: 1

1. [1.1] SHI, L. – WANG, K.X. – YU, J.H. – LI, M.K. – MEN, G.M. – MA, G. – WANG, X. Relationship Between Magnetic Resonance T2-Mapping and Matrix Metalloproteinase 1,3 in Knee Osteoarthritis. In INDIAN JOURNAL OF ORTHOPAEDICS. ISSN 0019-5413, 2020.

 

• BACHAROVA, L. – SZATHMÁRY, V. – ŠVEHLÍKOVÁ, Jana – MATEASIK, A. – GYHAGEN, J. – TYŠLER, Milan. The effect of conduction velocity slowing in left ventricular midwall on the QRS complex morphology: A simulation study. In Journal of Electrocardiology, 2016, vol. 49, no. 2, p. 164-170. (2015: 1.290 – IF, Q4 – JCR, 0.559 – SJR, Q2 – SJR, karentované – CCC). (2016 – Current Contents). ISSN 0022-0736. Dostupné na: https://doi.org/10.1016/j.jelectrocard.2015.12.009

WOS citations: 1

1. [1.1] YOU, Z. – HE, T. – DING, Y. – YANG, L. – JIANG, X. – HUANG, L. Predictive value of electrocardiographic left ventricular hypertrophy in the general population: A meta-analysis. In JOURNAL OF ELECTROCARDIOLOGY. ISSN 0022-0736, 2020, vol. 62, p. 14-19.

 

• BACHAROVA, L. – SZATHMÁRY, V. – ŠVEHLÍKOVÁ, Jana – MATEASIK, A. – TYŠLER, Milan. QRS complex waveform indicators of ventricular activation slowing: Simulation studies. In Journal of Electrocardiology, 2016, vol. 49, no. 6, p. 790-793. (2015: 1.290 – IF, Q4 – JCR, 0.559 – SJR, Q2 – SJR, karentované – CCC). (2016 – Current Contents). ISSN 0022-0736. Dostupné na: https://doi.org/10.1016/j.jelectrocard.2016.07.032

WOS citations: 1

1. [1.1] IZAN, N.F. – SALLEH, S.H. – TING, C.-M. – NOMAN, F. – SH-HUSSAIN, H. – POZNANSKI, R.R. – LATIF, A.Z.A. Clinical interpretations of the effectiveness of changes in body position during aerobic fitness after neurologic injury. In JOURNAL OF INTEGRATIVE NEUROSCIENCE. ISSN 0219-6352, 2020, vol. 19, no. 3, p. 479-487.

 

• 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, karentované – CCC). (2013 – Current Contents). ISSN 0306-0012. Dostupné na: https://doi.org/10.1039/c3cs35468g

WOS citations: 85; SCOPUS citations: 1; other citations: 3

1. [1.1] ABOUHAKIM, H. – QUAYLE, M.J. – NORBERG, S.T. – LILL, S.O.N. – ASACHI, M. – SCHROEDER, S.L.M. – MULLER, F.L. – HASSANPOUR, A. Mechanically Induced Amorphization of Diaqua-bis(Omeprazolate)-Magnesium Dihydrate. In CRYSTAL GROWTH & DESIGN. ISSN 1528-7483, SEP 2 2020, vol. 20, no. 9, p. 6057-6068.

2. [1.1] AL AMERY, N. – ABID, H.R. – AL-SAADI, S. – WANG, S. – LIU, S. Facile directions for synthesis, modification and activation of MOFs. In MATERIALS TODAY CHEMISTRY. ISSN 2468-5194, SEP 2020, vol. 17.

3. [1.1] AMRUTE, A.P. – ZIBROWIUS, B. – SCHUTH, F. Mechanochemical Grafting: A Solvent-less Highly Efficient Method for the Synthesis of Hybrid Inorganic-Organic Materials. In CHEMISTRY OF MATERIALS. ISSN 0897-4756, JUN 9 2020, vol. 32, no. 11, p. 4699-4706.

4. [1.1] ANEGGI, E. – DE LEITENBURG, C. – TROVARELLI, A. Influence of Nanoscale Surface Arrangements on the Oxygen Transfer Ability of Ceria-Zirconia Mixed Oxide. In INORGANICS. MAY 2020, vol. 8, no. 5.

5. [1.1] ANEGGI, E. – TROVARELLI, A. Potential of Ceria-Zirconia-Based Materials in Carbon Soot Oxidation for Gasoline Particulate Filters. In CATALYSTS. JUL 2020, vol. 10, no. 7.

6. [1.1] ARSHAD, F. – LI, L. – AMIN, K. – FAN, E.S. – MANURKAR, N. – AHMAD, A. – YANG, J.B. – WU, F. – CHEN, R.J. A Comprehensive Review of the Advancement in Recycling the Anode and Electrolyte from Spent Lithium Ion Batteries. In ACS SUSTAINABLE CHEMISTRY & ENGINEERING. ISSN 2168-0485, SEP 14 2020, vol. 8, no. 36, p. 13527-13554.

7. [1.1] ARUN, J. – GOPINATH, K.P. Chemical Recycling of Electronic-Waste for Clean Fuel Production. In E-WASTE RECYCLING AND MANAGEMENT: PRESENT SCENARIOS AND ENVIRONMENTAL ISSUES. ISSN 2213-7114, 2020, vol. 33, p. 111-126.

8. [1.1] BAK, W. – DULIAN, P. – GARBARZ-GLOS, B. – CZEKAJ, D. – LISINSKA-CZEKAJ, A. ALTERNATIVE, DIRECT SYNTHESIS METHOD OF THE CERAMIC SOLID SOLUTIONS BASED ON BaTiO3 THROUGH A HIGH ENERGY BALL MILLING. In ARCHIVES OF METALLURGY AND MATERIALS. ISSN 1733-3490, 2020, vol. 65, no. 2, p. 805-810.

9. [1.1] BELIK, Y. – KHARLAMOVA, T. – VODYANKIN, A. – SVETLICHNYI, V. – VODYANKINA, O. Mechanical activation for soft synthesis of bismuth silicates. In CERAMICS INTERNATIONAL. ISSN 0272-8842, JUN 1 2020, vol. 46, no. 8, A, p. 10797-10806.

10. [1.1] BELTRAMI, R. – MERCADELLI, E. – BALDISSERRI, C. – GALASSI, C. – BRAGHIN, F. – LECIS, N. Synthesis of KNN powders: Scaling effect of the milling step. In POWDER TECHNOLOGY. ISSN 0032-5910, SEP 20 2020, vol. 375, p. 101-108.

11. [1.1] BLACKMORE, R.H. – RIVAS, M.E. – ERDEN, T.E. – TRAN, T.D. – MARCHBANK, H.R. – OZKAYA, D. – DE GUTIERREZ, M.B. – WAGLAND, A. – COLLIER, P. – WELLS, P.P. Understanding the mechanochemical synthesis of the perovskite LaMnO3 and its catalytic behaviour. In DALTON TRANSACTIONS. ISSN 1477-9226, JAN 7 2020, vol. 49, no. 1, p. 232-240.

12. [1.1] BLACKMORE, R.H. – RIVAS, M.E. – TIERNEY, G.F. – MOHAMMED, K.M.H. – DECAROLIS, D. – HAYAMA, S. – VENTURINI, F. – HELD, G. – ARRIGO, R. – AMBOAGE, M. – HELLIER, P. – LYNCH, E. – AMRI, M. – CASAVOLA, M. – ERDEN, T.E. – COLLIER, P. – WELLS, P.P. The electronic structure, surface properties, and in situ N2O decomposition of mechanochemically synthesised LaMnO3. In PHYSICAL CHEMISTRY CHEMICAL PHYSICS. ISSN 1463-9076, SEP 14 2020, vol. 22, no. 34, p. 18774-18787.

13. [1.1] BROSEGHINI, M. – D’;INCAU, M. – GELISIO, L. – PUGNO, N.M. – SCARDI, P. Numerical and experimental investigations on new jar designs for high efficiency planetary ball milling. In ADVANCED POWDER TECHNOLOGY. ISSN 0921-8831, JUL 2020, vol. 31, no. 7, p. 2641-2649.

14. [1.1] CARLTON, H. – HUITINK, D. – LIANG, H. Tribochemistry as an Alternative Synthesis Pathway. In LUBRICANTS. SEP 2020, vol. 8, no. 9.

15. [1.1] CESTARI, F. – CHEMELLO, G. – GALOTTA, A. – SGLAVO, V.M. Low-temperature synthesis of nanometric apatite from biogenic sources. In CERAMICS INTERNATIONAL. ISSN 0272-8842, OCT 15 2020, vol. 46, no. 15, p. 23526-23533.

16. [1.1] CHEN, X. – ZHU, J. – RUAN, J.J. – TANG, Y.T. – QIU, R.L. Debromination and Decomposition Mechanisms of Phenolic Resin Molecules in Ball Milling with Nano-Zerovalent Iron. In ACS SUSTAINABLE CHEMISTRY & ENGINEERING. ISSN 2168-0485, JAN 13 2020, vol. 8, no. 1, p. 172-178.

17. [1.1] CHEN, X.Y. – XU, Z.H. – YAO, Z.Z. – SHUAI, Q. – JIANG, Z. – PENG, X. – LI, Y. – AN, R. – JIANG, X. – LI, H. Preparation of non-sintered lightweight aggregates through co-mechanochemical treatment of oil-contaminated drill cuttings, circulation fluidized bed combustion fly ash, and quicklime. In ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. ISSN 0944-1344, JUN 2020, vol. 27, no. 17, p. 20904-20911.

18. [1.1] DARAIO, D. – VILLORIA, J. – INGRAM, A. – ALEXIADIS, A. – STITT, E.H. – MUNNOCH, A.L. – MARIGO, M. Using Discrete Element method (DEM) simulations to reveal the differences in the gamma-Al2O3 to alpha-Al2O3 mechanically induced phase transformation between a planetary ball mill and an attritor mill. In MINERALS ENGINEERING. ISSN 0892-6875, AUG 15 2020, vol. 155.

19. [1.1] DAYAKER, G. – TAN, D.V. – BIGGINS, N. – SHELAM, A. – DO, J.L. – KATSENIS, A.D. – FRISCIC, T. Catalytic Room-Temperature C-N Coupling of Amides and Isocyanates by Using Mechanochemistry. In CHEMSUSCHEM. ISSN 1864-5631, JUN 8 2020, vol. 13, no. 11, p. 2966-2972.

20. [1.1] DE OLIVEIRA, P.F.M. – TORRESI, R.M. – EMMERLING, F. – CAMARGO, P.H.C. Challenges and opportunities in the bottom-up mechanochemical synthesis of noble metal nanoparticles. In JOURNAL OF MATERIALS CHEMISTRY A. ISSN 2050-7488, AUG 28 2020, vol. 8, no. 32, p. 16114-16141.

21. [1.1] DENOUE, K. – CHEVIRE, F. – CALERS, C. – VERGER, L. – LE COQ, D. – CALVEZ, L. Mechanochemical synthesis and structural characterization of gallium sulfide Ga2S3. In JOURNAL OF SOLID STATE CHEMISTRY. ISSN 0022-4596, DEC 2020, vol. 292.

22. [1.1] DORDEVIC, N.G. – MIHAJLOVIC, S.R. – PATARIC, A.S. Thermodynamic Aspect of Sodium Carbonate Mechanical Transformations under Different Environment. In SCIENCE OF SINTERING. ISSN 0350-820X, 2020, vol. 52, no. 4, p. 433-444.

23. [1.1] DUAN, C.X. – YU, Y. – XIAO, J. – ZHANG, X.L. – LI, L.B. – YANG, P.F. – WU, J.L. – XI, H.X. Water-based routes for synthesis of metal-organic frameworks: A review. In SCIENCE CHINA-MATERIALS. ISSN 2095-8226, MAY 2020, vol. 63, no. 5, p. 667-685.

24. [1.1] EL-REMAILY, M.A. – SOLIMAN, A.M.M. – ELHADY, O.M. Green Method for the Synthetic Ugi Reaction by Twin Screw Extrusion without a Solvent and Catalyst. In ACS OMEGA. ISSN 2470-1343, MAR 24 2020, vol. 5, no. 11, p. 6194-6198.

25. [1.1] FENG, Y. – LIU, L. – LIU, X.Y. – TENG, Y.F. – LI, Y.X. – GUO, Y.T. – ZHU, Y.C. – WANG, X.F. – CHAO, Y.M. Enabling the ability of Li storage at high rate as anodes by utilizing natural rice husks-based hierarchically porous SiO2/N-doped carbon composites. In ELECTROCHIMICA ACTA. ISSN 0013-4686, NOV 1 2020, vol. 359.

26. [1.1] GAMON, J. – PEREZ, A.J. – JONES, L.A.H. – ZANELLA, M. – DANIELS, L.M. – MORRIS, R.E. – TANG, C.C. – VEAL, T.D. – HARDWICK, L.J. – DYER, M.S. – CLARIDGE, J.B. – ROSSEINSKY, M.J. Na2Fe2OS2, a new earth abundant oxysulphide cathode material for Na-ion batteries. In JOURNAL OF MATERIALS CHEMISTRY A. ISSN 2050-7488, OCT 21 2020, vol. 8, no. 39, p. 20553-20569.

27. [1.1] GARBARZ-GLOS, B. – BAK, W. – BUDZIAK, A. – DULIAN, P. – LISINKA-CZEKAJ, A. – CZEKAJ, D. THE APPLICATION OF THE MECHANOCHEMICAL SYNTHESIS FOR THE PREPARATION OF ADVANCED CERAMICS BASED ON BARIUM TITANATE. In ARCHIVES OF METALLURGY AND MATERIALS. ISSN 1733-3490, 2020, vol. 65, no. 4, p. 1391-1396.

28. [1.1] GERMANN, L.S. – ARHANGELSKIS, M. – ETTER, M. – DINNEBIER, R.E. – FRISCIC, T. Challenging the Ostwald rule of stages in mechanochemical cocrystallisation. In CHEMICAL SCIENCE. ISSN 2041-6520, OCT 7 2020, vol. 11, no. 37, p. 10092-10100.

29. [1.1] GOYAL, D. – MALAR, P. Dry mill route for synthesis of single phase bulk and e-beam growth of thin films of Cu2ZnSnSe4 for photovoltaic applications. In JOURNAL OF ALLOYS AND COMPOUNDS. ISSN 0925-8388, DEC 15 2020, vol. 846.

30. [1.1] GRASSO, M.L. – ALBANESI, L.F. – GARRONI, S. – MULAS, G. – GENNARI, F.C. Methane production by mechanochemical processing of MgH2-Li2CO3 as sources of H-2 and CO2 at room temperature. In JOURNAL OF CO2 UTILIZATION. ISSN 2212-9820, SEP 2020, vol. 40.

31. [1.1] HE, H.P. – DI, G.L. – GAO, X.F. – FEI, X.C. Use mechanochemical activation to enhance interfacial contaminant removal: A review of recent developments and mainstream techniques. In CHEMOSPHERE. ISSN 0045-6535, MAR 2020, vol. 243.

32. [1.1] HEIDINGER, B. – ROYER, S. – GIRAUDON, J.M. – GARDOLL, O. – ALAMDARI, H. – LAMONIER, J.F. Reactive Grinding synthesis of La(Sr,Ce)CoO3 and their properties in toluene catalytic total oxidation. In CHEMCATCHEM. ISSN 1867-3880, APR 20 2020, vol. 12, no. 8, p. 2271-2282.

33. [1.1] HOSSEINI, A. – SCHREINER, P.R. Direct Exploitation of the Ethynyl Moiety in Calcium Carbide Through Sealed Ball Milling. In EUROPEAN JOURNAL OF ORGANIC CHEMISTRY. ISSN 1434-193X, AUG 2 2020, vol. 2020, no. 28, p. 4339-4346.

34. [1.1] HOU, H. – ZHOU, J.Z. – JI, M.T. – YUE, Y. – QIAN, G.R. – ZHANG, J. Mechanochemical activation of titanium slag for effective selective catalytic reduction of nitric oxide. In SCIENCE OF THE TOTAL ENVIRONMENT. ISSN 0048-9697, NOV 15 2020, vol. 743.

35. [1.1] HUANG, X. – DONG, K. – LIU, L. – LUO, X. – YANG, R. – SONG, H.B. – LI, S.G. – HUANG, Q. Physicochemical and structural characteristics of nano eggshell calcium prepared by wet ball milling. In LWT-FOOD SCIENCE AND TECHNOLOGY. ISSN 0023-6438, SEP 2020, vol. 131.

36. [1.1] HUSKIC, I. – LENNOX, C.B. – FRISCIC, T. Accelerated ageing reactions: towards simpler, solvent-free, low energy chemistry. In GREEN CHEMISTRY. ISSN 1463-9262, SEP 21 2020, vol. 22, no. 18, p. 5881-5901.

37. [1.1] JOSHI, H. – OCHOA-HERNANDEZ, C. – NURENBERG, E. – KANG, L.Q. – WANG, F.R. – WEIDENTHALER, C. – SCHMIDT, W. – SCHUTH, F. Insights into the mechanochemical synthesis of Sn-beta: Solid-state metal incorporation in beta zeolite. In MICROPOROUS AND MESOPOROUS MATERIALS. ISSN 1387-1811, DEC 15 2020, vol. 309.

38. [1.1] JUNG, S.-K. – HWANG, I. – CHANG, D. – PARK, K.-Y. – KIM, S.J. – SEONG, W.M. – EUM, D. – PARK, J. – KIM, B. – KIM, J. – HEO, J.H. – KANG, K. Nanoscale Phenomena in Lithium-Ion Batteries. In CHEMICAL REVIEWS. ISSN 0009-2665, 2020, vol. 120, no. 14, p. 6684-6737.

39. [1.1] KANG, T. – LEE, S. – KIM, T. – KIM, J. Efficient Luminescence of Sr2Si5N8:Eu2+ nanophosphor and its film applications to LED and Solar cell as a downconverter. In SCIENTIFIC REPORTS. ISSN 2045-2322, JAN 30 2020, vol. 10, no. 1.

40. [1.1] KAPUSTA, K. – DRYGAS, M. – JANIK, J.F. – OLEJNICZAK, Z. New synthesis route to kesterite Cu2ZnSnS4 semiconductor nanocrystalline powders utilizing copper alloys and a high energy ball milling-assisted process. In JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T. ISSN 2238-7854, NOV-DEC 2020, vol. 9, no. 6, p. 13320-13331.

41. [1.1] KHALIFA, A.Z. – CIZER, O. – PONTIKES, Y. – HEATH, A. – PATUREAU, P. – BERNAL, S.A. – MARSH, A.T.M. Advances in alkali-activation of clay minerals. In CEMENT AND CONCRETE RESEARCH. ISSN 0008-8846, JUN 2020, vol. 132.

42. [1.1] KHALIGH, N.G. – MIHANKHAH, T. Greener and practical synthesis of 4,4 ‘;-(arylmethylene)bis(3-methyl-1-phenyl-1H-pyrazol-5-ol)s through a conventional heating and a mechanochemical procedure. In JOURNAL OF HETEROCYCLIC CHEMISTRY. ISSN 0022-152X, NOV 2020, vol. 57, no. 11, p. 4036-4043.

43. [1.1] KHIL’;KO, S.L. – ROGATKO, M.I. – MAKAROVA, R.A. – SEMENOVA, R.G. Specific Features of the Formation of Adsorption Layers from Products of Mechanochemical Modification of Humic Acids at a Liquid-Gas Interface. In COLLOID JOURNAL. ISSN 1061-933X, NOV 2020, vol. 82, no. 6, p. 746-757.

44. [1.1] KISHIMURA, H. – MATSUMOTO, H. Mechanical alloying of Ga2O3 and Ga2O3-Al2O3. In MATERIALS CHEMISTRY AND PHYSICS. ISSN 0254-0584, AUG 1 2020, vol. 250.

45. [1.1] LEISTENSCHNEIDER, D. – HESS, L.H. – BALDUCCI, A. – BORCHARDT, L. Solid-state transformation of aqueous to organic electrolyte – Enhancing the operating voltage window of ‘;in situ electrolyte’; supercapacitors. In SUSTAINABLE ENERGY & FUELS. ISSN 2398-4902, MAY 1 2020, vol. 4, no. 5, p. 2438-2447.

46. [1.1] LI, C.G. – ZHANG, M.W. – RUAN, M.M. – WANG, J. – LIANG, J.M. – ZHANG, D.L. A nanograins-attached and ultrathin Cu flake powder fabricated by high energy mechanical milling and dealloying. In MATERIALS LETTERS. ISSN 0167-577X, APR 15 2020, vol. 265.

47. [1.1] LIU, J. – DOU, Z.H. – ZHANG, T.A. Kinetic study on bastnaesite concentrate mechanochemical decomposition in NaOH solution. In JOURNAL OF RARE EARTHS. ISSN 1002-0721, APR 2020, vol. 38, no. 4, p. 418-426.

48. [1.1] LIU, Y.C. – HE, X.M. – HU, H.M. – ZHANG, Q.W. Cogrinding with alkaline metal salts to enhance the reactivity of silicate mineral to serve as silicon fertilizer. In CHEMICAL PHYSICS LETTERS. ISSN 0009-2614, MAY 16 2020, vol. 747.

49. [1.1] LOMOVSKIY, I. – BYCHKOV, A. – LOMOVSKY, O. – SKRIPKINA, T. Mechanochemical and Size Reduction Machines for Biorefining. In MOLECULES. NOV 2020, vol. 25, no. 22.

50. [1.1] LUKIN, S. – STOLAR, T. – LONCARIC, I. – MILANOVIC, I. – BILISKOV, N. – DI MICHIEL, M. – FRISCIC, T. – HALASZ, I. Mechanochemical Metathesis between AgNO3 and NaX (X = CI, Br, I) and Ag2XNO3 Double -Salt Formation. In INORGANIC CHEMISTRY. ISSN 0020-1669, SEP 8 2020, vol. 59, no. 17, p. 12200-12208.

51. [1.1] MAHAJAN, M. – ROY, K. – PARMAR, S. – SINGLA, G. – PANDEY, O.P. – SINGH, K. – VAIDHYANATHAN, R. – OGALE, S. Room temperature processed in-situ carbon-coated vanadium carbide (VC@C) as a high capacity robust Li/Na battery anode material. In CARBON. ISSN 0008-6223, MAY 2020, vol. 161, p. 108-116.

52. [1.1] MALPARTIDA, I. – MAIRELES-TORRES, P. – VEREDA, C. – RODRIGUEZ-MAROTO, J.M. – HALLOUMI, S. – LAIR, V. – THIEL, J. – LACOSTE, F. Semi-continuous mechanochemical process for biodiesel production under heterogeneous catalysis using calcium diglyceroxide. In RENEWABLE ENERGY. ISSN 0960-1481, OCT 2020, vol. 159, p. 117-126.

53. [1.1] MAMPUYS, P. – MCELROY, C. R. – CLARK, J. H. – ORRU, R. V. A. – MAES, B. U. W. Thiosulfonates as Emerging Reactants: Synthesis and Applications. In ADVANCED SYNTHESIS & CATALYSIS. ISSN 1615-4150, 2020, vol. 362, no. 1, pp. 3-64.

54. [1.1] MAMPUYS, P. – MCELROY, C.R. – CLARK, J.H. – ORRU, R.V.A. – MAES, B.U.W. Thiosulfonates as Emerging Reactants: Synthesis and Applications. In ADVANCED SYNTHESIS & CATALYSIS. ISSN 1615-4150, JAN 7 2020, vol. 362, no. 1, p. 3-64.

55. [1.1] MARTINS, V.L. – NEVES, H.R. – MONJE, I.E. – LEITE, M.M. – DE OLIVEIRA, P.F.M. – ANTONIASSI, R.M. – CHAUQUE, S. – MORAIS, W.G. – MELO, E.C. – OBANA, T.T. – SOUZA, B.L. – TORRESI, R.M. An Overview on the Development of Electrochemical Capacitors and Batteries – Part I. In ANAIS DA ACADEMIA BRASILEIRA DE CIENCIAS. ISSN 0001-3765, 2020, vol. 92, no. 2.

56. [1.1] MASI, A. – ARMENIO, A.A. – CELENTANO, G. – LA BARBERA, A. – RUFOLONI, A. – SILVA, E. – VANNOZZI, A. – VARSANO, F. Mechanochemically assisted low temperature synthesis route of the 1144 Ca-K Iron Based Superconductor. In SUPERCONDUCTOR SCIENCE & TECHNOLOGY. ISSN 0953-2048, JUL 2020, vol. 33, no. 7.

57. [1.1] MURSALAT, Mehnaz – HASTINGS, Daniel L. – SCHOENITZ, Mirko – DREIZIN, Edward L. Microspheres with Diverse Material Compositions Can be Prepared by Mechanical Milling. In ADVANCED ENGINEERING MATERIALS. ISSN 1438-1656, 2020, vol. 22, no. 3.

58. [1.1] NGONO, F. – CUELLO, G.J. – JIMENEZ-RUIZ, M. – WILLART, J.F. – GUERAIN, M. – WILDES, A.R. – STUNAULT, A. – HAMOUDI-BEN YELLES, C.M. – AFFOUARD, F. Morphological and Structural Properties of Amorphous Lactulose Studied by Scanning Electron Microscopy, Polarized Neutron Scattering, and Molecular Dynamics Simulations. In MOLECULAR PHARMACEUTICS. ISSN 1543-8384, JAN 2020, vol. 17, no. 1, p. 10-20.

59. [1.1] NGONO, F. – WILLART, J.-F. – CUELLO, G.J. – JIMENEZ-RUIZ, M. – HAMOUDI-BEN YELLES, C.-M. – AFFOUARD, F. Impact of Amorphization Methods on the Physicochemical Properties of Amorphous Lactulose. In MOLECULAR PHARMACEUTICS. ISSN 1543-8384, 2020, vol. 17, no. 1, p. 1-9.

60. [1.1] NOIRBENT, G. – DUMUR, F. Recent Advances on Copper Complexes as Visible Light Photoinitiators and (Photo) Redox Initiators of Polymerization. In CATALYSTS. SEP 2020, vol. 10, no. 9.

61. [1.1] NZABAHIMANA, J. – LIU, Z.F. – GUO, S.T. – WANG, L.B. – HU, X.L. Top-Down Synthesis of Silicon/Carbon Composite Anode Materials for Lithium-Ion Batteries: Mechanical Milling and Etching. In CHEMSUSCHEM. ISSN 1864-5631, APR 21 2020, vol. 13, no. 8, p. 1923-1946.

62. [1.1] PALAZON, F. – EL AJJOURI, Y. – BOLINK, H.J. Making by Grinding: Mechanochemistry Boosts the Development of Halide Perovskites and Other Multinary Metal Halides. In ADVANCED ENERGY MATERIALS. ISSN 1614-6832, 2020, vol. 10, no. 13.

63. [1.1] QIU, W. – VAKILI, M. – CAGNETTA, G. – HUANG, J. – YU, G. Effect of high energy ball milling on organic pollutant adsorption properties of chitosan. In INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES. ISSN 0141-8130, APR 1 2020, vol. 148, p. 543-549.

64. [1.1] REDON, R. – RAMIREZ-CRESCENCIO, F. – GONZALEZ-RODRIGUEZ, R. – COFFER, J. – SIMANEK, E.E. Ir(0) and Pt(0) nanoparticle-triazine dendrimer composites. In JOURNAL OF COORDINATION CHEMISTRY. ISSN 0095-8972, FEB 16 2020, vol. 73, no. 4, p. 544-557.

65. [1.1] RUSSELL, M.J. – PONCE, A. Six ‘;Must-Have’; Minerals for Life’;s Emergence: Olivine, Pyrrhotite, Bridgmanite, Serpentine, Fougerite and Mackinawite. In LIFE-BASEL. NOV 2020, vol. 10, no. 11.

66. [1.1] SAMPATH, S. – VADIVELU, M. – RAVINDRAN, R. – PERUMAL, P.T. – VELKANNAN, V. – KARTHIKEYAN, K. Synthesis of 1,2,3-Triazole Tethered 3-Hydroxy-2-oxindoles: Promising Corrosion Inhibitors for Steel in Acidic Medium and Their Anti-Microbial Evaluation. In CHEMISTRYSELECT. ISSN 2365-6549, FEB 21 2020, vol. 5, no. 7, p. 2130-2134.

67. [1.1] SAOTHAYANUN, T.K. – SIRINAKORN, T.T. – OGAWA, M. Ion Exchange of Layered Alkali Titanates (Na2Ti3O7, K2Ti4O9, and Cs2Ti5O11) with Alkali Halides by the Solid-State Reactions at Room Temperature. In INORGANIC CHEMISTRY. ISSN 0020-1669, MAR 16 2020, vol. 59, no. 6, p. 4024-4029.

68. [1.1] SCHIFFMANN, J.G. – EMMERLING, F. – MARTINS, I.C.B. – VAN WULLEN, L. In-situ reaction monitoring of a mechanochemical ball mill reaction with solid state NMR. In SOLID STATE NUCLEAR MAGNETIC RESONANCE. ISSN 0926-2040, OCT 2020, vol. 109.

69. [1.1] SHI, W.J. – SUN, G.P. – ZOU, G. Ball-milling enables highly selective solvent-free N-tert-butoxycarbonylation for activation of amides. In TETRAHEDRON LETTERS. ISSN 0040-4039, JUL 16 2020, vol. 61, no. 29.

70. [1.1] SOCKA, M. – MICHALSKI, A. – PELIN, I.M. – PAWLAK, A. – TANASA, F. – BIELA, T. – BASKO, M. Preparation of biomimetic composites of hydroxyapatite and star-shaped poly(2,2-dimethyl trimethylene carbonate)s terminated with carboxyl end-groups. In POLYMER. ISSN 0032-3861, JAN 9 2020, vol. 186.

71. [1.1] SOLIMAN, M.M.A. – PEIXOTO, A.F. – RIBEIRO, A.P.C. – KOPYLOVICH, M.N. – ALEGRIA, E.C.B.A. – POMBEIRO, A.J.L. Mechanochemical Preparation of Pd(II) and Pt(II) Composites with Carbonaceous Materials and Their Application in the Suzuki-Miyaura Reaction at Several Energy Inputs. In MOLECULES. JUN 2020, vol. 25, no. 12.

72. [1.1] SONG, J.X. – GUO, T. – YAO, M. – CHEN, J.L. – DING, W. – BEI, F.L. – MAO, Y.M. – YU, Z.S. – HUANG, J.Y. – ZHANG, X.N. – YIN, Q. – WANG, S. A comparative study of thermal kinetics and combustion performance of Al/CuO, Al/Fe2O3 and Al/MnO2 nanothermites. In VACUUM. ISSN 0042-207X, JUN 2020, vol. 176.

73. [1.1] THORPE, J.D. – O’;REILLY, D. – FRISCIC, T. – DAMHA, M.J. Mechanochemical Synthesis of Short DNA Fragments. In CHEMISTRY-A EUROPEAN JOURNAL. ISSN 0947-6539, JUL 22 2020, vol. 26, no. 41, p. 8857-8861.

74. [1.1] TITI, H.M. – DO, J.L. – HOWARTH, A.J. – NAGAPUDI, K. – FRISCIC, T. Simple, scalable mechanosynthesis of metal-organic frameworks using liquid-assisted resonant acoustic mixing (LA-RAM). In CHEMICAL SCIENCE. ISSN 2041-6520, AUG 7 2020, vol. 11, no. 29, p. 7578-7584.

75. [1.1] TOLE, I. – RAJCZAKOWSKA, M. – HUMAD, A. – KOTHARI, A. – CWIRZEN, A. Geopolymer Based on Mechanically Activated Air-cooled Blast Furnace Slag. In MATERIALS. MAR 2020, vol. 13, no. 5.

76. [1.1] TORRE, F. – FARINA, V. – TARAS, A. – PISTIDDA, C. – SANTORU, A. – BEDNARCIK, J. – MULAS, G. – ENZO, S. – GARRONI, S. Room temperature hydrocarbon generation in olivine powders: Effect of mechanical processing under CO2 atmosphere. In POWDER TECHNOLOGY. ISSN 0032-5910, MAR 15 2020, vol. 364, p. 915-923.

77. [1.1] TRICKER, A.W. – SAMARAS, G. – HEBISCH, K.L. – REALFF, M.J. – SIEVERS, C. Hot spot generation, reactivity, and decay in mechanochemical reactors. In CHEMICAL ENGINEERING JOURNAL. ISSN 1385-8947, FEB 15 2020, vol. 382.

78. [1.1] VAN BONN, P. – BOLM, C. – HERNANDEZ, J.G. Mechanochemical Palladium-Catalyzed Carbonylative Reactions Using Mo(CO)(6). In CHEMISTRY-A EUROPEAN JOURNAL. ISSN 0947-6539, FEB 26 2020, vol. 26, no. 12, p. 2576-2580.

79. [1.1] WANG, L.Y. – SUN, G.X. – ZHANG, K.K. – YAO, M.H. – JIN, Y.D. – ZHANG, P.Y. – WU, S.G. – GONG, J.B. Green Mechanochemical Strategy for the Discovery and Selective Preparation of Polymorphs of Active Pharmaceutical Ingredient gamma-Aminobutyric Acid (GABA). In ACS SUSTAINABLE CHEMISTRY & ENGINEERING. ISSN 2168-0485, NOV 16 2020, vol. 8, no. 45, p. 16781-16790.

80. [1.1] WANG, X.C. – WANG, J.Z. – LI, F.Z. – ZHU, F. – MA, C. Influence of cold sintering process on the structure and properties of garnet-type solid electrolytes. In CERAMICS INTERNATIONAL. ISSN 0272-8842, AUG 1 2020, vol. 46, no. 11, B, p. 18544-18550.

81. [1.1] ZENG, C.C. – HU, H.M. – FENG, X.H. – WANG, K. – ZHANG, Q.W. Activating CaCO3 to enhance lead removal from lead-zinc solution to serve as green technology for the purification of mine tailings. In CHEMOSPHERE. ISSN 0045-6535, JUN 2020, vol. 249.

82. [1.1] ZHANG, Z.Q. – LIN, Y.Z. – LIU, F. Preparation and characterization of CdS/ZnS core-shell nanoparticles. In JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY. ISSN 0193-2691, APR 15 2020, vol. 41, no. 5, p. 725-732.

83. [1.1] ZHAO, J. – JIN, B. – PENG, R.F. Gas-solid two-phase flow (GSF) mechanochemical synthesis of dual-metal-organic frameworks and research on electrochemical properties. In NANOSCALE ADVANCES. ISSN 2516-0230, DEC 1 2020, vol. 2, no. 12, p. 5682-5687.

84. [1.1] ZHAO, J. – PENG, R.F. Gas-Solid Two-Phase Flow Synthesis Equipment: A New Method for Continuous, Large-Scale Preparation of Metal-Organic Frameworks with No Solvent. In INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. ISSN 0888-5885, SEP 2 2020, vol. 59, no. 35, p. 15791-15795.

85. [1.1] ZHAO, L.Y. – DONG, X.L. – LU, A.H. Mechanochemical Synthesis of Porous Carbons and Their Applications in Catalysis. In CHEMPLUSCHEM. ISSN 2192-6506, MAY 2020, vol. 85, no. 5, p. 866-875.

86. [1.2] HE, X. – DENG, Y. – ZHANG, Y. – HE, Q. – XIAO, D. – PENG, M. – ZHAO, Y. – ZHANG, H. – LUO, R. – GAN, T. – JI, H. – MA, D. Mechanochemical Kilogram-Scale Synthesis of Noble Metal Single-Atom Catalysts. In CELL REPORTS PHYSICAL SCIENCE, 2020, vol. 1, no. 1.

87. [3.1] GERMANN, L.S. – ARHANGELSKIS, M. – STEIN, S. – ETTER, M. – DINNEBIER, R.E. – FRISCIC, T. Profound Effect of the Milling Assembly on Polymorphism in Mechanochemical Cocrystallization. In ChemRxiv, 2020. DOI 10.26434/chemrxiv.11829414.v1.

88. [3.1] KHILKO, S. L. – ROGATKO, M. I. – MAKAROVA, R. A. – SEMENOVA, R. G. – NEVECHERYA, O. I. – KHILKO, A. S. Mechanochemical synthesis of amino derivatives of humic acids and rheological characteristics of their surface layers at the liquid-gas interface. In VESTNIK NOVGORODSKOGO GOSUDARSTVENNOGO UNIVERSITETA. ISSN 2076-8052, 2020, vol. 5, no. 121, p. 113-116.

89. [3.1] ZHANG, J. – WANG, L. – WANG, M. – XIAO, Y. – HAN, Y. Mechanochemical remediation of petroleum hydrocarbons contaminated soil and its effects on soil properties. In CHEMICAL INDUSTRY AND ENGINEERING PROGRESS. ISSN 1000-6613, 2020, vol. 39, no. 11, p. 4726-4733.

 

• 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). ISSN 0033-8222.

WOS citations: 1; other citations: 1

1. [1.1] FROLIK, J. – SNEBERGER, J. – SVETLIK, I. – KAUPOVA, S.D. – BRABCOVA, K.P. – OVSONKOVA, Z.A. The oldest rulers of early medieval bohemia and radiocarbon data. In RADIOCARBON. ISSN 0033-8222, 2020, vol. 62, no. 6, p. 1529-1542.

2. [3.1] ERNÉE, M. – LANGOVÁ, M. Mikulovice: Pohřebiště starší doby bronzové na Jantarové stezce [Mikulovice: Early Bronze Age Cemetery on the Amber Road]. Prague, Czech Republic: Institute of Archaeology of the Czech Academy of Sciences, 2020. ISBN 978-80-7581-025-0.

 

• 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, karentované – CCC). (2015 – Current Contents). ISSN 1387-7003. Dostupné na: https://doi.org/10.1016/j.inoche.2015.07.030

WOS citations: 4

1. [1.1] MISSINA, J.M. – LEME, L.B.P. – POSTAL, K. – SANTANA, F.S. – HUGHES, D.L. – DE SA, E.L. – RIBEIRO, R.R. – NUNES, G.G. Accessing decavanadate chemistry with tris(hydroxymethyl) aminomethane, and evaluation of methylene blue bleaching. In POLYHEDRON. ISSN 0277-5387, APR 1 2020, vol. 180.

2. [1.1] RICHTER, J. – KNIES, M. – RUCK, M. Speciation of Copper(II)-Betaine Complexes as Starting Point for Electrochemical Copper Deposition from Ionic Liquids. In CHEMISTRYOPEN. ISSN 2191-1363, 2020.

3. [1.1] RICHTER, J. – RUCK, M. Synthesis and Dissolution of Metal Oxides in Ionic Liquids and Deep Eutectic Solvents. In MOLECULES. JAN 2020, vol. 25, no. 1.

4. [1.1] ZANG, T.T. – CAO, J.P. – DU, Z.Y. – MEI, H. – XU, Y. Two new Schiff-base modified vanadium complexes with third-order NLO properties. In JOURNAL OF COORDINATION CHEMISTRY. ISSN 0095-8972, SEP 29 2020, vol. 73, no. 17-19, p. 2763-2772.

 

• 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, karentované – CCC). (2015 – Current Contents). ISSN 0272-8842. Dostupné na: https://doi.org/10.1016/j.ceramint.2015.03.095

WOS citations: 2; SCOPUS citations: 1

1. [1.1] CARSTENS, S. – MEYER, R. – ENKE, D. Towards Macroporous alpha-Al2O3-Routes, Possibilities and Limitations. In MATERIALS. APR 2020, vol. 13, no. 7.

2. [1.1] LIU, J.L. – YIN, Z.L. – LIU, W. – LI, X.H. – HU, Q.Y. Treatment of aluminum and fluoride during hydrochloric acid leaching of lepidolite. In HYDROMETALLURGY. ISSN 0304-386X, JAN 2020, vol. 191.

3. [1.2] LI, P. – YANG, M. – CHEN, D. – GUO, H. – YAN, B. CO fuel and γ-LiAlO2 production through alkali carbonate-assisted CO2 splitting by reusing aluminum wastes. In JOURNAL OF CO2 UTILIZATION. ISSN 2212-9820, 2020, vol. 39.

 

• 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, karentované – CCC). (2010 – Current Contents). ISSN 1381-1169. Dostupné na: https://doi.org/10.1016/j.molcata.2010.05.019

WOS citations: 1

1. [1.1] ZENG, X. – XIAO, X. – CHEN, J. – WANG, Y. – WANG, H. Understanding the effects of co-exposed facets on photocatalytic activities and fuel desulfurization performance in BiOCl singlet-crystalline sheets. In JOURNAL OF HAZARDOUS MATERIALS. ISSN 0304-3894, 2020, vol. 391.

 

• 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, karentované – CCC). (2019 – Current Contents). ISSN 0730-725X. Dostupné na: https://doi.org/10.1016/j.mri.2019.02.002

WOS citations: 3

1. [1.1] BEHZADI, F. – MANDELL, J.C. – SMITH, S.E. – GUENETTE, J.P. Temporomandibular joint imaging: current clinical applications, biochemical comparison with the intervertebral disc and knee meniscus, and opportunities for advancement. In SKELETAL RADIOLOGY. ISSN 0364-2348, AUG 2020, vol. 49, no. 8, p. 1183-1193.

2. [1.1] WANG, D.D. – YIN, H.J. – LIU, W.L. – LI, Z. – REN, J.P. – WANG, K.Y. – HAN, D.M. Comparative analysis of the diagnostic values of T2 mapping and diffusion-weighted imaging for sacroiliitis in ankylosing spondylitis. In SKELETAL RADIOLOGY. ISSN 0364-2348, OCT 2020, vol. 49, no. 10, p. 1597-1606.

3. [1.1] XIONG, X. – YE, Z. – TANG, H.H. – WEI, Y. – NIE, L.S. – WEI, X.C. – LIU, Y. – SONG, B. MRI of Temporomandibular Joint Disorders: Recent Advances and Future Directions. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, 2020.

 

• 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. (2016 – Current Contents). ISSN 1385-772X.

WOS citations: 3; other citations: 1

1. [1.1] BOSSI, A.M. – HAUPT, K. Tailoring a Dress to Single Protein Molecules: Proteins Can Do It Themselves through Localized Photo-Polymerization and Molecular Imprinting. In CHEMISTRY-A EUROPEAN JOURNAL. ISSN 0947-6539, NOV 17 2020, vol. 26, no. 64, p. 14556-14559.

2. [1.1]BARISIC, V. – FLANJAK, I. – TOT, A. – BUDEC, M. – BENSIC, M. – JOZINOVIC, A. – BABIC, J. – SUBARIC, D. – MILICEVIC, B. – ACKAR, D. 5-Hydroxymethylfurfural and acrylamide content of cocoa shell treated with high voltage electrical discharge. In FOOD CONTROL. ISSN 0956-7135, APR 2020, vol. 110.

3. [1.1] SIVASANKAR, V.S. – SACHAR, H.S. – SINHA, S. – HINES, D.R. – DAS, S. 3D Printed Microdroplet Curing: Unravelling the Physics of On-Spot Photopolymerization. In ACS APPLIED POLYMER MATERIALS. ISSN 2637-6105, FEB 2020, vol. 2, no. 2, p. 966-976.

4. [3.1] MAJUMDAR, S. – GOSWAMI, B. – MAHANTA, D. Polymer synthesis in water and supercritical water. In GREEN SUSTAINABLE PROCESS FOR CHEMICAL AND ENVIRONMENTAL ENGINEERING AND SCIENCE. Elsevier, 2020, p. 1-29. ISBN 978-0-12-819542-0.

 

• 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, karentované – CCC). (2017 – Current Contents). ISSN 0001-8686. Dostupné na: https://doi.org/10.1016/j.cis.2017.01.007

WOS citations: 13; SCOPUS citations: 1; other citations: 2

1. [1.1] ANAND, K. – DUGUET, T. – ESVAN, J. – LACAZE-DUFAURE, C. Chemical Interactions at the Al/Poly-Epoxy Interface Rationalized by DFT Calculations and a Comparative XPS Analysis. In ACS APPLIED MATERIALS & INTERFACES. ISSN 1944-8244, DEC 23 2020, vol. 12, no. 51, p. 57649-57665.

2. [1.1] ARIB, C. – SPADAVECCHIA, J. Lenalidomide (LENA) Hybrid Gold Complex Nanoparticles: Synthesis, Physicochemical Evaluation, and Perspectives in Nanomedicine. In ACS OMEGA. ISSN 2470-1343, NOV 10 2020, vol. 5, no. 44, p. 28483-28492.

3. [1.1] BEN HADDADA, M. – JEANNOT, K. – SPADAVECCHIA, J. Novel Synthesis and Characterization of Doxycycline-Loaded Gold Nanoparticles: The Golden Doxycycline for Antibacterial Applications. In PARTICLE & PARTICLE SYSTEMS CHARACTERIZATION. ISSN 0934-0866, 2019, vol. 36, no. 2.

4. [1.1] CHELOBANOV, B. – POLETAEVA, J. – EPANCHINTSEVA, A. – TUPITSYNA, A. – PYSHNAYA, I. – RYABCHIKOVA, E. Ultrastructural Features of Gold Nanoparticles Interaction with HepG2 and HEK293 Cells in Monolayer and Spheroids. In NANOMATERIALS. OCT 2020, vol. 10, no. 10.

5. [1.1] DA SILVA, W.M. – SILVA, R.H.D.A.E. – CIPRESTE, M.F. – ANDRADE, G.F. – GASTELOIS, P.L. – MACEDO, W.A.D. – DE SOUSA, E.M.B. Boron nitride nanotubes radiolabeled with Sm-153 and Gd-159: Potential application in nanomedicine. In APPLIED RADIATION AND ISOTOPES. ISSN 0969-8043, MAR 2020, vol. 157.

6. [1.1] KHALID, K. – TAN, X.F. – ZAID, H.F.M. – TAO, Y. – CHEW, C.L. – CHU, D.T. – LAM, M.K. – HO, Y.C. – LIM, J.W. – WEI, L.C. Advanced in developmental organic and inorganic nanomaterial: a review. In BIOENGINEERED. ISSN 2165-5979, JAN 1 2020, vol. 11, no. 1, p. 328-355.

7. [1.1] LIM, K. – MACAZO, F.C. – SCHOLES, C. – CHEN, H. – SUMAMPONG, K. – MINTEER, S.D. Elucidating the Mechanism behind the Bionanomanufacturing of Gold Nanoparticles Using Bacillus subtilis. In ACS APPLIED BIO MATERIALS. ISSN 2576-6422, JUN 15 2020, vol. 3, no. 6, p. 3859-3867.

8. [1.1] MAHMOUD, N.N. – ABUARQOUB, D. – ZAZA, R. – SABBAH, D.A. – KHALIL, E.A. – ABU-DAHAB, R. Gold Nanocomplex Strongly Modulates the PI3K/Akt Pathway and Other Pathways in MCF-7 Breast Cancer Cell Line. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. MAY 2020, vol. 21, no. 9.

9. [1.1] RAHIMINEZHAD, Z. – TAMADDON, A.M. – BORANDEH, S. – ABOLMAALI, S.S. Janus nanoparticles: New generation of multifunctional nanocarriers in drug delivery, bioimaging and theranostics. In APPLIED MATERIALS TODAY. ISSN 2352-9407, MAR 2020, vol. 18.

10. [1.1] SU, T.Q. – YANG, B. – GAO, T.R. – LIU, T.J. – LI, J.N. Polymer nanoparticle-assisted chemotherapy of pancreatic cancer. In THERAPEUTIC ADVANCES IN MEDICAL ONCOLOGY. ISSN 1758-8340, MAY 2020, vol. 12.

11. [1.1] TOMONO, T. – YAGI, H. – UKAWA, M. – ISHIZAKI, S. – MIWA, T. – NONOMURA, M. – IGI, R. – KUMAGAI, H. – MIYATA, K. – TOBITA, E. – KOBAYASHI, H. – SAKUMA, S. Nasal absorption enhancement of protein drugs independent to their chemical properties in the presence of hyaluronic acid modified with tetraglycine-L-octaarginine. In EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS. ISSN 0939-6411, SEP 2020, vol. 154, p. 186-194.

12. [1.1] XING, T.Y. – YE, H. – HU, X.X. – WANG, Z.H. – WEI, M.M. – HE, L.Q. – WU, L.J. The synthesizing approach analysis of hollow Ag/Au nanoparticles in replacement reaction between silver nanoparticle and chloroauric acid. In APPLIED SURFACE SCIENCE. ISSN 0169-4332, MAY 30 2020, vol. 513.

13. [1.1] ZIABKA, M. – DZIADEK, M. – PIELICHOWSKA, K. Surface and Structural Properties of Medical Acrylonitrile Butadiene Styrene Modified with Silver Nanoparticles. In POLYMERS. JAN 2020, vol. 12, no. 1.

14. [1.2] SAWALHA, S.M. – GHADHBAN, E. – AL-DAHAN, Z.T. Impact of gold nanoparticles sizes and concentrations on the Rhabdomyosarcoma cells. In IOP CONFERENCE SERIES: MATERIALS SCIENCE AND ENGINEERING. ISSN 1757-8981, 2020, vol. 870, no. 1.

15. [3.1] MOVIA, D. – BENHADDADA, M. – SPADAVECCHIA, J. – PRINA-MELLO, A. Latest advances in combining gold nanomaterials with physical stimuli towards new responsive therapeutic and diagnostic strategies. In PRECISION NANOMEDICINE. ISSN 2639-9431, 2020, vol. 3, p.495-524.

16. [3.1] PARTHA – SHARMA, P. – BOSE, S. Gold nanoparticle: It’s importance in biomedical fields. In EUROPEAN JOURNAL OF MOLECULAR & CLINICAL MEDICINE. ISSN 2515-8260, 2020, vol. 07, no. 07, p. 2854-2854.

 

• 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, karentované – CCC). (2017 – Current Contents). ISSN 1054-1500. Dostupné na: https://doi.org/10.1063/1.4997757

WOS citations: 5; SCOPUS citations: 1

1. [1.1] CRACIUNESCU, T. – MURARI, A. – LERCHE, E. – GELFUSA, M. Image-Based Methods to Investigate Synchronization between Time Series Relevant for Plasma Fusion Diagnostics. In ENTROPY. JUL 2020, vol. 22, no. 7.

2. [1.1] HUANG, Y. – FRANZKE, C.L.E. – YUAN, N.M. – FU, Z.T. Systematic identification of causal relations in high-dimensional chaotic systems: application to stratosphere-troposphere coupling. In CLIMATE DYNAMICS. ISSN 0930-7575, NOV 2020, vol. 55, no. 9-10, p. 2469-2481.

3. [1.1] HUANG, Y. – FU, Z.T. – FRANZKE, C.L.E. Detecting causality from time series in a machine learning framework. In CHAOS. ISSN 1054-1500, JUN 2020, vol. 30, no. 6.

4. [1.1] LEHNERTZ, K. – BROHL, T. – RINGS, T. The Human Organism as an Integrated Interaction Network: Recent Conceptual and Methodological Challenges. In FRONTIERS IN PHYSIOLOGY. ISSN 1664-042X, DEC 21 2020, vol. 11.

5. [1.1] PELUSO, E. – CRACIUNESCU, T. – MURARI, A. A Refinement of Recurrence Analysis to Determine the Time Delay of Causality in Presence of External Perturbations. In ENTROPY. AUG 2020, vol. 22, no. 8.

6. [1.2] PUKENAS, K. An efficient algorithm for inferring functional connectivity between the drive and the noisy response chaotic oscillators with significant frequency mismatch. In PRAMANA JOURNAL OF PHYSICS. ISSN 0304-4289, 2020, vol. 94, no. 1.

 

• 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, karentované – CCC). (2012 – Current Contents). ISSN 0926-3373. Dostupné na: https://doi.org/10.1016/j.apcatb.2012.01.010

WOS citations: 2

1. [1.1] KATAL, R. – MASUDY-PANAH, S. – KONG, E. – KHIAVI, N. – FARAHANI, M. – GONG, X. Nanocrystal-engineered thin CuO film photocatalyst for visible-light-driven photocatalytic degradation of organic pollutant in aqueous solution. In CATALYSIS TODAY. ISSN 0920-5861, 2020, vol. 340, p. 236-244.

2. [1.1] WU, C. – UNNIKRISHNAN, B. – CHEN, I. – HARROUN, S. – CHANG, H. – HUANG, C. Excellent oxidation resistive MXene aqueous ink for micro-supercapacitor application. In ENERGY STORAGE MATERIALS. ISSN 2405-8297, 2020, vol. 25, p. 563-571.

 

• 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, karentované – CCC). (2019 – Current Contents). ISSN 1932-8486. Dostupné na: https://doi.org/10.1002/ar.23944

WOS citations: 5; SCOPUS citations: 1

1. [1.1] LOREAL, E. – VILLA, A. – GEORGALIS, G. – DELFINO, M. Amphibians and reptiles from the late Miocene and early Pliocene of the Ptolemais area (Western Macedonia, Greece). In ANNALES DE PALEONTOLOGIE. ISSN 0753-3969, JUL-SEP 2020, vol. 106, no. 3.

2. [1.1] QUIPILDOR, A.M. – QUINTEROS, A.S. – LOBO, F.J. Neuroanatomy of the lumbosacral plexus in a highly diversified clade of South-American lizards. Evolution and phylogenetic implications. In JOURNAL OF MORPHOLOGY. ISSN 0362-2525, AUG 2020, vol. 281, no. 8, p. 970-985.

3. [1.1] VILLA, A. – BACCIOTTI, M. – SALA, B. – DELFINO, M. Early Biharian amphibians and reptiles from Monte La Mesa (Verona, northeastern Italy): a typical herpetological assemblage from the Early Pleistocene of Veneto. In BOLLETTINO DELLA SOCIETA PALEONTOLOGICA ITALIANA. ISSN 0375-7633, 2020, vol. 59, no. 2, p. 85-104.

4. [1.1] VILLA, A. – GEORGALIS, G.L. – DELFINO, M. The latest Early Pleistocene amphibians and reptiles from Kaiafas (Greece) and the first record of fossil Ophiomorus (Squamata, Scincidae). In GEOBIOS. ISSN 0016-6995, OCT 2020, vol. 62, p. 79-90.

5. [1.1] VILLA, A. – MINNELLI, E. – BONA, F. – BELLUCCI, L. – SARDELLA, R. – DELFINO, M. The amphibians and reptiles from the Early Pleistocene of Coste San Giacomo (Anagni Basin, Italy). In HISTORICAL BIOLOGY. ISSN 0891-2963, 2020.

6. [1.2] SYROMYATNIKOVA, E. – TESAKOV, A. – MAYDA, S. – KAYA, T. – SARAC, G. Plio-Pleistocene Amphibians and Reptiles from Central Turkey: New Faunas and Faunal Records with Comments on their Biochronological Position Based on Small Mammals. In FOSSIL IMPRINT. ISSN 2533-4050, 2020, vol. 75, no. 3-4, p. 343-358.

 

• 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, karentované – CCC). (2008 – Current Contents). ISSN 1089-7860. Dostupné na: https://doi.org/10.1055/s-0028-1100638

WOS citations: 3

1. [1.1] BERNINGER, M.T. – RODRIGUEZ-GONZALEZ, P. – SCHILLING, F. – HALLER, B. – LICHTENSTEIN, T. – IMHOFF, A.B. – RUMMENY, E.J. – ANTON, M. – VOGT, S. – HENNING, T.D. Bifunctional Labeling of Rabbit Mesenchymal Stem Cells for MR Imaging and Fluorescence Microscopy. In MOLECULAR IMAGING AND BIOLOGY. ISSN 1536-1632, 2020, vol. 22, no. 2, p. 303-312.

2. [1.1] EBERT, J.R. – FALLON, M. – ACKLAND, T.R. – JANES, G.C. – WOOD, D.J. Minimum 10-Year Clinical and Radiological Outcomes of a Randomized Controlled Trial Evaluating 2 Different Approaches to Full Weightbearing After Matrix-Induced Autologous Chondrocyte Implantation. In AMERICAN JOURNAL OF SPORTS MEDICINE. ISSN 0363-5465, 2020, vol. 48, no. 1, p. 133-142.

3. [1.1] MELUGIN, H.P. – RIDLEY, T.J. – BERNARD, C.D. – WISCHMEIER, D. – FARR, J. – STUART, M.J. – MACALENA, J.A. – KRYCH, A.J. Prospective Outcomes of Cryopreserved Osteochondral Allograft for Patellofemoral Cartilage Defects at Minimum 2-Year Follow-up. In CARTILAGE. ISSN 1947-6035, 2020.

 

• EDER, J. – SZOMOLÁNYI, Pavol – SCHMID-SCHWAP, M. – BRISTELA, M. – SKOLKA, A. – PITTSCHIELER, E. – PIEHSLINGER, E. – TRATTNIG, S. Early diagnosis of degenerative changes in the articular/fibrocartilaginous disc of the temporomandibular joint in patients with temporomandibular disorders using delayed gadolinium-enhanced MRI at 3 Tesla – preliminary results. In Magnetic Resonance Imaging, 2020, vol. 67, p. 24-27. (2019: 2.053 – IF, Q3 – JCR, 0.792 – SJR, Q2 – SJR, karentované – CCC). (2020 – Current Contents). ISSN 0730-725X. Dostupné na: https://doi.org/10.1016/j.mri.2019.12.002

WOS citations: 2; other citations: 1

1. [1.1] BEHZADI, F. – MANDELL, J.C. – SMITH, S.E. – GUENETTE, J.P. Temporomandibular joint imaging: current clinical applications, biochemical comparison with the intervertebral disc and knee meniscus, and opportunities for advancement. In SKELETAL RADIOLOGY. ISSN 0364-2348, 2020, vol. 49, no. 8, p. 1183-1193.

2. [1.1] XIONG, X. – YE, Z. – TANG, H. – WEI, Y. – NIE, L. – WEI, X. – LIU, Y. – SONG, B. MRI of Temporomandibular Joint Disorders: Recent Advances and Future Directions. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, 2020.

3. [3.1] DAI, R. The Analysis of Tesla’;s Competitive Strategy for the Chinese Market. In 2020 5TH INTERNATIONAL CONFERENCE ON ECONOMICS DEVELOPMENT, BUSINESS & MANAGEMENT (EDBM 2020). Francis Academic Press, 2020, p. 1158-1166, DOI 10.25236/edbm.2020.229.

 

• 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, karentované – CCC). (2019 – Current Contents). ISSN 0952-3480. Dostupné na: https://doi.org/10.1002/nbm.4095

WOS citations: 1

1. [1.1] ROAT, S. – VIT, M. – WAMPL, S. – SCHMID, A.I. – LAISTLER, E. A Flexible Array for Cardiac P-31 MR Spectroscopy at 7 T. In FRONTIERS IN PHYSICS. ISSN 2296-424X, 2020, vol. 8.

 

• 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). ISSN 1063-4584. Dostupné na: https://doi.org/10.1053/joca.1997.0089

WOS citations: 2; other citations: 1

1. [1.1] DESROCHERS, J. – YUNG, A. – STOCKTON, D. – WILSON, D. Depth-dependent changes in cartilage T2 under compressive strain: a 7T MRI study on human knee cartilage. In OSTEOARTHRITIS AND CARTILAGE. ISSN 1063-4584, SEP 2020, vol. 28, no. 9, p. 1276-1285.

2. [1.1] YAMASAKI, S. – HASHIMOTO, Y. – NISHIDA, Y. – TERAOKA, T. – TERAI, S. – TAKIGAMI, J. – NAKAMURA, H. Assessment of Meniscal Healing Status by Magnetic Resonance Imaging T2 Mapping After Meniscal Repair. In AMERICAN JOURNAL OF SPORTS MEDICINE. ISSN 0363-5465, MAR 2020, vol. 48, no. 4, p. 853-860.

[3.1] EINARSSON, E. – SVENSSON, J. – FOLKESSON, E. – KESTILA, I. – TJORNSTRAND, J. – PETERSON, P. – FINNILA, M. – HUGHES, H.V. – TURKIEWICZ, A. – SAARAKKALA, S. – ENGLUND, M. Relating MR relaxation times of ex vivo meniscus to tissue degeneration through comparison with histopathology. In OSTEOARTHRITIS AND CARTILAGE OPEN. ISSN 2665-9131, 2020, vol. 2, no. 2, p. 100061.

 

• 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, karentované – CCC). (2012 – Current Contents). ISSN 0195-6108. Dostupné na: https://doi.org/10.3174/ajnr.A3101

WOS citations: 1

1. [1.1] DEHGHANI, H. – OGHABIAN, M.A. – BATOULI, S.A.H. – KHERADMAND, J.A. – KHATIBI, A. Effect of Physiological Noise on Thoracolumbar Spinal Cord Functional Magnetic Resonance Imaging in 3T Magnetic Field. In BASIC AND CLINICAL NEUROSCIENCE. ISSN 2008-126X, 2020, vol. 11, no. 6, p. 737-751.

 

• 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, karentované – CCC). (2014 – Current Contents). ISSN 1053-1807. Dostupné na: https://doi.org/10.1002/jmri.24489

WOS citations: 2

1. [1.1] HAMILTON, G. – SCHLEIN, A.N. – WOLFSON, T. – CUNHA, G.M. – FOWLER, K.J. – MIDDLETON, M.S. – LOOMBA, R. – SIRLIN, C.B. The relationship between liver triglyceride composition and proton density fat fraction as assessed by H-1 MRS. In NMR IN BIOMEDICINE. ISSN 0952-3480, JUN 2020, vol. 33, no. 6.

2. [1.1] XAVIER, A. – DE CASTRO, C.A. – ANDIA, M.E. – LUIJTEN, P.R. – KLOMP, D.W. – FILLMER, A. – PROMPERS, J.J. Metabolite cycled liver H-1 MRS on a 7 T parallel transmit system. In NMR IN BIOMEDICINE. ISSN 0952-3480, AUG 2020, vol. 33, no. 8.

 

• 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, karentované – CCC). (2015 – Current Contents). ISSN 0952-3480. Dostupné na: https://doi.org/10.1016/j.jbiomech.2015.06.016

WOS citations: 3

1. [1.1] JUCHEM, C. – CUDALBU, C. – DE GRAAF, R.A. – GRUETTER, R. – HENNING, A. – HETHERINGTON, H.P. – BOER, V.O. B(0)shimming for in vivo magnetic resonance spectroscopy: Experts’; consensus recommendations. In NMR IN BIOMEDICINE. ISSN 0952-3480, 2020.

2. [1.1] ROUMANS, K.H.M. – LINDEBOOM, L. – VEERAIAH, P. – REMIE, C.M.E. – PHIELIX, E. – HAVEKES, B. – BRULS, Y.M.H. – BROUWERS, M.C.G.J. – STAHLMAN, M. – ALSSEMA, M. – PETERS, H.P.F. – DE MUTSERT, R. – STAELS, B. – TASKINEN, M.R. – BOREN, J. – SCHRAUWEN, P. – SCHRAUWEN-HINDERLING, V.B. Hepatic saturated fatty acid fraction is associated with de novo lipogenesis and hepatic insulin resistance. In NATURE COMMUNICATIONS. ISSN 2041-1723, APR 20 2020, vol. 11, no. 1.

3. [1.1] XAVIER, A. – DE CASTRO, C.A. – ANDIA, M.E. – LUIJTEN, P.R. – KLOMP, D.W. – FILLMER, A. – PROMPERS, J.J. Metabolite cycled liver H-1 MRS on a 7 T parallel transmit system. In NMR IN BIOMEDICINE. ISSN 0952-3480, AUG 2020, vol. 33, no. 8.

 

• 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, p. 155103. (2017: 2.373 – IF, Q2 – JCR, 0.717 – SJR, Q1 – SJR, karentované – CCC). (2018 – Current Contents). ISSN 0022-3727. Dostupné na: https://doi.org/10.1088/1361-6463/aab16b

WOS citations: 3

1. [1.1] BLUMBERG, C. – HAUSER, P. – WEFERS, F. – JANSEN, D. – TEGUDE, F.J. – WEIMANN, N. – PROST, W. A systematic study of Ga- and N-polar GaN nanowire-shell growth by metal organic vapor phase epitaxy. In CRYSTENGCOMM. ISSN 1466-8033, SEP 7 2020, vol. 22, no. 33, p. 5522-5532.

2. [1.1] LIUBCHENKO, O. – SABOV, T. – KLADKO, V. – MELNIK, V. – YUKHYMCHUK, V. – ROMANYUK, B. – KOLOMYS, O. – HRESHCHUK, O. – DUBIKOVSKYI, O. – MAKSIMENKO, Z. – GUDYMENKO, O. – BELYAEV, A. Modification of elastic deformations and analysis of structural and optical changes in Ar+-implanted AlN/GaN superlattices. In APPLIED NANOSCIENCE. ISSN 2190-5509, AUG 2020, vol. 10, no. 8, SI, p. 2479-2487.

3. [1.1] TALWAR, D.N. – LIN, H.H. – FENG, Z.C. Polarization dependent infrared reflectivity studies of Si-doped MOCVD grown GaN/Sapphire epilayers. In MATERIALS CHEMISTRY AND PHYSICS. ISSN 0254-0584, SEP 15 2020, vol. 252.

 

• GRENDÁR, Marián – NIVEN, R.K. The Pólya information divergence. In Information Sciences, 2010, vol. 180, no. 21, p. 4189-4194. (2009: 3.291 – IF, 1.543 – SJR, Q1 – SJR, karentované – CCC). (2010 – Current Contents). ISSN 0020-0255. Dostupné na: https://doi.org/10.1016/j.ins.2010.06.031

Other citations: 1

1. [3.1] LANTERI, H. Divergences. Scale invariant Divergences. Applications to linear inverse problems. N.M.F. Blind deconvolution. In arXiv:2003.01411 [math.OC], 2020.

 

• GRENDÁR, Marián – JUDGE, George 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, karentované – CCC). (2009 – Current Contents). ISSN 0090-5364. Dostupné na: https://doi.org/10.1214/08-AOS645

WOS citations: 1; other citations: 2

1. [1.1] BEDOUI, A. – LAZAR, N.A. Bayesian empirical likelihood for ridge and lasso regressions. In COMPUTATIONAL STATISTICS & DATA ANALYSIS. ISSN 0167-9473, 2020, vol. 145.

2. [3.1] GOH, G. – YU, J. Synthetic control method with convex hull restrictions: A Bayesian maximum a posteriori approach. In arXiv:2005.13719 [stat.ME], 2020.

3. [3.1] MOON, C. – BEDOUI, A. Bayesian Elastic Net based on Empirical Likelihood. In arXiv:2006.10258 [stat.ME], 2020.

 

• GRUWEL, M.L.H. – LATTA, Peter – TANASIEWICZ, M. – VOLOTOVSKYY, V. – ŠRÁMEK, M. – 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, karentované – CCC). (2007 – Current Contents). ISSN 0947-8396. Dostupné na: https://doi.org/10.1007/s00339-007-4066-x

WOS citations: 3

1. [1.1] FLUEGGE, T. – LUDWIG, U. – HOEVENER, J.-B. – KOHAL, R. – WISMEIJER, D.- NELSON, K. Virtual implant planning and fully guided implant surgery using magnetic resonance imaging-Proof of principle. In CLINICAL ORAL IMPLANTS RESEARCH. ISSN 0905-7161, 2020, vol. 31, no. 6, p. 575-583.

2. [1.1] FLUEGGE, T. – LUDWIG, U. – WINTER, G. – AMREIN, P. – KERNEN, F. – NELSON, K. Fully guided implant surgery using Magnetic Resonance Imaging An in vitro study on accuracy in human mandibles. In CLINICAL ORAL IMPLANTS RESEARCH. ISSN 0905-7161, 2020, vol. 31, no. 8, p. 737-746.

3. [1.1] FROIDEVAUX, R. – WEIGER, M. – ROESLER, M.B. – BRUNNER, D.O. – DIETRICH, B.E. – REBER, J. – PRUESSMANN, K.P. High-resolution short-T2MRI using a high-performance gradient. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, 2020, vol. 84, no. 4, p. 1933-1946.

 

• HAGER, B. – WALZER, S.M. – DELIGIANNI, X. – BIERI, O. – BERG, A. – SCHREINER, M. – ZALAUDEK, M. – WINDHAGER, R. – TRATTNIG, S. – JURÁŠ, Vladimír. Orientation dependence and decay characteristics of T2* relaxation in the human meniscus studied with 7 Tesla MR microscopy and compared to histology. In Magnetic Resonance in Medicine, 2019, vol. 81, no. 2, p. 921-933. (2018: 3.858 – IF, Q1 – JCR, 1.985 – SJR, Q1 – SJR, karentované – CCC). (2019 – Current Contents). ISSN 0740-3194. Dostupné na: https://doi.org/10.1002/mrm.27443

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

1. [1.1] BRINKHOF, S. – TE MOLLER, N. – FROELING, M. – BROMMER, H. – VAN WEEREN, R. – ITO, K. – KLOMP, D. T2*mapping in an equine articular groove model: Visualizing changes in collagen orientation. In JOURNAL OF ORTHOPAEDIC RESEARCH. ISSN 0736-0266, 2020, vol. 38, no. 11, p. 2383-2389.

2. [1.2] ARINGHIERI, G. – ZAMPA, V. – TOSETTI, M. Musculoskeletal MRI at 7 T: do we need more or is it more than enough? In EUROPEAN RADIOLOGY EXPERIMENTAL. ISSN 2509-9280, 2020, vol. 4, no. 1.

3. [3.1] EINARSSON, E. –SVENSSON, J. – FOLKESSON, E. – KESTILÄ, I. – TJÖRNSTRAND, J. – PETERSON, P. – FINNILÄ, M.A.J. – HUGHES, H.V. – TURKIEWICZ, A. – SAARAKKALA, S. – MARTIN, E. Relating MR relaxation times of ex vivo meniscus to tissue degeneration through comparison with histopathology. In OSTEOARTHRITIS AND CARTILAGE OPEN. ISSN 2665-9131, 2020, vol. 2, no. 2, p. 100061.

 

• HANIC, František – CIGÁŇ, Alexander – BUCHTA, Štefan – MAŇKA, Ján – VOLČKO, Dušan – ZRUBEC, Vladimír. Single domain textured (YBa₂Cu₃O_7-d)_1-x(Ag₂O)_x samples. In Physica C, 2000, vol. 341-348, p. 575-576. (1999: 1.114 – IF, karentované – CCC). (2000 – Current Contents, SCOPUS). ISSN 0921-4534. Dostupné na: https://doi.org/10.1016/S0921-4534(00)00599-2

WOS citations: 1

1. [1.1] ANTONCIK, F. – LOJKA, M. – HLASEK, T. – VALIENTE-BLANCO, I. – PEREZ-DIAZ, J.L. – JANKOVSKY, O. Artificially perforated single-grain YBCO bulks: Dependence of superconducting properties on the bulk thickness. In JOURNAL OF THE AMERICAN CERAMIC SOCIETY. ISSN 0002-7820, 2020, vol. 103, no. 9, p. 5169-5177.

 

• 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, karentované – CCC). (2016 – Current Contents). ISSN 1612-4758. Dostupné na: https://doi.org/10.1007/s10340-015-0694-7

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

1. [1.1] MANNU, R. – COCCO, A. – LUCIANO, P. – LENTINI, A. Influence of Bacillus thuringiensis application timing on population dynamics of gypsy moth in Mediterranean cork oak forests. In PEST MANAGEMENT SCIENCE. ISSN 1526-498X, 2020, vol. 76, no. 3, p. 1103-1111.

2. [1.2] PEREVARYUKHA, A. A Continuous Model for Oscillating Outbreaks of the Population of a Phytophagous Moth, the Tent Caterpillar, Malacosoma disstria (Lepidoptera, Lasiocampidae). In BIOPHYSICS (RUSSIAN FEDERATION). ISSN 0006-3509, 2020, vol. 65, no. 1, p. 118-130.

3. [3.1] MECELLEM, D. – CHAKALI, G. Fluctuation of Lymantria dispar (Lepidoptera: Lymantriidae) populations during gradation phase in sub-humid and semi-arid cork oak forest (Algeria). In INTERNATIONAL JOURNAL OF AGRICULTURAL POLICY AND RESEARCH. ISSN 2350-1561, 2020, vol. 8, no. 5, p. 116-123.

 

• 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, karentované – CCC). (2014 – Current Contents). ISSN 0041-624X. Dostupné na: https://doi.org/10.1016/j.ultras.2013.05.003

WOS citations: 1

1. [1.1] BEDNARIK, M. – CERVENKA, M. A wide class of analytical solutions of the Webster equation. In JOURNAL OF SOUND AND VIBRATION. ISSN 0022-460X, 2020, vol. 469.

 

• HUŠEK, I. – KOVÁČ, P. – ROSOVÁ, A. – MELIŠEK, T. – PACHLA, W. – HAIN, Miroslav. Advanced MgB₂ wire made by internal magnesium diffusion process. In Journal of Alloys and Compounds, 2014, vol. 588, p. 366-369. (2.726 – IF2013). (2014 – Current Contents, WOS, SCOPUS). ISSN 0925-8388.

WOS citations: 1

1. [1.1] YETIS, H. – AVCI, D. – KARABOGA, F. – GAJDA, D. – AKDOGAN, M. – BELENLI, I. An innovative approach to fabricate MgB2/Fe IMD wires by magnesium powder method. In PHYSICA B-CONDENSED MATTER. ISSN 0921-4526, 2020, vol. 593.

 

• 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, karentované – CCC). (2013 – Current Contents). ISSN 0740-3194. Dostupné na: https://doi.org/10.1002/mrm.24363

WOS citations: 2; SCOPUS citations: 1

1. [1.1] BASHIR, A. – ZHANG, J. – DENNEY, T.S. Creatine kinase rate constant in the human heart at 7T with 1D-ISIS/2D CSI localization. In PLOS ONE. ISSN 1932-6203, 2020, vol. 15, no. 3.

2. [1.1] SANTOS-DIAZ, A. – NOSEWORTHY, M.D. Phosphorus magnetic resonance spectroscopy and imaging (P-31-MRS/MRSI) as a window to brain and muscle metabolism: A review of the methods. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, 2020, vol. 60.

3. [1.2] LIU, Y. – YANG, C. – LI, H. – WANG, K. – SUN, X. Selection and progresses of 31P-MRS scanning sequences. In CHINESE JOURNAL OF MEDICAL IMAGING TECHNOLOGY. ISSN 1003-3289, 2020, vol. 36, no. 7, p. 1088-1092.

 

• 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, karentované – CCC). (2015 – Current Contents). ISSN 0938-7994. Dostupné na: https://doi.org/10.1007/s00330-014-3578-y

WOS citations: 2; SCOPUS citations: 1

1. [1.1] RIVERA, D. – KALLEVEEN, I. – DE CASTRO, C.A. – VAN LAARHOVEN, H. – KLOM, D. – VAN DER KEMP, W. – STOKER, J. – NEDERVEEN, A. Inherently decoupled H-1 antennas and P-31 loops for metabolic imaging of liver metastasis at 7 T. In NMR IN BIOMEDICINE. ISSN 0952-3480, APR 2020, vol. 33, no. 4.

2. [1.1] WANG, J.C. – ZHOU, T. – LIU, J.H. – SHANGGUAN, J.J. – LIU, X.J. – LI, Z.M. – ZHOU, X.M. – REN, Y.D. – WANG, C.J. Application of H-1-MRS in end-stage renal disease with depression. In BMC NEPHROLOGY. JUN 15 2020, vol. 21, no. 1.

3. [1.2] LIU, Y. – YANG, C. – LI, H. – WANG, K. – SUN, X. Selection and progresses of 31P-MRS scanning sequences. In CHINESE JOURNAL OF MEDICAL IMAGING TECHNOLOGY. ISSN 1003-3289, 2020, vol. 36, no. 7, p. 1088-1092.

 

• 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, karentované – CCC). (2008 – Current Contents). ISSN 0171-2985. Dostupné na: https://doi.org/10.1016/j.imbio.2008.02.006

WOS citations: 3

1. [1.1] WU, X.L. – ZHANG, Y. – LI, Y.T. – SCHMIDT-WOLF, I.G.H. Improvements in Flow Cytometry-Based Cytotoxicity Assay. In CYTOMETRY PART A. ISSN 1552-4922.

2. [1.1] WU, X.L. – ZHANG, Y. – LI, Y.T. – SCHMIDT-WOLF, I.G.H. Increase of Antitumoral Effects of Cytokine-Induced Killer Cells by Antibody-Mediated Inhibition of MICA Shedding. In CANCERS. JUL 2020, vol. 12, no. 7.

3. [1.1] ZHANG, D. – TENG, R. – LV, N. – LEI, L. – WANG, Y.M. – WILLIAMSON, R.A. – CHEN, P. – GAO, P.G. – O’;DWYER, M. – LI, A. – HU, J.S. A novel CD2 staining-based flow cytometric assay for assessment of natural killer cell cytotoxicity. In JOURNAL OF CLINICAL LABORATORY ANALYSIS. ISSN 0887-8013, DEC 2020, vol. 34, no. 12.

 

• 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, karentované – CCC). (2013 – Current Contents). ISSN 0720-048X. Dostupné na: https://doi.org/10.1016/j.ejrad.2011.09.022

WOS citations: 2

1. [1.1] REGULSKI, P.A. – ZIELINSKI, J. Multi-Step Segmentation Algorithm for Quantitative Magnetic Resonance Imaging T2 Mapping of Ruptured Achilles Tendons. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 199995-200004.

2. [1.1] TBINI, Z. – MARS, M. – BOUAZIZ, M. T1 Relaxation Time of Achilles Tendon at 3 Tesla with Special Reference to Relevant Clinical Score: A Preliminary Study. In CURRENT MEDICAL IMAGING. ISSN 1573-4056, 2020, vol. 16, no. 2, SI, p. 164-173.

 

• 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, karentované – CCC). (2012 – Current Contents). ISSN 0720-048X. Dostupné na: https://doi.org/10.1016/j.ejrad.2011.05.023

WOS citations: 1; SCOPUS citations: 1

1. [1.1] COOPER, T. – SCHMUTZ, B. – HSU, E. – LYNHAM, A. Magnetic resonance imaging for three-dimensional printing of the bony orbit: is clinical use imminent? In INTERNATIONAL JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY. ISSN 0901-5027, 2020, vol. 49, no. 4, p. 483-490.

2. [1.2] ARINGHIERI, G. – ZAMPA, V. – TOSETTI, M. Musculoskeletal MRI at 7 T: do we need more or is it more than enough? In EUROPEAN RADIOLOGY EXPERIMENTAL. ISSN 2509-9280, 2020, vol. 4, no. 1.

 

• 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, karentované – CCC). (2019 – Current Contents). ISSN 0730-725X. Dostupné na: https://doi.org/10.1016/j.mri.2018.09.021

WOS citations: 2; SCOPUS citations: 1

1. [1.1] DESROCHERS, J. – YUNG, A. – STOCKTON, D. – WILSON, D. Depth-dependent changes in cartilage T2 under compressive strain: a 7T MRI study on human knee cartilage. In OSTEOARTHRITIS AND CARTILAGE. ISSN 1063-4584, SEP 2020, vol. 28, no. 9, p. 1276-1285.

2. [1.1] SNOJ, Z. – VIDMAR, J. – GERGAR, M. – PLUT, D. – SALAPURA, V. T2 distribution profiles are a good way to show cartilage regional variabilities and cartilage insufficiency. In SKELETAL RADIOLOGY. ISSN 0364-2348, JAN 2020, vol. 49, no. 1, p. 137-145.

3. [1.2] ARINGHIERI, G. – ZAMPA, V. – TOSETTI, M. Musculoskeletal MRI at 7 T: do we need more or is it more than enough? In EUROPEAN RADIOLOGY EXPERIMENTAL. ISSN 2509-9280, 2020, vol. 4, no. 1.

 

• 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, karentované – CCC). (2016 – Current Contents). ISSN 0720-048X. Dostupné na: https://doi.org/10.1016/j.ejrad.2016.01.021

SCOPUS citations: 2

1. [1.2] ARINGHIERI, G. – ZAMPA, V. – TOSETTI, M. Musculoskeletal MRI at 7 T: do we need more or is it more than enough? In EUROPEAN RADIOLOGY EXPERIMENTAL. ISSN 2509-9280, 2020, vol. 4, no. 1.

2. [1.2] QI, Y. – DENG, X. – WANG, Y. – CHEN, X. – DONG, F. – WANG, W. – ZHOU, S. Evaluation on the differences of wrist triangular fibrocartilage complex with T2 mapping in healthy adults. In CHINESE JOURNAL OF MEDICAL IMAGING TECHNOLOGY. ISSN 1003-3289, 2020, vol. 36, no. 3, p. 448-452.

 

• 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, karentované – CCC). (2015 – Current Contents). ISSN 0033-8419. Dostupné na: https://doi.org/10.1148/radiol.15140484

WOS citations: 2

1. [1.1] POPOWSKI, E.- KOHL, B. – SCHNEIDER, T. – JANKOWSKI, J. – SCHULZE-TANZIL, G. Uremic Toxins and Ciprofloxacin Affect Human Tenocytes In Vitro. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, vol. 21, no. 12, p.

2. [1.1] VILLANO, D. – ROMDHANE, F. – IRRERA, P. – CONSOLINO, L. – ANEMONE, A. – ZAISS, M. – DASTRU, W. – LONGO, D.L. A fast multislice sequence for 3D MRI-CEST pH imaging. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, 2020.

 

• 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, karentované – CCC). (2009 – Current Contents). ISSN 1090-7807. Dostupné na: https://doi.org/10.1016/j.jmr.2008.11.019

WOS citations: 4

1. [1.1] DRAGAN, S.L. – KUROPKA, P. – KULEJ, M. – GABRYS, P. – NIKODEM, A. Changes in the mechanical properties of femoral cartilage tissue in advanced osteoarthritis. In ACTA OF BIOENGINEERING AND BIOMECHANICS. ISSN 1509-409X, 2020, vol. 22, no. 1, p. 143-152.

2. [1.1] JERBAN, S. – CHANG, E.Y. – DU, J. Magnetic resonance imaging (MRI) studies of knee joint under mechanical loading: Review. In MAGNETIC RESONANCE IMAGING. ISSN 0730-725X, JAN 2020, vol. 65, p. 27-36.

3. [1.1] JERBAN, S. – KASIBHATLA, A. – MA, Y.J. – WU, M. – CHEN, Y.J. – GUO, T. – WAN, L.D. – SZEVERENYI, N. – CHANG, E.Y. – DU, J. Detecting Articular Cartilage and Meniscus Deformation Effects Using Magnetization Transfer Ultrashort Echo Time (MT-UTE) Modeling during Mechanical Load Application: Ex Vivo Feasibility Study. In CARTILAGE. ISSN 1947-6035, 2020.

4. [1.1] REHNITZ, C. – DO, T. – KLAAN, B. – BURKHOLDER, I. – BARIE, A. – WUENNEMANN, F. – KAUCZOR, H.U. – WEBER, M.A. Feasibility of Using Half-Dose Gd-BOPTA for Delayed Gadolinium-Enhanced MRI of Cartilage (dGEMRIC) at the Knee, Compared with Standard-Dose Gd-DTPA. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, JAN 2020, vol. 51, no. 1, p. 144-154.

 

• 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, karentované – CCC). (2013 – Current Contents). ISSN 0938-7994. Dostupné na: https://doi.org/10.1007/s00330-013-2897-8

WOS citations: 6

1. [1.1] BREDA, S.J. – POOT, D.H.J. – PAPP, D. – DE VRIES, B.A. – KOTEK, G. – KRESTIN, G.P. – HERNANDEZ-TAMAMES, J.A. – DE VOS, R.J. – OEI, E.H.G. Tissue-Specific T-2* Biomarkers in Patellar Tendinopathy by Subregional Quantification Using 3D Ultrashort Echo Time MRI. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, AUG 2020, vol. 52, no. 2, p. 420-430.

2. [1.1] DEVAPRAKASH, D. – OBST, S.J. – LLOYD, D.G. – BARRETT, R.S. – KENNEDY, B. – BALL, I. – ADAMS, K.L. – COLLINGS, T.J. – DAVICO, G. – HUNTER, A. – VLAHOVICH, N. – PEASE, D.L. – PIZZOLATO, C. The Free Achilles Tendon Is Shorter, Stiffer, Has Larger Cross-Sectional Area and Longer T2*Relaxation Time in Trained Middle-Distance Runners Compared to Healthy Controls. In FRONTIERS IN PHYSIOLOGY. ISSN 1664-042X, AUG 27 2020, vol. 11.

3. [1.1] JANG, H. – CARL, M. – MA, Y.J. – SEARLEMAN, A.C. – JERBAN, S. – CHANG, E.Y. – COREY-BLOOM, J. – DU, J. Inversion recovery zero echo time (IR-ZTE) imaging for direct myelin detection in human brain: a feasibility study. In QUANTITATIVE IMAGING IN MEDICINE AND SURGERY. ISSN 2223-4292, MAY 2020, vol. 10, no. 5, p. 895-906.

4. [1.1] JANG, H. – MCMILLAN, A.B. – MA, Y.J. – JERBAN, S. – CHANG, E.Y. – DU, J. – KIJOWSKI, R. Rapid single scan ramped hybrid-encoding for bicomponent T2*mapping in a human knee joint: A feasibility study. In NMR IN BIOMEDICINE. ISSN 0952-3480, NOV 2020, vol. 33, no. 11.

5. [1.1] PAPP, D. – BREDA, S.J. – OEI, E.H.G. – POOT, D.H.J. – KOTEK, G. – HERNANDEZ-TAMAMES, J.A. Fractional order vs. exponential fitting in UTE MR imaging of the patellar tendon. In MAGNETIC RESONANCE IMAGING. ISSN 0730-725X, JUL 2020, vol. 70, p. 91-97.

6. [1.1] TBINI, Z. – MARS, M. – BOUAZIZ, M. T1 Relaxation Time of Achilles Tendon at 3 Tesla with Special Reference to Relevant Clinical Score: A Preliminary Study. In CURRENT MEDICAL IMAGING. ISSN 1573-4056, 2020, vol. 16, no. 2, SI, p. 164-173.

 

• JURÁŠ, Vladimír – APPRICH, S. – ZBÝŇ, Š. – ZAK, L. – DELIGIANNI, X. – SZOMOLÁNYI, P. – 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, karentované – CCC). (2014 – Current Contents). ISSN 0740-3194. Dostupné na: https://doi.org/10.1002/mrm.24760

WOS citations: 4; other citations: 1

1. [1.1] JANG, H. – CARL, M. – MA, Y.J. – SEARLEMAN, A.C. – JERBAN, S. – CHANG, E.Y. – COREY-BLOOM, J. – DU, J. Inversion recovery zero echo time (IR-ZTE) imaging for direct myelin detection in human brain: a feasibility study. In QUANTITATIVE IMAGING IN MEDICINE AND SURGERY. ISSN 2223-4292, MAY 2020, vol. 10, no. 5, p. 895-906.

2. [1.1] JANG, H. – MCMILLAN, A.B. – MA, Y.J. – JERBAN, S. – CHANG, E.Y. – DU, J. – KIJOWSKI, R. Rapid single scan ramped hybrid-encoding for bicomponent T2*mapping in a human knee joint: A feasibility study. In NMR IN BIOMEDICINE. ISSN 0952-3480, NOV 2020, vol. 33, no. 11.

3. [1.1] PAPP, D. – BREDA, S.J. – OEI, E.H.G. – POOT, D.H.J. – KOTEK, G. – HERNANDEZ-TAMAMES, J.A. Fractional order vs. exponential fitting in UTE MR imaging of the patellar tendon. In MAGNETIC RESONANCE IMAGING. ISSN 0730-725X, JUL 2020, vol. 70, p. 91-97.

4. [1.1] WANG, N. – MIRANDO, A.J. – COFER, G. – QI, Y. – HILTON, M.J. – JOHNSON, G.A. Characterization complex collagen fiber architecture in knee joint using high-resolution diffusion imaging. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, AUG 2020, vol. 84, no. 2, p. 908-919.

5. [3.1] EINARSSON, E. –SVENSSON, J. – FOLKESSON, E. – KESTILÄ, I. – TJÖRNSTRAND, J. – PETERSON, P. – FINNILÄ, M.A.J. – HUGHES, H.V. – TURKIEWICZ, A. – SAARAKKALA, S. – MARTIN, E. Relating MR relaxation times of ex vivo meniscus to tissue degeneration through comparison with histopathology. In OSTEOARTHRITIS AND CARTILAGE OPEN. ISSN 2665-9131, 2020, vol. 2, no. 2, p. 100061.

 

• 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, karentované – CCC). (2012 – Current Contents). ISSN 0740-3194. Dostupné na: https://doi.org/10.1002/mrm.24136

WOS citations: 5; SCOPUS citations: 1

1. [1.1] BREDA, S.J. – POOT, D.H.J. – PAPP, D. – DE VRIES, B.A. – KOTEK, G. – KRESTIN, G.P. – HERNANDEZ-TAMAMES, J.A. – DE VOS, R.-J. – OEI, E.H.G. Tissue-Specific T-2* Biomarkers in Patellar Tendinopathy by Subregional Quantification Using 3D Ultrashort Echo Time MRI. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, 2020, vol. 52, no. 2, p. 420-430.

2. [1.1] DEVAPRAKASH, D. – OBST, S.J. – LLOYD, D.G. – BARRETT, R.S. – KENNEDY, B. – BALL, I. – ADAMS, K.L. – COLLINGS, T.J. – DAVICO, G. – HUNTER, A. – VLAHOVICH, N. – PEASE, D.L. – PIZZOLATO, C. The Free Achilles Tendon Is Shorter, Stiffer, Has Larger Cross-Sectional Area and Longer T2*Relaxation Time in Trained Middle-Distance Runners Compared to Healthy Controls. In FRONTIERS IN PHYSIOLOGY. ISSN 1664-042X, 2020, vol. 11.

3. [1.1] NAMIRANIAN, B. – JERBAN, S. – MA, Y. – DORTHE, E.W. – MASOUD-AFSAHI, A. – WONG, J. – WEI, Z. – CHEN, Y. – D’;LIMA, D. – CHANG, E.Y. – DU, J. Assessment of mechanical properties of articular cartilage with quantitative three-dimensional ultrashort echo time (UTE) cones magnetic resonance imaging. In JOURNAL OF BIOMECHANICS. ISSN 0021-9290, 2020, vol. 113.

4. [1.1] TBINI, Z. – MARS, M. – BOUAZIZ, M. T1 Relaxation Time of Achilles Tendon at 3 Tesla with Special Reference to Relevant Clinical Score: A Preliminary Study. In CURRENT MEDICAL IMAGING. ISSN 1573-4056, 2020, vol. 16, no. 2, p. 164-173.

5. [1.1] XIE, Y. – LIU, S. – QU, J. – WU, P. – TAO, H. – CHEN, S. Quantitative Magnetic Resonance Imaging UTE-T2*Mapping of Tendon Healing After Arthroscopic Rotator Cuff Repair: A Longitudinal Study. In AMERICAN JOURNAL OF SPORTS MEDICINE. ISSN 0363-5465, 2020, vol. 48, no. 11, p. 2677-2685.

6. [1.2] ARINGHIERI, G. – ZAMPA, V. – TOSETTI, M. Musculoskeletal MRI at 7 T: do we need more or is it more than enough? In EUROPEAN RADIOLOGY EXPERIMENTAL, 2020, vol. 4, no. 1.

 

• 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, karentované – CCC). (2012 – Current Contents). ISSN 0033-8419. Dostupné na: https://doi.org/10.1148/radiol.11110897

WOS citations: 1; SCOPUS citations: 1

1. [1.1] TBINI, Z. – MARS, M. – BOUAZIZ, M. T1 Relaxation Time of Achilles Tendon at 3 Tesla with Special Reference to Relevant Clinical Score: A Preliminary Study. In CURRENT MEDICAL IMAGING. ISSN 1573-4056, 2020, vol. 16, no. 2, p. 164-173.

2. [1.2] ARINGHIERI, G. – ZAMPA, V. – TOSETTI, M. Musculoskeletal MRI at 7 T: do we need more or is it more than enough? In EUROPEAN RADIOLOGY EXPERIMENTAL. ISSN 2509-9280, 2020, vol. 4, no. 1.

 

• 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, karentované – CCC). (2016 – Current Contents). ISSN 0938-7994. Dostupné na: https://doi.org/10.1007/s00330-015-3979-6

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

1. [1.1] WANG, X. – HERNANDO, D. – REEDER, S.B. Phase-based T-2 mapping with gradient echo imaging. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, 2020, vol. 84, no. 2, p. 609-619.

2. [1.2] ARINGHIERI, G. – ZAMPA, V. – TOSETTI, M. Musculoskeletal MRI at 7 T: do we need more or is it more than enough? In EUROPEAN RADIOLOGY EXPERIMENTAL. ISSN 2509-9280, 2020, vol. 4, no. 1.

3. [3.1] REEDER, S.B. – WANG, X. System and method for determining patient parameters using radio frequency phase increments in magnetic resonance imaging. In United States Patent US10845446B2, 2020.

 

• 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, karentované – CCC). (2017 – Current Contents). ISSN 1932-8486. Dostupné na: https://doi.org/10.1002/ar.23532

WOS citations: 5

1. [1.1] CERNANSKY, A. – SYROMYATNIKOVA, E.V. – JABLONSKI, D. The first record of amphisbaenian and anguimorph lizards (Reptilia, Squamata) from the upper Miocene Solnechnodolsk locality in Russia. In HISTORICAL BIOLOGY. ISSN 0891-2963, AUG 8 2020, vol. 32, no. 7, p. 869-879.

2. [1.1] CERNANSKY, A. – SYROMYATNIKOVA, E.V. – KOVALENKO, E.S. – PODURETS, K.M. – KALOYAN, A.A. The Key to Understanding the European MioceneChalcides(Squamata, Scincidae) Comes from Asia: The Lizards of the East Siberian Tagay Locality (Baikal Lake) in Russia. In ANATOMICAL RECORD-ADVANCES IN INTEGRATIVE ANATOMY AND EVOLUTIONARY BIOLOGY. ISSN 1932-8486, JUL 2020, vol. 303, no. 7, p. 1901-1934.

3. [1.1] IVANOV, M. – CERNANSKY, A. – BONILLA-SALOMON, I. – LUJAN, A.H. Early Miocene squamate assemblage from the Mokra-Western Quarry (Czech Republic) and its palaeobiogeographical and palaeoenvironmental implications. In GEODIVERSITAS. ISSN 1280-9659, AUG 28 2020, vol. 42, no. 20, p. 343-376.

4. [1.1] MIEDEMA, F. – SPIEKMAN, S.N.F. – FERNANDEZ, V. – REUMER, J.W.F. – SCHEYER, T.M. Cranial morphology of the tanystropheid Macrocnemus bassanii unveiled using synchrotron microtomography. In SCIENTIFIC REPORTS. ISSN 2045-2322, JUL 24 2020, vol. 10, no. 1.

5. [1.1] VILLA, A. – BACCIOTTI, M. – SALA, B. – DELFINO, M. Early Biharian amphibians and reptiles from Monte La Mesa (Verona, northeastern Italy): a typical herpetological assemblage from the Early Pleistocene of Veneto. In BOLLETTINO DELLA SOCIETA PALEONTOLOGICA ITALIANA. ISSN 0375-7633, 2020, vol. 59, no. 2, p. 85-104.

 

• 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, karentované – CCC). (2020 – Current Contents). ISSN 0031-0239. Dostupné na: https://doi.org/10.1111/pala.12448

WOS citations: 1

1. [1.1] PARDO, J.D. – LENNIE, K. – ANDERSON, J.S. Can We Reliably Calibrate Deep Nodes in the Tetrapod Tree? Case Studies in Deep Tetrapod Divergences. In FRONTIERS IN GENETICS, 2020, vol. 11.

 

• 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, karentované – CCC). (2014 – Current Contents). ISSN 1932-8486. Dostupné na: https://doi.org/10.1002/ar.22854

WOS citations: 4

1. [1.1] BITTENCOURT, J.S. – SIMOES, T.R. – CALDWELL, M.W. – LANGER, M.C. Discovery of the oldest South American fossil lizard illustrates the cosmopolitanism of early South American squamates. In COMMUNICATIONS BIOLOGY, 2020, vol. 3, no. 1.

2. [1.1] IVANOV, M. – CERNANSKY, A. – BONILLA-SALOMON, I. – HERNANDEZ LUJAN, A. Early Miocene squamate assemblage from the Mokra-Western Quarry (Czech Republic) and its palaeobiogeographical and palaeoenvironmental implications. In GEODIVERSITAS. ISSN 1280-9659, 2020, vol. 42, no. 20, p. 343-376.

3. [1.1] VILLA, A. – GEORGALIS, G.L. – DELFINO, M. The latest Early Pleistocene amphibians and reptiles from Kaiafas (Greece) and the first record of fossil Ophiomorus (Squamata, Scincidae). In GEOBIOS. ISSN 0016-6995, 2020, vol. 62, p. 79-90.

4. [1.1] VILLA, A. – MINNELLI, E. – BONA, F. – BELLUCCI, L. – SARDELLA, R. – DELFINO, M. The amphibians and reptiles from the Early Pleistocene of Coste San Giacomo (Anagni Basin, Italy). In HISTORICAL BIOLOGY. ISSN 0891-2963, 2020.

 

• KLEPOCHOVÁ, R. – VALKOVIČ, Ladislav – GAJDOŠÍK, M. – HOCHWARTNER, T. – TSCHAN, H. – KREBS, M. – TRATTNIG, S. – KRŠŠÁK, M. Detection and alterations of acetylcarnitine in human skeletal muscles by 1H MRS at 7 T. In Investigative Radiology, 2017, vol. 52, no. 7, p. 412-418. (2016: 5.195 – IF, Q1 – JCR, 2.671 – SJR, Q1 – SJR, karentované – CCC). (2017 – Current Contents). ISSN 0020-9996. Dostupné na: https://doi.org/10.1097/RLI.0000000000000355

WOS citations: 2

1. [1.1] JUCHEM, C. – CUDALBU, C. – DE GRAAF, R.A. – GRUETTER, R. – HENNING, A. – HETHERINGTON, H.P. – BOER, V.O. B(0)shimming for in vivo magnetic resonance spectroscopy: Experts’; consensus recommendations. In NMR IN BIOMEDICINE. ISSN 0952-3480, 2020.

2. [1.1] REMIE, C.M.E. – ROUMANS, K.H.M. – MOONEN, M.P.B. – CONNELL, N.J. – HAVEKES, B. – MEVENKAMP, J. – LINDEBOOM, L. – DE WIT, V.H.W. – VAN DE WEIJER, T. – AARTS, S.A.B.M. – LUTGENS, E. – SCHOMAKERS, B.V. – ELFRINK, H.L. – ZAPATA-PEREZ, R. – HOUTKOOPER, R.H. – AUWERX, J. – HOEKS, J. – SCHRAUWEN-HINDERLING, V.B. – PHIELIX, E. – SCHRAUWEN, P. Nicotinamide riboside supplementation alters body composition and skeletal muscle acetylcarnitine concentrations in healthy obese humans. In AMERICAN JOURNAL OF CLINICAL NUTRITION. ISSN 0002-9165, AUG 2020, vol. 112, no. 2, p. 413-426.

 

• 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, karentované – CCC). (2014 – Current Contents). ISSN 0957-0233. Dostupné na: https://doi.org/10.1088/0957-0233/25/11/115001

WOS citations: 3; SCOPUS citations: 2

1. [1.1] THURNHOFER-HEMSI, K. – LOPEZ-RUBIO, E. – BLAZQUEZ-PARRA, E.B. – LADRON-DE-GUEVARA-MUNOZ, M.C. – DE-COZAR-MACIAS, O.D. Ellipse fitting by spatial averaging of random ensembles. In PATTERN RECOGNITION. ISSN 0031-3203, OCT 2020, vol. 106.

2. [1.1] WANG, C.Q. – HUANG, Q.X. – DING, X.M. – CHENG, R.J. – ZHANG, L.S. – LI, R.J. – LI, H.L. Compensation Method for Polarization Mixing in the Homodyne Interferometer. In APPLIED SCIENCES-BASEL. SEP 2020, vol. 10, no. 17.

3. [1.1] ZHANG, N. – HU, Q.Q. – WANG, Q. – JI, Q.C. – ZHAO, W.J. – WEI, R. – WANG, Y.Z. Michelson laser interferometer-based vibration noise contribution measurement method for cold atom interferometry gravimeter. In CHINESE PHYSICS B. ISSN 1674-1056, JUL 2020, vol. 29, no. 7.

4. [1.2] JIN, T. – TANG, Y.K. – LE, Y.F. – LIU, F.F. – LEI, L.H. A Research on Correction Method of Nonlinear Errors for Homodyne Laser Interferometer. In JILIANG XUEBAO/ACTA METROLOGICA SINICA. ISSN 1000-1158, 2020, vol. 41, no. 6, p. 676-681.

5. [1.2] XIA, H.J. – GU, R.R. – PAN, C.L. – ZHAO, H.N. Signal processing method for displacement measurement interferometry using vortex beams. In GUANGXUE JINGMI GONGCHENG/OPTICS AND PRECISION ENGINEERING. ISSN 1004-924X, 2020, vol. 28, no. 9, p. 1905-1912.

 

• 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, karentované – CCC). (2015 – Current Contents). ISSN 0957-0233. Dostupné na: https://doi.org/10.1088/0957-0233/26/8/084004

WOS citations: 3

1. [1.1] FU, H.J. – WANG, K. – HU, P.C. – TAN, J.B. – YANG, H.X. – YANG, R.T. Homodyne Laser Vibrometer With Detectability of Nanoscale Vibration and Adaptability to Reflectivity. In IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. ISSN 0018-9456, FEB 2020, vol. 69, no. 2, p. 542-548.

2. [1.1] WANG, C.Q. – HUANG, Q.X. – DING, X.M. – CHENG, R.J. – ZHANG, L.S. – LI, R.J. – LI, H.L. Compensation Method for Polarization Mixing in the Homodyne Interferometer. In APPLIED SCIENCES-BASEL. SEP 2020, vol. 10, no. 17.

3. [1.1] YU, L. – MOLNAR, G. – WERNER, C. – WEICHERT, C. – KOENING, R. – DANZEBRINK, H.-U. – TAN, J. – FLUEGGE, J. A single-beam 3DoF homodyne interferometer. In MEASUREMENT SCIENCE AND TECHNOLOGY. ISSN 0957-0233, 2020, vol. 31, no. 8.

 

• 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, karentované – CCC). (2018 – Current Contents). ISSN 1944-8244. Dostupné na: https://doi.org/10.1021/acsami.7b18304

WOS citations: 1

1. [1.1] XU, S. – WANG, J.R. – WEI, Y. – ZHAO, H.X. – TAO, T.X. – WANG, H. – WANG, Z. – DU, J. – WANG, H.Z. – QIAN, J.C. – MA, K. – WANG, J.F. In Situ One-Pot Synthesis of Fe2O3@BSA Core-Shell Nanoparticles as Enhanced T-1-Weighted Magnetic Resonance Imagine Contrast Agents. In ACS APPLIED MATERIALS & INTERFACES. ISSN 1944-8244, DEC 23 2020, vol. 12, no. 51, p. 56701-56711.

 

• KOVÁČ, P. – KOPERA, L. – 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, p. 015015. (2.861 – IF2017). (2018 – Current Contents, WOS). ISSN 0953-2048.

WOS citations: 1

1. [1.1] WANG, D. Y. – PAN, X. F. – XI, D. – WANG, Q. Y. – FENG, J. Q. – YAN, G. – ZHAO, Y. Development and Superconducting Properties of Practical 18-and 30-Filamentary MgB2 Long Wires with Twisting by the In Situ Way. In JOURNAL OF SUPERCONDUCTIVITY AND NOVEL MAGNETISM. ISSN 1557-1939, 2020, vol. 33, no. 9, pp. 2657-2662.

 

• 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, karentované – CCC). (2015 – Current Contents, WOS, SCOPUS). ISSN 0304-8853. Dostupné na: https://doi.org/10.1016/j.jmmm.2014.10.018

WOS citations: 5

1. [1.1] GHOSH, A. – ISLAM, M.S. – SAHA, S.C. Targeted Drug Delivery of Magnetic Nano-Particle in the Specific Lung Region. In COMPUTATION. MAR 2020, vol. 8, no. 1.

2. [1.1] SAADAT, M. – MANSHADI, M.K.D. – MOHAMMADI, M. – ZARE, M.J. – ZAREI, M. – KAMALI, R. – SANATI-NEZHAD, A. Magnetic particle targeting for diagnosis and therapy of lung cancers. In JOURNAL OF CONTROLLED RELEASE. ISSN 0168-3659, DEC 10 2020, vol. 328, p. 776-791.

3. [1.1] SABZ, M. – KAMALI, R. – AHMADIZADE, S. Controlled Release of Magnetic Particles for Drug Delivery in the Human Lung. In IEEE TRANSACTIONS ON MAGNETICS. ISSN 0018-9464, JUN 2020, vol. 56, no. 6.

4. [1.1] ZHANG, X.L. – LUO, M.Y. – WANG, E.R. – ZHENG, L.C. – SHU, C. Numerical simulation of magnetic nano drug targeting to atherosclerosis: Effect of plaque morphology (stenosis degree and shoulder length). In COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. ISSN 0169-2607, OCT 2020, vol. 195.

5. [1.1] ZHANG, X.L. – ZHENG, L.C. – LUO, M.Y. – SHU, C. – WANG, E.H. Evaluation of particle shape, size and magnetic field intensity for targeted delivery efficiency and plaque injury in treating atherosclerosis. In POWDER TECHNOLOGY. ISSN 0032-5910, APR 15 2020, vol. 366, p. 63-72.

 

• 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, karentované – CCC). (2019 – Current Contents). ISSN 0032-5910. Dostupné na: https://doi.org/10.1016/j.powtec.2019.02.044

WOS citations: 6

1. [1.1] CAO, Q.L. – FAN, Q. – CHEN, J.G. – DING, A.Z. – LI, H.H. – HAN, X.T. Magnetically tunable distribution pattern of magnetic particles in a micro-particle sedimentation system. In POWDER TECHNOLOGY. ISSN 0032-5910, JUN 15 2020, vol. 370, p. 147-158.

2. [1.1] DVORSKY, R. – LESNAK, M. – PISTORA, J. – MANCIK, P. – BEDNAR, J. Experimentally verified physical model of ferromagnetic microparticles separation in magnetic gradient inside a set of steel spheres. In SEPARATION AND PURIFICATION TECHNOLOGY. ISSN 1383-5866, MAY 15 2020, vol. 239.

3. [1.1] GUO, X.F. – ZHANG, M.R. – REN, W.J. – DAI, S.J. Influence of particle size on the magnetism of magnetite and the development of an energy-efficient three-product magnetic separator. In SEPARATION SCIENCE AND TECHNOLOGY. ISSN 0149-6395, 2020.

4. [1.1] WANG, Y.H. – XUE, Z.X. – ZHENG, X.Y. – LU, D.F. – SUN, Z.X. Matching relation between matrix aspect ratio and applied magnetic induction for maximum particle capture in transversal high gradient magnetic separation. In MINERALS ENGINEERING. ISSN 0892-6875, JUN 1 2020, vol. 151.

5. [1.1] XUE, Z.X. – WANG, Y.H. – ZHENG, X.Y. – LU, D.F. – LI, X.D. Particle capture of special cross-section matrices in axial high gradient magnetic separation: A 3D simulation. In SEPARATION AND PURIFICATION TECHNOLOGY. ISSN 1383-5866, APR 15 2020, vol. 237.

6. [1.1] ZHENG, X.Y. – SUN, Z.X. – WANG, Y.H. – LU, D.F. – XUE, Z.X. Matching relation between matrix aspect ratio and applied induction for maximum particle capture in longitudinal high gradient magnetic separation. In SEPARATION AND PURIFICATION TECHNOLOGY. ISSN 1383-5866, JUN 15 2020, vol. 241.

 

• KRAKOVSKÁ, Anna – ŠTOLC, Svorad. Spectral decay vs. correlation dimension of EEG. In Neurocomputing, 2008, vol. 71, no. 13-15, p. 2978-2985. (2007: 0.865 – IF, Q3 – JCR, 0.497 – SJR, Q2 – SJR, karentované – CCC). (2008 – Current Contents). ISSN 0925-2312. Dostupné na: https://doi.org/10.1016/j.neucom.2007.06.007

WOS citations: 1

1. [1.1] LENDNER, J.D. – HELFRICH, R.F. – MANDER, B.A. – ROMUNDSTAD, L. – LIN, J.J. – WALKER, M.P. – LARSSON, P.G. – KNIGHT, R.T. An electrophysiological marker of arousal level in humans. In ELIFE. ISSN 2050-084X, 2020, vol. 9.

 

• 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, karentované – CCC). (2011 – Current Contents). ISSN 0933-3657. Dostupné na: https://doi.org/10.1016/j.artmed.2011.06.004

WOS citations: 5; SCOPUS citations: 4; other citations: 2

1. [1.1] HUANG, W. – GUO, B. – SHEN, Y. – TANG, X. – ZHANG, T. – LI, D. – JIANG, Z. Sleep staging algorithm based on multichannel data adding and multifeature screening. In COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. ISSN 0169-2607, 2020, vol. 187.

2. [1.1] HUANG, X. – SHIRAHAMA, K. – LI, F. – GRZEGORZEK, M. Sleep stage classification for child patients using DeConvolutional Neural Network. In ARTIFICIAL INTELLIGENCE IN MEDICINE. ISSN 0933-3657, 2020, vol. 110.

3. [1.1] LIU, D.H. – IMTIAZ, S.A. Studying the Effects of Compression in EEG-Based Wearable Sleep Monitoring Systems. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 168486-168501.

4. [1.1] RUBINI, L.J. – PERUMAL, E. Efficient classification of chronic kidney disease by using multi-kernel support vector machine and fruit fly optimization algorithm. In INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY. ISSN 0899-9457, 2020, vol. 30, no. 3, p. 660-673.

5. [1.1] ZHANG, B. – YANG, Z. – CAI, H. – LIAN, J. – CHANG, W. – ZHANG, Z. Ontology-Based Decision Support Tool for Automatic Sleep Staging Using Dual-Channel EEG Data. In SYMMETRY-BASEL, 2020, vol. 12, no. 11.

6. [1.2] DONOGHUE, T. – DOMINGUEZ, J. – VOYTEK, B. Electrophysiological Frequency Band Ratio Measures Conflate Periodic and Aperiodic Neural Activity. In eNeuro, 2020, vol. 7, no. 6.

7. [1.2] MAMTA, P. – PRASAD, S. V.A.V. EEG Feature Extraction Using Time Domain Analysis for Classifying Insomnia. In IEEE INDIA COUNCIL INTERNATIONAL SUBSECTIONS CONFERENCE, INDISCON 2020, 2020, p. 221-224.

8. [1.2] SATAPATHY, S.K. – LOGANATHAN, D. – MITRA, A. Effect of EEG Dual-Channel Acquisition and Gender Specification Subjects on the Classification of Sleep Stages Using Machine Learning Techniques. In COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE. ISSN 1865-0929, 2020, 1214 CCIS, p. 173-188.

9. [1.2] YAN, R. – LI, F. – WANG, X. – RISTANIEMI, T. – CONG, F. Automatic sleep scoring toolbox and its application in sleep Apnea. In COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE. ISSN 1865-0929, 2020, 1247 CCIS, p. 256-275.

10. [3.1] BELKHIRIA, C. – PEYSAKHOVICH, V. Electro-Encephalography and Electro-Oculography in Aeronautics: A Review Over the Last Decade (2010–2020). In FRONTIERS IN NEUROERGONOMICS. ISSN 2673-6195, 2020, vol. 1, p. 606719.

11. [3.1] SATAPATHY, S.K. – LOGANATHAN, D. A Comprehensive Survey and New Investigation on Sleep Disorder Detection Using EEG Signal. In INTERNATIONAL CONFERENCE ON COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES, ICCCT-2019. Springer, 2020, ISBN 978-981-15-5076-8, p. 499-513.

 

• 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, karentované – CCC). (2016 – Current Contents, WOS, SCOPUS). ISSN 2470-0045. Dostupné na: https://doi.org/10.1103/PhysRevE.94.052203

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

1. [1.1] CHVOSTEKOVA, M. Modified Granger Causality in Selected Neighborhoods. In THEORY AND APPLICATIONS OF TIME SERIES ANALYSIS. ISSN 1431-1968, 2019, p. 31-42.

2. [1.2] PUKENAS, K. Detecting causality in uni-directionally coupled chaotic oscillators with small frequency mismatch. In JOURNAL OF APPLIED NONLINEAR DYNAMICS. ISSN 2164-6457, 2020, vol. 9, no. 1, p. 31-36.

3. [3.1] ARMSTRONG, E. My cat Chester’s dynamical systems analysyyyyy7777777777777777y7is of the laser pointerand the red dot on the wall: correlation, causation, or SARS-Cov-2 hallucination? In arXiv:2103.17058 [physics.pop-ph], 2020.

4. [3.1] LAMINSKI, E. – PAWELZIK, K.R. Reliable Detection of Causal Asymmetries in Dynamical Systems. In arXiv:2008.09486 [physics.data-an], 2020.

 

• 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, p. 042207. (2017: 2.284 – IF, Q1 – JCR, 0.979 – SJR, Q1 – SJR, karentované – CCC). (2018 – Current Contents, WOS, SCOPUS). ISSN 2470-0045. Dostupné na: https://doi.org/10.1103/PhysRevE.97.042207

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

1. [1.1] BARRAQUAND, F. – PICOCHE, C. – DETTO, M. – HARTIG, F. Inferring species interactions using Granger causality and convergent cross mapping. In THEORETICAL ECOLOGY. ISSN 1874-1738, 2020.

2. [1.1] CRACIUNESCU, T. – MURARI, A. – LERCHE, E. – GELFUSA, M. Image-Based Methods to Investigate Synchronization between Time Series Relevant for Plasma Fusion Diagnostics. In ENTROPY, 2020, vol. 22, no. 7.

3. [1.1] HUANG, Y. – FU, Z. – FRANZKE, C.L.E. Detecting causality from time series in a machine learning framework. In CHAOS. ISSN 1054-1500, 2020, vol. 30, no. 6.

4. [1.1] HUANG, Y.- FRANZKE, C.L.E. – YUAN, N. – FU, Z. Systematic identification of causal relations in high-dimensional chaotic systems: application to stratosphere-troposphere coupling. In CLIMATE DYNAMICS. ISSN 0930-7575, 2020, vol. 55, no. 9-10, p. 2469-2481.

5. [1.1] LEHNERTZ, K. – BROEHL, T. – RINGS, T. The Human Organism as an Integrated Interaction Network: Recent Conceptual and Methodological Challenges. In FRONTIERS IN PHYSIOLOGY. ISSN 1664-042X, 2020, vol. 11.

6. [1.1] LU, W. – DUAN, M. – WANG, G. Case studies on driving factor with different scales: a modified Lorenz system and 500-hPa geopotential height. In THEORETICAL AND APPLIED CLIMATOLOGY. ISSN 0177-798X, 2020, vol. 141, no. 1-2, p. 455-463.

7. [1.1] PAPANA, A. Non-Uniform Embedding Scheme and Low-Dimensional Approximation Methods for Causality Detection. In ENTROPY, 2020, vol. 22, no. 7.

8. [1.1] PELUSO, E. – CRACIUNESCU, T. – MURARI, A. A Refinement of Recurrence Analysis to Determine the Time Delay of Causality in Presence of External Perturbations. In ENTROPY, 2020, vol. 22, no. 8.

9. [1.1] ROSSI, R. – MURARI, A. – GAUDIO, P. On the Potential of Time Delay Neural Networks to Detect Indirect Coupling between Time Series. In ENTROPY, 2020, vol. 22, no. 5.

10. [1.1] SMIRNOV, D.A. Transfer entropies within dynamical effects framework. In PHYSICAL REVIEW E. ISSN 2470-0045, 2020, vol. 102, no. 6.

11. [1.1] STEPANIANTS, G. – BRUNTON, B.W. – KUTZ, J.N. Inferring causal networks of dynamical systems through transient dynamics and perturbation. In PHYSICAL REVIEW E. ISSN 2470-0045, 2020, vol. 102, no. 4.

12. [1.1] ZHANG, N. – WANG, G. Detecting the causal interaction between Siberian High and Winter Surface Air Temperature over Northeast Asia. In ATMOSPHERIC RESEARCH. ISSN 0169-8095, 2020, vol. 245.

13. [1.2] PUKENAS, K. An efficient algorithm for inferring functional connectivity between the drive and the noisy response chaotic oscillators with significant frequency mismatch. In PRAMANA JOURNAL OF PHYSICS. ISSN 03044289, 2020, vol. 94, no. 1.

14. [3.1] ARMSTRONG, E. My cat Chester’s dynamical systems analysyyyyy7777777777777777y7is of the laser pointerand the red dot on the wall: correlation, causation, or SARS-Cov-2 hallucination? In arXiv:2103.17058 [physics.pop-ph], 2020.

15. [3.1] YUAN, Al.E. – SHOU, W. Data-driven causal analysis of observational time series: a synthesis. In bioRxiv, doi: https://doi.org/10.1101/2020.08.03.233692, 2020.

 

• 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, karentované – CCC). (2019 – Current Contents). ISSN 1099-4300. Dostupné na: https://doi.org/10.3390/e21090818

WOS citations: 1; other citations: 1

1. [1.1] POTHAPAKULA, P.K. – PRIMO, C. – SORLAND, S. – AHRENS, B. The synergistic impact of ENSO and IOD on Indian summer monsoon rainfall in observations and climate simulations an information theory perspective. In EARTH SYSTEM DYNAMICS. ISSN 2190-4979, 2020, vol. 11, no. 4, p. 903-923.

2. [3.1] BENKO, Z. – STIPPINGER, M. – REHUS, R. – BENCZE, A. – FABÓ, D. – HAJNAL, B. – EROSS, L. – TELCS, A. – SOMOGYVÁRIARI, Z. Manifold-adaptive dimension estimation revisited. In arXiv:2008.03221 [stat.ME], 2020.

 

• 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, karentované – CCC). (2012 – Current Contents). ISSN 1063-4584. Dostupné na: https://doi.org/10.1016/j.joca.2012.01.020

WOS citations: 1; SCOPUS citations: 2

1. [1.1] CHEN, C. – KAI, H. – ZHU, J. – BI, Y. – WANG, L. – JIANG, J. – ZHU, T. – YAN, X. – ZHAO, J. A novel elastic and controlled-release poly(ether-ester-urethane)urea scaffold for cartilage regeneration. In JOURNAL OF MATERIALS CHEMISTRY B. ISSN 2050-750X, 2020, vol. 8, no. 18, p. 4106-4121.

2. [1.2] ARINGHIERI, G. – ZAMPA, V. – TOSETTI, M. Musculoskeletal MRI at 7 T: do we need more or is it more than enough? In EUROPEAN RADIOLOGY EXPERIMENTAL, 2020, vol. 4, no. 1.

3. [1.2] CHHABRA, A.B. – THAWAIT, G.K. – ANDREISEK, G. Pre- and postoperative imaging of knee articular cartilage. In ARTICULAR CARTILAGE OF THE KNEE: HEALTH, DISEASE AND THERAPY, 2020, p. 329-342.

 

• 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, karentované – CCC). (2016 – Current Contents). ISSN 0952-3480. Dostupné na: https://doi.org/10.1002/nbm.3447

WOS citations: 1

1. [1.1] SILVA, V.E. – PAINELLI, V.S. – SHINJO, S.K. – PEREIRA, W.R. – CILLI, E.M. – SALE, C. – GUALANO, B. – OTADUY, M.C. – ARTIOLI, G.G. Magnetic Resonance Spectroscopy as a Non-invasive Method to Quantify Muscle Carnosine in Humans: a Comprehensive Validity Assessment. In SCIENTIFIC REPORTS. ISSN 2045-2322, 2020, vol. 10, no. 1.

 

• KULICH, M. – KOVÁČ, P. – HAIN, Miroslav – ROSOVÁ, A. – DOBROČKA, E. High density and connectivity of a MgB₂ filament made using the internal magnesium diffusion technique. In Superconductor Science and Technology, 2016, vol. 29, 035004. (2.717 – IF2015). (2016 – Current Contents, WOS, SCOPUS). ISSN 0953-2048.

WOS citations: 2

1. [1.1] BOVONE, G. – CAPRA, M. – BERNINI, C. – LORIA, F. – CETNER, T. – GAJDA, D. – MORAWSKI, A. – BALLARINO, A. – HOPKINS, S.C. – TROPEANO, M. – GRASSO, G. – PUTTI, M. – FERDEGHINI, C. – SIRI, A.S. – VIGNOLO, M. Reverse advance internal magnesium diffusion process to produce dense MgB2 bulks and high J(C) wires through high pressure heat treatment. In SUPERCONDUCTOR SCIENCE & TECHNOLOGY. ISSN 0953-2048, DEC 2020, vol. 33, no. 12.

2. [1.1] YETIS, H. – AVCI, D. – KARABOGA, F. – GAJDA, D. – AKDOGAN, M. – BELENLI, I. An innovative approach to fabricate MgB2/Fe IMD wires by magnesium powder method. In PHYSICA B-CONDENSED MATTER. ISSN 0921-4526, SEP 15 2020, vol. 593.

 

• KURDIOVÁ, T. – BALÁŽ, M. – VICIAN, M. – MÁDEROVÁ, 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, karentované – CCC). (2014 – Current Contents). ISSN 0022-3751. Dostupné na: https://doi.org/10.1113/jphysiol.2013.264655

WOS citations: 34; SCOPUS citations: 7; other citations: 5

1. [1.1] ABBASIAN, S. – RAVASI, A.A. The effect of antecedent-conditioning high-intensity interval training on BDNF regulation through PGC-1 alpha pathway following cerebral ischemia. In BRAIN RESEARCH. ISSN 0006-8993, 2020, vol. 1729.

2. [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. ISSN 1381-3455, 2020.

3. [1.1] ABULMEATY, M.M.A. – ALMAJWAL, A.M. – ALAM, I. – RAZAK, S. – ELSADEK, M.F. – ALJURAIBAN, G.S. – HUSSEIN, K.S. – MALASH, A.M. Relationship of Vitamin D-Deficient Diet and Irisin, and Their Impact on Energy Homeostasis in Rats. In FRONTIERS IN PHYSIOLOGY. ISSN 1664-042X, 2020, vol. 11.

4. [1.1] AHMAD, I.H. – MOHAMED MOSTAFA, E.R. – MOHAMMED, S.A. – SHIPL, W. – SOLIMAN, A.A. – SAID, M. Correlations between serum testosterone and irisin levels in a sample of Egyptian men with metabolic syndrome; (case-control study). In ARCHIVES OF PHYSIOLOGY AND BIOCHEMISTRY. ISSN 1381-3455, 2020.

5. [1.1] ALBRECHT, E. – SCHERING, L. – BUCK, F. – VLACH, K. – SCHOBER, H.-C. – DREVON, C.A. – MAAK, S. Irisin: Still chasing shadows. In MOLECULAR METABOLISM. ISSN 2212-8778, 2020, vol. 34, p. 124-135.

6. [1.1] BAYAT, M. – ALAEE, M. – AKBARI, A. – SADEGH, M. – LATIFI, S.A. – PARASTESH, M. – SALEHI, M. – KARAMI, H. – AMRI, Ja. A comparative study of the antidiabetic effect of two training protocols in streptozotocin-nicotinamide diabetic rats. In HORMONE MOLECULAR BIOLOGY AND CLINICAL INVESTIGATION. ISSN 1868-1883, 2020, vol. 41, no. 2.

7. [1.1] BOCALE, R. – BARINI, A. – D’;AMORE, A. – BOSCHERIN, M. – NECOZIONE, S. – BARINI, A. – DESIDERI, G. – LOMBARDI, C.P. Thyroid hormones modulate irisin concentrations in patients with recently onset hypothyroidism following total thyroidectomy. In JOURNAL OF ENDOCRINOLOGICAL INVESTIGATION. ISSN 0391-4097, 2020.

8. [1.1] BUSCEMI, S. – CORLEO, D. – VASTO, S. – BUSCEMI, C. – BARILE, A.M. – ROSAFIO, G. – RANDAZZO, C. – CURRENTI, W. – GALVANO, F. Serum Irisin Concentrations in Severely Inflamed Patients. In HORMONE AND METABOLIC RESEARCH. ISSN 0018-5043, 2020, vol. 52, no. 4, p. 246-250.

9. [1.1] CARNEROS, D. – LOPEZ-LLUCH, G. – BUSTOS, M. Physiopathology of Lifestyle Interventions in Non-Alcoholic Fatty Liver Disease (NAFLD). In NUTRIENTS, 2020, vol. 12, no. 11.

10. [1.1] CHANG, J.S. – KONG, I.D. Irisin prevents dexamethasone-induced atrophy in C2C12 myotubes. In PFLUGERS ARCHIV-EUROPEAN JOURNAL OF PHYSIOLOGY. ISSN 0031-6768, 2020, vol. 472, no. 4, p. 495-502.

11. [1.1] FARRASH, W. – BROOK, M. – CROSSLAND, H. – PHILLIPS, B.E. – CEGIELS, J. – WILKINSON, D.J. – CONSTANTIN-TEODOSIU, D. – GREENHAFF, P.L. – SMITH, K. – CLEASBY, M. – ATHERTON, P.J. Impacts of rat hindlimb Fndc5/irisin overexpression on muscle and adipose tissue metabolism. In AMERICAN JOURNAL OF PHYSIOLOGY-ENDOCRINOLOGY AND METABOLISM. ISSN 0193-1849, 2020, vol. 318, no. 6, p. E943-E955.

12. [1.1] GONZALEZ-GIL, A.M. – ELIZONDO-MONTEMAYOR, L. The Role of Exercise in the Interplay between Myokines, Hepatokines, Osteokines, Adipokines, and Modulation of Inflammation for Energy Substrate Redistribution and Fat Mass Loss: A Review. In NUTRIENTS, 2020, vol. 12, no. 6.

13. [1.1] GUO, A. – LI, K. – XIAO, Q. Sarcopenic obesity: Myokines as potential diagnostic biomarkers and therapeutic targets? In EXPERIMENTAL GERONTOLOGY. ISSN 0531-5565, 2020, vol. 139.

14. [1.1] GUO, W. – ZHANG, B. – WANG, X. Lower irisin levels in coronary artery disease: a meta-analysis. In MINERVA ENDOCRINOLOGICA. ISSN 0391-1977, 2020, vol. 45, no. 1, p. 61-69.

15. [1.1] GUTAJ, P. – SIBIAK, R. – JANKOWSKI, M. – AWDI, K. – BRYL, R. – MOZDZIAK, P. – KEMPISTY, B. – WENDER-OZEGOWSKA, E. The Role of the Adipokines in the Most Common Gestational Complications. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, vol. 21, no. 24.

16. [1.1] HONG, S. – CHOI, K.M. Sarcopenic Obesity, Insulin Resistance, and Their Implications in Cardiovascular and Metabolic Consequences. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, vol. 21, no. 2.

17. [1.1] HUERTA-DELGADO, A.S. – ROFFE-VAZQUEZ, D.N. – GONZALEZ-GIL, A.M. – VILLARREAL-CALDERON, J.R. – TAMEZ-RIVERA, O. – RODRIGUEZ-GUTIERREZ, N.A. – CASTILLO, E.C. – SILVA-PLATAS, C. – GARCIA-RIVAS, G. – ELIZONDO-MONTEMAYOR, L. Serum Irisin Levels, Endothelial Dysfunction, and Inflammation in Pediatric Patients with Type 2 Diabetes Mellitus and Metabolic Syndrome. In JOURNAL OF DIABETES RESEARCH. ISSN 2314-6745, 2020, vol. 2020.

18. [1.1] HUO, C.-J. – YU, X.-J. – SUN, Y.-J. – LI, H.-B. – SU, Q. – BAI, J. – LI, Y. – LIU, K.-L. – QI, J. – ZHOU, S.-W. – JIA, N. – ZHU, G.-Q. – LIU, J.-J. – KANG, Y.-M. Irisin lowers blood pressure by activating the Nrf2 signaling pathway in the hypothalamic paraventricular nucleus of spontaneously hypertensive rats. In TOXICOLOGY AND APPLIED PHARMACOLOGY. ISSN 0041-008X, 2020, vol. 394.

19. [1.1] IRANDOOST, P. – MESRI ALAMDARI, N. – SAIDPOUR, A. – SHIDFAR, F. – ROSHANRAVAN, N. – ASGHARI JAFARABADI, M. – FARSI, F. – ASGHARI HANJANI, N. – VAFA, M. The effects of royal jelly and tocotrienol-rich fraction on impaired glycemic control and inflammation through irisin in obese rats. In JOURNAL OF FOOD BIOCHEMISTRY. ISSN 0145-8884, 2020, vol. 44, no. 12.

20. [1.1] JORO, R. – KORKMAZ, A. – LAKKA, T.A. – UUSITALO, A.L.T. – ATALAY, M. Plasma irisin and its associations with oxidative stress in athletes suffering from overtraining syndrome. In PHYSIOLOGY INTERNATIONAL. ISSN 2498-602X, 2020, vol. 107, no. 4, p. 513-526.

21. [1.1] KIM, G. – KIM, J.H. Impact of Skeletal Muscle Mass on Metabolic Health. In ENDOCRINOLOGY AND METABOLISM. ISSN 2093-596X, 2020, vol. 35, no. 1, p. 1-6.

22. [1.1] KWON, J.H. – MOON, K.M. – MIN, K.-W. Exercise-Induced Myokines can Explain the Importance of Physical Activity in the Elderly: An Overview. In HEALTHCARE, 2020, vol. 8, no. 4.

23. [1.1] MARTIN, A.R. – CHUNG, S. – KOEHLER, K. Is Exercise a Match for Cold Exposure? Common Molecular Framework for Adipose Tissue Browning. In INTERNATIONAL JOURNAL OF SPORTS MEDICINE. ISSN 0172-4622, 2020, vol. 41, no. 7, p. 427-442.

24. [1.1] MARTINEZ-HUENCHULLAN, S.F. – TAM, C.S. – BAN, L.A. – EHRENFELD-SLATER, P. – MCLENNAN, S.V. – TWIGG, S.M. Skeletal muscle adiponectin induction in obesity and exercise. In METABOLISM-CLINICAL AND EXPERIMENTAL. ISSN 0026-0495, 2020, vol. 102.

25. [1.1] MURAWSKA-CIALOWICZ, E. – WOLANSKI, P. – ZUWALA-JAGIELLO, J. – FEITO, Y. – PETR, M. – KOKSTEJN, J. – STASTNY, P. – GOLINSKI, D. Effect of HIIT with Tabata Protocol on Serum Irisin, Physical Performance, and Body Composition in Men. In INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, vol. 17, no. 10.

26. [1.1] OZAN, M. – KARAKURT, S.- AGGON, E. – AGIRBAS, O. – UCAN, E. – ALP, H.H. The Effects of Strenght Exercises on Body Composition and Irisin. In INTERNATIONAL JOURNAL OF APPLIED EXERCISE PHYSIOLOGY. ISSN 2322-3537, 2020, vol. 9, no. 3, p. 178-186.

27. [1.1] PARIS, M.T. – BELL, K.E. – MOURTZAKIS, M. Myokines and adipokines in sarcopenia: understanding cross-talk between skeletal muscle and adipose tissue and the role of exercise. In CURRENT OPINION IN PHARMACOLOGY. ISSN 1471-4892, 2020, vol. 52, p. 61-66.

28. [1.1] PARK, E.J. – MYINT, P.K. – ITO, A. – APPIAH, M.G. – DARKWAH, S. – KAWAMOTO, E. – SHIMAOKA, M. Integrin-Ligand Interactions in Inflammation, Cancer, and Metabolic Disease: Insights Into the Multifaceted Roles of an Emerging Ligand Irisin. In FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY. ISSN 2296-634X, 2020, vol. 8.

29. [1.1] RABIEE, F. – LACHINANI, L. – GHAEDI, S. – NASR-ESFAHANI, M.H. – MEGRAW, T.L. – GHAEDI, K. New insights into the cellular activities of Fndc5/Irisin and its signaling pathways. In CELL AND BIOSCIENCE, 2020, vol. 10, no. 1.

30. [1.1] SADEGHIPOUR, H.R. – YEGANEH, G. – ZAR, A. – SALESI, M. – AKBARZADEH, S. – BERNARDI, M. The effect of 4-week endurance training on serum levels of irisin and betatrophin in streptozotocin- induced diabetic rats. In ARCHIVES OF PHYSIOLOGY AND BIOCHEMISTRY. ISSN 1381-3455, 2020.

31. [1.1] TU, T. – PENG, J. – JIANG, Y. FNDC5/Irisin: A New Protagonist in Acute Brain Injury. In STEM CELLS AND DEVELOPMENT. ISSN 1547-3287, 2020, vol. 29, no. 9, p. 533-543.

32. [1.1] VERPOORTEN, S. – SFYRI, P. – SCULLY, D. – MITCHELL, R. – TZIMOU, A. – MOUGIOS, V. – PATEL, K. – MATSAKAS, A. Loss of CD36 protects against diet-induced obesity but results in impaired muscle stem cell function, delayed muscle regeneration and hepatic steatosis. In ACTA PHYSIOLOGICA. ISSN 1748-1708, 2020, vol. 228, no. 3.

33. [1.1] WANG, Z. – WANG, Z. – PANG, Y. – TONG, H. – YAN, Y. – LI, S. – LI, S. Fibronectin type III domain-containing 4 promotes the migration and differentiation of bovine skeletal muscle-derived satellite cells via focal adhesion kinase. In CELL ADHESION & MIGRATION. ISSN 1933-6918, 2020, vol. 14, no. 1, p. 153-164.

34. [1.1] ZEBROWSKA, A. – SIKORA, M. – KONARSKA, A. – ZWIERZCHOWSKA, A. – KAMINSKI, T. – ROBINS, A. – HALL, B. Moderate intensity exercise in hypoxia increases IGF-1 bioavailability and serum irisin in individuals with type 1 diabetes. In THERAPEUTIC ADVANCES IN ENDOCRINOLOGY AND METABOLISM. ISSN 2042-0188, 2020, vol. 11.

35. [1.2] ALKHADER, R.A.Y. – WAHAB ALI, K.A. – RAHMAH AL-KHARASANI, A.M. Irisin levels related to glycosylated hemoglobin in type 2 diabetic obese women. In IRAQI JOURNAL OF SCIENCE. ISSN 0067-2904, 2020, vol. 61, no. 9, p. 2150-2155.

36. [1.2] ASGHARI, E. – RASHIDLAMIR, A. – HOSSEINI, S.R.A. – MOAZZAMI, M. – SAMARGHANDIAN, S. – FARKHONDEH, T. Synergism effects of ursolic acid supplementation on the levels of irisin, C-reactive protein, IL-6, and TNF-α during high-intensity resistance training in low activity men. In CARDIOVASCULAR AND HEMATOLOGICAL DISORDERS DRUG TARGETS. ISSN 1871-529X, 2020, vol. 20, no. 2, p. 138-144.

37. [1.2] EL SHARKAWY, R. – GEORGE, J. – ESLAM, M. Genes and NAFLD/NASH progression. In NAFLD AND NASH: BIOMARKERS IN DETECTION, DIAGNOSIS AND MONITORING, 2020, p. 29-47.

38. [1.2] FOSSATI, C. – PAPALIA, R. – TORRE, G. – VADALA, G. – BORRIONE, P. – GRAZIOLI, E. – MAZZOLA, C. – PARISI, A. – PIGOZZI, F. – DENARO, V. Frailty of the elderly in orthopaedic surgery and body composition changes: The Musculoskeletal crosstalk through irisin. In JOURNAL OF BIOLOGICAL REGULATORS AND HOMEOSTATIC AGENTS. ISSN 0393-974X, 2020, vol. 34, no. 4, p. 327-335.

39. [1.2] KIRAT, D. – MIYASHO, T. – AMIN, T. – MOUSTAFA, A. – HAMADA, M. FNDC5 Gene Expression in the Smooth Muscles of Dromedary Camels (Camelus dromedarius). In INTERNATIONAL JOURNAL OF VETERINARY SCIENCE. ISSN 2304-3075, 2020, vol. 9, no. 1, p. 121-125.

40. [1.2] PASHKOVA, O.E. – CHUDOVA, N.I. – STOIAK, H.V. Irizin as a marker of diabetic myopathy in children with diabetes type. In PROBLEMI ENDOKRINNOI PATOLOGII. ISSN 2227-4782, 2020, vol. 2020, no. 1, p. 49-57.

41. [1.2] RASHID, F.A. – ABBAS, H.J. – NASER, N.A. – ADDAI ALI, H.A. Effect of Long-Term Moderate Physical Exercise on Irisin between Normal Weight and Obese Men. In SCIENTIFIC WORLD JOURNAL. ISSN 2356-6140, 2020, vol. 2020.

42. [3.1] ABBAS, L.A. – HUSSEIN, S.M. – HAMEED, W.E. Association between Iris in and Obesity. In INDIAN JOURNAL OF PUBLIC HEALTH RESEARCH & DEVELOPMENT. ISSN 0976-0245, 2020, vol. 11, no. 4, p. 1171-1178.

43. [3.1] BENASSI, R. – DE OLIVEIRA DA SILVA, D. – ROMEU DA SILVA NOGUEIRA, E. – PIRES DA SILVA, E. – DAMAZIO DE OLIVEIRA, J. – DA SILVA MANHAES, T. – DE FÁTIMA RODRIGUES PAULINO, E. – MONTEIRO DE MAGALHAES NETO, A. – CARLOS OLIVEIRA GONCALVES, L. Risin and its effects on cardiometabolic diseases in physical conditioning and treatment of COVID-19. In WORLD JOURNAL OF PHARMACY AND PHARMACEUTICAL SCIENCES. ISSN 2278-4357, 2020, vol. 10, no. 2, p. 76-87.

44. [3.1] DEHGHANI, K. – MOGHARNASI, M. – SAGHEBJOO, M. – SARIR, H. – MALEKANEH, M. The Effect of Eight Weeks of Circuit Resistance Training and Spirulina Supplementation on Plasma Levels of Irisin and Some Body Composition in Overweight and Obese Men. In ARMAGHAN DANESH. ISSN 1728-6506, 2020, vol. 25, no. 3, p. 332-345.

45. [3.1] SUN, Z. – FAN, J. – LIANG, X. – ZHAO, Y. – ZHANG, X. – ZHANG, L. – SUN, X. – ZHAO, Y. Physiological Effects of Irisin and its Research Progress. In OPEN JOURNAL OF NATURAL SCIENCE. ISSN 2330-1724, 2020, vol. 9, no. 1, p. 147-153.

46. [3.1] XUAN, X. – LIN, J. – ZHANG, Y. – ZHOU, L. – XU, L. – JIA, J. – ZHAO, B. – LIN, Z. – ZHU, Q. – LI, L. – WU, T. – ZHANG, S. – JIANG, H. – WANG, Y. Serum Irisin Levels and Clinical Implication in Elderly Patients With Type 2 Diabetes Mellitus. In JOURNAL OF CLINICAL MEDICINE RESEARCH, 2020, vol. 12, no. 9, pp. 612–617, doi: 10.14740/jocmr4261.

 

• 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). ISSN 1434-6621. Dostupné na: https://doi.org/10.1515/CCLM.2008.181

WOS citations: 3; SCOPUS citations: 3

1. [1.1] HARSHMAN, S.W. – PITSCH, R.L. – DAVIDSON, C.N. – LEE, E.M. – SCOTT, A.M. – HILL, E.M. – MAINALI, P. – BROOKS, Z.E. – STRAYER, K.E. – SCHAEUBLIN, N.M. – WIENS, T.L. – BROTHERS, M.C. – DRUMMOND, L.A. – YAMAMOTO, D.P. – MARTIN, J.A. Evaluation of a standardized collection device for exhaled breath sampling onto thermal desorption tubes. In JOURNAL OF BREATH RESEARCH. ISSN 1752-7155, 2020, vol. 14, no. 3.

2. [1.1] MCCARTNEY, M.M. – THOMPSON, C.J. – KLEIN, L.R. – NGO, J.H. – SEIBEL, J.D. – FABIA, F. – SIMMS, L.A. – BORRAS, E. – YOUNG, B.S. – LARA, J. – TURNLUND, M.W. – NGUYEN, A.P. – KENYON, N.J. – DAVIS, C.E. Breath carbonyl levels in a human population of seven hundred participants. In JOURNAL OF BREATH RESEARCH. ISSN 1752-7155, 2020, vol. 14, no. 4.

3. [1.1] MITOVA, M.I. – CLUSE, C. – GOUJON-GINGLINGER, C.G. – KLEINHANS, S. – ROTACH, M. – THARIN, M. Human chemical signature: Investigation on the influence of human presence and selected activities on concentrations of airborne constituents. In ENVIRONMENTAL POLLUTION. ISSN 0269-7491, 2020, vol. 257.

4. [1.2] AMAL, H. – HAICK, H. Point of care breath analysis systems. In ADVANCED NANOMATERIALS FOR INEXPENSIVE GAS MICROSENSORS: SYNTHESIS, INTEGRATION AND APPLICATIONS, 2020, p. 315-334.

5. [1.2] HARSHMAN, S.W. – PITSCH, R.L. – DAVIDSON, C.N. – SCOTT, A.M. – HILL, E.M. – SMITH, Z.K. – STRAYER, K.E. – SCHAEUBLIN, N.M. – WIENS, T.L. – BROTHERS, M.C. – SLUSHER, G.M. – STEELE, M.L. – GEIER, B.A. – FAN, M. – DRUMMOND, L.A. – MARTIN, J.A. Characterization of standardized breath sampling for off-line field use. In JOURNAL OF BREATH RESEARCH. ISSN 1752-7155, 2020, vol. 14, no. 1.

6. [1.2] HORI, A. – SUIJO, K. – OGATA, H. – BABA, R. – KONDO, T. – HOTTA, N. Relationship between breath isoprene excretion and oxidative stress responses to submaximal exercise. In JAPANESE JOURNAL OF PHYSICAL FITNESS AND SPORTS MEDICINE. ISSN 0039-906X, 2020, vol. 69, no. 2, p. 211-220.

 

• 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). ISSN 0730-725X. Dostupné na: https://doi.org/10.1016/j.mri.2007.05.004

WOS citations: 1

1. [2.1] ANDRIS, P. – FROLLO, I. Sensitivity Analysis of the Simply Noise-matched Receiving Coil for NMR Experiments. In MEASUREMENT SCIENCE REVIEW. ISSN 1335-8871, 2020, vol. 20, no. 5, p. 236-240.

 

• 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, karentované – CCC). (2007 – Current Contents). ISSN 0730-725X. Dostupné na: https://doi.org/10.1016/j.mri.2007.02.002

WOS citations: 1

1. [2.1] ANDRIS, P. – FROLLO, I. Sensitivity Analysis of the Simply Noise-matched Receiving Coil for NMR Experiments. In MEASUREMENT SCIENCE REVIEW. ISSN 1335-8871, 2020, vol. 20, no. 5, p. 236-240.

 

• LATTA, Peter – GRUWEL, M.L.H. – JELLÚŠ, Vladimír – TOMANEK, B. Bloch simulations with intra-voxel spin dephasing. In Journal of Magnetic Resonance, 2010, vol. 203, p. 44-51. (2009: 2.531 – IF, Q2 – JCR, 1.632 – SJR, Q1 – SJR, karentované – CCC). (2010 – Current Contents). ISSN 1090-7807. Dostupné na: https://doi.org/10.1016/j.jmr.2009.11.019

WOS citations: 2

1. [1.1] ABADI, E. – SEGARS, W.P. – TSUI, B.M.W. – KINAHAN, P.E. – BOTTENUS, N. – FRANGI, A.F. – MAIDMENT, A. – LO, J. – SAMEI, E. Virtual clinical trials in medical imaging: a review. In JOURNAL OF MEDICAL IMAGING. ISSN 2329-4302, JUL 2020, vol. 7, no. 4.

2. [1.1] KOSE, R. – KOSE, K. – TERADA, Y. – TAMADA, D. – MOTOSUGI, U. Development of a method for the Bloch image simulation of biological tissues. In MAGNETIC RESONANCE IMAGING. ISSN 0730-725X, DEC 2020, vol. 74, p. 250-257.

 

• 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, karentované – CCC). (2012 – Current Contents). ISSN 0169-2607. Dostupné na: https://doi.org/10.1016/j.cmpb.2012.05.009

WOS citations: 1

1. [1.1] MENDONCA, Fabio – MOSTAFA, Sheikh Shanawaz – MORGADO-DIAS, Fernando – RAVELO-GARCIA, Antonio G. Cyclic alternating pattern estimation based on a probabilistic model over an EEG signal. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, 2020, vol. 62.

 

• 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. Dostupné na: https://doi.org/10.1016/j.neunet.2004.07.004

WOS citations: 8; SCOPUS citations: 1

1. [1.1] BECKAGE, N.M. – MOZER, M.C. – COLUNGA, E. Quantifying the Role of Vocabulary Knowledge in Predicting Future Word Learning. In IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS. ISSN 2379-8920, JUN 2020, vol. 12, no. 2, p. 148-159.

2. [1.1] FITZGERALD, J. – ELMORE, J. – RELYEA, J.E. – STENNER, A.J. Domain-Specific Academic Vocabulary Network Development in Elementary Grades Core Disciplinary Textbooks. In JOURNAL OF EDUCATIONAL PSYCHOLOGY. ISSN 0022-0663, JUL 2020, vol. 112, no. 5, p. 855-879.

3. [1.1] FLOCCIA, C. – DELLE LUCHE, C. – LEPADATU, I. – CHOW, J. – RATNAGE, P. – PLUNKETT, K. Translation equivalent and cross-language semantic priming in bilingual toddlers. In JOURNAL OF MEMORY AND LANGUAGE. ISSN 0749-596X, JUN 2020, vol. 112.

4. [1.1] GUNNERUD, H.L. – TEN BRAAK, D. – REIKERAS, E.K.L. – DONOLATO, E. – MELBY-LERVAG, M. Is Bilingualism Related to a Cognitive Advantage in Children? A Systematic Review and Meta-Analysis. In PSYCHOLOGICAL BULLETIN. ISSN 0033-2909, DEC 2020, vol. 146, no. 12, p. 1059-1083.

5. [1.1] HORST, J.S. – TWOMEY, K.E. – MORSE, A.F. – NURSE, R. – CANGELOSI, A. When Object Color Is a Red Herring: Extraneous Perceptual Information Hinders Word Learning via Referent Selection. In IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS. ISSN 2379-8920, JUN 2020, vol. 12, no. 2, p. 222-231.

6. [1.1] MARTIN, K.I. – TOKOWICZ, N. The grammatical class effect is separable from the concreteness effect in language learning. In BILINGUALISM-LANGUAGE AND COGNITION. ISSN 1366-7289, MAY 2020, vol. 23, no. 3, p. 554-569.

7. [1.1] PEREZ-HERNANDEZ, L. – DUVIGNAU, K. A COGNITIVE APPROACH TO SEMANTIC APPROXIMATIONS IN MONOLINGUAL ENGLISH-SPEAKING CHILDREN. In POZNAN STUDIES IN CONTEMPORARY LINGUISTICS. ISSN 1897-7499, JUN 2020, vol. 56, no. 2, p. 277-313.

8. [1.1]MCCARTHY, L. – MIRALPEIX, I. Organizational and Formational Structures of Networks in the Mental Lexicon: A State-Of-The-Art through Systematic Review. In LANGUAGES, 2020, vol. 5, no. 1.

9. [1.2] FERRER-XIPELL, R. A review of the theories of lexical access and storage in bilinguals. In REVISTA DE LOGOPEDIA, FONIATRIA Y AUDIOLOGIA. ISSN 0214-4603, 2020, vol. 40, no. 3, p. 138-147.

 

• MAJEROVÁ, Melinda – DVUREČENSKIJ, Andrej – CIGÁŇ, Alexander – ŠKRÁTEK, Martin – PRNOVÁ, A. – KRAXNER, J. – GALUSEK, D. – MAŇKA, Ján. Magnetic properties of synthetic gehlenite glass microspheres. In Acta Physica Polonica A, 2017, vol. 131, no. 4, p. 699-701. (2016: 0.469 – IF, Q4 – JCR, 0.227 – SJR, Q4 – SJR, karentované – CCC). (2017 – Current Contents, WOS, SCOPUS). ISSN 1898-794X. Dostupné na: https://doi.org/10.12693/APhysPolA.131.699

WOS citations: 1

1. [1.1] KHATER, G.A. – NABAWY, B.S. – KANG, J. – YUE, Y. – MAHMOUD, M.A. Magnetic and Electrical Properties of Glass and Glass-Ceramics Based on Weathered Basalt. In SILICON. ISSN 1876-990X, 2020, vol. 12, no. 12, p. 2921-2940.

 

• 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, karentované – CCC). (2008 – Current Contents). ISSN 0720-048X. Dostupné na: https://doi.org/10.1016/j.ejrad.2007.09.015

SCOPUS citations: 1

1. [1.2] THAWAIT, G.K. – ANDREISEK, G. – CHHABRA, A.B. Diagnostic imaging of knee cartilage injury: Evaluation and assessment. In ARTICULAR CARTILAGE OF THE KNEE: HEALTH, DISEASE AND THERAPY, 2020, p. 195-213.

 

• 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, karentované – CCC). (2009 – Current Contents). ISSN 0020-9996. Dostupné na: https://doi.org/10.1097/RLI.0b013e3181a50a66

WOS citations: 8

1. [1.1] ATTENBERGER, U.I. – LANGS, G. How does Radiomics actually work? – Review. In ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN. ISSN 1438-9029, 2020.

2. [1.1] DREHER, C. – KUDER, T.A. – KONIG, F. – MLYNARSKA-BUJNY, A. – TENCONI, C. – PAECH, D. – SCHLEMMER, H.P. – LADD, M.E. – BICKELHAUPT, S. Radiomics in diffusion data: a test-retest, inter- and intra-reader DWI phantom study. In CLINICAL RADIOLOGY. ISSN 0009-9260, OCT 2020, vol. 75, no. 10.

3. [1.1] HASSANI, C. – SAREMI, F. – VARGHESE, B.A. – DUDDALWAR, V. Myocardial Radiomics in Cardiac MRI. In AMERICAN JOURNAL OF ROENTGENOLOGY. ISSN 0361-803X, MAR 2020, vol. 214, no. 3, p. 536-545.

4. [1.1] MANNIL, M. – EBERHARD, M. – VON SPICZAK, J. – HEINDEL, W. – ALKADHI, H. – BAESSLER, B. Artificial Intelligence and Texture Analysis in Cardiac Imaging. In CURRENT CARDIOLOGY REPORTS. ISSN 1523-3782, SEP 10 2020, vol. 22, no. 11.

5. [1.1] MARTIN-ISLA, C. – CAMPELLO, V.M. – IZQUIERDO, C. – RAISI-ESTABRAGH, Z. – BAESSLER, B. – PETERSEN, S.E. – LEKADIR, K. Image-Based Cardiac Diagnosis With Machine Learning: A Review. In FRONTIERS IN CARDIOVASCULAR MEDICINE. ISSN 2297-055X, JAN 24 2020, vol. 7.

6. [1.1] VALLADARES, A. – BEYER, T. – RAUSCH, I. Physical imaging phantoms for simulation of tumor heterogeneity in PET, CT, and MRI: An overview of existing designs. In MEDICAL PHYSICS. ISSN 0094-2405, APR 2020, vol. 47, no. 4, p. 2023-2037.

7. [1.1] XU, J.Y. – CUI, X.X. – WANG, B.M. – WANG, G.Y. – HAN, M. – LI, R.R. – QI, Y.N. – XIU, J.J. – YANG, Q.L. – LIU, Z. – HAN, M.Y. Texture analysis of early cerebral tissue damage in magnetic resonance imaging of patients with lung cancer. In ONCOLOGY LETTERS. ISSN 1792-1074, APR 2020, vol. 19, no. 4, p. 3089-3100.

8. [1.1] ZHANG, Y. – KO, C.C. – CHEN, J.H. – CHANG, K.T. – CHEN, T.Y. – LIM, S.W. – TSUI, Y.K. – SU, M.Y. Radiomics Approach for Prediction of Recurrence in Non-Functioning Pituitary Macroadenomas. In FRONTIERS IN ONCOLOGY. ISSN 2234-943X, DEC 18 2020, vol. 10.

 

• 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). ISSN 0094-2405. Dostupné na: https://doi.org/10.1118/1.3081408

WOS citations: 28; SCOPUS citations: 3

1. [1.1] AKRAM, F. – KOH, P.E. – WANG, F.Q. – ZHOU, S.Q. – TAN, S.H. – PAKNEZHAD, M. – PARK, S. – HENNEDIGE, T. – THNG, C.H. – LEE, H.K. – SOMMAT, K. Exploring MRI based radiomics analysis of intratumoral spatial heterogeneity in locally advanced nasopharyngeal carcinoma treated with intensity modulated radiotherapy. In PLOS ONE. ISSN 1932-6203, OCT 5 2020, vol. 15, no. 10.

2. [1.1] ALVES, A.F.F. – MIRANDA, J.R.D. – REIS, F. – DE SOUZA, S.A.S. – ALVES, L.L.R. – FEITOZA, L.D. – DE CASTRO, J.T.D. – DE PINA, D.R. Inflammatory lesions and brain tumors: is it possible to differentiate them based on texture features in magnetic resonance imaging?. In JOURNAL OF VENOMOUS ANIMALS AND TOXINS INCLUDING TROPICAL DISEASES. SEP 4 2020, vol. 26.

3. [1.1] BIANCHINI, L. – BOTTA, F. – ORIGGI, D. – RIZZO, S. – MARIANI, M. – SUMMERS, P. – GARCIA-POLO, P. – CREMONESI, M. – LASCIALFARI, A. PETER PHAN: An MRI phantom for the optimisation of radiomic studies of the female pelvis. In PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS. ISSN 1120-1797, MAR 2020, vol. 71, p. 71-81.

4. [1.1] BIANCHINI, L. – SANTINHA, J. – LOUCAO, N. – FIGUEIREDO, M. – BOTTA, F. – ORIGGI, D. – CREMONESI, M. – CASSANO, E. – PAPANIKOLAOU, N. – LASCIALFARI, A. A multicenter study on radiomic features from T-2-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, 2020.

5. [1.1] CARRE, A. – KLAUSNER, G. – EDJLALI, M. – LEROUSSEAU, M. – BRIEND-DIOP, J. – SUN, R. – AMMARI, S. – REUZE, S. – ANDRES, E.A. – ESTIENNE, T. – NIYOTEKA, S. – BATTISTELLA, E. – VAKALOPOULOU, M. – DHERMAIN, F. – PARAGIOS, N. – DEUTSCH, E. – OPPENHEIM, C. – PALLUD, J. – ROBERT, C. Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics. In SCIENTIFIC REPORTS. ISSN 2045-2322, JUL 23 2020, vol. 10, no. 1.

6. [1.1] CHEN, H. – HE, Y. – ZHAO, C. – ZHENG, L. – PAN, N. – QIU, J. – ZHANG, Z. – NIU, X. – YUAN, Z. Reproducibility of radiomics features derived from intravoxel incoherent motion diffusion-weighted MRI of cervical cancer. In ACTA RADIOLOGICA. ISSN 0284-1851, 2020.

7. [1.1] CROMBE, A. – FADLI, D. – BUY, X. – ITALIANO, A. – SAUT, O. – KIND, M. High-Grade Soft-Tissue Sarcomas: Can Optimizing Dynamic Contrast-Enhanced MRI Postprocessing Improve Prognostic Radiomics Models?. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, JUL 2020, vol. 52, no. 1, p. 282-297.

8. [1.1] DALAL, V. – CARMICHEAL, J. – DHALIWAL, A. – JAIN, M. – KAUR, S. – BATRA, S.K. Radiomics in stratification of pancreatic cystic lesions: Machine learning in action. In CANCER LETTERS. ISSN 0304-3835, 2020, vol. 469, p. 228-237.

9. [1.1] DIECKMEYER, M. – JUNKER, D. – RUSCHKE, S. – MOOKIAH, M.R.K. – SUBBURAJ, K. – BURIAN, E. – SOLLMANN, N. – KIRSCHKE, J.S. – KARAMPINOS, D.C. – BAUM, T. Vertebral Bone Marrow Heterogeneity Using Texture Analysis of Chemical Shift Encoding-Based MRI: Variations in Age, Sex, and Anatomical Location. In FRONTIERS IN ENDOCRINOLOGY. ISSN 1664-2392, OCT 15 2020, vol. 11.

10. [1.1] GEORGE-JONES, N.A. – CHKHEIDZE, R. – MOORE, S. – WANG, J. – HUNTER, J.B. MRI Texture Features are Associated with Vestibular Schwannoma Histology. In LARYNGOSCOPE. ISSN 0023-852X, 2020.

11. [1.1] GHOSH, A. – MALLA, S.R. – BHALLA, A.S. – MANCHANDA, S. – KANDASAMY, D. – KUMAR, R. Texture analysis of routine T2 weighted fat-saturated images can identify head and neck paragangliomas – A pilot study. In EUROPEAN JOURNAL OF RADIOLOGY OPEN. 2020, vol. 7.

12. [1.1] HASSANI, C. – SAREMI, F. – VARGHESE, B.A. – DUDDALWAR, V. Myocardial Radiomics in Cardiac MRI. In AMERICAN JOURNAL OF ROENTGENOLOGY. ISSN 0361-803X, MAR 2020, vol. 214, no. 3, p. 536-545.

13. [1.1] HE, Y. – RONG, Y. – CHEN, H. – ZHANG, Z. – QIU, J. – ZHENG, L. – BENEDICT, S. – NIU, X. – PAN, N. – LIU, Y. – YUAN, Z. Impact of different b-value combinations on radiomics features of apparent diffusion coefficient in cervical cancer. In ACTA RADIOLOGICA. ISSN 0284-1851, 2020, vol. 61, no. 4, p. 568-576.

14. [1.1] KONG, Z.R. – JIANG, C.D. – ZHANG, Y.W. – LIU, S.R. – LIU, D.L. – LIU, Z.Y. – CHEN, W.L. – LIU, P.H. – YANG, T.R. – LYU, Y. – ZHAO, D.C. – YOU, H. – WANG, Y. – MA, W.B. – FENG, F. Thin-Slice Magnetic Resonance Imaging-Based Radiomics Signature Predicts Chromosomal 1p/19q Co-deletion Status in Grade II and III Gliomas. In FRONTIERS IN NEUROLOGY. ISSN 1664-2295, OCT 22 2020, vol. 11.

15. [1.1] LIU, M.J. – MAO, N. – MA, H. – DONG, J.J. – ZHANG, K. – CHE, K.L. – DUAN, S.F. – ZHANG, X.X. – SHI, Y.H. – XIE, H.Z. Pharmacokinetic parameters and radiomics model based on dynamic contrast enhanced MRI for the preoperative prediction of sentinel lymph node metastasis in breast cancer. In CANCER IMAGING. ISSN 1740-5025, SEP 15 2020, vol. 20, no. 1.

16. [1.1] MA, S. – XIE, H. – WANG, H. – YANG, J. – HAN, C. – WANG, X. – ZHANG, Xi. Preoperative Prediction of Extracapsular Extension: Radiomics Signature Based on Magnetic Resonance Imaging to Stage Prostate Cancer. In MOLECULAR IMAGING AND BIOLOGY. ISSN 1536-1632, 2020, vol. 22, no. 3, p. 711-721.

17. [1.1] MACHADO, L.F. – ELIAS, P.C.L. – MOREIRA, A.C. – DOS SANTOS, A.C. – MURTA, L.O. MRI radiomics for the prediction of recurrence in patients with clinically non-functioning pituitary macroadenomas. In COMPUTERS IN BIOLOGY AND MEDICINE. ISSN 0010-4825, SEP 2020, vol. 124.

18. [1.1] MASOKANO, I.B. – LIU, W.G. – XIE, S.M. – MARCELLIN, D.F.H. – PEI, Y.G. – LI, W.Z. The application of texture quantification in hepatocellular carcinoma using CT and MRI: a review of perspectives and challenges. In CANCER IMAGING. ISSN 1740-5025, SEP 22 2020, vol. 20, no. 1.

19. [1.1] MI, H.L. – YUAN, M.Y. – SUO, S.T. – CHENG, J.J. – LI, S.Q. – DUAN, S.F. – LU, Q. Impact of different scanners and acquisition parameters on robustness of MR radiomics features based on women’;s cervix. In SCIENTIFIC REPORTS. ISSN 2045-2322, NOV 23 2020, vol. 10, no. 1.

20. [1.1] PAN, S.S. – DING, Z.X. – ZHANG, L.X. – RUAN, M. – SHAN, Y.N. – DENG, M.X. – PANG, P.P. – SHEN, Q.J. A Nomogram Combined Radiomic and Semantic Features as Imaging Biomarker for Classification of Ovarian Cystadenomas. In FRONTIERS IN ONCOLOGY. ISSN 2234-943X, JUN 1 2020, vol. 10.

21. [1.1] PARK, H. – KIM, K.A. – JUNG, J.H. – RHIE, J. – CHOI, S.Y. MRI features and texture analysis for the early prediction of therapeutic response to neoadjuvant chemoradiotherapy and tumor recurrence of locally advanced rectal cancer. In EUROPEAN RADIOLOGY. ISSN 0938-7994, AUG 2020, vol. 30, no. 8, p. 4201-4211.

22. [1.1] RAI, R. – HOLLOWAY, L.C. – BRINK, C. – FIELD, M. – CHRISTIANSEN, R.L. – SUN, Y. – BARTON, M.B. – LINEY, G.P. Multicenter evaluation of MRI-based radiomic features: A phantom study. In MEDICAL PHYSICS. ISSN 0094-2405, JUL 2020, vol. 47, no. 7, p. 3054-3063.

23. [1.1] SIMPSON, G. – FORD, J.C. – LLORENTE, R. – PORTELANCE, L. – YANG, F. – MELLON, E.A. – DOGAN, N. Impact of quantization algorithm and number of gray level intensities on variability and repeatability of low field strength magnetic resonance image-based radiomics texture features. In PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS. ISSN 1120-1797, DEC 2020, vol. 80, p. 209-220.

24. [1.1] TA, D. – KHAN, M. – ISHAQUE, A. – SERES, P. – EURICH, D. – YANG, Y.-H. – KALRA, S. Reliability of 3D texture analysis: A multicenter MRI study of the brain. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, 2020, vol. 51, no. 4, p. 1200-1209.

25. [1.1] THOMAS, J.V. – ABOU ELKASSEM, A.M. – GANESHAN, B. – SMITH, A.D. MR Imaging Texture Analysis in the Abdomen and Pelvis. In MAGNETIC RESONANCE IMAGING CLINICS OF NORTH AMERICA. ISSN 1064-9689, AUG 2020, vol. 28, no. 3, p. 447-+.

26. [1.1] VALLADARES, A. – BEYER, T. – RAUSCH, I. Physical imaging phantoms for simulation of tumor heterogeneity in PET, CT, and MRI: An overview of existing designs. In MEDICAL PHYSICS. ISSN 0094-2405, APR 2020, vol. 47, no. 4, p. 2023-2037.

27. [1.1] WHITNEY, H.M. – GIGER, M.L. Improvement of classification performance using harmonization across field strength of radiomic features extracted from DCE-MR images of the breast. In MEDICAL IMAGING 2020: COMPUTER-AIDED DIAGNOSIS. ISSN 0277-786X, 2020, vol. 11314.

28. [1.1] XU, J.Y. – CUI, X.X. – WANG, B.M. – WANG, G.Y. – HAN, M. – LI, R.R. – QI, Y.N. – XIU, J.J. – YANG, Q.L. – LIU, Z. – HAN, M.Y. Texture analysis of early cerebral tissue damage in magnetic resonance imaging of patients with lung cancer. In ONCOLOGY LETTERS. ISSN 1792-1074, APR 2020, vol. 19, no. 4, p. 3089-3100.

29. [1.2] BEREZOVSKAYA, T.P. – DAYNEKO, Y.A. – NEVOLSKIKH, A.A. – IVANOV, S.A. – KAPRIN, A.D. A system for evaluating the effectiveness of neoadjuvant chemoradiotherapy in patients with colorectal cancer based on a texture analysis of post-therapeutic T2 magnetic resonance imaging. In RUSSIAN ELECTRONIC JOURNAL OF RADIOLOGY. ISSN 2222-7415, 2020, vol. 10, no. 3, p. 92-101.

30. [1.2] CONTI, A. – DUGGENTO, A. – INDOVINA, I. – GUERRISI, M. – TOSCHI, N. Radiomics in breast cancer classification and prediction. In SEMINARS IN CANCER BIOLOGY. ISSN 1044-579X, 2020.

31. [1.2] LEE, G. – BAK, So H. – LEE, H.Y. – CHOI, J.Y. – PARK, H. Radiomics and Imaging Genomics for Evaluation of Tumor Response. In MEDICAL RADIOLOGY. ISSN 0942-5373, 2020, p. 221-238.

 

• 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, karentované – CCC). (2008 – Current Contents). ISSN 0933-3657. Dostupné na: https://doi.org/10.1016/j.artmed.2008.07.005

WOS citations: 10; SCOPUS citations: 2; other citations: 2

1. [1.1] AZIMI, H. – BOUCHARD, M. – GOUBRAN, R. – KNOEFEL, F. Unobtrusive Screening of Central Sleep Apnea From Pressure Sensors Measurements: A Patient-Specific Longitudinal Study. In IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. ISSN 0018-9456, JUN 2020, vol. 69, no. 6, 2, SI, p. 3282-3296.

2. [1.1] GLADUN, K.V. Higuchi Fractal Dimension as a Method for Assessing Response to Sound Stimuli in Patients with Diffuse Axonal Brain Injury. In SOVREMENNYE TEHNOLOGII V MEDICINE. ISSN 2076-4243, 2020, vol. 12, no. 4, p. 63-70.

3. [1.1] HUANG, X.Y. – SHIRAHAMA, K. – LI, F. – GRZEGORZEK, M. Sleep stage classification for child patients using DeConvolutional Neural Network. In ARTIFICIAL INTELLIGENCE IN MEDICINE. ISSN 0933-3657, NOV 2020, vol. 110.

4. [1.1] LENDNER, J.D. – HELFRICH, R.F. – MANDER, B.A. – ROMUNDSTAD, L. – LIN, J.J. – WALKER, M.P. – LARSSON, P.G. – KNIGHT, R.T. An electrophysiological marker of arousal level in humans. In ELIFE. ISSN 2050-084X, JUL 28 2020, vol. 9.

5. [1.1] LIU, D.H. – IMTIAZ, S.A. Studying the Effects of Compression in EEG-Based Wearable Sleep Monitoring Systems. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 168486-168501.

6. [1.1] NASSERI, M. – KREMEN, V. – NEJEDLY, P. – KIM, I. – CHANG, S.Y. – JO, H.J. – GURAGAIN, H. – NELSON, N. – PATTERSON, E. – STURGES, B.K. – CROWE, C.M. – DENISON, T. – BRINKMANN, B.H. – WORRELL, G.A. Semi-supervised training data selection improves seizure forecasting in canines with epilepsy. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, MAR 2020, vol. 57, SI.

7. [1.1] SHARMA, M. – PATEL, S. – CHOUDHARY, S. – ACHARYA, U.R. Automated Detection of Sleep Stages Using Energy-Localized Orthogonal Wavelet Filter Banks. In ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING. ISSN 2193-567X, APR 2020, vol. 45, no. 4, p. 2531-2544.

8. [1.1] TRIPATHY, R.K. – GHOSH, S.K. – GAJBHIYE, P. – ACHARYA, U.R. Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals. In ENTROPY. OCT 2020, vol. 22, no. 10.

9. [1.1] ZHANG, J.M. – YAO, R.X. – GE, W.G. – GAO, J.F. Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG. In COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. ISSN 0169-2607, JAN 2020, vol. 183.

10. [1.1] ZHOU, J.J. – WANG, G.S. – LIU, J.B. – WU, D.P. – XU, W.F. – WANG, Z.M. – YE, J. – XIA, M. – HU, Y. – TIAN, Y.Y. Automatic Sleep Stage Classification With Single Channel EEG Signal Based on Two-Layer Stacked Ensemble Model. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 57283-57297.

11. [1.2] DOGAHEH, S.B. – HASSAN MORADI, M. Automatic sleep stage classification based on Dreem headband’;s signals. In 27TH NATIONAL AND 5TH INTERNATIONAL IRANIAN CONFERENCE OF BIOMEDICAL ENGINEERING, ICBME 2020, 2020, p. 259-263.

12. [1.2] YAN, R. – LI, F. – WANG, X. – RISTANIEMI, T. – CONG, F. Automatic sleep scoring toolbox and its application in sleep Apnea. In COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE. ISSN 1865-0929, 2020, 1247 CCIS, p. 256-275.

13. [3.1] ALAM, M.R. – SAMENI, R. Automatic Wake-Sleep Stages Classification using Electroencephalogram Instantaneous Frequency and Envelope Tracking. In bioRxiv, 2020, doi.org/10.1101/2020.05.13.092841.

14. [3.1] NELSON, G. – MOLINA, G. System and method for increasing the restorative value of a nap. United States Patent US10537704B2, 2020.

 

• 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, karentované – CCC). (2012 – Current Contents). ISSN 1388-2457. Dostupné na: https://doi.org/10.1016/j.clinph.2012.01.016

WOS citations: 4; SCOPUS citations: 2; other citations: 1

1. [1.1] COX, R. – RUBER, T. – STARESINA, B.P. – FELL, J. Phase-based coordination of hippocampal and neocortical oscillations during human sleep. In COMMUNICATIONS BIOLOGY. APR 20 2020, vol. 3, no. 1.

2. [1.1] GHANBARI, Z. – MORADI, M.H. FSIFT-PLV: An emerging phase synchrony index. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, MAR 2020, vol. 57, SI.

3. [1.1] SCHOENBERG, P.L.A. Linear and Nonlinear EEG-Based Functional Networks in Anxiety Disorders. In ANXIETY DISORDERS: RETHINKING AND UNDERSTANDING RECENT DISCOVERIES. ISSN 0065-2598, 2020, vol. 1191, p. 35-59.

4. [1.1] YOSHINAGA, K. – MATSUHASHI, M. – MIMA, T. – FUKUYAMA, H. – TAKAHASHI, R. – HANAKAWA, T. – IKEDA, A. Comparison of Phase Synchronization Measures for Identifying Stimulus-Induced Functional Connectivity in Human Magnetoencephalographic and Simulated Data. In FRONTIERS IN NEUROSCIENCE. JUN 19 2020, vol. 14.

5. [1.2] LI, Y. – ZHANG, Y. – YANG, X. – XU, Z. – TANG, X. Phase synchronization of EEG in the head midline is associated with sleep-wakefulness stages. In 2020 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, ICMA 2020, p. 1587-1590.

6. [1.2] RIVERA-TELLO, S. – ROMO-VÁZQUEZ, R. – RAMOS-LOYO, J. Correlation of EEG Brain Waves in a Time Perception Task. In IFMBE PROCEEDINGS. ISSN 1680-0737, 2020, vol. 75, p. 79-84.

7. [3.1] GHANBARI, Z. – MORADI, M.H. Multivariate phase synchrony based on fuzzy statistics. In MODELLING AND ANALYSIS OF ACTIVE BIOPOTENTIAL SIGNALS IN HEALTHCARE, VOLUME 2. IOP Publishing Ltd, 2020, ISBN 978-0-7503-3409-9.

 

• 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, karentované – CCC). (2017 – Current Contents). ISSN 0938-7994. Dostupné na: https://doi.org/10.1007/s00330-016-4565-2

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

1. [1.1] CATTELL, R.F. – KANG, J.J. – REN, T. – HUANG, P.B. – MUTTREJA, A. – DACOSTA, S. – LI, H.F. – BAER, L. – CLOUSTON, S. – PALERMO, R. – FISHER, P. – BERNSTEIN, C. – COHEN, J.A. – DUONG, T.Q. MRI Volume Changes of Axillary Lymph Nodes as Predictor of Pathologic Complete Responses to Neoadjuvant Chemotherapy in Breast Cancer. In CLINICAL BREAST CANCER. ISSN 1526-8209, FEB 2020, vol. 20, no. 1, p. 68-71.

2. [1.1] FAN, M. – YUAN, W. – ZHAO, W.R. – XU, M.S. – WANG, S.W. – GAO, X. – LI, L.H. Joint Prediction of Breast Cancer Histological Grade and Ki-67 Expression Level Based on DCE-MRI and DWI Radiomics. In IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. ISSN 2168-2194, JUN 2020, vol. 24, no. 6, p. 1632-1642.

3. [1.1] GRANA-LOPEZ, L. – HERRANZ, M. – MACINEIRA, F.A. – VILLARES, A. – VAZQUEZ-CARUNCHO, M. Apparent diffusion coefficient: Potential biomarker for complete response after neo-adjuvant chemotherapy in breast cancer. In BREAST JOURNAL. ISSN 1075-122X, FEB 2020, vol. 26, no. 2, p. 306-308.

4. [1.1] HARADA, T.L. – UEMATSU, T. – NAKASHIMA, K. – SUGINO, T. – NISHIMURA, S. – TAKAHASHI, K. – HAYASHI, T. – TADOKORO, Y. – WATANABE, J. – NAKAMOTO, S. – ITO, T. Is the presence of edema and necrosis on T2WI pretreatment breast MRI the key to predict pCR of triple negative breast cancer?. In EUROPEAN RADIOLOGY. ISSN 0938-7994, JUN 2020, vol. 30, no. 6, p. 3363-3370.

5. [1.1] IIMA, M. – HONDA, M. – SIGMUND, E.E. – KISHIMOTO, A.O. – KATAOKA, M. – TOGASHI, K. Diffusion MRI of the breast: Current status and future directions. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, JUL 2020, vol. 52, no. 1, p. 70-90.

6. [1.1] SUROV, A. – WIENKE, A. – MEYER, H.J. Pretreatment apparent diffusion coefficient does not predict therapy response to neoadjuvant chemotherapy in breast cancer. In BREAST. ISSN 0960-9776, OCT 2020, vol. 53, p. 59-67.

7. [1.2] VAN GOETHEM, M. – CASTELLO, A. – LOBBES, M.B.I. – DE ROSE, F. – SCORSETTI, M. – LOPCI, E. Response assessment and follow-up by imaging in breast tumors. In MEDICAL RADIOLOGY. ISSN 0942-5373, 2020, p. 451-474.

8. [3.1] UDDARAJU, S. – NARASINGARAO, M.R. A review of machine learning frameworks for early and accurate prediction of neoadjuvant chemotherapy responses. In EUROPEAN JOURNAL OF MOLECULAR & CLINICAL MEDICINE. ISSN 2515-8260, 2020, vol. 7, no. 4, p. 1040-1050.

 

• 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. Dostupné na: https://doi.org/10.1016/j.jmr.2004.05.003

WOS citations: 7

1. [1.1] JERBAN, S. – CHANG, E.Y. – DU, J. Magnetic resonance imaging (MRI) studies of knee joint under mechanical loading: Review. In MAGNETIC RESONANCE IMAGING. ISSN 0730-725X, JAN 2020, vol. 65, p. 27-36.

2. [1.1] MENON, R.G. – OSWALD, S.F. – RAGHAVAN, P. – REGATTE, R.R. – STECCO, A. T-1 rho-Mapping for Musculoskeletal Pain Diagnosis: Case Series of Variation of Water Bound Glycosaminoglycans Quantification before and after Fascial Manipulation (R) in Subjects with Elbow Pain. In INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. FEB 1 2020, vol. 17, no. 3.

3. [1.1] PANG, Y. An order parameter without magic angle effect (OPTIMA) derived from R-1 rho dispersion in ordered tissue. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, 2020, vol. 83, no. 5, p. 1783-1795.

4. [1.1] WU, M. – MA, Y.J. – KASIBHATLA, A. – CHEN, M.X. – JANG, H. – JERBAN, S. – CHANG, E.Y. – DU, J. Convincing evidence for magic angle less-sensitive quantitative T-1 rho imaging of articular cartilage using the 3D ultrashort echo time cones adiabatic T-1 rho (3D UTE cones-AdiabT(1 rho)) sequence. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, NOV 2020, vol. 84, no. 5, p. 2551-2560.

5. [1.1] WU, M. – MA, Y.J. – WAN, L.D. – JERBAN, S. – JANG, H. – CHANG, E.Y. – DU, J. Magic angle effect on adiabatic T-1 rho imaging of the Achilles tendon using 3D ultrashort echo time cones trajectory. In NMR IN BIOMEDICINE. ISSN 0952-3480, AUG 2020, vol. 33, no. 8.

6. [1.1] WU, M. – ZHAO, W. – WAN, L. – KAKOS, L. – LI, L. – JERBAN, S. – JANG, H. – CHANG, E.Y. – DU, J. – MA, Y.-J. Quantitative three-dimensional ultrashort echo time cones imaging of the knee joint with motion correction. In NMR IN BIOMEDICINE. ISSN 0952-3480, 2020, vol. 33, no. 1.

7. [1.1] YANG, J.W. – SHAO, H.D. – MA, Y.J. – WAN, L.D. – ZHANG, Y.X. – JIANG, J.J. – DU, J. – TANG, G.Y. Quantitative ultrashort echo time magnetization transfer (UTE-MT) for diagnosis of early cartilage degeneration: comparison with UTE-T2* and T2 mapping. In QUANTITATIVE IMAGING IN MEDICINE AND SURGERY. ISSN 2223-4292, JAN 2020, vol. 10, no. 1, p. 171-183.

 

• 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, karentované – CCC). (2013 – Current Contents). ISSN 0967-3334. Dostupné na: https://doi.org/10.1088/0967-3334/34/12/1623

Other citations: 1

1. [3.1] SVORC, P. – PETRASOVA, D. – SVORC, P. Jr. Sex Differences in HRV Under General Anesthesia in Rat Model. In ANESTHESIA & PAIN RESEARCH. ISSN 2639-846X, 2020, vol. 4, no. 1.

 

• MURANO, E. – JELLÚŠ, Vladimír – PIRAS, A. – TOFFANIN, R. Cell wall polysaccharides from gelidium species : physico-chemical studies using MRI techniques. In Journal of Applied Phycology, 1998, vol. 10, no. 3, p. 315-322. Dostupné na: https://doi.org/10.1023/A:1008068732661

WOS citations: 1; other citations: 2

1. [1.1] GARCIA-JIMENEZ, P. – MANTESA, S.R. – ROBAINA, R.R. Expression of Genes Related to Carrageenan Synthesis during Carposporogenesis of the Red SeaweedGrateloupia imbricata. In MARINE DRUGS, 2020, vol. 18, no. 9.

2. [3.1] PEREIRA, L. Colloid Producing Seaweeds: Agarophytes, Carrageenophytes and Alginophytes Biodiversity. In ENCYCLOPEDIA OF MARINE BIOTECHNOLOGY. Wiley, 2020, ISBN 9781119143772.

3. [3.1] CHERKI, M. – TAOUAM , I. – AAMIR , A. – HMIMID, F. – AIT, B.S. – EL, A.A. – OULD, B.T. Study of the influence of the region, the depth and the drying process on the chemical composition of Gelidium corneum from Moroccan coast. In GSC BIOLOGICAL AND PHARMACEUTICAL SCIENCES. ISSN 2581-3250, vol. 11, no. 3, p. 177-184.

 

• 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, karentované – CCC). (2015 – Current Contents). ISSN 0938-7994. Dostupné na: https://doi.org/10.1007/s00330-014-3351-2

WOS citations: 3

1. [1.1] BENZAKOUN, J. – ROBERT, C. – LEGRAND, L. – PALLUD, J. – MEDER, J.F. – OPPENHEIM, C. – DHERMAIN, F. – EDJLALI, M. Anatomical and functional MR imaging to define tumoral boundaries and characterize lesions in neuro-oncology. In CANCER RADIOTHERAPIE. ISSN 1278-3218, 2020, vol. 24, no. 5, p. 453-462.

2. [1.1] GARCIA, G.C.T.E. – BOCKEL, S. – MAJER, M. – AMMARI, S. – SMITS, M. Imaging of Brain Metastases: Diagnosis and Monitoring. In CENTRAL NERVOUS SYSTEM METASTASES, 2020, p. 145-158.

3. [1.1] TREUTLEIN, C. – BAEUERLE, T. – NAGEL, A.M. – GUERMAZI, A. – KLEYER, A. – SIMON, D. – SCHETT, G. – HEPP, T. – UDER, M. – ROEMER, F.W. Comprehensive assessment of knee joint synovitis at 7T MRI using contrast-enhanced and non-enhanced sequences. In BMC MUSCULOSKELETAL DISORDERS, 2020, vol. 21, no. 1.

 

• 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, karentované – CCC). (2015 – Current Contents). ISSN 0938-7994. Dostupné na: https://doi.org/10.1007/s00330-014-3576-0

WOS citations: 9

1. [1.1] BIAN, Y. – JIN, P. – WANG, Y. – WEI, X. – QIANG, Y. – NIU, G. – JIN, G. – YANG, J. Clinical Applications of DSC-MRI Parameters Assess Angiogenesis and Differentiate Malignant From Benign Soft Tissue Tumors in Limbs. In ACADEMIC RADIOLOGY. ISSN 1076-6332, 2020, vol. 27, no. 3, p. 354-360.

2. [1.1] BIRGIN, E. – YANG, C. – HETJENS, S. – REISSFELDER, C. – HOHENBERGER, P. – RAHBARI, N.N. Core needle biopsy versus incisional biopsy for differentiation of soft-tissue sarcomas: A systematic review and meta-analysis. In CANCER. ISSN 0008-543X, JAN 1 2020, vol. 126, no. 9, p. 1917-1928.

3. [1.1] DALILI, D. – ISAAC, A. – RASHIDI, A. – ASTROM, G. – FRITZ, J. Image-guided Sports Medicine and Musculoskeletal Tumor Interventions: A Patient-Centered Model. In SEMINARS IN MUSCULOSKELETAL RADIOLOGY. ISSN 1089-7860, JUN 2020, vol. 24, no. 03, p. 290-309.

4. [1.1] KIM, J.H. – OH, E. – YOON, Y.C. – LEE, K. – LEE, S.S. – SONG, S.Y. – WANG, J.H. The relationship between graft synovialization and graft revascularization after ACL reconstruction: Assessment using dynamic contrast enhanced-MRI and second-look arthroscopy. In EUROPEAN JOURNAL OF RADIOLOGY. ISSN 0720-048X, DEC 2020, vol. 133.

5. [1.1] LEE, S.K. – JEE, W.H. – JUNG, C.K. – CHUNG, Y.G. Multiparametric quantitative analysis of tumor perfusion and diffusion with 3T MRI: differentiation between benign and malignant soft tissue tumors. In BRITISH JOURNAL OF RADIOLOGY. ISSN 0007-1285, 2020, vol. 93, no. 1115.

6. [1.1] LI, X.W. – WANG, Q.M. – DOU, Y.P. – ZHANG, Y. – TAO, J. – YANG, L. – WANG, S.W. Soft tissue sarcoma: can dynamic contrast-enhanced (DCE) MRI be used to predict the histological grade?. In SKELETAL RADIOLOGY. ISSN 0364-2348, NOV 2020, vol. 49, no. 11, p. 1829-1838.

7. [1.1] NIKODINOVSKA, V.V. – IVANOSKI, S. – SAMARDZISKI, M. – JANEVSKA, V. Percutaneous Imaging-Guided versus Open Musculoskeletal Biopsy: Concepts and Controversies. In SEMINARS IN MUSCULOSKELETAL RADIOLOGY. ISSN 1089-7860, DEC 2020, vol. 24, no. 06, p. 667-675.

8. [1.1] PAZOUREK, L. – ZAMBO, I.S. – TOMAS, T. – MAHDAL, M. Open Incisional Biopsy and Ultrasound-Guided Core Needle Biopsy of Extremity-Localized Musculoskeletal Tumors. In ACTA CHIRURGIAE ORTHOPAEDICAE ET TRAUMATOLOGIAE CECHOSLOVACA. ISSN 0001-5415, DEC 2020, vol. 87, no. 6, p. 421-428.

9. [1.1] ZHANG, Y. – YUE, B. – ZHAO, X.D. – CHEN, H.S. – SUN, L.L. – ZHANG, X.X. – HAO, D.P. Benign or Malignant Characterization of Soft-Tissue Tumors by Using Semiquantitative and Quantitative Parameters of Dynamic Contrast-Enhanced Magnetic Resonance Imaging. In CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES. ISSN 0846-5371, FEB 2020, vol. 71, no. 1, p. 92-99.

 

• 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, karentované – CCC). (2010 – Current Contents). ISSN 0020-9996. Dostupné na: https://doi.org/10.1097/RLI.0b013e3181ebd4e3

WOS citations: 3

1. [1.1] ANDERSON, V.C. – TAGGE, I.J. – LI, X. – QUINN, J.F. – KAYE, J.A. – BOURDETTE, D.N. – SPAIN, R.I. – RICCELLI, L.P. – SAMMI, M.K. – SPRINGER, C.S. – ROONEY, W.D. Observation of Reduced Homeostatic Metabolic Activity and/or Coupling in White Matter Aging. In JOURNAL OF NEUROIMAGING. ISSN 1051-2284, SEP 2020, vol. 30, no. 5, p. 658-665.

2. [1.1] TERESHENKO, V. – PASHKUNOVA-MARTIC, I. – MANZANO-SZALAI, K. – FRISKE, J. – BERGMEISTER, K.D. – FESTIN, C. – AMAN, M. – HRUBY, L.A. – KLEPETKO, J. – THEINER, S. – KLOSE, M.H.M. – KEPPLER, B. – HELBICH, T.H. – ASZMANN, O.C. MR Imaging of Peripheral Nerves Using Targeted Application of Contrast Agents: An Experimental Proof-of-Concept Study. In FRONTIERS IN MEDICINE. DEC 11 2020, vol. 7.

3. [1.1] TREUTLEIN, C. – BAUERLE, T. – NAGEL, A.M. – GUERMAZI, A. – KLEYER, A. – SIMON, D. – SCHETT, G. – HEPP, T. – UDER, M. – ROEMER, F.W. Comprehensive assessment of knee joint synovitis at 7T MRI using contrast-enhanced and non-enhanced sequences. In BMC MUSCULOSKELETAL DISORDERS. FEB 21 2020, vol. 21, no. 1.

 

• 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, karentované – CCC). (2012 – Current Contents). ISSN 0033-8419. Dostupné na: https://doi.org/10.1148/radiol.12111920

SCOPUS citations: 1

1. [1.2] ARINGHIERI, G. – ZAMPA, V. – TOSETTI, M. Musculoskeletal MRI at 7 T: do we need more or is it more than enough? In EUROPEAN RADIOLOGY EXPERIMENTAL. ISSN 2509-9280, 2020, vol. 4, no. 1.

 

• 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, karentované – CCC). (2019 – Current Contents). ISSN 0002-7820. Dostupné na: https://doi.org/10.1111/jace.16108

WOS citations: 2

1. [1.1] LUKIC, M.J. – GEBAUER, D. – ROSE, A. Nonclassical nucleation towards separation and recycling science: Iron and aluminium (Oxy)(hydr) oxides. In CURRENT OPINION IN COLLOID & INTERFACE SCIENCE. ISSN 1359-0294, APR 2020, vol. 46, p. 114-127.

2. [1.1] YANG, R. – QI, Z. – GAO, Y. – YANG, J.H. – ZHOU, Y.R. – LIU, H. – PENG, L.M. – JIAO, J. Effects of alumina sols on the sintering of alpha-alumina ceramics. In CERAMICS INTERNATIONAL. ISSN 0272-8842, SEP 2020, vol. 46, no. 13, p. 20865-20870.

 

• 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, p. 075307. (2017: 2.415 – IF, Q1 – JCR, 0.716 – SJR, Q2 – SJR, karentované – CCC). (2018 – Current Contents). ISSN 1054-1500. Dostupné na: https://doi.org/10.1063/1.5019944

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

1. [1.1] ALBERTI, T. – CONSOLINI, G. – CARBONE, V. The poor man’;s magnetohydrodynamic (PMMHD) equations. In 10TH YOUNG RESEARCHER MEETING. ISSN 1742-6588, 2020, vol. 1548.

2. [1.1] ALBERTI, T. – CONSOLINI, G. – DITLEVSEN, P.D. – DONNER, R.V. – QUATTROCIOCCHI, V. Multiscale measures of phase-space trajectories. In CHAOS. ISSN 1054-1500, DEC 2020, vol. 30, no. 12.

3. [1.1] BUESO, D. – PILES, M. – CAMPS-VALLS, G. Explicit Granger causality in kernel Hilbert spaces. In PHYSICAL REVIEW E. ISSN 2470-0045, DEC 2 2020, vol. 102, no. 6.

4. [1.1] GOODWELL, A.E. – JIANG, P.S. – RUDDELL, B.L. – KUMAR, P. Debates-Does Information Theory Provide a New Paradigm for Earth Science? Causality, Interaction, and Feedback. In WATER RESOURCES RESEARCH. ISSN 0043-1397, FEB 2020, vol. 56, no. 2.

5. [1.1] HUANG, Y. – FRANZKE, C.L.E. – YUAN, N.M. – FU, Z.T. Systematic identification of causal relations in high-dimensional chaotic systems: application to stratosphere-troposphere coupling. In CLIMATE DYNAMICS. ISSN 0930-7575, NOV 2020, vol. 55, no. 9-10, p. 2469-2481.

6. [1.1] HUANG, Y. – FU, Z. – FRANZKE, C.L.E. Detecting causality from time series in a machine learning framework. In CHAOS. ISSN 1054-1500, 2020, vol. 30, no. 6.

7. [1.1] IOANNIDIS, K. – ASKELUND, A.D. – KIEVIT, R.A. – VAN HARMELEN, A.L. The complex neurobiology of resilient functioning after childhood maltreatment. In BMC MEDICINE. ISSN 1741-7015, FEB 13 2020, vol. 18, no. 1.

8. [1.1] JIA, Z.Y. – LIN, Y.F. – LIU, Y.X. – JIAO, Z.H. – WANG, J. Refined nonuniform embedding for coupling detection in multivariate time series. In PHYSICAL REVIEW E. ISSN 2470-0045, JUN 5 2020, vol. 101, no. 6.

9. [1.1] LU, W.X. – DUAN, M.K. – WANG, G.L. Case studies on driving factor with different scales: a modified Lorenz system and 500-hPa geopotential height. In THEORETICAL AND APPLIED CLIMATOLOGY. ISSN 0177-798X, JUL 2020, vol. 141, no. 1-2, p. 455-463.

10. [1.1] SMIRNOV, D.A. Transfer entropies within dynamical effects framework. In PHYSICAL REVIEW E. ISSN 2470-0045, DEC 23 2020, vol. 102, no. 6.

11. [1.1] STUMPO, M. – CONSOLINI, G. – ALBERTI, T. – QUATTROCIOCCHI, V. Measuring Information Coupling between the Solar Wind and the Magnetosphere-Ionosphere System. In ENTROPY. MAR 2020, vol. 22, no. 3.

12. [1.1] STUMPO, M. – CONSOLINI, G. – ALBERTI, T. Causal inference in space weather by an information theory approach. In 10TH YOUNG RESEARCHER MEETING. ISSN 1742-6588, 2020, vol. 1548.

13. [1.2] SARSENBAYEVA, Z. – MARINI, G. – VAN BERKEL, N. – LUO, C. – JIANG, W. – YANG, K. – WADLEY, G. – DINGLER, T. – KOSTAKOS, V. – GONCALVES, J. Does Smartphone Use Drive our Emotions or vice versa? A Causal Analysis. In CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2020.

14. [3.1] ENGELBRECHT, J. On the Limits to Development in Technology & Knowledge. In ERUDITIO. ISSN 2227-9679, 2020, vol. 2, no. 6, p . 56-66.

15. [3.1] KOUTSOYIANNIS, D. – KUNDZEWICZ, Z.W. Atmospheric Temperature and CO2: Hen-Or-Egg Causality? In SCI. ISSN 2413-4155, 2020, vol. 2, no. 4, p. 83.

 

• 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, karentované – CCC). (2017 – Current Contents). ISSN 0169-1317. Dostupné na: https://doi.org/10.1016/j.clay.2017.03.012

WOS citations: 4; SCOPUS citations: 1

1. [1.1] PASHKEVICH, M.A. – ALEKSEENKO, A.V. Reutilization Prospects of Diamond Clay Tailings at the Lomonosov Mine, Northwestern Russia. In MINERALS. JUN 2020, vol. 10, no. 6.

2. [1.1] RECZEK, L. – MICHEL, M.M. – TRACH, Y. – SIWIEC, T. – TYTKOWSKA-OWERKO, M. The Kinetics of Manganese Sorption on Ukrainian Tuff and Basalt-Order and Diffusion Models Analysis. In MINERALS. DEC 2020, vol. 10, no. 12.

3. [1.1] SKVARLOVA, A. – KANUCHOVA, M. – KOZAKOVA, L. – BAKALAR, T. – ORAVCOVA, A. – SKVARLA, J. XPS (X-Ray Photoelectron Spectroscopy) Study of Removing Iron Ions from Water by Zeolite and Bentonite. In INZYNIERIA MINERALNA-JOURNAL OF THE POLISH MINERAL ENGINEERING SOCIETY. ISSN 1640-4920, JAN-JUN 2020, vol. 2, no. 1, p. 201-204.

4. [1.1] YANUSHEVSKA, O.I. – DONTSOVA, T.A. – ALEKSYK, A.I. – VLASENKO, N.V. – DIDENKO, O.Z. – NYPADYMKA, A.S. SURFACE AND STRUCTURAL PROPERTIES OF CLAY MATERIALS BASED ON NATURAL SAPONITE. In CLAYS AND CLAY MINERALS. ISSN 0009-8604, OCT 2020, vol. 68, no. 5, p. 465-475.

5. [1.2] DU, K. – LI, J. – WEI, X. – SONG, D. – CHEN, C. – WEI, Z. Removal of methylene blue from water by Fe-Mt three-dimensional particle electrode system. In CHINESE JOURNAL OF ENVIRONMENTAL ENGINEERING. ISSN 1673-9108, 2020, vol. 14, no. 12, p. 3417-3425.

 

• 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, karentované – CCC). (2015 – Current Contents). ISSN 0169-1317. Dostupné na: https://doi.org/10.1016/j.clay.2015.08.002

WOS citations: 1; SCOPUS citations: 1

1. [1.1] HU, C. – HU, H. – SONG, M. – TAN, J. – HUANG, G. – ZUO, J. Preparation, characterization, and Cd(II) sorption of/on cysteine-montmorillonite composites synthesized at various pH. In ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. ISSN 0944-1344, 2020, vol. 27, no. 10, p. 10599-10606.

2. [1.2] VILLACA, J.C. – DA SILVA, L.C.R.P. – LOCATELLI, F.R. – MEIRELES, P.W. – DO CARMO, F.A. – RODRIGUES, C.R. – TAVARES, M.I.B. – DE SOUSA, V.P. – CABRAL, L.M. Full-factorial design for statistical planning of attritor milling parameters and evaluation of effects on particle size and structure of sodium-montmorillonite. In ENGINEERING RESEARCH EXPRESS, 2020, vol. 2, no. 1.

 

• 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, karentované – CCC). (2008 – Current Contents). ISSN 0361-803X. Dostupné na: https://doi.org/10.2214/AJR.07.3930

SCOPUS citations: 1

1. [1.2] ŠPRLÁKOVÁ-PUKOVÁ, A. – ŠTOURAČOVÁ, A. – REPKO, M. – KORIŤÁKOVÁ, E. – TINTĚRA, J. – DOSTÁL, M. – OTAŠEVIČ, T. Prospective Multiparametric Magnetic Resonance Monitoring of Changes in Lesions of Hyaline Cartilage of the Knee Joint After Treatment by Microfractures and Implantation of Biological Collagen Type I Matrix Implants . In ACADEMIC RADIOLOGY. ISSN 1076-6332, 2020.

 

• PINKER, K. – GRABNER, G. – BOGNER, W. – GRUBER, S. – SZOMOLÁNYI, Pavol – TRATTNIG, S. – HEINZ-PEER, G. – WEBER, M. – FITZAL, F. – PLUSCHNIG, U. – RUDAS, M. – HELBICH, T. A combined high temporal and high spatial resolution 3 Tesla MR imaging protocol for the assessment of breast lesions: Initial results. In Investigative Radiology, 2009, vol. 44, no. 9, p. 553-558. (2008: 5.289 – IF, Q1 – JCR, 3.671 – SJR, Q1 – SJR, karentované – CCC). (2009 – Current Contents). ISSN 0020-9996.

WOS citations: 2

1. [1.1] JEONG, S. – HA, S.M. – AHN, H.S. – WOO, S. – SUNG, J.K. – SHIN, H.-C. A preliminary study of the combination of ultrafast and abbreviated dynamic contrast Enhanced breast magnetic resonance imaging. In MEDICINE. ISSN 0025-7974, 2020, vol. 99, no. 50.

2. [1.1] MATSUKUMA, M. – FURUKAWA, M. – YAMAMOTO, S. – NAKAMURA, K. – TANABE, M. – OKADA, M. – IIDA, E. – ITO, K. The kinetic analysis of breast cancer: An investigation of the optimal temporal resolution for dynamic contrast-enhanced MR imaging. In CLINICAL IMAGING. ISSN 0899-7071, 2020, vol. 61, p. 4-10.

 

• PITTSCHIELER, E. – SZOMOLÁNYI, Pavol – SCHMID-SCHWAP, M. – WEBER, M. – EGERBACHER, M. – TRAXLER, H. – TRATTNIG, S. Delayed gadolinium-enhanced MRI of the fibrocartilage disc of the temporomandibular joint – a feasibility study. In Magnetic Resonance Imaging, 2014, vol. 32, no. 10, p. 1223-1229. (2013: 2.022 – IF, Q2 – JCR, 0.966 – SJR, karentované – CCC). (2014 – Current Contents). ISSN 0730-725X. Dostupné na: https://doi.org/10.1016/j.mri.2014.08.008

WOS citations: 2

1. [1.1] KAUR, K. – ROYCHOUDHURY, A. – BHUTIA, O. – BHALLA, A.S. – YADAV, R. – PANDEY, R.M. Evaluation of Success of Transport Disc Distraction Osteogenesis and Costochondral Graft for Ramus Condyle Unit Reconstruction in Pediatric Temporomandibular Joint Ankylosis. In JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY. ISSN 0278-2391, JUN 2020, vol. 78, no. 6.

2. [1.1] XIONG, X. – YE, Z. – TANG, H.H. – WEI, Y. – NIE, L.S. – WEI, X.C. – LIU, Y. – SONG, B. MRI of Temporomandibular Joint Disorders: Recent Advances and Future Directions. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, 2020.

 

• PRNOVÁ, A. – BODIŠOVÁ, K. – KLEMENT, R. – MIGÁT, M. – VETEŠKA, P. – ŠKRÁTEK, Martin – BRUNEEL, E. – VAN DRIESSCHE, I. – GALUSEK, Dušan. Preparation and characterization of Yb₂O₃-Al₂O₃ glasses by the Pechini sol-gel method combined with flame synthesis. In Ceramics International, 2014, vol. 40, no. 4, p. 6179-6184. (2013: 2.086 – IF, Q1 – JCR, 0.812 – SJR, karentované – CCC). (2014 – Current Contents). ISSN 0272-8842. Dostupné na: https://doi.org/10.1016/j.ceramint.2013.11.071

WOS citations: 1

1. [1.1] ZHANG, Y. – MA, X. – LI, X. – LI, J. – LI, J. – HE, G. Synthesis of Amorphous BaO-TiO2 and La2O3-Nb2O5 Glass Microspheres Using Containerless Flame-Spraying Technique and Their Properties. In RARE METAL MATERIALS AND ENGINEERING. ISSN 1002-185X, 2020, vol. 49, no. 2, p. 482-486.

 

• PŘIBIL, Jiří – PŘIBILOVÁ, A. GMM-based evaluation of emotional style transformation in Czech and Slovak. In Cognitive Computation, 2014, vol. 6, no. 4, p. 928-939. (2013: 1.100 – IF, Q3 – JCR, 0.518 – SJR, karentované – CCC). (2014 – Current Contents). ISSN 1866-9956. Dostupné na: https://doi.org/10.1007/s12559-014-9283-y

WOS citations: 2

1. [1.1] VEKKOT, S. – GUPTA, D. – ZAKARIAH, M. – ALOTAIBI, Y.A. Emotional Voice Conversion Using a Hybrid Framework With Speaker-Adaptive DNN and Particle-Swarm-Optimized Neural Network. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 74627-74647.

2. [1.1] VEKKOT, S. – GUPTA, D. Speaker-independent expressive voice synthesis using learning-based hybrid network model. In INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY. ISSN 1381-2416, 2020, vol. 23, no. 3, p. 597-613.

 

• PULMANNOVÁ, Sylvia. Relative compatibility and joint distributions of observables. In Foundations of Physics, 1980, vol. 10, p. 641-653. ISSN 0015-9018. Dostupné na: https://doi.org/10.1007/BF00715045

WOS citations: 1

1. [1.1] NANASIOVA, O. – PYKACZ, J. – VALASKOVA, L. – CIPKOVA, K. On Extension of Joint Distribution Functions on Quantum Logics. In INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS. ISSN 0020-7748, 2020, vol. 59, no. 1, p. 274-291.

 

• 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, karentované – CCC). (2017 – Current Contents). ISSN 0740-3194. Dostupné na: https://doi.org/10.1002/mrm.26635

WOS citations: 2

1. [1.1] RIVERA, D. – KALLEVEEN, I. – DE CASTRO, C.A. – VAN LAARHOVEN, H. – KLOM, D. – VAN DER KEMP, W. – STOKER, J. – NEDERVEEN, A. Inherently decoupled H-1 antennas and P-31 loops for metabolic imaging of liver metastasis at 7 T. In NMR IN BIOMEDICINE. ISSN 0952-3480, APR 2020, vol. 33, no. 4.

2. [1.1] ROAT, S. – VIT, M. – WAMPL, S. – SCHMID, A.I. – LAISTLER, E. A Flexible Array for Cardiac P-31 MR Spectroscopy at 7 T. In FRONTIERS IN PHYSICS. ISSN 2296-424X, APR 15 2020, vol. 8.

 

• 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). ISSN 0141-3910. Dostupné na: https://doi.org/10.1016/j.polymdegradstab.2009.05.003

WOS citations: 2

1. [1.1] JOVANOVIC, I.N. – MILICEVIC, A. – JADRESKO, D. – HRANJEC, M. Electrochemical oxidation of synthetic amino-substituted benzamides with potential antioxidant activity. In JOURNAL OF ELECTROANALYTICAL CHEMISTRY. ISSN 1572-6657, 2020, vol. 870.

2. [1.1] WANG, S. – WU, C. – YU, H. – LI, T. – YAN, X. – YAN, B. – YIN, H. Fabrication of Ir-CoOx@mesoporous SiO2 Nanoreactors for Selective Hydrogenation of Substituted Nitroaromatics. In ACS APPLIED MATERIALS & INTERFACES. ISSN 1944-8244, 2020, vol. 12, no. 8, p. 9966-9976.

 

• 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, karentované – CCC). (2019 – Current Contents). ISSN 0020-9996. Dostupné na: https://doi.org/10.1097/RLI.0000000000000527

WOS citations: 1

1. [1.1] HAJIAHMADI, S. – SHAYGANFAR, A.- ASKARI, M. – EBRAHIMIAN, S. Interobserver and intraobserver variability in magnetic resonance imaging evaluation of patients with suspected disc herniation. In HELIYON. ISSN 2405-8440, 2020, vol. 6, no. 11.

 

• 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, karentované – CCC). (2013 – Current Contents). ISSN 0301-0511. Dostupné na: https://doi.org/10.1016/j.biopsycho.2013.05.014

WOS citations: 5

1. [1.1] CELKA, P. – GRANQVIST, N. – SCHWABL, H. – EDWARDS, S.D. Development and evaluation of a cardiac coherence index for sleep analysis. In JOURNAL OF PSYCHOLOGY IN AFRICA. ISSN 1433-0237, 2020, vol. 30, no. 1, p. 44-52.

2. [1.1] DOUDOU, M. – BOUABDALLAH, A. – BERGE-CHERFAOUI, V. Driver Drowsiness Measurement Technologies: Current Research, Market Solutions, and Challenges. In INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH. ISSN 1348-8503, 2020, vol. 18, no. 2, p. 297-319.

3. [1.1] HERMANS, L.W.A. – REGIS, M. – FONSECA, P. – OVEREEM, S. – LEUFKENS, T.R.M. – VERMEEREN, A. – VAN GILST, M.M. Assessing sleep-wake survival dynamics in relation to sleep quality in a placebo-controlled pharmacological intervention study with people with insomnia and healthy controls. In PSYCHOPHARMACOLOGY. ISSN 0033-3158, 2020.

4. [1.1] JAHRAMI, H. – BAHAMMAM, A.S. – ALGAHTANI, H. – EBRAHIM, A. – FARIS, M. – ALEID, K. – SAIF, Z. – HAJI, E. – DHAHI, A. – MARZOOQ, H. – HUBAIL, S. – HASAN, Z. The examination of sleep quality for frontline healthcare workers during the outbreak of COVID-19. In SLEEP AND BREATHING. ISSN 1520-9512, 2020.

5. [1.1] MALLOGGI, S. – CONTE, F. – GRONCHI, G. – FICCA, G. – GIGANTI, F. Prevalence and Determinants of Bad Sleep Perception among Italian Children and Adolescents. In INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, vol. 17, no. 24.

 

• ROSIPAL, Roman – PORUBCOVÁ, N. – BARANČOK, P. – CIMROVÁ, B. – FARKAŠ, I. – TREJO, L.J. Effects of mirror-box therapy on modulation of sensorimotor EEG oscillatory rhythms: A single-case longitudinal study. In Journal of Neurophysiology, 2019, vol. 121, no. 2, p. 620-633. (2018: 2.614 – IF, Q2 – JCR, 1.690 – SJR, Q1 – SJR, karentované – CCC). (2019 – Current Contents). ISSN 0022-3077. Dostupné na: https://doi.org/10.1152/jn.00599.2018

SCOPUS citations: 2

1. [1.2] NURSALAM, Nursalam – KURNIA, Iqlima Dwi – ARIDAMAYANTI, Bernadetta Germia. Mirror therapy using cylindrical grip muscle strength and extremity range of motion. In INTERNATIONAL JOURNAL OF INNOVATION, CREATIVITY AND CHANGE. ISSN 2201-1315, 2020, vol. 13, no. 6, pp. 263-275.

2. [1.2] RAHIM, A. M.Ab – MANSOR, W. – MORAWAKAGE, D. Perera – KAMARU ZAMAN, F. H. – JAAFAR, N. – CHE DAUD, A. Z. – AHMAD ROSLAN, N. F. Spectral Analysis of EEG Signals obtained during Mirror Therapy and Imagined Hand Movements. In IEEE SYMPOSIUM ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, ISIEA 2020, 2020.

 

• 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: 54; SCOPUS citations: 9; other citations: 5

1. [1.1] AMINU, M. – AHMAD, N.A. New Variants of Global-Local Partial Least Squares Discriminant Analysis for Appearance-Based Face Recognition. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 166703-166720.

2. [1.1] AYANLEYE, S. – NASIR, V. – AVRAMIDIS, S. – COOL, J. Effect of wood surface roughness on prediction of structural timber properties by infrared spectroscopy using ANFIS, ANN and PLS regression. In EUROPEAN JOURNAL OF WOOD AND WOOD PRODUCTS. ISSN 0018-3768, 2020.

3. [1.1] BAO, Y. – LIU, J.L. – ZHONG, Y.M. – CHEN, Y.M. – ZHAI, D.Q. – WANG, Q. – BRENNAN, C.S. – LIU, H.F. Kernel partial least squares model for pectin content in peach using near-infrared spectroscopy. In INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY. ISSN 0950-5423, 2020.

4. [1.1] BEAVER, C. – COLLINS, T.S. – HARBERTSON, J. Model Optimization for the Prediction of Red Wine Phenolic Compounds Using Ultraviolet-Visible Spectra. In MOLECULES. APR 2020, vol. 25, no. 7.

5. [1.1] BYADI, S. – EDDINE, H.M. – SADIK, K. – PODLIPNIK, C. – ABOULMOUHAJIR, A. Fingerprint-based 2D-QSAR Models for Predicting Bcl-2 Inhibitors Affinity. In LETTERS IN DRUG DESIGN & DISCOVERY. ISSN 1570-1808, 2020, vol. 17, no. 10, p. 1206-1215.

6. [1.1] CHEN, J.Y. – ZHENG, H.B. – XIONG, H. – SHEN, S.J. – SU, M.M. MAG-GAN: Massive attack generator via GAN. In INFORMATION SCIENCES. ISSN 0020-0255, OCT 2020, vol. 536, p. 67-90.

7. [1.1] CHOU, J.S. – TRUONG, D.N. – CHE, Y.N. Optimized multi-output machine learning system for engineering informatics in assessing natural hazards. In NATURAL HAZARDS. ISSN 0921-030X, APR 2020, vol. 101, no. 3, p. 727-754.

8. [1.1] DENG, X.G. – CHEN, Y.X. – WANG, P. – CAO, Y.P. Soft Sensor Modeling for Unobserved Multimode Nonlinear Processes Based on Modified Kernel Partial Least Squares With Latent Factor Clustering. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 35864-35872.

9. [1.1] DHIBI, K. – FEZAI, R. – MANSOURI, M. – TRABELSI, M. – KOUADRI, A. – BOUZARA, K. – NOUNOU, H. – NOUNOU, M. Reduced Kernel Random Forest Technique for Fault Detection and Classification in Grid-Tied PV Systems. In IEEE JOURNAL OF PHOTOVOLTAICS. ISSN 2156-3381, NOV 2020, vol. 10, no. 6, p. 1864-1871.

10. [1.1] DONG, Z. – LI, L. – YAN, L.Q. – SUN, M. – LI, J.S. A Dynamic Model Incorporated with Delay Estimation and Variable Selection for Control of SCR De-NOx Process. In CATALYSTS. NOV 2020, vol. 10, no. 11.

11. [1.1] DU, A. – PADGETT, J.E. Investigation of multivariate seismic surrogate demand modeling for multi-response structural systems. In ENGINEERING STRUCTURES. ISSN 0141-0296, MAR 15 2020, vol. 207.

12. [1.1] DU, A. – PADGETT, J.E. Toward confident regional seismic risk assessment of spatially distributed structural portfolios via entropy-based intensity measure selection. In BULLETIN OF EARTHQUAKE ENGINEERING. ISSN 1570-761X, NOV 2020, vol. 18, no. 14, p. 6283-6311.

13. [1.1] FATEMI, M. – DALIRI, M.R. Nonlinear sparse partial least squares: an investigation of the effect of nonlinearity and sparsity on the decoding of intracranial data. In JOURNAL OF NEURAL ENGINEERING. ISSN 1741-2560, FEB 2020, vol. 17, no. 1.

14. [1.1] FEZAI, R. – ABODAYEH, K. – MANSOURI, M. – KOUADRI, A. – HARKAT, M.F. – NOUNOU, H. – NOUNOU, M. – MESSAOUD, H. Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 78343-78353.

15. [1.1] GUO, W. – PAN, T.H. – LI, Z.M. – LI, G.Q. A review on data-driven approaches for industrial process modelling. In INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL. ISSN 1746-6172, 2020, vol. 34, no. 2, p. 75-89.

16. [1.1] HE, Q.E. – TONG, Y.F. – YE, Z. – GAO, L.X. – ZHANG, Y.Z. – WANG, L. – SONG, K. A multiple genomic data fused SF2 prediction model, signature identification, and gene regulatory network inference for personalized radiotherapy. In TECHNOLOGY IN CANCER RESEARCH & TREATMENT. ISSN 1533-0346, APR 23 2020, vol. 19.

17. [1.1] JOHNSON, J.E. – LAPARRA, V. – PEREZ-SUAY, A. – MAHECHA, M.D. – CAMPS-VALLS, G. Kernel methods and their derivatives: Concept and perspectives for the earth system sciences. In PLOS ONE. ISSN 1932-6203, 2020, vol. 15, no. 10.

18. [1.1] LI, Z. – GUO, F. – CHEN, L. – HAO, K. – HUANG, B. Hybrid kernel approach to Gaussian process modeling with colored noises. In COMPUTERS & CHEMICAL ENGINEERING. ISSN 0098-1354, 2020, vol. 143.

19. [1.1] LIU, C. – KONG, Z. – BABU, S. – JOSLIN, C. – FERGUSON, J. An integrated manifold learning approach for high-dimensional data feature extractions and its applications to online process monitoring of additive manufacturing. In IISE TRANSACTIONS. ISSN 2472-5854, 2020.

20. [1.1] LIU, H.B. – YANG, C. – HUANG, M.Z. – YOO, C. Soft sensor modeling of industrial process data using kernel latent variables-based relevance vector machine. In APPLIED SOFT COMPUTING. ISSN 1568-4946, MAY 2020, vol. 90.

21. [1.1] LIU, X.L. – ZHOU, S.S. Approximate kernel partial least squares. In ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE. ISSN 1012-2443, SEP 2020, vol. 88, no. 9, p. 973-986.

22. [1.1] MA, D. – MAKI, H. – NEENO, S. – ZHANG, L. – WANG, L. – JIN, J. Application of non-linear partial least squares analysis on prediction of biomass of maize plants using hyperspectral images. In BIOSYSTEMS ENGINEERING. ISSN 1537-5110, 2020, vol. 200, p. 40-54.

23. [1.1] MELLO-ROMAN, J.D. – HERNANDEZ, A. KPLS Optimization With Nature-Inspired Metaheuristic Algorithms. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 157482-157492.

24. [1.1] MELLO-ROMAN, J.D. – HERNANDEZ, A. KPLS optimization approach using genetic algorithms. In 11TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 3RD INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPS. ISSN 1877-0509, 2020, vol. 170, p. 1153-1160.

25. [1.1] PANDA, N. – OSTHUS, D. – SRINIVASAN, G. – O’;MALLEY, D. – CHAU, V. – OYEN, D. – GODINEZ, H. Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling. In JOURNAL OF COMPUTATIONAL PHYSICS. ISSN 0021-9991, NOV 1 2020, vol. 420.

26. [1.1] QIN, S.J. – DONG, Y. – ZHU, Q. – WANG, J. – LIU, Q. Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring. In ANNUAL REVIEWS IN CONTROL. ISSN 1367-5788, 2020, vol. 50, p. 29-48.

27. [1.1] SAID, M. – BEN ABDELLAFOU, K. – TAOUALI, O. Machine learning technique for data-driven fault detection of nonlinear processes. In JOURNAL OF INTELLIGENT MANUFACTURING. ISSN 0956-5515, APR 2020, vol. 31, no. 4, p. 865-884.

28. [1.1] SESSA, M. – KHAN, A.R. – LIANG, D. – ANDERSEN, M. – KULAHCI, M. Artificial Intelligence in Pharmacoepidemiology: A Systematic Review. Part 1-Overview of Knowledge Discovery Techniques in Artificial Intelligence. In FRONTIERS IN PHARMACOLOGY. ISSN 1663-9812, JUL 16 2020, vol. 11.

29. [1.1] SILALAHI, D.D. – MIDI, H. – ARASAN, J. – MUSTAFA, M.S. – CALIMAN, J.-P. Automated Fitting Process Using Robust Reliable Weighted Average on Near Infrared Spectral Data Analysis. In SYMMETRY-BASEL, 2020, vol. 12, no. 12.

30. [1.1] SILALAHI, D.D. – MIDI, H. – ARASAN, J. – MUSTAFA, M.S. – CALIMAN, J.P. Kernel partial diagnostic robust potential to handle high-dimensional and irregular data space on near infrared spectral data. In HELIYON. ISSN 2405-8440, JAN 2020, vol. 6, no. 1.

31. [1.1] STOCCHERO, M. Exploring the latent variable space of PLS2 by post-transformation of the score matrix (ptLV). In JOURNAL OF CHEMOMETRICS. ISSN 0886-9383, JAN 2020, vol. 34, no. 1.

32. [1.1] SUN, C. – MA, H. A Study of Complex Industrial Systems Based on Revised Kernel Principal Component Regression Method. In IFAC PAPERSONLINE. ISSN 2405-8963, 2020, vol. 53, no. 2, p. 133-138.

33. [1.1] TALUKDAR, U. – HAZARIKA, S.M. – GAN, J.Q. Adaptation of Common Spatial Patterns based on mental fatigue for motor-imagery BCI. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, APR 2020, vol. 58.

34. [1.1] TALUKDAR, U. – HAZARIKA, S.M. – GAN, J.Q. Adaptive feature extraction in EEG-based motor imagery BCI: tracking mental fatigue. In JOURNAL OF NEURAL ENGINEERING. ISSN 1741-2560, FEB 2020, vol. 17, no. 1.

35. [1.1] TOROSSIAN, L. – PICHENY, V. – FAIVRE, R. – GARIVIER, A. A review on quantile regression for stochastic computer experiments. In RELIABILITY ENGINEERING & SYSTEM SAFETY. ISSN 0951-8320, SEP 2020, vol. 201.

36. [1.1] WANG, J. – CHEN, X.L. – NAN, Y.H. – ZHOU, J.L. – XUE, T.L. Narrow Operating Space Based on the Inversion of Latent Structures Model for Glycosylation Process. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 190504-190515.

37. [1.1] WEI, C.H. – SONG, Z.H. Generalized Semisupervised Self-Optimizing Kernel Model for Quality-Related Industrial Process Monitoring. In IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS. ISSN 0278-0046, DEC 2020, vol. 67, no. 12, p. 10876-10886.

38. [1.1] WU, H. – ZHAO, J.S. Fault detection and diagnosis based on transfer learning for multimode chemical processes. In COMPUTERS & CHEMICAL ENGINEERING. ISSN 0098-1354, APR 6 2020, vol. 135.

39. [1.1] WU, H. – ZHAO, J.S. Self-adaptive deep learning for multimode process monitoring. In COMPUTERS & CHEMICAL ENGINEERING. ISSN 0098-1354, OCT 4 2020, vol. 141.

40. [1.1] YAN, L.Q. – DONG, Z. – JIA, H. – HUANG, J.N. – MENG, L. Dynamic inferential NOx emission prediction model with delay estimation for SCR de-NOx process in coal-fired power plants. In ROYAL SOCIETY OPEN SCIENCE. ISSN 2054-5703, FEB 5 2020, vol. 7, no. 2.

41. [1.1] YAN, X.F. – WANG, J. – JIANG, Q.C. Deep relevant representation learning for soft sensing. In INFORMATION SCIENCES. ISSN 0020-0255, APR 2020, vol. 514, p. 263-274.

42. [1.1] YANG, H.T. – CAO, H.Y. – HE, T. – WANG, T. – CUI, Y.H. Multilevel heterogeneous omics data integration with kernel fusion. In BRIEFINGS IN BIOINFORMATICS. ISSN 1467-5463, JAN 2020, vol. 21, no. 1, p. 156-170.

43. [1.1] YUAN, X. – GU, Y. – WANG, Y. – CHEN, Z. – SUN, B. – YANG, C. FeO Content Prediction for an Industrial Sintering Process based on Supervised Deep Belief Network. In IFAC PAPERSONLINE. ISSN 2405-8963, 2020, vol. 53, no. 2, p. 11883-11888.

44. [1.1] YUAN, X.F. – GU, Y.J. – WANG, Y.L. – YANG, C.H. – GUI, W.H. A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes. In IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. ISSN 2162-237X, NOV 2020, vol. 31, no. 11, p. 4737-4746.

45. [1.1] YUAN, X.F. – OU, C. – WANG, Y.L. – YANG, C.H. – GUI, W.H. Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE. In NEUROCOMPUTING. ISSN 0925-2312, JUL 5 2020, vol. 396, p. 375-382.

46. [1.1] YUAN, X.F. – QI, S.B. – SHARDT, Y.A.W. – WANG, Y.L. – YANG, C.H. – GUI, W.H. Soft sensor model for dynamic processes based on multichannel convolutional neural network. In CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. ISSN 0169-7439, AUG 15 2020, vol. 203.

47. [1.1] YUAN, X.F. – QI, S.B. – WANG, Y.L. Stacked Enhanced Auto-Encoder for Data-Driven Soft Sensing of Quality Variable. In IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. ISSN 0018-9456, OCT 2020, vol. 69, no. 10, p. 7953-7961.

48. [1.1] ZHANG, Y. – BEUDAERT, X. – ARGANDONA, J. – RATCHEV, S. – MUNOA, J. A CPPS based on GBDT for predicting failure events in milling. In INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY. ISSN 0268-3768, NOV 2020, vol. 111, no. 1-2, p. 341-357.

49. [1.1] ZHAO, G.D. – WU, Y. An efficient kernel-based feature extraction using a pull-push method. In APPLIED SOFT COMPUTING. ISSN 1568-4946, NOV 2020, vol. 96.

50. [1.1] ZHAO, J. – CAO, Y. – ZHANG, L. Exploring the computational methods for protein-ligand binding site prediction. In COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL. ISSN 2001-0370, 2020, vol. 18, p. 417-426.

51. [1.1] ZHAO, X. – JIANG, Y. – LUO, H. – YIN, S. A Novel Multivariate Statistical Analysis Aided Deep Learning Approach for Nonlinear System Process Monitoring with Comparison Studies. In IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY. ISSN 1553-572X, 2020, p. 2600-2605.

52. [1.1] ZHOU, P. – ZHANG, R.Y. – LIANG, M.Y. – FU, J. – WANG, H. – CHAI, T.Y. Fault identification for quality monitoring of molten iron in blast furnace ironmaking based on KPLS with improved contribution rate. In CONTROL ENGINEERING PRACTICE. ISSN 0967-0661, APR 2020, vol. 97.

53. [1.1] ZHU, J.Z. – SHI, H.B. – SONG, B. – TAO, Y. – TAN, S. Information concentrated variational auto-encoder for quality-related nonlinear process monitoring. In JOURNAL OF PROCESS CONTROL. ISSN 0959-1524, OCT 2020, vol. 94, p. 12-25.

54. [1.1] ZHU, X.F. – ZHU, X.Y. – SU, J. – WU, C. Determination of nitrate in seawater based on deep ultraviolet spectroscopy and optimized algorithm. In SECOND TARGET RECOGNITION AND ARTIFICIAL INTELLIGENCE SUMMIT FORUM. ISSN 0277-786X, 2020, vol. 11427.

55. [1.2] CARTOCCI, N. – COSTANTE, G. – NAPOLITANO, M. R. – VALIGI, P. – CROCETTI, F. – FRAVOLINI, M. L. PCA methods and evidence based filtering for robust aircraft sensor fault diagnosis. In 28TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION, MED 2020, art. no. 9182973, pp. 550-555.

56. [1.2] CHAABANE, M. – HAMIDA, A.B. – MANSOURI, M. – NOUNOU, H. – NOUNOU, M. Enhanced data-driven Damage Detection for Structural Health Monitoring Systems. In INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING, ATSIP 2020, 2020, art. no. 9231646.

57. [1.2] FENG, L.W. – LI, Y. – ZHANG, C. – XIE, Y.H. Time-space neighborhood standardization-local outlier factor based fault detection for complex process. In KONGZHI LILUN YU YINGYONG/CONTROL THEORY AND APPLICATIONS, 2020, vol. 37, no. 3, pp. 651-657.

58. [1.2] JIAO, J. – ZHEN, W. – WANG, G. – WANG, Y. KPLS–KSER based approach for quality-related monitoring of nonlinear process. In ISA TRANSACTIONS, 2020.

59. [1.2] KHAN, J.S. – SHARMA, A.K. – HAZARIKA, S.M. Estimating Corticomuscular Coherence using Kernel Partial Least Square. In INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING AND APPLICATIONS, IC3A 2020, 2020, art. no. 9076993, pp. 304-309.

60. [1.2] PEIFER, M. – RIBEIRO, A. Federated Classification with Low Complexity Reproducing Kernel Hilbert Space Representations. In ICASSP, IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, 2020, art. no. 9053733, pp. 4187-4191.

61. [1.2] TAOUALI, O. A Novel Kernel method for Dynamic Process Identification. In PROCEEDINGS STA 2020: 2020 20TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING, 2020, p. 183-188.

62. [1.2] ZHANG, X.D. A matrix algebra approach to artificial intelligence. Springer, 2020, ISBN 978-981-15-2769-2.

63. [1.2] ZHU, W. – XU, Y. – ZHEN, W. – BAI, K. – WANG, G. Fault diagnosis method based on TKPCR and its application in superheated steam system. In PROCEEDINGS 2020 CHINESE AUTOMATION CONGRESS, CAC 2020, 2020, p. 1772-1777.

64. [3.1] HU, L. – ZHANG, W. Robust Locality-Aware Regression for Labeled Data Classification. In arXiv:2006.08292 [cs.LG], 2020.

65. [3.1] LI, J. – LI, X. Model identification of continuous stirred tank reactor based on QKLMS algorithm. In JOURNAL OF MEASUREMENT SCIENCE AND INSTRUMENTATION. ISSN 1674-8042, 2020, vol. 11, no. 4, p. 382-387.

66. [3.1] PEIFER, M. – RIBEIRO, A. Federated Classification using Parsimonious Functions in Reproducing Kernel Hilbert Spaces. In arXiv:2009.03768 [eess.SP], 2020.

67. [3.1] TANG, J. – YU, W. Industrial Process Modelling with Mechanical Frequency Spectrum Data. Cambridge Scholars Publishing, 2020, ISBN 978-1-5275-4866-4.

68. [3.1] TIWARI, P. – DEHDASHTI, S. – OBEID, A.K. – MELUCCI, M. – BRUZA, P. Kernel Method based on Non-Linear Coherent State. In arXiv:2007.07887 [quant-ph], 2020.

 

• 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, karentované – CCC). (2007 – Current Contents). ISSN 0023-5954.

WOS citations: 1

1. [1.1] NISHINO, T. – MURAKAMI, H. The generalized multisample Cucconi test statistic for the location and scale parameters. In JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION. ISSN 0094-9655, 2020, vol. 90, no. 12, p. 2291-2305.

 

• 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, karentované – CCC). (2016 – Current Contents). ISSN 0023-5954. Dostupné na: https://doi.org/10.14736/kyb-2016-2-0280

Other citations: 1

1. [3.1] PERREAULT, S. – NESLEHOVA, J. – DUCHESNE, T. Hypothesis tests for structured rank correlation matrices. In arXiv:2007.09738 [stat.ME], 2020.

 

• RUBLÍK, František. The multisample version of the Lepage test. In Kybernetika, 2005, vol. 41, no. 6, p. 713-733. (2004: 0.224 – IF, karentované – CCC). (2005 – Current Contents). ISSN 0023-5954.

WOS citations: 2; other citations: 1

1. [1.1] LI, C.L. – MUKHERJEE, A. – MAROZZI, M. A new distribution-free Phase-I procedure for bi-aspect monitoring based on the multi-sample Cucconi statistic. In COMPUTERS & INDUSTRIAL ENGINEERING. ISSN 0360-8352, NOV 2020, vol. 149.

2. [1.1] PARK, H.I. Simultaneous multivariate tests under the normality assumption. In COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION. ISSN 0361-0918, JUL 2 2020, vol. 49, no. 7, p. 1886-1897.

3. [3.1] KOUTRAS, M.V. – TRIANTAFYLLOU, I.S. Recent Advances on Univariate Distribution-Free Shewhart-Type Control Charts. In DISTRIBUTION-FREE METHODS FOR STATISTICAL PROCESS MONITORING AND CONTROL. Springer, 2020, ISBN 978-3-030-25080-5.

 

• SENAJ, Viliam – GUILLOT, G. – DARRASSE, L. Inductive measurement of magnetic field gradients for magnetic resonance imaging. In Review of Scientific Instruments, 1998, vol. 69, no. 6, p. 2400-2405. (1997: 1.155 – IF, karentované – CCC). (1998 – Current Contents, SCOPUS). ISSN 0034-6748.

WOS citations: 1

1. [1.1] WILM, B.J. – DIETRICH, B.E. – REBER, J. – VANNESJO, S.J. – PRUESSMANN, K.R. Gradient Response Harvesting for Continuous System Characterization During MR Sequences. In IEEE TRANSACTIONS ON MEDICAL IMAGING. ISSN 0278-0062, 2020, vol. 39, no. 3, p. 806-815.

 

• 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, karentované – CCC). (2017 – Current Contents). ISSN 0925-8388. Dostupné na: https://doi.org/10.1016/j.jallcom.2016.11.097

WOS citations: 2; SCOPUS citations: 1

1. [1.1] BALAMURUGAN, S. – BRIGHTLIN, B.C. – JAINSHAA, J. Physical Properties of BaFe12O19 Materials Obtained Under Different pH Using Hexamine as Novel Fuel by Auto Combustion Followed by Annealing Route. In JOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY. ISSN 1533-4880, JAN 2020, vol. 20, no. 1, p. 87-95.

2. [1.1] CHOI, H.S. – PARK, J.W. – LEE, K.S. – KIM, S.W. – SUH, S.J. Thermal Conductivity and Electromagnetic Interference (EMI) Absorbing Properties of Composite Sheets Composed of Dry Processed Core-Shell Structured Fillers and Silicone Polymers. In POLYMERS. OCT 2020, vol. 12, no. 10.

3. [1.2] LIU, W. Nitrogen-doped CuAlO2 Films Prepared by Chemical Solution Deposition. In JOURNAL OF PHYSICS: CONFERENCE SERIES. ISSN 1742-6588, 2020, vol. 1637, no. 1.

 

• 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, karentované – CCC). (2016 – Current Contents). ISSN 0740-3194. Dostupné na: https://doi.org/10.1002/mrm.25822

WOS citations: 4

1. [1.1] CHEN, L. – SCHAR, M. – CHAN, K.W.Y. – HUANG, J.P. – WEI, Z.L. – LU, H.Z. – QIN, Q. – WEISS, R.G. – VAN ZIJL, P.C.M. – XU, J.D. In vivo imaging of phosphocreatine with artificial neural networks. In NATURE COMMUNICATIONS. ISSN 2041-1723, FEB 26 2020, vol. 11, no. 1.

2. [1.1] CLIFFORD, B. – GU, Y.N. – LIU, Y.C. – KIM, K. – HUANG, S. – LI, Y.D. – LAM, F. – LIANG, Z.P. – YU, X. High-Resolution Dynamic P-31-MR Spectroscopic Imaging for Mapping Mitochondrial Function. In IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. ISSN 0018-9294, OCT 2020, vol. 67, no. 10, p. 2745-2753.

3. [1.1] KRAMER, C.M. Magnetic Resonance Measures of Calf Muscle Physiology in PAD. In IMAGING IN PERIPHERAL ARTERIAL DISEASE: CLINICAL AND RESEARCH APPLICATIONS. 2020, p. 165-174.

4. [1.1] SANTOS-DIAZ, A. – NOSEWORTHY, M.D. Phosphorus magnetic resonance spectroscopy and imaging (P-31-MRS/MRSI) as a window to brain and muscle metabolism: A review of the methods. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, JUL 2020, vol. 60.

 

• 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, karentované – CCC). (2014 – Current Contents). ISSN 1432-6981. Dostupné na: https://doi.org/10.1007/s00784-013-1154-5

WOS citations: 1

1. [1.1] XIONG, X. – YE, Z. – TANG, H. – WEI, Y. – NIE, L. – WEI, X. – LIU, Y. – SONG, B. MRI of Temporomandibular Joint Disorders: Recent Advances and Future Directions. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, 2020.

 

• 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, karentované – CCC). (2015 – Current Contents). ISSN 0021-9290. Dostupné na: https://doi.org/10.1016/j.jbiomech.2015.06.016

WOS citations: 1

1. [1.1] DESROCHERS, J. – YUNG, A. – STOCKTON, D. – WILSON, D. Depth-dependent changes in cartilage T2 under compressive strain: a 7T MRI study on human knee cartilage. In OSTEOARTHRITIS AND CARTILAGE. ISSN 1063-4584, 2020, vol. 28, no. 9, p. 1276-1285.

 

• 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, karentované – CCC). (2012 – Current Contents). ISSN 0022-3077. Dostupné na: https://doi.org/10.1152/jn.00186.2012

WOS citations: 5

1. [1.1] BASSEZ, I. – RICCI, K. – VECCHIO, E. – DELUSSI, M. – GENTILE, E. – MARINAZZO, D. – DE TOMMASO, M. The effect of painful laser stimuli on EEG gamma-band activity in migraine patients and healthy controls. In CLINICAL NEUROPHYSIOLOGY. ISSN 1388-2457, AUG 2020, vol. 131, no. 8, p. 1755-1766.

2. [1.1] BLACK, C.J. Intracortical Localization of a Promising Pain Biomarker. In JOURNAL OF NEUROSCIENCE. ISSN 0270-6474, DEC 9 2020, vol. 40, no. 50, p. 9549-9551.

3. [1.1] KIM, J.A. – DAVIS, K.D. Neural Oscillations: Understanding a Neural Code of Pain. In NEUROSCIENTIST. ISSN 1073-8584, 2020.

4. [1.1] YUE, L.P. – IANNETTI, G.D. – HU, L. The Neural Origin of Nociceptive-Induced Gamma-Band Oscillations. In JOURNAL OF NEUROSCIENCE. ISSN 0270-6474, APR 22 2020, vol. 40, no. 17, p. 3478-3490.

5. [1.1] ZHOU, S. – LITHFOUS, S. – DESPRES, O. – PEBAYLE, T. – BI, X.Y. – DUFOUR, A. Involvement of Frontal Functions in Pain Tolerance in Aging: Evidence From Neuropsychological Assessments and Gamma-Band Oscillations. In FRONTIERS IN AGING NEUROSCIENCE. ISSN 1663-4365, MAY 27 2020, vol. 12.

 

• 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, karentované – CCC). (2015 – Current Contents). ISSN 1047-3211. Dostupné na: https://doi.org/10.1093/cercor/bhv043

WOS citations: 21; other citations: 8

1. [1.1] BARONI, A. – SEVERINI, G. – STRAUDI, S. – BUJA, S. – BORSATO, S. – BASAGLIA, N. Hyperalgesia and Central Sensitization in Subjects With Chronic Orofacial Pain: Analysis of Pain Thresholds and EEG Biomarkers. In FRONTIERS IN NEUROSCIENCE. NOV 12 2020, vol. 14.

2. [1.1] BISMUTH, J. – VIALATTE, F. – LEFAUCHEUR, J.P. Relieving peripheral neuropathic pain by increasing the power-ratio of low-beta over high-beta activities in the central cortical region with EEG-based neurofeedback: Study protocol for a controlled pilot trial (SMRPain study). In NEUROPHYSIOLOGIE CLINIQUE-CLINICAL NEUROPHYSIOLOGY. ISSN 0987-7053, FEB 2020, vol. 50, no. 1, p. 5-20.

3. [1.1] CASTON, R.M. – SMITH, E.H. – DAVIS, T.S. – ROLSTON, J.D. The Cerebral Localization of Pain: Anatomical and Functional Considerations for Targeted Electrical Therapies. In JOURNAL OF CLINICAL MEDICINE. JUN 2020, vol. 9, no. 6.

4. [1.1] GUO, Y.F. – BUFACCHI, R.J. – NOVEMBRE, G. – KILINTARI, M. – MOAYEDI, M. – HU, L. – IANNETTI, G.D. Ultralow-frequency neural entrainment to pain. In PLOS BIOLOGY. ISSN 1544-9173, APR 2020, vol. 18, no. 4.

5. [1.1] HEID, C. – MOURAUX, A. – TREEDE, R.D. – SCHUH-HOFER, S. – RUPP, A. – BAUMGARTNER, U. Early gamma-oscillations as correlate of localized nociceptive processing in primary sensorimotor cortex. In JOURNAL OF NEUROPHYSIOLOGY. ISSN 0022-3077, MAY 2020, vol. 123, no. 5, p. 1711-1726.

6. [1.1] KIM, J.A. – BOSMA, R.L. – HEMINGTON, K.S. – ROGACHOV, A. – OSBORNE, N.R. – CHENG, J.C. – OH, J. – DUNKLEY, B.T. – DAVIS, K.D. Cross-network coupling of neural oscillations in the dynamic pain connectome reflects chronic neuropathic pain in multiple sclerosis. In NEUROIMAGE-CLINICAL. ISSN 2213-1582, 2020, vol. 26.

7. [1.1] KIM, J.A. – DAVIS, K.D. Neural Oscillations: Understanding a Neural Code of Pain. In NEUROSCIENTIST. ISSN 1073-8584.

8. [1.1] KISLER, L.B. – KIM, J.A. – HEMINGTON, K.S. – ROGACHOV, A. – CHENG, J.C. – BOSMA, R.L. – OSBORNE, N.R. – DUNKLEY, B.T. – INMAN, R.D. – DAVIS, K.D. Abnormal alpha band power in the dynamic pain connectome is a marker of chronic pain with a neuropathic component. In NEUROIMAGE-CLINICAL. ISSN 2213-1582, 2020, vol. 26.

9. [1.1] KUMMER, K.K. – MITRIC, M. – KALPACHIDOU, T. – KRESS, M. The Medial Prefrontal Cortex as a Central Hub for Mental Comorbidities Associated with Chronic Pain. In INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. MAY 2020, vol. 21, no. 10.

10. [1.1] LI, Z.J. – ZHANG, L.B. – ZHANG, H.J. – YUE, L.P. – HU, L. Pain-related gamma band oscillations: Progress and prospect. In CHINESE SCIENCE BULLETIN-CHINESE. ISSN 0023-074X, 2020, vol. 65, no. 25, p. 2752-2762.

11. [1.1] MILNER, R. – LEWANDOWSKA, M. – GANC, M. – NIKADON, J. – NIEDZIALEK, I. – JEDRZEJCZAK, W.W. – SKARZYNSKI, H. Electrophysiological correlates of focused attention on low- and high-distressed tinnitus. In PLOS ONE. ISSN 1932-6203, AUG 5 2020, vol. 15, no. 8.

12. [1.1] MOON, D.I. – PLECKAITYTE, G. – CHOI, T. – SEOL, M.L. – KIM, B. – LEE, D. – HAN, J.W. – MEYYAPPAN, M. On-Demand Printing of Wearable Thermotherapy Pad. In ADVANCED HEALTHCARE MATERIALS. ISSN 2192-2640, FEB 2020, vol. 9, no. 4.

13. [1.1] MULDERS, D. – DE BODT, C. – LEJEUNE, N. – COURTIN, A. – LIBERATI, G. – VERLEYSEN, M. – MOURAUX, A. Dynamics of the perception and EEG signals triggered by tonic warm and cool stimulation. In PLOS ONE. ISSN 1932-6203, APR 23 2020, vol. 15, no. 4.

14. [1.1] PARKER, T. – HUANG, Y.Z. – RAGHU, A.L.B. – FITZGERALD, J.J. – GREEN, A.L. – AZIZ, T.Z. Dorsal Root Ganglion Stimulation Modulates Cortical Gamma Activity in the Cognitive Dimension of Chronic Pain. In BRAIN SCIENCES. FEB 2020, vol. 10, no. 2.

15. [1.1] PONSEL, S. – ZHANG, J.J. – PILZ, M. – YANOVSKY, Y. – BRANKACK, J. – DRAGUHN, A. Alterations of distributed neuronal network oscillations during acute pain in freely-moving mice. In IBRO REPORTS. ISSN 2451-8301, DEC 2020, vol. 9, p. 195-206.

16. [1.1] REE, A. – NILSEN, K.B. – KNARDAHL, S. – SAND, T. – MATRE, D. Sleep restriction does not potentiate nocebo-induced changes in pain and cortical potentials. In EUROPEAN JOURNAL OF PAIN. ISSN 1090-3801, 2020, vol. 24, no. 1, p. 110-121.

17. [1.1] STOMP, M. – D’;INGEO, S. – HENRY, S. – LESIMPLE, C. – COUSILLAS, H. – HAUSBERGER, M. EEG individual power profiles correlate with tension along spine in horses. In PLOS ONE. ISSN 1932-6203, DEC 14 2020, vol. 15, no. 12.

18. [1.1] TOTTRUP, L. – ATASHZAR, S.F. – FARINA, D. – KAMAVUAKO, E.N. – JENSEN, W. Nerve Injury Decreases Hyperacute Resting-State Connectivity Between the Anterior Cingulate and Primary Somatosensory Cortex in Anesthetized Rats. In IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING. ISSN 1534-4320, DEC 2020, vol. 28, no. 12, p. 2691-2698.

19. [1.1] WANG, W.E. – HO, R.L.M. – RIBEIRO-DASILVA, M.C. – FILLINGIM, R.B. – COOMBES, S.A. Chronic jaw pain attenuates neural oscillations during motor-evoked pain. In BRAIN RESEARCH. ISSN 0006-8993, DEC 1 2020, vol. 1748.

20. [1.1] YUE, L.P. – IANNETTI, G.D. – HU, L. The Neural Origin of Nociceptive-Induced Gamma-Band Oscillations. In JOURNAL OF NEUROSCIENCE. ISSN 0270-6474, APR 22 2020, vol. 40, no. 17, p. 3478-3490.

21. [1.1] ZHOU, S. – LITHFOUS, S. – DESPRES, O. – PEBAYLE, T. – BI, X.Y. – DUFOUR, A. Involvement of Frontal Functions in Pain Tolerance in Aging: Evidence From Neuropsychological Assessments and Gamma-Band Oscillations. In FRONTIERS IN AGING NEUROSCIENCE. ISSN 1663-4365, MAY 27 2020, vol. 12.

22. [3.1] ANNONI, E.M. – CLARK, B.A. – THAKUR, P.H. – SRIVASTAVA, K.H. Pain management based on respiration-mediated heart rates. United States Patent US10631776B2, 2020.

23. [3.1] ANNONI, E.M. – CLARK, B.A. – THAKUR, P.H. – GU, J. – KLEINEDLER, J.J. – SRIVASTAVA, K.H. – TERNES, D.J. – PERSCHBACHER, D.L. – ESTELLER, R. Method and apparatus for pain management using objective pain measure. United States Patent US10750994B2, 2020.

24. [3.1] ANNONI, E.M. – GU, J. – THAKUR, P.H. – CLARK, B.A. – SRIVASTAVA, K.H. Pain management based on muscle tension measurements. United States Patent US10729905B2, 2020.

25. [3.1] ANNONI, E.M. – GU, J. – ESTELLER, R. – CLARK, B.A. – THAKUR, P.H. – SRIVASTAVA, K.H. Pain management based on brain activity monitoring. United States Patent US10675469B2, 2020.

26. [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. United States Patent US10667747B2, 2020.

27. [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. United States Patent US10631777B2, 2020.

28. [3.1] MOFFITT, M.A. – BRILL, N.A. – GU, J. – ORDONEZ, J.G.H. – ZHU, C. – BOKIL, H. – CARCIERI, S. Machine learning to optimize spinal cord stimulation. United States Patent US10842997B2, 2020.

29. [3.1] THAKUR, P.H. – GU, J. – CLARK, B.A. – TERNES, D.J. – PERSCHBACHER, D.L. – KLEINEDLER, J.J. – ANNONI, E.M. Systems and methods for closed-loop pain management. United States Patent US10610688B2, 2020.

 

• 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, karentované – CCC). (2001 – Current Contents). ISSN 0195-6108.

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

1. [1.1] BASIRJAFARI, S. – POUREISA, M. – SHAHHOSEINI, B. – ZAREI, M. – NESHIN, S.A.S. – ARIA, S.A. – NOURI-VASKEH, M. Apparent diffusion coefficient values and non-homogeneity of diffusion in brain tumors in diffusion-weighted MRI. In ACTA RADIOLOGICA. ISSN 0284-1851, 2020, vol. 61, no. 2, p. 244-252.

2. [1.1] SUN, P. – MA, L. – YE, B. – PEI, Y. Application of diffusion-weighted imaging combined with apparent diffusion coefficient in differential diagnosis between central neurocytoma and ependymoma. In NEURORADIOLOGY. ISSN 0028-3940, 2020, vol. 62, no. 4, p. 439-445.

3. [1.1] TATEISHI, M. – NAKAURA, T. – KITAJIMA, M. – UETANI, H. – NAKAGAWA, M. – INOUE, T. – KURODA, J. – MUKASA, A. – YAMASHITA, Y. An initial experience of machine learning based on multi-sequence texture parameters in magnetic resonance imaging to differentiate glioblastoma from brain metastases. In JOURNAL OF THE NEUROLOGICAL SCIENCES. ISSN 0022-510X, 2020, vol. 410.

4. [1.2] PHUTTHARAK, W. – THAMMAROJ, J. – WARA-ASAWAPATI, S. – PANPENG, K. Grading Gliomas Capability: Comparison between Visual Assessment and Apparent Diffusion Coefficient (ADC) Value Measurement on Diffusion-Weighted Imaging (DWI). In ASIAN PACIFIC JOURNAL OF CANCER PREVENTION. ISSN 1513-7368, 2020, vol. 21, no. 2, p. 385-390.

5. [3.1] LI, H. – LIANG, Z. – ZHANG, C. – LIU, R. – LI, J. – ZHANG, W. – LIANG, D. – SHEN, B. -ZHANG, X. – GE, Y. – ZHANG, J. – YING, L. SuperDTI: Ultrafast diffusion tensor imaging and fiber tractography with deep learning. In arXiv:2002.01031 [eess.IV], 2020.

 

• 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, karentované – CCC). (2017 – Current Contents, WOS, SCOPUS). ISSN 0022-3727. Dostupné na: https://doi.org/10.1088/1361-6463/aa8020

WOS citations: 1

1. [1.1] TANG, Y. – JIN, T. – FLESCH, R.C.C. – GAO, Y. Improvement of solenoid magnetic field and its influence on therapeutic effect during magnetic hyperthermia. In JOURNAL OF PHYSICS D-APPLIED PHYSICS. ISSN 0022-3727, 2020, vol. 53, no. 30.

 

• 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, karentované – CCC). (2015 – Current Contents). ISSN 0263-2241. Dostupné na: https://doi.org/10.1016/j.measurement.2015.03.036

WOS citations: 1

1. [1.1] YANG, J. – TANG, Y. – WU, W. – PATHAN, S.-K. The use of magnetic resonance imaging using compression sensor measurement in the diagnosis of spondylitis due to brucellosis and the study of distinguishing spinal tuberculosis. In MEASUREMENT. ISSN 0263-2241, 2020, vol. 159.

 

• 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, karentované – CCC). (2017 – Current Contents). ISSN 0263-2241. Dostupné na: https://doi.org/10.1016/j.measurement.2017.03.042

SCOPUS citations: 2

1. [1.2] JAFARIAN, M. – LOTFI, F. – MAJDOLHOSSEINI, M. – ARSHI, A.R. Comparison of 2D and 3D Gait Kinematics in Gender Classification Using Principal Component Analysis and Convolutional Neural Networks. In 27TH NATIONAL AND 5TH INTERNATIONAL IRANIAN CONFERENCE OF BIOMEDICAL ENGINEERING, ICBME 2020, 2020, p. 131-137.

2. [1.2] SETIAWAN, A.W. – ANANDA, A.R. Development of Wireless Gait Recognition System using IMU Sensors. In MHS 2019 30TH 2019 INTERNATIONAL SYMPOSIUM ON MICRO-NANOMECHATRONICS AND HUMAN SCIENCE, 2019.

 

• ŠUJAN, Štefan. Epsilon-rates, epsilon-quantiles, and group coding theorems for finitely additive information-sources. In Kybernetika, 1980, vol. 16, no. 2, p. 105-119. ISSN 0023-5954.

WOS citations: 1

1. [1.1] AUSTIN, T. An asymptotic equipartition property for measures on model spaces . In TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY. ISSN 0002-9947, 2019, vol. 371, no. 2, p. 1379-1402.

 

• ŠUJAN, Štefan. Generators for amenable group-actions. In Monatshefte für Mathematik, 1983, vol. 95, no. 1, p. 67-79. ISSN 0026-9255. Dostupné na: https://doi.org/10.1007/BF01301149

WOS citations: 1; other citations: 1

1. [1.1] SEWARD, B. Krieger’s finite generator theorem for actions of countable groups I. In INVENTIONES MATHEMATICAE. ISSN 0020-9910, 2019, vol. 215, no. 1, p. 265-310.

2. [3.1] DOWNAROWICZ, T. – ZHANG, G. The Symbolic Extension Theory in Topological Dynamics. In arXiv:2009.13223 [math.DS], 2020.

 

• 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, karentované – CCC). (2019 – Current Contents). ISSN 0020-9996. Dostupné na: https://doi.org/10.1097/RLI.0000000000000577

WOS citations: 5; other citations: 1

1. [1.1] ARAI, A.E. – SCHULZ-MENGER, J. – BERMAN, D. – MAHRHOLDT, H. – HAN, Y.C. – BANDETTINI, W.P. – GUTBERLET, M. – ABRAHAM, A. – WOODARD, P.K. – SELVANAYAGAM, J.B. – MCCANN, G.P. – HAMILTON-CRAIG, C. – SCHOEPF, U.J. – TAN, R.S. – KRAMER, C.M. – FRIEDRICH, M.G. – HAVERSTOCK, D. – LIU, Z. – BRUEGGENWERTH, G. – BACHER-STIER, C. – SANTIUSTE, M. – PENNELL, D.J. Gadobutrol-Enhanced Cardiac Magnetic Resonance Imaging for Detection of Coronary Artery Disease. In JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY. ISSN 0735-1097, SEP 29 2020, vol. 76, no. 13, p. 1536-1547.

2. [1.1] DE BOER, A. – HARTEVELD, A.A. – PIETERS, T.T. – BLANKESTIJN, P.J. – BOS, C. – FROELING, M. – JOLES, J.A. – VERHAAR, M.C. – LEINER, T. – HOOGDUIN, H. Decreased native renal T-1 up to one week after gadobutrol administration in healthy volunteers. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, AUG 2020, vol. 52, no. 2, p. 622-631.

3. [1.1] KAPRE, R. – ZHOU, J.H. – LI, Z. – BECKETT, L. – LOUIE, A.Y. A novel gamma GLM approach to MRI relaxometry comparisons. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, SEP 2020, vol. 84, no. 3, p. 1592-1604.

4. [1.1] LANCELOT, E. – RAYNAUD, J.S. – DESCHE, P. Current and Future MR Contrast Agents Seeking a Better Chemical Stability and Relaxivity for Optimal Safety and Efficacy. In INVESTIGATIVE RADIOLOGY. ISSN 0020-9996, SEP 2020, vol. 55, no. 9, p. 578-588.

5. [1.1] RICHARD, G. – NOLL, C. – ARCHAMBAULT, M. – LEBEL, R. – TREMBLAY, L. – AIT-MOHAND, S. – GUERIN, B. – BLONDIN, D.P. – CARPENTIER, A.C. – LEPAGE, M. Contribution of perfusion to the(11)C-acetate signal in brown adipose tissue assessed by DCE-MRI and(68)Ga-DOTA PET in a rat model. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, 2020.

6. [3.1] SUN, Q. – PRATO, F.S. – GOLDHAWK, D.E. Optimizing Reporter Gene Expression for Molecular Magnetic Resonance Imaging. In BIOIMAGING. CRC Press, 2020, ISBN 9780429260971.

 

• 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, karentované – CCC). (2015 – Current Contents). ISSN 0094-2405. Dostupné na: https://doi.org/10.1118/1.4914448

WOS citations: 1

1. [1.1] SANTOS-DIAZ, A. – NOSEWORTHY, M.D. Phosphorus magnetic resonance spectroscopy and imaging (P-31-MRS/MRSI) as a window to brain and muscle metabolism: A review of the methods. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, 2020, vol. 60.

 

• ŠKOVIERA, R. – BAJLA, Ivan – ŠKOVIEROVÁ, J. Object recognition in clutter color images using Hierarchical Temporal Memory combined with salient-region detection. In Neurocomputing, 2018, vol. 307, p. 172-183. (2017: 3.241 – IF, Q1 – JCR, 1.073 – SJR, Q1 – SJR, karentované – CCC). (2018 – Current Contents). ISSN 0925-2312. Dostupné na: https://doi.org/10.1016/j.neucom.2018.04.030

WOS citations: 2; SCOPUS citations: 1

1. [1.1] WANG, C. – ZHANG, X. – ZANG, X. – LIU, Y. – DING, G. – YIN, W. – ZHAO, J. Feature Sensing and Robotic Grasping of Objects with Uncertain Information: A Review. In SENSORS, 2020, vol. 20, no. 13.

2. [1.1] MENG, S. Noise elimination and contour detection based on innovative target image contour coding algorithm. In SHOCK AND VIBRATION. ISSN 1070-9622, 2020, vol. 2020.

3. [1.2] WEI, T. – ZHAO, X. – PEI, L. – LI, L. A co-saliency object detection model for video sequences. In INTERNATIONAL JOURNAL OF PERFORMABILITY ENGINEERING. ISSN 0973-1318, 2020, vol. 16, no. 11, p. 1793-1802.

 

• ŠKRÁTEK, Martin – CIGÁŇ, Alexander – DVUREČENSKIJ, Andrej – MAJEROVÁ, Melinda – BYSTRICKÝ, Roman – BILLIK, Peter – MAŇKA, Ján. Effects of Ru addition on the superconducting properties of the Eu-123 system. In Acta Physica Polonica A, 2015, vol. 127, no. 2, p. 225-227. (2014: 0.530 – IF, Q4 – JCR, 0.268 – SJR, Q3 – SJR, karentované – CCC). (2015 – Current Contents, WOS, SCOPUS). ISSN 1898-794X. Dostupné na: https://doi.org/10.12693/APhysPolA.127.225

WOS citations: 1

1. [1.1] NUR-AMELIA, A. – ABD-SHUKOR, R. Effect of Ru Substitution on the Superconducting Properties of GdBa2(Cu3-xRux)O7-delta(x=0 to 0.2). In JOURNAL OF LOW TEMPERATURE PHYSICS. ISSN 0022-2291, 2020, vol. 201, no. 3-4, p. 397-405.

 

• 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. Dostupné na: https://doi.org/10.1109/2945.879785

WOS citations: 1; other citations: 1

1. [1.1] DEAKIN, L. – KNACKSTEDT, M. Accelerated Volume Rendering with Chebyshev Distance Maps. In SA’;19: SIGGRAPH ASIA 2019 TECHNICAL BRIEFS, 2019, p. 25-28.

2. [3.1] BAC, D.T. – TRINH, H.M. – THAO, T.T. – PHUONG, D.T. Particle and volumetric applying simulation of 3D cloud. In TNU JOURNAL OF SCIENCE AND TECHNOLOGY. ISSN 1859-2171, 2020, vol. 225, no. 14.

 

• 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, karentované – CCC). (1999 – Current Contents). ISSN 1077-2626. Dostupné na: https://doi.org/10.1109/2945.795216

WOS citations: 1

1. [1.1] OGAYAR-ANGUITA, C.J. – RUEDA-RUIZ, A.J. – SEGURA-SANCHEZ, R.J. – DIAZ-MEDINA, M. – GARCIA-FERNANDEZ, A.L. A GPU-Based Framework for Generating Implicit Datasets of Voxelized Polygonal Models for the Training of 3D Convolutional Neural Networks. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 12675-12687.

 

• 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, karentované – CCC). (2014 – Current Contents). ISSN 1017-9909. Dostupné na: https://doi.org/10.1117/1.JEI.23.5.053020

WOS citations: 1

1. [1.1] WU, Y. – CHENG, X. – XIE, Y. – WANG, A. Defocusing Response Function Optimization in Depth Estimation of Boundary Complex Light Field Image. In LASER & OPTOELECTRONICS PROGRESS. ISSN 1006-4125, 2020, vol. 57, no. 18.

 

• 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, karentované – CCC). (2018 – Current Contents). ISSN 0022-0736. Dostupné na: https://doi.org/10.1016/j.jelectrocard.2018.02.013

WOS citations: 1

1. [1.1] PEREIRA, H. – NIEDERER, S. – RINALDI, C.A. Electrocardiographic imaging for cardiac arrhythmias and resynchronization therapy. In EUROPACE. ISSN 1099-5129, 2020, vol. 22, no. 10, p. 1447-1462.

 

• ŠVEHLÍKOVÁ, Jana – TEPLAN, Michal – TYŠLER, Milan. Noninvasive identification of two lesions with local repolarization changes using two dipoles in inverse solution simulation study. In Computers in Biology and Medicine, 2015, vol. 57, p. 96-102. (2014: 1.240 – IF, Q3 – JCR, 0.457 – SJR, Q2 – SJR, karentované – CCC). (2015 – Current Contents). ISSN 0010-4825. Dostupné na: https://doi.org/10.1016/j.compbiomed.2014.11.020

WOS citations: 1

1. [1.1] MU, L. – LIU, H. Noninvasive electrocardiographic imaging with low-rank and non-local total variation regularization. In PATTERN RECOGNITION LETTERS. ISSN 0167-8655, 2020, vol. 138, p. 106-114.

 

• TEPLAN, Michal – BAJLA, Ivan – ROSIPAL, Roman – RUSNAK, M. Feature clustering of intracranial pressure time series for alarm function estimation in traumatic brain injury. In Physiological Measurement, 2017, vol. 38, no. 11, p. 2015–2043. (2016: 2.058 – IF, Q2 – JCR, 0.689 – SJR, Q2 – SJR, karentované – CCC). (2017 – Current Contents). ISSN 0967-3334. Dostupné na: https://doi.org/10.1088/1361-6579/aa8a51

WOS citations: 1

1. [1.1] DAI, H. – JIA, X. – PAHREN, L. – LEE, J. – FOREMAN, B. Intracranial Pressure Monitoring Signals After Traumatic Brain Injury: A Narrative Overview and Conceptual Data Science Framework. In FRONTIERS IN NEUROLOGY. ISSN 1664-2295, 2020, vol. 11.

 

• 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, karentované – CCC). (2006 – Current Contents). ISSN 0167-8760. Dostupné na: https://doi.org/10.1016/j.ijpsycho.2005.02.005

WOS citations: 3; SCOPUS citations: 1

1. [1.1] CAO, Z. – DING, W. – WANG, Y.-K. – HUSSAIN, F.K. – AL-JUMAILY, A. – LIN, C.-T. Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy. In NEUROCOMPUTING. ISSN 0925-2312, 2020, vol. 389, p. 198-206.

2. [1.1] CAO, Z. – LIN, C.-T. – LAI, K.-L. – KO, L.-W. – KING, J.-T. – LIAO, K.-K. – FUH, J.-L. – WANG, S.-J. Extraction of SSVEPs-Based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients. In IEEE TRANSACTIONS ON FUZZY SYSTEMS. ISSN 1063-6706, 2020, vol. 28, no. 1, p. 14-27.

3. [1.1] CARR, P. The value of visioning: Augmenting EMDR with alpha-band alternating bilateral photic stimulation for trauma treatment in schizophrenia. In MEDICAL HYPOTHESES. ISSN 0306-9877, 2020, vol. 144.

4. [1.2] BROWARSKA, N. – KAWALA-STERNIUK, A. – ZYGARLICKI, J. Initial study on changes in activity of brain waves during audio stimulation using noninvasive brain-computer interfaces: Choosing the appropriate filtering method. In BIO-ALGORITHMS AND MED-SYSTEMS. ISSN 1895-9091, 2020.

 

• 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, karentované – CCC). (2011 – Current Contents). ISSN 0169-2607. Dostupné na: https://doi.org/10.1016/j.cmpb.2010.11.013

SCOPUS citations: 1

1. [1.2] IRSYAD, M. – WIDIYANTI, P. – RAHMATILLAH, A. Audio-visual stimulation for improving sleep quality. In AIP CONFERENCE PROCEEDINGS. ISSN 0094-243X, 2020, vol. 2314.

 

• TIŇO, P. – FARKAŠ, Igor – VAN MOURIK, J.M. Dynamics and topographic organization of recursive self-organizing maps. In Neural Computation, 2006, vol. 18, p. 2529-2567. (2005: 2.591 – IF, Q1 – JCR, 1.809 – SJR, Q1 – SJR, karentované – CCC). (2006 – Current Contents). ISSN 0899-7667.

SCOPUS citations: 1

1. [1.2] FIX, J. – FREZZA-BUET, H. Look and Feel What and How Recurrent Self-Organizing Maps Learn. In ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING. ISSN 2194-5357, 2020, vol. 976, p. 3-12.

 

• TOFFANIN, R. – MLYNÁRIK, V. – RUSSO, S. – SZOMOLÁNYI, Pavol – PIRAS, A. – VITTUR, F. Proteoglycan depletion and magnetic resonance parameters of articular cartilage. In Archives of Biochemistry and Biophysics, 2001, vol. 390, no. 2, p. 235-242. (2000: 2.576 – IF, karentované – CCC). (2001 – Current Contents). ISSN 0003-9861. Dostupné na: https://doi.org/10.1006/abbi.2001.2338

WOS citations: 1

1. [1.1] PEIXOTO-SANTOS, J.E. – VELASCO, T.R. – CARLOTTI, C.G. – ASSIRATI, J.A. – REZENDE, G.H.D.E. – KOBOW, K. – CORAS, R. – BLUMCKE, I. – SALMON, C.E.G. – DOS SANTOS, A.C. – LEITE, J.P. Histological correlates of hippocampal magnetization transfer images in drug-resistant temporal lobe epilepsy patients. In NEUROIMAGE-CLINICAL. ISSN 2213-1582, 2020, vol. 28.

 

• 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, karentované – CCC). (2018 – Current Contents). ISSN 1664-1078. Dostupné na: https://doi.org/10.3389/fpsyg.2018.00699

WOS citations: 11; SCOPUS citations: 2; other citations: 5

1. [1.1] BRANDWAYN, N. – RESTREPO, D. – MARTINEZ-MARTINEZ, A.M. – ACEVEDO-TRIANA, C. Effect of fine and gross motor training or motor imagery, delivered via novel or routine modes, on cognitive function. In APPLIED NEUROPSYCHOLOGY-ADULT. ISSN 2327-9095, SEP 2 2020, vol. 27, no. 5, p. 450-467.

2. [1.1] COUSINEAU, D. How many decimals? Rounding descriptive and inferential statistics based on measurement precision. In JOURNAL OF MATHEMATICAL PSYCHOLOGY. ISSN 0022-2496, AUG 2020, vol. 97.

3. [1.1] CUMMINS, K.M. – MARKS, C. Farewell to Bright-Line: A Guide to Reporting Quantitative Results Without the S-Word. In FRONTIERS IN PSYCHOLOGY. ISSN 1664-1078, MAY 13 2020, vol. 11.

4. [1.1] DESQUILBET, L. Enhancing Clinical Decision-Making Challenges of making decisions on the basis of significant statistical associations. In JAVMA-JOURNAL OF THE AMERICAN VETERINARY MEDICAL ASSOCIATION. ISSN 0003-1488, JAN 15 2020, vol. 256, no. 2, p. 187-193.

5. [1.1] FRIAS-NAVARRO, D. – PASCUAL-LLOBELL, J. – PASCUAL-SOLER, M. – PEREZGONZALEZ, J. – BERRIOS-RIQUELME, J. Replication crisis or an opportunity to improve scientific production?. In EUROPEAN JOURNAL OF EDUCATION. ISSN 0141-8211, DEC 2020, vol. 55, no. 4, SI, p. 618-631.

6. [1.1] HIRSCHAUER, N. – GRUNER, S. – MUSSHOFF, O. – BECKER, C. – JANTSCH, A. Can p-values be meaningfully interpreted without random sampling?. In STATISTICS SURVEYS. ISSN 1935-7516, 2020, vol. 14, p. 71-91.

7. [1.1] HIRSCHAUER, N. – GRUNER, S. – MUSSHOFF, O. – BECKER, C. Inference in economic experiments. In ECONOMICS-THE OPEN ACCESS OPEN-ASSESSMENT E-JOURNAL. ISSN 1864-6042, FEB 18 2020, vol. 14.

8. [1.1] ILIOPOULOU, T. – KOUTSOYIANNIS, D. Projecting the future of rainfall extremes: Better classic than trendy. In JOURNAL OF HYDROLOGY. ISSN 0022-1694, SEP 2020, vol. 588.

9. [1.1] MALONE, H.E. – COYNE, I. Complementing the P-value from null-hypothesis significance testing with a Bayes factor from null-hypothesis Bayesian testing. In NURSE RESEARCHER. ISSN 1351-5578, DEC 16 2020, vol. 28, no. 4, p. 41-48.

10. [1.1] NANJI, J.A. – GUO, N. – RILEY, E.T. – CARVALHO, B. Impact of intra-operative dexamethasone after scheduled cesarean delivery: a retrospective study. In INTERNATIONAL JOURNAL OF OBSTETRIC ANESTHESIA. ISSN 0959-289X, FEB 2020, vol. 41, p. 39-46.

11. [1.1] SHI, H.L. – YIN, G.S. Reconnecting p-Value and Posterior Probability Under One- and Two-Sided Tests. In AMERICAN STATISTICIAN. ISSN 0003-1305.

12. [1.2] DI LEO, G. – SARDANELLI, F. Statistical significance: p value, 0.05 threshold, and applications to radiomics—reasons for a conservative approach. In EUROPEAN RADIOLOGY EXPERIMENTAL. ISSN 2509-9280, 2020, vol. 4, no. 1.

13. [1.2] 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, 2020.

14. [3.1] ASTLEITNER, H. Intervention Research in Educational Practice. Waxmann, 2020, ISBN 978-3-8309-4197-2.

15. [3.1] HIRSCHAUER, N. – GRUENER, S. – MUSSHOFF, O. – BECKER, C. A Primer on P-value Thresholds and Α-levels – Two Different Kettles of Fish. In SocArXiv, 2020. DOI doi:10.31235/osf.io/d46m2.

16. [3.1] LOMAX, R.G. – HAHS-VAUGHN. D.L. An Introduction to Statistical Concepts, Third Edition. CRC Press, 2020, ISBN 9781138650558.

17. [3.1] YUKY, Y. A hard problem of reproducibility: We never learn. In COGNITIVE STUDIES: BULLETIN OF THE JAPANESE COGNITIVE SCIENCE SOCIETY. ISSN 1341-7924, 2020, vol. 27, no. 4, p. 438-439. [in Japanese]

18. [3.1] ZHANG, F. – HUGHES, C. Beyond P-value: the Rigor and Power of Study. In GLOBAL CLINICAL AND TRANSLATIONAL RESEARCH. ISSN 2641-7154, 2020, vol. 2, no. 1, p. 1-6.

 

• 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, karentované – CCC). (2008 – Current Contents). ISSN 0938-7994. Dostupné na: https://doi.org/10.1007/s00330-008-0859-3

SCOPUS citations: 1

1. [1.2] BORIĆ, I. – MATIŠIĆ, V. – PAVLOVIĆ, T. – CVRTILA, D. Imaging of the articular cartilage repair. In MEDICINA FLUMINENSIS. ISSN 1847-6864, 2020, vol. 56, no. 3, p. 201-209.

 

• 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, karentované – CCC). (2012 – Current Contents). ISSN 0938-7994. Dostupné na: https://doi.org/10.1007/s00330-012-2508-0

SCOPUS citations: 2

1. [1.2] ARINGHIERI, G. – ZAMPA, V. – TOSETTI, M. Musculoskeletal MRI at 7 T: do we need more or is it more than enough? In EUROPEAN RADIOLOGY EXPERIMENTAL. ISSN 2509-9280, 2020, vol. 4, no. 1.

2. [1.2] PELOSCHEK, P. – LANGS, G. – WINDHAGER, R. – KAINBERGER, F. Computer-Assisted Quantification. In MEDICAL RADIOLOGY. ISSN 0942-5373, 2020, p. 75-101.

 

• TRATTNIG, S. – MARLOVITS, S. – GEBETSROITHER, S. – SZOMOLÁNYI, Pavol – WELSCH, G.H. – SALOMONOWITZ, E. – WANATABE, A. – DEIMLING, M. – MAMISCH, T.C. Three-dimensional delayed Gadolinium enhanced MRI of cartilage (dGEMRIC) for in vivo evaluation of reparative cartilage after matrix-associated autologous chondrocyte transplantation at 3.0 T – preliminary results. In Journal of Magnetic Resonance Imaging, 2007, vol. 26, no. 4, p. 974-982. (2006: 2.637 – IF, Q1 – JCR, 1.729 – SJR, Q1 – SJR, karentované – CCC). (2007 – Current Contents). ISSN 1053-1807. Dostupné na: https://doi.org/10.1002/jmri.21091

WOS citations: 1; SCOPUS citations: 1

1. [1.1] BESSELINK, N. – VINCKEN, K. – BARTELS, L. – VAN HEERWAARDEN, R – CONCEPCION, A. – MARIJNISSEN, A. – SPRUIJT, S. – CUSTERS, R. – VAN DER WOUDE, J. – WIEGANT, K. – WELSING, P. – MASTBERGEN, S. – LAFEBER, F. Cartilage Quality (dGEMRIC Index) Following Knee Joint Distraction or High Tibial Osteotomy. In CARTILAGE. ISSN 1947-6035, 2020, vol. 11, no. 1, pp. 19-31.

2. [1.2] BORIĆ, I. – MATIŠIĆ, V. – PAVLOVIĆ, T. – CVRTILA, D. Imaging of the articular cartilage repair. In MEDICINA FLUMINENSIS. ISSN 1847-6864, 2020, vol. 56, no. 3, p. 201-209.

 

• 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, karentované – CCC). (2007 – Current Contents). ISSN 0020-9996. Dostupné na: https://doi.org/10.1097/01.rli.0000262088.67368.49

WOS citations: 4

1. [1.1] AYDIN, M. – YORUBULUT, M. – BASARIR, K. – ARIKAN, M. – BINNET, M.S. Matrix induced autologous chondrocyte implantation in the knee: Comparison between osteochondritis dissecans and osteonecrosis and effect of chondrocyte thickness on prognosis. In ACTA ORTHOPAEDICA ET TRAUMATOLOGICA TURCICA. ISSN 1017-995X, 2020, vol. 54, no. 1, p. 66-73.

2. [1.1] BERTA, A. – SHIVE, M.S. – LYNN, A.K. – GETGOOD, A. – TOTTERMAN, S. – BUSBY, G. – HOLLENSTEIN, J. – VASARHELYI, G. – KEKI, I. – HANGODY, L. Follow-Up Study Evaluating the Long Term Outcome of ChondroMimetic in the Treatment of Osteochondral Defects in the Knee. In APPLIED SCIENCES-BASEL, 2020, vol. 10, no. 1.

3. [1.1] FREITAG, J. – SHAH, K. – WICKHAM, J. – LI, D. – NORSWORTHY, C. – TENEN, A. Evaluation of autologous adipose-derived mesenchymal stem cell therapy in focal chondral defects of the knee: a pilot case series. In REGENERATIVE MEDICINE. ISSN 1746-0751, 2020, vol. 15, no. 6, p. 1703-1717.

4. [1.1] FREITAG, J. – WICKHAM, J. – SHAH, K. – LI, D. – NORSWORTHY, C. – TENEN, A. Mesenchymal stem cell therapy combined with arthroscopic abrasion arthroplasty regenerates cartilage in patients with severe knee osteoarthritis: a case series. In REGENERATIVE MEDICINE. ISSN 1746-0751, 2020, vol. 15, no. 8.

 

• 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, karentované – CCC). (2009 – Current Contents). ISSN 0020-9996. Dostupné na: https://doi.org/10.1097/rli.0b013e3181b4c236

WOS citations: 1; other citations: 1

1. [1.1] REHNITZ, C. – DO, T. – KLAAN, B. – BURKHOLDER, I. – BARIE, A. – WUENNEMANN, F. – KAUCZOR, H.-U. – WEBER, M.-A. Feasibility of Using Half-Dose Gd-BOPTA for Delayed Gadolinium-Enhanced MRI of Cartilage (dGEMRIC) at the Knee, Compared with Standard-Dose Gd-DTPA. In JOURNAL OF MAGNETIC RESONANCE IMAGING. ISSN 1053-1807, 2020, vol. 51, no. 1, p. 144-154.

2. [3.1] XUE, Y. – WANG, Z. – YANG, L. – FENG, G. – HU, X. – JIN, Q. Research Progress of Quantitative Magnetic Resonance Imaging in Articular Cartilage. In ADVANCES IN CLINICAL MEDICINE. ISSN 2161-8712, 2020, vol. 10, no. 8, p. 1855-1861.

 

• 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, karentované – CCC). (2010 – Current Contents). ISSN 0938-7994. Dostupné na: https://doi.org/10.1007/s00330-010-1843-2

WOS citations: 2; other citations: 1

1. [1.1] ENOKIDA, S. – TANISHIMA, S. – TANIDA, A. – MIHARA, T. – TAKEDA, C. – YAMASHITA, E. – NAGASHIMA, H. Evaluation of age-related changes in lumbar facet joints using T2 mapping. In JOURNAL OF ORTHOPAEDIC SCIENCE. ISSN 0949-2658, 2020, vol. 25, no. 1, p. 46-51.

2. [1.1] HARADA, G.K. – SIYAJI, Z. – YOUNIS, S. – LOUIE, P. – SAMARTZIS, D. – AN, H.S. Imaging in Spine Surgery: Current Concepts and Future Directions. In SPINE SURGERY AND RELATED RESEARCH. ISSN 2432-261X, 2020, vol. 4, no. 2, p. 99-110.

3. [3.1] TAKANO, H. – YONEZAWA, I. – OKUDA, T. – KANEKO, K. Classification of Intervertebral Disc Degeneration in Low Back Pain Using Diffusional Kurtosis Imaging. In OPEN JOURNAL OF RADIOLOGY. ISSN 2164-3024, 2020, vol. 10, no. 2.

 

• 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, karentované – CCC). (2016 – Current Contents). ISSN 0952-3480. Dostupné na: https://doi.org/10.1002/nbm.3272

WOS citations: 3

1. [1.1] CLARKE, W.T. – MOUGIN, O. – DRIVER, I.D. – RUA, C. – MORGAN, A.T. – ASGHAR, M. – CLARE, S. – FRANCIS, S. – WISE, R.G. – RODGERS, C.T. – CARPENTER, A. – MUIR, K. – BOWTELL, R. Multi-site harmonization of 7 tesla MRI neuroimaging protocols. In NEUROIMAGE. ISSN 1053-8119, 2020, vol. 206.

2. [1.1] TREUTLEIN, C. – BAEUERLE, T. – NAGEL, A.M. – GUERMAZI, A. – KLEYER, A. – SIMON, D. – SCHETT, G. – HEPP, T. – UDER, M. – ROEMER, F.W. Comprehensive assessment of knee joint synovitis at 7T MRI using contrast-enhanced and non-enhanced sequences. In BMC MUSCULOSKELETAL DISORDERS, 2020, vol. 21, no. 1.

3. [1.1] WILCOX, M. – WRIGHT, S.M. – MCDOUGALL, M. A Review of Non-H-1 RF Receive Arrays in Magnetic Resonance Imaging and Spectroscopy. In IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY, 2020, vol. 1, p. 290-300.

 

• 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, karentované – CCC). (2017 – Current Contents). ISSN 1478-3223. Dostupné na: https://doi.org/10.1111/liv.13451

WOS citations: 5; SCOPUS citations: 1

1. [1.1] BEYOGLU, D. – IDLE, J.R. Metabolomic and Lipidomic Biomarkers for Premalignant Liver Disease Diagnosis and Therapy. In METABOLITES. FEB 2020, vol. 10, no. 2.

2. [1.1] CHEN, Z.J. – HAN, S. – ZHENG, P. – ZHOU, D. – ZHOU, S.P. – JIA, G. Effect of oral exposure to titanium dioxide nanoparticles on lipid metabolism in Sprague-Dawley rats. In NANOSCALE. ISSN 2040-3364, MAR 14 2020, vol. 12, no. 10, p. 5973-5986.

3. [1.1] HUBER, F.A. – DEL GRANDE, F. – RIZZO, S. – GUGLIELMI, G. – GUGGENBERGER, R. MRI in the assessment of adipose tissues and muscle composition: how to use it. In QUANTITATIVE IMAGING IN MEDICINE AND SURGERY. ISSN 2223-4292, AUG 2020, vol. 10, no. 8, p. 1636-1649.

4. [1.1] LAPADAT, A.M. – FLORESCU, L.M. – MANEA, N.C. – GHEONEA, D.I. – PIRICI, D. – TUDORASCU, D.R. – ENE, R. – GHEONEA, I.A. MR spectroscopy of the liver – a reliable non-invasive alternative for evaluating non-alcoholic fatty liver disease. In ROMANIAN JOURNAL OF MORPHOLOGY AND EMBRYOLOGY. ISSN 1220-0522, 2020, vol. 61, no. 1, p. 73-80.

5. [1.1] MASI, B. – PERLES-BARBACARU, T.A. – BERNARD, M. – VIOLA, A. Clinical and Preclinical Imaging of Hepatosplenic Schistosomiasis. In TRENDS IN PARASITOLOGY. ISSN 1471-4922, FEB 2020, vol. 36, no. 2, p. 206-226.

6. [1.2] PAFILI, K. – RODEN, M. Nonalcoholic fatty liver disease (NAFLD) from pathogenesis to treatment concepts in humans. In MOLECULAR METABOLISM, 2020.

 

• 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, karentované – CCC). (2017 – Current Contents). ISSN 0740-3194. Dostupné na: https://doi.org/10.1002/mrm.26576

WOS citations: 1

1. [1.1] BASHIR, A. – ZHANG, J. – DENNEY, T.S. Creatine kinase rate constant in the human heart at 7T with 1D-ISIS/2D CSI localization. In PLOS ONE. ISSN 1932-6203, 2020, vol. 15, no. 3.

 

• VALKOVIČ, Ladislav – BOGNER, W. – GAJDOŠÍK, M. – POVAŽAN, M. – KUKUROVÁ, I.J. – KRŠŠÁK, M. – GRUBER, S. – FROLLO, Ivan – TRATTNIG, S. – CHMELÍK, M. One-dimensional image-selected in vivo spectroscopy localized phosphorus saturation transfer at 7T. In Magnetic Resonance in Medicine, 2014, vol. 72, no. 6, p. 1509-1515. (2013: 3.398 – IF, Q1 – JCR, 1.959 – SJR, karentované – CCC). (2014 – Current Contents). ISSN 0740-3194. Dostupné na: https://doi.org/10.1002/mrm.25058

WOS citations: 1

1. [1.1] SEDIVY, P. – DEZORTOVA, M. – DROBNY, M. – DUBSKY, M. – DUSILOVA, T. – KOVAR, J. – HAJEK, M. Origin of the P-31 MR signal at 5.3 ppm in patients with critical limb ischemia. In NMR IN BIOMEDICINE. ISSN 0952-3480, 2020, vol. 33, no. 6.

 

• 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, karentované – CCC). (2014 – Current Contents). ISSN 0952-3480. Dostupné na: https://doi.org/10.1002/nbm.3196

WOS citations: 5; SCOPUS citations: 1

1. [1.1] CLIFFORD, B.- GU, Y. – LIU, Y. – KIM, K. – HUANG, S. – LI, Y. – LAM, F. – LIANG, Z.-P. – YU, X. High-Resolution Dynamic P-31-MR Spectroscopic Imaging for Mapping Mitochondrial Function. In IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. ISSN 0018-9294, 2020, vol. 67, no. 10, p. 2745-2753.

2. [1.1] HAEUFLE, D.F.B. – SIEGEL, J. – HOCHSTEIN, S. – GUSSEW, A. – SCHMITT, S. – SIEBERT, T. – RZANNY, R. – REICHENBACH, J.R. – STUTZIG, N. Energy Expenditure of Dynamic Submaximal Human Plantarflexion Movements: Model Prediction and Validation byin-vivoMagnetic Resonance Spectroscopy. In FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY. ISSN 2296-4185, 2020, vol. 8.

3. [1.1] KUMAR, D. – NANGA, R.P.R. – THAKURI, D. – WILSON, N. – CEMBER, A. – MARTIN, M.L. – ZHU, D. – SHINOHARA, R.T. – QIN, Q. – HARIHARAN, H. – REDDY, R. Recovery kinetics of creatine in mild plantar flexion exercise using 3D creatine CEST imaging at 7 Tesla. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, 2020.

4. [1.1] SANTOS-DIAZ, A. – NOSEWORTHY, M.D. Phosphorus magnetic resonance spectroscopy and imaging (P-31-MRS/MRSI) as a window to brain and muscle metabolism: A review of the methods. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, 2020, vol. 60.

5. [1.1] WERNBOM, M. – AAGAARD, P. Muscle fibre activation and fatigue with low-load blood flow restricted resistance exercise-An integrative physiology review. In ACTA PHYSIOLOGICA. ISSN 1748-1708, 2020, vol. 228, no. 1.

6. [1.2] LIU, Y. – YANG, C. – LI, H. – WANG, K. – SUN, X. Selection and progresses of 31P-MRS scanning sequences. In CHINESE JOURNAL OF MEDICAL IMAGING TECHNOLOGY. ISSN 1003-3289, 2020, vol. 36, no. 7, p. 1088-1092.

 

• 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, karentované – CCC). (2016 – Current Contents). ISSN 0952-3480. Dostupné na: https://doi.org/10.1002/nbm.3662

WOS citations: 4

1. [1.1] CHEN, L. – SCHAR, M. – CHAN, K.W.Y. – HUANG, J. – WEI, Z. – LU, H. – QIN, Q. – WEISS, R.G. – VAN ZIJL, P.C.M. – XU, J. In vivo imaging of phosphocreatine with artificial neural networks. In NATURE COMMUNICATIONS. ISSN 2041-1723, 2020, vol. 11, no. 1.

2. [1.1] CLIFFORD, B. – GU, Y. – LIU, Y. – KIM, K. – HUANG, S. – LI, Y. – LAM, F. – LIANG, Z.-P. – YU, X. High-Resolution Dynamic P-31-MR Spectroscopic Imaging for Mapping Mitochondrial Function. In IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. ISSN 0018-9294, 2020, vol. 67, no. 10, p. 2745-2753.

3. [1.1] KORZOWSKI, A. – WEINFURTNER, N. – MUELLER, S. – BREITLING, J. – GOERKE, S. – SCHLEMMER, H.-P. – LADD, M.E. – PAECH, D. – BACHERT, P. Volumetric mapping of intra- and extracellular pH in the human brain using P-31 MRSI at 7T. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, 2020, vol. 84, no. 4, p. 1707-1723.

4. [1.1] SANTOS-DIAZ, A. – NOSEWORTHY, M.D. Phosphorus magnetic resonance spectroscopy and imaging (P-31-MRS/MRSI) as a window to brain and muscle metabolism: A review of the methods. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, 2020, vol. 60.

 

• 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, karentované – CCC). (2017 – Current Contents, WOS, SCOPUS). ISSN 0003-2697. Dostupné na: https://doi.org/10.1016/j.ab.2017.01.018

WOS citations: 8; SCOPUS citations: 2

1. [1.1] BRAGANZA, A. – ANNARAPU, G.K. – SHIVA, S. Blood-based bioenergetics: An emerging translational and clinical tool. In MOLECULAR ASPECTS OF MEDICINE. ISSN 0098-2997, FEB 2020, vol. 71.

2. [1.1] HUBER, F.A. – DEL GRANDE, F. – RIZZO, S. – GUGLIELMI, G. – GUGGENBERGER, R. MRI in the assessment of adipose tissues and muscle composition: how to use it. In QUANTITATIVE IMAGING IN MEDICINE AND SURGERY. ISSN 2223-4292, AUG 2020, vol. 10, no. 8, p. 1636-1649.

3. [1.1] KO, S.F. – CHEN, Y.L. – SUNG, P.H. – CHIANG, J.Y. – CHU, Y.C. – HUANG, C.C. – HUANG, C.R. – YIP, H.K. Hepatic P-31-magnetic resonance spectroscopy identified the impact of melatonin-pretreated mitochondria in acute liver ischaemia-reperfusion injury. In JOURNAL OF CELLULAR AND MOLECULAR MEDICINE. ISSN 1582-1838, SEP 2020, vol. 24, no. 17, p. 10088-10099.

4. [1.1] PETERZAN, M.A. – LEWIS, A.J.M. – NEUBAUER, S. – RIDER, O.J. Non-invasive investigation of myocardial energetics in cardiac disease using P-31 magnetic resonance spectroscopy. In CARDIOVASCULAR DIAGNOSIS AND THERAPY. ISSN 2223-3652, JUN 2020, vol. 10, no. 3, p. 625-635.

5. [1.1] SANTOS-DIAZ, A. – NOSEWORTHY, M.D. Phosphorus magnetic resonance spectroscopy and imaging (P-31-MRS/MRSI) as a window to brain and muscle metabolism: A review of the methods. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, JUL 2020, vol. 60.

6. [1.1] SASSANI, M. – ALIX, J.J. – MCDERMOTT, C.J. – BASTER, K. – HOGGARD, N. – WILD, J.M. – MORTIBOYS, H.J. – SHAW, P.J. – WILKINSON, I.D. – JENKINS, T.M. Magnetic resonance spectroscopy reveals mitochondrial dysfunction in amyotrophic lateral sclerosis. In BRAIN. ISSN 0006-8950, DEC 2020, vol. 143, 12, p. 3603-3618.

7. [1.1] WEBER, M.A. – NAGEL, A.M. – KAN, H.E. – WATTJES, M.P. Quantitative Imaging in Muscle Diseases with Focus on Non-proton MRI and Other Advanced MRI Techniques. In SEMINARS IN MUSCULOSKELETAL RADIOLOGY. ISSN 1089-7860, AUG 2020, vol. 24, no. 04, p. 402-412.

8. [1.1] XIE, N. – ZHANG, L. – GAO, W. – HUANG, C.H. – HUBER, P.E. – ZHOU, X.B. – LI, C.L. – SHEN, G.B. – ZOU, B.W. NAD(+)metabolism: pathophysiologic mechanisms and therapeutic potential. In SIGNAL TRANSDUCTION AND TARGETED THERAPY. ISSN 2095-9907, OCT 7 2020, vol. 5, no. 1.

9. [1.2] CHEN, Y. – ZHENG, J. – GAO, F. Application of MRI techniques in the evaluation of the microcirculation in lower extremity skeletal muscles. In CHINESE JOURNAL OF RADIOLOGY (CHINA). ISSN 1005-1201, 2020, vol. 54, no. 6, p. 617-620.

10. [1.2] SEDIVY, P. – DEZORTOVA, M. – DROBNY, M. – DUBSKY, M. – DUSILOVA, T. – KOVAR, J. – HAJEK, M. Origin of the 31P MR signal at 5.3 ppm in patients with critical limb ischemia. In NMR IN BIOMEDICINE. ISSN 0952-3480, 2020, vol. 33, no. 6.

 

• 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, karentované – CCC). (2016 – Current Contents). ISSN 2045-2322. Dostupné na: https://doi.org/10.1038/srep20087

WOS citations: 2; other citations: 1

1. [1.1] SANTOS-DIAZ, A. – NOSEWORTHY, M.D. Phosphorus magnetic resonance spectroscopy and imaging (P-31-MRS/MRSI) as a window to brain and muscle metabolism: A review of the methods. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, 2020, vol. 60.

2. [1.1] SEDIVY, P. – DEZORTOVA, M. – DROBNY, M. – DUBSKY, M. – DUSILOVA, T. – KOVAR, J. – HAJEK, M. Origin of the P-31 MR signal at 5.3 ppm in patients with critical limb ischemia. In NMR IN BIOMEDICINE. ISSN 0952-3480, 2020, vol. 33, no. 6.

3. [3.1] LOPEZ, P.J.C. – GUILLAMON, A.R. – CANTO, E.G. Relación entre la actividad física y el índice de masa corporal en escolares de Murcia. In ANALES VENEZOLANOS DE NUTRICIÓN (IMPRESA). ISSN 0798-0752, 2020, vol. 33, no. 2, p. 117-122.

 

• 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, karentované – CCC). (2019 – Current Contents). ISSN 1097-6647. Dostupné na: https://doi.org/10.1186/s12968-019-0529-4

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

1. [1.1] DUBININ, M.V. – TALANOV, E.Y. – TENKOV, K.S. – STARINETS, V.S. – MIKHEEVA, I.B. – BELOSLUDTSEV, K.N. Transport of Ca(2+)and Ca2+-dependent permeability transition in heart mitochondria in the early stages of Duchenne muscular dystrophy. In BIOCHIMICA ET BIOPHYSICA ACTA-BIOENERGETICS. ISSN 0005-2728, OCT 1 2020, vol. 1861, no. 10.

2. [1.1] NG, H. – AGIC, M.B. – HULTSTROM, M. – ISACKSON, H. Optimal cutting temperature medium embedding and cryostat sectioning are valid for cardiac myofilament function assessment. In AMERICAN JOURNAL OF PHYSIOLOGY-HEART AND CIRCULATORY PHYSIOLOGY. ISSN 0363-6135, JUL 2020, vol. 319, no. 1, p. H235-H241.

3. [1.1] ROAT, S. – VIT, M. – WAMPL, S. – SCHMID, A.I. – LAISTLER, E. A Flexible Array for Cardiac P-31 MR Spectroscopy at 7 T. In FRONTIERS IN PHYSICS. ISSN 2296-424X, APR 15 2020, vol. 8.

4. [1.1] TOEPFER, C.N. – GARFINKEL, A.C. – VENTURINI, G. – WAKIMOTO, H. – REPETTI, G. – ALAMO, L. – SHARMA, A. – AGARWAL, R. – EWOLDT, J.F. – CLOONAN, P. – LETENDRE, J. – LUN, M.Y. – OLIVOTTO, I. – COLAN, S. – ASHLEY, E. – JACOBY, D. – MICHELS, M. – REDWOOD, C.S. – WATKINS, H.C. – DAY, S.M. – STAPLES, J.F. – PADRON, R. – CHOPRA, A. – HO, C.Y. – CHEN, C.S. – PEREIRA, A.C. – SEIDMAN, J.G. – SEIDMAN, C.E. Myosin Sequestration Regulates Sarcomere Function, Cardiomyocyte Energetics, and Metabolism, Informing the Pathogenesis of Hypertrophic Cardiomyopathy. In CIRCULATION. ISSN 0009-7322, MAR 10 2020, vol. 141, no. 10, p. 828-842.

5. [1.2] BURRAGE, M.K. – FERREIRA, V.M. Cardiovascular Magnetic Resonance for the Differentiation of Left Ventricular Hypertrophy. In CURRENT HEART FAILURE REPORTS. ISSN 1546-9530, 2020, vol. 17, no. 5, p. 192-204.

6. [3.1] LOPEZ, R. – MARZBAN, B. – GAO, X. – LAUINGER, E. – VAN DEN BERGH, F. – WHITESALL, S.E. – CONVERSO-BARAN, K. – BURANT, C.F. – MICHELE, D.E. – BEARD, D.A. Impaired Myocardial Energetics Causes Mechanical Dysfunction in Decompensated Failing Hearts. In FUNCTION. ISSN 2633-8823, 2020, vol. 1, no. 2.

 

• VANČO, P. – FARKAŠ, Igor. Experimental comparison of recursive self-organizing maps for processing tree-structured data. In Neurocomputing, 2010, vol. 73, no. 7-9, p. 1362-1375. (2009: 1.440 – IF, Q2 – JCR, 0.479 – SJR, Q2 – SJR, karentované – CCC). (2010 – Current Contents). ISSN 0925-2312. Dostupné na: https://doi.org/10.1016/j.neucom.2009.12.004

WOS citations: 1

1. [1.1] LI, S. – CHON, T. – PARK, Y. – SHI, X. – REN, Z. Application of temporal self-organizing maps to patterning short-time series of fish behavior responding to environmental stress. In ECOLOGICAL MODELLING. ISSN 0304-3800, 2020, vol. 433.

 

• VEJMELKA, M. – PALUŠ, M. – ŠUŠMÁKOVÁ, Kristína. Identification of nonlinear oscillatory activity embedded in broadband neural signals. In International Journal of Neural Systems, 2010, vol. 20, no. 2, p. 117-128. (2009: 2.988 – IF, 0.507 – SJR, Q2 – SJR, karentované – CCC). (2010 – Current Contents). ISSN 0129-0657. Dostupné na: https://doi.org/10.1142/S0129065710002309

WOS citations: 3

1. [1.1] HAVARAN, A. – MAHMOUDI, M. Extracting structural dynamic properties utilizing close photogrammetry method. In MEASUREMENT. ISSN 0263-2241, JAN 2020, vol. 150.

2. [1.1] SALMAN, K. – TRAN, T.T. – KIM, D. Seismic capacity evaluation of NPP electrical cabinet facility considering grouping effects. In JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY. ISSN 0022-3131, JUL 2 2020, vol. 57, no. 7, p. 800-812.

3. [1.1] YU, H.T. – LEI, X.Y. – SONG, Z.X. – LIU, C. – WANG, J. Supervised Network-Based Fuzzy Learning of EEG Signals for Alzheimer’;s Disease Identification. In IEEE TRANSACTIONS ON FUZZY SYSTEMS. ISSN 1063-6706, JAN 2020, vol. 28, no. 1, p. 60-71.

 

• VIDLIČKA, Ľ. – VRŠANSKÝ, P. – KÚDELOVÁ, T. – KÚDELA, M. – DEHARVENG, L. – HAIN, Miroslav. New genus and species of cavernicolous cockroach (Blattaria, Nocticolidae) from Vietnam. In Zootaxa, 2017, vol. 4232, no. 3, p. 361-375. (2016: 0.972 – IF, Q3 – JCR, 0.365 – SJR, Q3 – SJR, karentované – CCC). (2017 – Current Contents). ISSN 1175-5334. Dostupné na: https://doi.org/10.11646/zootaxa.4232.3.5

WOS citations: 2

1. [1.1] FUJITA, M. – LEE, C.Y. – MACHIDA, R. Reproductive biology and embryonic development of Nocticola sp. (Blattodea: Nocticolidae). In ARTHROPOD SYSTEMATICS & PHYLOGENY. ISSN 1863-7221, 2020, vol. 78, no. 3, p. 393-403.

2. [1.1] LI, X.R. – HUANG, D.Y. A new mid-Cretaceous cockroach of stem Nocticolidae and reestimating the age of Corydioidea (Dictyoptera: Blattodea). In CRETACEOUS RESEARCH. ISSN 0195-6671, FEB 2020, vol. 106.

 

• WEIS, Ján – ERICSSON, A. – ASTRÖM, G. – SZOMOLÁNYI, Pavol – HEMMINGSSON, A. High-resolution spectroscopic imaging of the human skin. In Magnetic Resonance Imaging, 2001, vol. 19, no. 2, p. 275-278. (2000: 1.452 – IF, karentované – CCC). (2001 – Current Contents). ISSN 0730-725X. Dostupné na: https://doi.org/10.1016/S0730-725X(01)00290-9

WOS citations: 2

1. [1.1] OZKAN, M.C. – YESIL, F. – BAYRAMICLI, I. – BAYRAMICLI, M. Soft Tissue Thickness Variations of the Nose: A Radiological Study. In AESTHETIC SURGERY JOURNAL. ISSN 1090-820X, 2020, vol. 40, no. 7, p. 711-718.

2. [1.1] QUERLEUX, B. – GUILLOT, G. – GINEFRI, J.-C. – POIRIER-QUINOT, M. – DARRASSE, L. Quantitative Magnetic Resonance Imaging of the Skin: In Vitro and In Vivo Applications. In IMAGING TECHNOLOGIES AND TRANSDERMAL DELIVERY IN SKIN DISORDERS, 2020, p. 341-369.

 

• WELSCH, G.H. – TRATTNIG, S. – SCHEFFLER, K. – SZOMOLÁNYI, Pavol – QUIRBACH, S. – MARLOVITS, S. – DOMAYER, S. – BIERI, O. – MAMISCH, T.C. Magnetization transfer contrast and T2 mapping in the evaluation of cartilage repair tissue with 3T MRI. In Journal of Magnetic Resonance Imaging, 2008, vol. 28, p. 979-986. (2007: 2.209 – IF, Q2 – JCR, 1.654 – SJR, Q1 – SJR, karentované – CCC). (2008 – Current Contents). ISSN 1053-1807. Dostupné na: https://doi.org/10.1002/jmri.21516

WOS citations: 3; SCOPUS citations: 1

1. [1.1] AYDIN, M. – YORUBULUT, M. – BASARIR, K. – ARIKAN, M. – BINNET, M.S. Matrix induced autologous chondrocyte implantation in the knee: Comparison between osteochondritis dissecans and osteonecrosis and effect of chondrocyte thickness on prognosis. In ACTA ORTHOPAEDICA ET TRAUMATOLOGICA TURCICA. ISSN 1017-995X, JAN 2020, vol. 54, no. 1, p. 66-73.

2. [1.1] KIM, M.S. – CHUN, C.H. – WANG, J.H. – KIM, J.G. – KANG, S.B. – YOO, J.D. – CHON, J.G. – KIM, M.K. – MOON, C.W. – CHANG, C.B. – SONG, I.S. – HA, J.K. – CHOI, N.Y. – IN, Y. Microfractures Versus a Porcine-Derived Collagen-Augmented Chondrogenesis Technique for Treating Knee Cartilage Defects: A Multicenter Randomized Controlled Trial. In ARTHROSCOPY-THE JOURNAL OF ARTHROSCOPIC AND RELATED SURGERY. ISSN 0749-8063, JUN 2020, vol. 36, no. 6, p. 1612-1624.

3. [1.1] YANG, J.W. – SHAO, H.D. – MA, Y.J. – WAN, L.D. – ZHANG, Y.X. – JIANG, J.J. – DU, J. – TANG, G.Y. Quantitative ultrashort echo time magnetization transfer (UTE-MT) for diagnosis of early cartilage degeneration: comparison with UTE-T2* and T2 mapping. In QUANTITATIVE IMAGING IN MEDICINE AND SURGERY. ISSN 2223-4292, JAN 2020, vol. 10, no. 1, p. 171-183.

4. [1.2] ARINGHIERI, G. – ZAMPA, V. – TOSETTI, M. Musculoskeletal MRI at 7 T: do we need more or is it more than enough? In EUROPEAN RADIOLOGY EXPERIMENTAL, 2020, vol. 4, no. 1.

 

• 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, karentované – CCC). (2000 – Current Contents). ISSN 0957-0233. Dostupné na: https://doi.org/10.1088/0957-0233/11/12/302

WOS citations: 1

1. [2.1] ANDRIS, P. – FROLLO, I. Sensitivity Analysis of the Simply Noise-matched Receiving Coil for NMR Experiments. In MEASUREMENT SCIENCE REVIEW. ISSN 1335-8871, 2020, vol. 20, no. 5, p. 236-240.

 

• WIMMER, G. – WITKOVSKÝ, Viktor. Linear comparative calibration with correlated measurements. In Kybernetika, 2007, vol. 43, no. 4, p. 443-452. (2006: 0.293 – IF, Q4 – JCR, 0.259 – SJR, Q2 – SJR, karentované – CCC). (2007 – Current Contents). ISSN 0023-5954.

SCOPUS citations: 1

1. [1.2] RÁBONOVÁ, P. Impact of dispersion of measurement on estimation of polynomial calibration function coefficients. In AIP CONFERENCE PROCEEDINGS. ISSN 0094-243X, 2020, vol. 2293.

 

• 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, karentované – CCC). (2001 – Current Contents). ISSN 0023-5954.

WOS citations: 1

1. [1.1] POPOVIC, B.V. – MIJANOVIC, A. – GENC, A.I. On linear combination of generalized logistic random variables with an application to financial returns. In APPLIED MATHEMATICS AND COMPUTATION. ISSN 0096-3003, 2020, vol. 381.

 

• WITKOVSKÝ, Viktor. Exact distribution of positive linear combinations of inverted chi-square random variables with odd degrees of freedom. In Statistics & Probability Letters, 2002, vol. 56, p. 45-50. (2001: 0.357 – IF, karentované – CCC). (2002 – Current Contents). ISSN 0167-7152. Dostupné na: https://doi.org/10.1016/S0167-7152(01)00165-1

WOS citations: 1

1. [1.1] BOURGUIGNON, M. – GALLARDO, D. Reparameterized inverse gamma regression models with varying precision. In STATISTICA NEERLANDICA. ISSN 0039-0402, 2020, vol. 74, no. 4, p. 611-627.

 

• 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 Co_1−xZn_xFe₂O₄ (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, karentované – CCC). (2018 – Current Contents, WOS, SCOPUS). ISSN 0304-8853. Dostupné na: https://doi.org/10.1016/j.jmmm.2017.09.033

WOS citations: 17

1. [1.1] AL-BASSAMI, N. S. – MANSOUR, S. F. – ABDO, M. A. The Magneto-mechanical Properties of Cobalt Substituted Mg-Zn Nanoferrites. In JOURNAL OF SUPERCONDUCTIVITY AND NOVEL MAGNETISM. ISSN 1557-1939, 2020, vol. 33, no. 10, pp. 3077-3086.

2. [1.1] BASFER, N. M. – MANSOUR, S. F. – AL-HAZMI, Faten. Tailored dielectric, optical properties and photocatalytic performance of Mg-Zn nanoferrites by Cu(2+)substitution. In JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS. ISSN 0957-4522, 2020, vol. 31, no. 19, pp. 16160-16177.

3. [1.1] BASFER, N. M. – MANSOUR, S. F. – AL-HAZMI, Faten. The influence of Cu(2+)substitution on theoretical and experimental magneto-mechanical properties of Mg-Zn nanoferrites. In JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS. ISSN 0957-4522, 2020, vol. 31, no. 13, pp. 10889-10902.

4. [1.1] KADAM, R. H. – BORADE, R. B. – MANE, M. L. – MANE, D. R. – BATOO, K. M. – SHIRSATH, Sagar E. Structural, mechanical, dielectric properties and magnetic interactions in Dy3+-substituted Co-Cu-Zn nanoferrites. In RSC ADVANCES, 2020, vol. 10, no. 47, pp. 27911-27922.

5. [1.1] KAYKAN, Larysa – SIJO, A. K. – ZYWCZAK, Antoni – MAZURENKO, Julia – BANDURA, Khrystyna. Tailoring of structural and magnetic properties of nanosized lithium ferrites synthesized by sol-gel self-combustion method. In APPLIED NANOSCIENCE. ISSN 2190-5509, 2020, vol. 10, no. 12, pp. 4577-4583.

6. [1.1] LAKSHMANAN, A. – SURENDRAN, P. – PRIYA, S. Sakthy – BALAKRISHNAN, K. – GEETHA, P. – RAMESHKUMAR, P. – HEGDE, Tejaswi Ashok – VINITHA, G. – KANNAN, Karthik. Investigations on structural, optical, dielectric, electronic polarizability, Z-scan and antibacterial properties of Ni/Zn/Fe2O4 nanoparticles fabricated by microwave-assisted combustion method. In JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY A-CHEMISTRY. ISSN 1010-6030, 2020, vol. 402, 112794.

7. [1.1] LAKSHMANAN, A. – SURENDRAN, P. – SAKTHYPRIYA, S. – BALAKRISHNAN, K. – HEGDE, Tejaswi Ashok – VINITHA, G. – RAMALINGAM, G. – RAVINDRAN, B. – CHANG, S. W. – ELSHIKH, M. S. – MAHMOUD, A. H. – AL FARRAJ, D. A. – RAMESHKUMAR, P. Effect of fuel content on nonlinear optical and antibacterial activities of Zn/Cu/Al2O4 nanoparticles prepared by microwave-assisted combustion method. In JOURNAL OF KING SAUD UNIVERSITY SCIENCE. ISSN 1018-3647, 2020, vol. 32, no. 2, pp. 1382-1389.

8. [1.1] LAL, Ganesh – PUNIA, Khushboo – DOLIA, Satya Narain – ALVI, Parvez A. – CHOUDHARY, Banwari L. – KUMAR, Sudhish. Structural, cation distribution, optical and magnetic properties of quaternary Co0.4+xZn0.6-xFe2O4 (x=0.0, 0.1 and 0.2) and Li doped quinary Co0.4+xZn0.5-xLi0.1Fe2O4 (x=0.0, 0.05 and 0.1) nanoferrites. In JOURNAL OF ALLOYS AND COMPOUNDS. ISSN 0925-8388, 2020, vol. 828, 154388.

9. [1.1] MAKSOUD, M. I. A. Abdel – EL-SAYYAD, Gharieb S. – ABD EL-KODOUS, M. – AWED, A. S. Controllable synthesis of Co1-x MxFe2O4 nanoparticles (M = Zn, Cu, and Mn; x=0.0 and 0.5) by cost-effective sol-gel approach: analysis of structure, elastic, thermal, and magnetic properties. In JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS. ISSN 0957-4522, 2020, vol. 31, no. 12, pp. 9726-9741.

10. [1.1] MAKSOUD, M. I. A. Abdel – EL-SAYYAD, Gharieb S. – ABOKHADRA, A. – SOLIMAN, L. – EL-BAHNASAWY, H. H. – ASHOUR, A. H. Influence of Mg2+ substitution on structural, optical, magnetic, and antimicrobial properties of Mn-Zn ferrite nanoparticles. In JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS. ISSN 0957-4522, 2020, vol. 31, no. 3, pp. 2598-2616.

11. [1.1] MAKSOUD, M. I. A. Abdel – ELGARAHY, Ahmed M. – FARRELL, Charlie – AL-MUHTASEB, Ala’;a H. – ROONEY, David W. – OSMAN, Ahmed I. Insight on water remediation application using magnetic nanomaterials and biosorbents. In COORDINATION CHEMISTRY REVIEWS. ISSN 0010-8545, 2020, vol. 403, 213096.

12. [1.1] MOHAMED, W. S. – ABU-DIEF, Ahmed M. Impact of rare earth europium (RE-Eu3+) ions substitution on microstructural, optical and magnetic properties of CoFe2-xEuxO4 nanosystems. In CERAMICS INTERNATIONAL. ISSN 0272-8842, 2020, vol. 46, no. 10, pp. 16196-16209.

13. [1.1] SARALA, E. – NAIK, M. Madhukara – VINUTH, M. – REDDY, Y. V. Rami – SUJATHA, H. R. Green synthesis of Lawsonia inermis-mediated zinc ferrite nanoparticles for magnetic studies and anticancer activity against breast cancer (MCF-7) cell lines. In JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS. ISSN 0957-4522, 2020, vol. 31, no. 11, pp. 8589-8596.

14. [1.1] SHAKIL, M. – INAYAT, Usama – ARSHAD, M. – NABI, Ghulam – KHALID, N. R. – TARIQ, N. H. – SHAH, A. – IQBAL, M. Z. Influence of zinc and cadmium co-doping on optical and magnetic properties of cobalt ferrites. In CERAMICS INTERNATIONAL. ISSN 0272-8842, 2020, vol. 46, no. 6, pp. 7767-7773.

15. [1.1] SUNGU MISIRLIOGLU, Banu – CAKIR, Oznur – CALIK, Hilal – CAKIR-KOC, Rabia. Assessment of structural and cytotoxic properties of cobalt ferrite nanoparticles for biomedical applications. In INORGANIC AND NANO-METAL CHEMISTRY. ISSN 2470-1556, 2020, vol., no., pp.

16. [1.1] SURENDRAN, P. – LAKSHMANAN, A. – PRIYA, S. Sakthy – BALAKRISHNAN, K. – RAMESHKUMAR, P. – HEGDE, Tejaswi Ashok – VINITHA, G. – RAMALINGAM, G. – RAJ, A. Antony. Investigations on solid-state parameters of third-order nonlinear optical Ni1-xZnxFe2O4 nanoparticles synthesized by microwave-assisted combustion method. In APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING. ISSN 0947-8396, 2020, vol. 126, no. 4, 257.

17. [1.1] YOUSAF, M. – AKHTAR, Majid Niaz – WANG, Baoyuan – NOOR, Asma. Preparations, optical, structural, conductive and magnetic evaluations of RE’;s (Pr, Y, Gd, Ho, Yb) doped spinel nanoferrites. In CERAMICS INTERNATIONAL. ISSN 0272-8842, 2020, vol. 46, no. 4, pp. 4280-4288.

 

• 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 Co_1−xZn_xFe₂O₄ 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, karentované – CCC). (2015 – Current Contents, WOS, SCOPUS). ISSN 0304-8853. Dostupné na: https://doi.org/10.1016/j.jmmm.2014.11.027

WOS citations: 20; other citations: 1

1. [1.1] ABRAIME, B. – EL MAALAM, K. – FKHAR, L. – MAHMOUD, A. – BOSCHINI, F. – TAMERD, M.A. – BENYOUSSEF, A. – HAMEDOUN, M. – HLIL, E.K. – ALI, M.A. – EL KENZ, A. – MOUNKACHI, O. Influence of synthesis methods with low annealing temperature on the structural and magnetic properties of CoFe2O4 nanopowders for permanent magnet application. In JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS. ISSN 0304-8853, APR 15 2020, vol. 500.

2. [1.1] ALMESSIERE, M.A. – SLIMANI, Y. – BAYKAL, A. Synthesis and characterization of Co1-2xNixMnxCeyFe2-yO4 nanoparticles. In JOURNAL OF RARE EARTHS. ISSN 1002-0721, FEB 2020, vol. 38, no. 2, p. 188-194.

3. [1.1] ANDHARE, D.D. – PATADE, S.R. – KOUNSALYE, J.S. – JADHAV, K.M. Effect of Zn doping on structural, magnetic and optical properties of cobalt ferrite nanoparticles synthesized via. Co-precipitation method. In PHYSICA B-CONDENSED MATTER. ISSN 0921-4526, APR 15 2020, vol. 583.

4. [1.1] ANWAR, A. – ZULFIQAR, S. – YOUSUF, M.A. – RAGAB, S.A. – KHAN, M.A. – SHAKIR, I. – WARSI, M.F. Impact of rare earth Dy+3 cations on the various parameters of nanocrystalline nickel spinel ferrite. In JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T. ISSN 2238-7854, 2020, vol. 9, no. 3, p. 5313-5325.

5. [1.1] BERA, P. – LAKSHMI, R.V. – PRAKASH, B.H. – TIWARI, K. – SHUKLA, A. – KUNDU, A.K. – BISWAS, K. – BARSHILIA, H.C. Solution combustion synthesis, characterization, magnetic, and dielectric properties of CoFe2O4 and Co0.5M0.5Fe2O4 (M = Mn, Ni, and Zn). In PHYSICAL CHEMISTRY CHEMICAL PHYSICS. ISSN 1463-9076, SEP 21 2020, vol. 22, no. 35, p. 20087-20106.

6. [1.1] DUN, C.W. – XI, G.X. – ZHANG, Y. – HENG, X.Y. – LIU, Y.M. – XING, X.Y. – LIANG, R. Magnetic and magnetostrictive properties of non-stoichiometric cobalt ferrite synthesized from spent Li-ion batteries. In JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS. ISSN 0304-8853, NOV 1 2020, vol. 513.

7. [1.1] FORTAS, N. – BELKAHLA, A. – OUYAHIA, S. – DHAHRI, J. – HLIL, E.K. – TAIBI, K. Effect of Ni substitution on the structural, magnetic and magnetocaloric properties of Zn0.5-xNixMg0.5Fe2O4 (x=0, 0.125 and 0.250) ferrites. In SOLID STATE SCIENCES. ISSN 1293-2558, MAR 2020, vol. 101.

8. [1.1] IMANIPOUR, P. – HASANI, S. – SEIFODDINI, A. – FARNIA, A. – KARIMABADI, F. – JAHANBANI-ARDAKANI, K. – DAVAR, F. The possibility of vanadium substitution on Co lattice sites in CoFe2O4 synthesized by sol-gel autocombustion method. In JOURNAL OF SOL-GEL SCIENCE AND TECHNOLOGY. ISSN 0928-0707, JUL 2020, vol. 95, no. 1, p. 157-167.

9. [1.1] MASTALSKA-POPLAWSKA, J. – SIKORA, M. – IZAK, P. – GORAL, Z. Role of starch in the ceramic powder synthesis: a review. In JOURNAL OF SOL-GEL SCIENCE AND TECHNOLOGY. ISSN 0928-0707, DEC 2020, vol. 96, no. 3, p. 511-520.

10. [1.1] MOHAMMED, M.A. – UDAY, M.B. – IZMAN, S. Effects of calcination temperature and time on the Ca3Co4O9 purity when synthesized using starch-assisted sol-gel combustion method. In JOURNAL OF ADVANCED CERAMICS. ISSN 2226-4108, APR 2020, vol. 9, no. 2, p. 162-172.

11. [1.1] NAM, P.H. – PHUC, N.X. – TUNG, D.K. – NGUYEN, V.Q. – NAM, N.H. – MANH, D.H. – PHONG, P.T. Effect of superparamagnetic interaction on the magnetic heating efficiency of Co 0.3 Zn 0.7 Fe 2 O 4 and Co 0.5 Zn 0.5 Fe 2 O 4 nanoparticles. In PHYSICA B-CONDENSED MATTER. ISSN 0921-4526, AUG 15 2020, vol. 591.

12. [1.1] NIKZAD, A. – PARVIZI, R. Presence of neodymium and gadolinium in cobalt ferrite lattice: Structural, magnetic and microwave features for electromagnetic wave absorbing. In JOURNAL OF RARE EARTHS. ISSN 1002-0721, APR 2020, vol. 38, no. 4, p. 411-417.

13. [1.1] SHARIFIANJAZI, F. – MORADI, M. – PARVIN, N. – NEMATI, A. – RAD, A.J. – SHEYSI, N. – ABOUCHENARI, A. – MOHAMMADI, A. – KARBASI, S. – AHMADI, Z. – ESMAEILKHANIAN, A. – IRANI, M. – PAKSERESHT, A. – SAHMANI, S. – ASL, M.S. Magnetic CoFe2O4 nanoparticles doped with metal ions: A review. In CERAMICS INTERNATIONAL. ISSN 0272-8842, AUG 1 2020, vol. 46, no. 11, B, p. 18391-18412.

14. [1.1] TAATI, H. – MIRZAEE, O. – KOOHESTANI, H. Effect of doping of Zn-Zr binary mixtures on CoFe2-2xZnxZrxO4 (x=0, 0.1, 0.25, 0.5) for the hyperthermia application. In JOURNAL OF ALLOYS AND COMPOUNDS. ISSN 0925-8388, MAY 5 2020, vol. 822.

15. [1.1] VEDRTNAM, A. – KALAUNI, K. – DUBEY, S. – KUMAR, A. A comprehensive study on structure, properties, synthesis and characterization of ferrites. In AIMS MATERIALS SCIENCE. ISSN 2372-0468, 2020, vol. 7, no. 6, p. 800-835.

16. [1.1] VERMA, K. – SHAMIM, M.K. – KUMAR, S. – SHARMA, S. Role of ferrite phase on the structural, ferroelectric and magnetic properties of (1-x) BCT-x CZFO composites. In MATERIALS CHEMISTRY AND PHYSICS. ISSN 0254-0584, NOV 15 2020, vol. 255.

17. [1.1] ZAK, A.K. – SHIRMAND, H. – MOHAMMADI, S. – BANIHASHEMIAN, S.M. Solvothermal synthesis of porous Fe3O4 nanoparticles for humidity sensor application. In MATERIALS RESEARCH EXPRESS. FEB 2020, vol. 7, no. 2.

18. [1.1] ZHANG, W. – SUN, A.M. – PAN, X.G. – HAN, Y.Q. – ZHAO, X.Q. – YU, L.C. – ZUO, Z. – SUO, N.Z.X. Magnetic transformation of Zn-substituted Mg-Co ferrite nanoparticles: Hard magnetism -> soft magnetism. In JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS. ISSN 0304-8853, JUL 15 2020, vol. 506.

19. [1.1] ZHAO, H.T. – LI, X.H. – ZHAO, H. – WANG, Y.L. Synthesis and magnetocaloric effect of co-substituted ZnFe2O4 nanoparticles with polyol method. In MATERIALI IN TEHNOLOGIJE. ISSN 1580-2949, 2020, vol. 54, no. 5, p. 677-682.

20. [1.1] ZHOU, J. – GUO, D.Z. – ZHANG, Y. – RAO, P.G. Combustion synthesis of ZnFe2-xCrxO4 nanocrystallites for ceramic digital decoration. In MATERIALS CHEMISTRY AND PHYSICS. ISSN 0254-0584, APR 1 2020, vol. 244.

21. [3.1] AL-KERSHI, R. – ALDIRHAM, S.H. Altering the properties of the magnetic Co ferrite nanoparticles fabricated by modified inverse coprecipitation for high-frequency applications. In RESEARCH SQUARE, 2020, DOI 10.21203/rs.3.rs-24757/v1.

 

• 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, karentované – CCC). (2012 – Current Contents). ISSN 1063-4584. Dostupné na: https://doi.org/10.1016/j.joca.2012.04.020

WOS citations: 1; SCOPUS citations: 2

1. [1.1] LOCKARD, C.A. – STAKE, I.K. – BRADY, A.W. – DECLERCQ, M.G. – TANGHE, K.K. – DOUGLASS, B.W. – NOTT, E. – HO, Ch.P. – CLANTON, T.O. Accuracy of MRI-Based Talar Cartilage Thickness Measurement and Talus Bone and Cartilage Modeling: Comparison with Ground-Truth Laser Scan Measurements. In CARTILAGE. ISSN 1947-6035, 2020.

2. [1.2] ARINGHIERI, G. – ZAMPA, V. – TOSETTI, M. Musculoskeletal MRI at 7 T: do we need more or is it more than enough? In EUROPEAN RADIOLOGY EXPERIMENTAL. ISSN 2509-9280, 2020, vol. 4, no. 1.

3. [1.2] BORIĆ, I. – MATIŠIĆ, V. – PAVLOVIĆ, T. – CVRTILA, D. Imaging of the articular cartilage repair. In MEDICINA FLUMINENSIS. ISSN 1847-6864, 2020, vol. 56, no. 3, p. 201-209.

 

• 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, karentované – CCC). (2020 – Current Contents). ISSN 0020-9996. Dostupné na: https://doi.org/10.1097/RLI.0000000000000652

WOS citations: 2

1. [1.1] BRINKHOF, S. – FROELING, M. – JANSSEN, R.P.A. – ITO, K. – KLOMP, DW.J. Can sodium MRI be used as a method for mapping of cartilage stiffness? In MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE. ISSN 0968-5243, 2020.

2. [1.1] HAYES, A.J. – MELROSE, J. Aggrecan, the Primary Weight-Bearing Cartilage Proteoglycan, Has Context-Dependent, Cell-Directive Properties in Embryonic Development and Neurogenesis: Aggrecan Glycan Side Chain Modifications Convey Interactive Biodiversity. In BIOMOLECULES, 2020, vol. 10, no. 9.

 

• 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, karentované – CCC). (2015 – Current Contents). ISSN 0020-9996. Dostupné na: https://doi.org/10.1097/RLI.0000000000000117

WOS citations: 2

1. [1.1] BRINKHOF, S. – FROELING, M. – JANSSEN, RP.A. – ITO, K. – KLOMP, D.W.J. Can sodium MRI be used as a method for mapping of cartilage stiffness? In MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE. ISSN 0968-5243, 2020.

2. [1.1] WILCOX, M. – WRIGHT, S.M. – MCDOUGALL, M. A Review of Non-H-1 RF Receive Arrays in Magnetic Resonance Imaging and Spectroscopy. In IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY, 2020, vol. 1, p. 290-300.

 

• 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, karentované – CCC). (2016 – Current Contents). ISSN 0952-3480. Dostupné na: https://doi.org/10.1002/nbm.3280

WOS citations: 7; SCOPUS citations: 2; other citations: 1

1. [1.1] GREZ-CAPDEVILLE, M. – GROSS, N. – BAKER, J.C. – SHUTTER, J.A. – HAAS, A.R. – WILSON, M.E. – CRENSHAW, T.D. Alleged predisposing dietary factors fail to increase the incidence of osteochondrosis-like lesions in growing pigs at 14 and 24 wk of age. In JOURNAL OF ANIMAL SCIENCE. ISSN 0021-8812, APR 2020, vol. 98, no. 4.

2. [1.1] KORDZADEH, A. – DUCHSCHERER, J. – BEAULIEU, C. – STOBBE, R. Radiofrequency excitation-related Na-23 MRI signal loss in skeletal muscle, cartilage, and skin. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, 2020, vol. 83, no. 6, p. 1992-2001.

3. [1.1] MULLER-LUTZ, A. – KAMP, B. – NAGEL, A.M. – LJIMANI, A. – ABRAR, D. – SCHLEICH, C. – WOLLSCHLAGER, L. – NEBELUNG, S. – WITTSACK, H.J. Sodium MRI of human articular cartilage of the wrist: a feasibility study on a clinical 3T MRI scanner. In MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE. ISSN 0968-5243, 2020.

4. [1.1] TANG, Y.H. – MO, Y.F. – XIN, D.W. – ZENG, L.R. – YUE, Z.S. – XU, C.D. Original Article beta-ecdysterone alleviates osteoarthritis by activating autophagy in chondrocytes through regulating PI3K/AKT/mTOR signal pathway. In AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH. ISSN 1943-8141, 2020, vol. 12, no. 11, p. 7174-7186.

5. [1.1] TREUTLEIN, C. – BAUERLE, T. – NAGEL, A.M. – GUERMAZI, A. – KLEYER, A. – SIMON, D. – SCHETT, G. – HEPP, T. – UDER, M. – ROEMER, F.W. Comprehensive assessment of knee joint synovitis at 7T MRI using contrast-enhanced and non-enhanced sequences. In BMC MUSCULOSKELETAL DISORDERS. FEB 21 2020, vol. 21, no. 1.

6. [1.1] WILCOX, M. – WRIGHT, S.M. – MCDOUGALL, M. A Review of Non-H-1 RF Receive Arrays in Magnetic Resonance Imaging and Spectroscopy. In IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY, 2020, vol. 1, p. 290-300.

7. [1.1] ZHAO, J.T. – DUAN, L. – WANG, R.X. – LIU, Y. – JIANG, J.L. Roflumilast prevents lymphotoxin alpha (TNF-beta)-induced inflammation activation and degradation of type 2 collagen in chondrocytes. In INFLAMMATION RESEARCH. ISSN 1023-3830, DEC 2020, vol. 69, no. 12, p. 1191-1199.

8. [1.2] PRITZKER, K.P.H. – GAHUNIA, H.K. Histopathology evaluation of cartilage disease and repair. In ARTICULAR CARTILAGE OF THE KNEE: HEALTH, DISEASE AND THERAPY. Springer, 2020, p. 371-388. ISBN 978-1-4939-7585-3.

9. [1.2] WANG, B. – REN, Z. – YU, N. – ZHANG, X. – JIA, Y. – HE, T. Application progresses of MRI in evaluating different lesions of knee osteoarthritis. In CHINESE JOURNAL OF MEDICAL IMAGING TECHNOLOGY. ISSN 1003-3289, 2020, vol. 36, no. 9, p. 1383-1387.

10. [3.1] WILFERTH, T. – GAST, L.V. – LACHNER, S. – BEHL, N.G.R. – SCHMIDT, M. – DÖRFLER, A. – UDER, M. – NAGEL, A.M. X-Nuclei MRI on a 7T MAGNETOM Terra: Initial Experiences. In MAGNETOM FLASH. ISSN 1023-0521, 2020, vol. 76, no. 1, p. 45-51.

 

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

 

• FARKAŠOVÁ, T. – GURSKÁ, S. – WITKOVSKÝ, Viktor – GÁBELOVÁ, A. Significance of amino acid substitution variants of DNA repair genes in radiosusceptibility of cervical cancer patients; a pilot study. In Neoplasma, 2008, vol. 55, no. 4, p. 330-337. (2007: 1.208 – IF, Q4 – JCR, 0.527 – SJR, Q3 – SJR, karentované – CCC). (2008 – Current Contents). ISSN 0028-2685.

WOS citations: 1

1. [1.1] SHI, Y. – XU, W. – ZHANG, X. Association of the hOGG1 Ser326Cys polymorphism with gynecologic cancer susceptibility: a meta-analysis. In BIOSCIENCE REPORTS. ISSN 0144-8463, 2020, vol. 40.

 

• CHVOSTEKOVÁ, Martina. Multiple use confidence intervals for a univariate statistical calibration. In Measurement Science Review, 2019, vol. 19, no. 6, p. 264-270. (2018: 1.122 – IF, Q4 – JCR, 0.325 – SJR, Q2 – SJR, karentované – CCC). (2019 – Current Contents). ISSN 1335-8871. Dostupné na: https://doi.org/10.2478/msr-2019-0034

WOS citations: 1

1. [1.1] ZHAO, G. – XU, X. The information domain confidence intervals in univariate linear calibration. In COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION. ISSN 0361-0918, 2020.

 

• KRAFČÍK, Andrej – BABINEC, P. – BABINCOVÁ, M. – FROLLO, Ivan. Importance of basset history force for the description of magnetically driven motion of magnetic particles in air. In Measurement Science Review, 2020, vol. 20, no. 2, p. 50-58. (2019: 0.900 – IF, Q4 – JCR, 0.326 – SJR, Q3 – SJR, karentované – CCC). (2020 – Current Contents). ISSN 1335-8871. Dostupné na: https://doi.org/10.2478/msr-2020-0007

WOS citations: 1; other citations: 1

1. [1.1] PREMLATA, A.R. – WEI, H.-H. Atypical non-Basset particle dynamics due to hydrodynamic slip. In PHYSICS OF FLUIDS. ISSN 1070-6631, 2020, vol. 32, no. 9.

2. [3.1] MILYKH, V. – SHILKOVA, L. Theory and practice of analysis of electromagnetic quantities and their phase relationships in a three-phase magnetic field inductor. In SCIENCES OF EUROPE. ISSN 3162-2364, 2020, vol. 48, p. 55-56.

 

• 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, karentované – CCC). (2020 – Current Contents). ISSN 1335-8871. Dostupné na: https://doi.org/10.2478/msr-2020-0001

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

1. [1.1] KAMPCZYK, A. An Innovative Approach to Surveying the Geometry of Visibility Triangles at Railway Level Crossings. In SENSORS. NOV 2020, vol. 20, no. 22.

2. [1.2] SAPOZHNIKOVA, K. – TAYMANOV, R. – KOSTROMINA, S. On the Eve of the new leap in measurement science. In JOURNAL OF PHYSICS: CONFERENCE SERIES. ISSN 1742-6588, 2020, vol. 1703, no. 1.

3. [2.1] XU, G. – SHEN, H. – LI, X.T. Active Vision Reconstruction Based on Ratio Invariability of Triangle Areas Generated from Triangle Array in Affine Space. In MEASUREMENT SCIENCE REVIEW. ISSN 1335-8871, AUG 2020, vol. 20, no. 4, p. 162-170.

4. [3.1] SAPOZHNIKOVA, K.V. – TAYMANOV, R.Y. – KOSTROMINA, S.N. Widening borders of measurable is a problem of the XXIst century. In SOFT MEASUREMENTS AND COMPUTING. ISSN 2618-9976, 2020, vol. 37, no. 12, p. 31-44.

 

Scientific papers in foreign impacted journals registered in Web of Sciences or 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). ISSN 1664-042X. Dostupné na: https://doi.org/10.3389/fphys.2018.01305

WOS citations: 11; SCOPUS citations: 1; other citations: 1

1. [1.1] CAULIER-CISTERNA, R. – BLANCO-VELASCO, M. – GOYA-ESTEBAN, R. – MUNOZ-ROMERO, S. – SANROMAN-JUNQUERA, M. – GARCIA-ALBEROLA, A. – ROJO-ALVAREZ, J.L. Spatial-Temporal Signals and Clinical Indices in Electrocardiographic Imaging (II): Electrogram Clustering and T-Wave Alternans. In SENSORS. JUN 2020, vol. 20, no. 11.

2. [1.1] CAULIER-CISTERNA, R. – SANROMAN-JUNQUERA, M. – MUNOZ-ROMERO, S. – BLANCO-VELASCO, M. – GOYA-ESTEBAN, R. – GARCIA-ALBEROLA, A. – ROJO-ALVAREZ, J.L. Spatial-Temporal Signals and Clinical Indices in Electrocardiographic Imaging (I): Preprocessing and Bipolar Potentials. In SENSORS. JUN 2020, vol. 20, no. 11.

3. [1.1] GRAHAM, A.J. – ORINI, M. – ZACUR, E. – DHILLON, G. – DAW, H. – SRINIVASAN, N.T. – MARTIN, C. – LANE, J. – MANSELL, J.S. – CAMBRIDGE, A. – GARCIA, J. – PUGLIESE, F. – SEGAL, O. – AHSAN, S. – LOWE, M. – FINLAY, M. – EARLEY, M.J. – CHOW, A. – SPORTON, S. – DHINOJA, M. – HUNTER, R.J. – SCHILLING, R.J. – LAMBIASE, P.D. Evaluation of ECG Imaging to Map Hemodynamically Stable and Unstable Ventricular Arrhythmias. In CIRCULATION-ARRHYTHMIA AND ELECTROPHYSIOLOGY. ISSN 1941-3149, FEB 2020, vol. 13, no. 2.

4. [1.1] GRANDITS, T. – GILLETTE, K. – NEIC, A. – BAYER, J. – VIGMOND, E. – POCK, T. – PLANK, G. An inverse Eikonal method for identifying ventricular activation sequences from epicardial activation maps. In JOURNAL OF COMPUTATIONAL PHYSICS. ISSN 0021-9991, OCT 15 2020, vol. 419.

5. [1.1] HOYLAND, P. – HAMMACHE, N. – BATTAGLIA, A. – OSTER, J. – FELBLINGER, J. – DE CHILLOU, C. – ODILLE, F. A Paced-ECG Detector and Delineator for Automatic Multi-Parametric Catheter Mapping of Ventricular Tachycardia. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 223952-223960.

6. [1.1] NG, F.S. – HANDA, B.S. – LI, X.Y. – PETERS, N.S. Toward Mechanism-Directed Electrophenotype-Based Treatments for Atrial Fibrillation. In FRONTIERS IN PHYSIOLOGY. ISSN 1664-042X, AUG 28 2020, vol. 11.

7. [1.1] PARREIRA, L. – CARMO, P. – ADRAGAO, P. – NUNES, S. – SOARES, A. – MARINHEIRO, R. – BUDANOVA, M. – ZUBAREV, S. – CHMELEVSKY, M. – PINHO, J. – FERREIRA, A. – CAVACO, D. – MARQUES, H. – GONCALVES, P.A. Electrocardiographic imaging (ECGI): What is the minimal number of leads needed to obtain a good spatial resolution?. In JOURNAL OF ELECTROCARDIOLOGY. ISSN 0022-0736, SEP-OCT 2020, vol. 62, p. 86-93.

8. [1.1] PEREIRA, H. – NIEDERER, S. – RINALDI, C.A. Electrocardiographic imaging for cardiac arrhythmias and resynchronization therapy. In EUROPACE. ISSN 1099-5129, OCT 2020, vol. 22, no. 10, p. 1447-1462.

9. [1.1] PEREZ-ALDAY, E.A. – HAQ, K.T. – GERMAN, D.M. – HAMILTON, C. – JOHNSON, K. – PHAN, F. – ROGOVOY, N.M. – YANG, K. – WIRTH, A. – THOMAS, J.A. – DALOUK, K. – FUSS, C. – FERENCIK, M. – HEITNER, S. – TERESHCHENKO, L.G. Mechanisms of Arrhythmogenicity in Hypertrophic Cardiomyopathy: Insight From Non-invasive Electrocardiographic Imaging. In FRONTIERS IN PHYSIOLOGY. ISSN 1664-042X, APR 24 2020, vol. 11.

10. [1.1] VAVERKA, J. – MOUDR, J. – LOKAJ, P. – BURSA, J. – PASEK, M. Impact of Decreased Transmural Conduction Velocity on the Function of the Human Left Ventricle: A Simulation Study. In BIOMED RESEARCH INTERNATIONAL. ISSN 2314-6133, APR 4 2020, vol. 2020.

11. [1.1] WANG, H. – WANG, Y. Spatial-dependent regularization to solve the inverse problem in electromyometrial imaging. In MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING. ISSN 0140-0118, AUG 2020, vol. 58, no. 8, p. 1651-1665.

12. [1.2] GALLI, A. – RIZZO, A. – MONACO, C. – SALGHETTI, F. – SCALA, O. – CHIERCHIA, G.B. – LA MEIR, M. – BRUGADA, P. – DE ASMUNDIS, C. Electrocardiographic imaging of the arrhythmogenic substrate of Brugada syndrome: Current evidence and future perspectives. In TRENDS IN CARDIOVASCULAR MEDICINE. ISSN 1050-1738, 2020.

13. [3.1] OBERGASSEL, J. – CAZZOLI, I. – GUARGUAGLI, S. – NAGARAJAN, V.D. – ERNST, S. Noninvasive 3D Mapping and Ablation of Epicardial Premature Ventricular Contractions From the Endocardial Aspect of the Left Atrial Appendage. In JACC: CASE REPORTS. ISSN 2666-0849, 2020, vol. 2, no. 11, p. 1776-1780.

 

• CHVOSTEKOVÁ, Martina. Simultaneous two-sided tolerance intervals for a univariate linear regression model. In Communications in Statistics : Theory and Methods, 2013, vol. 42, no. 7, p. 1145-1152. (2012: 0.298 – IF, Q4 – JCR, 0.467 – SJR). ISSN 0361-0926. Dostupné na: https://doi.org/10.1080/03610926.2012.724502

WOS citations: 1

1. [1.1] SUN, L. – LIU, X. Optoelectronic Hybrid Network Architecture and Its Performance Analysis. In JOURNAL OF NANOELECTRONICS AND OPTOELECTRONICS. ISSN 1555-130X, 2020, vol. 15, no. 7, p. 831-840.

 

• KLEPOCHOVÁ, R. – VALKOVIČ, Ladislav – HOCHWARTNER, T. – TRISKA, C. – BACHL, N. – TRATTNIG, S. – KREBS, M. – KRŠŠÁK, M. Differences in muscle metabolism between triathletes and normally active volunteers investigated using multinuclear magnetic resonance spectroscopy at 7T. In Frontiers in Physiology, 2018, vol. 9, art. no. 300. (2017: 3.394 – IF, Q1 – JCR, 1.590 – SJR, Q1 – SJR). ISSN 1664-042X. Dostupné na: https://doi.org/10.3389/fphys.2018.00300

WOS citations: 1

1. [1.1] MONTULL, L. – VAZQUEZ, P. – HRISTOVSKI, R. – BALAGUE, N. Hysteresis behaviour of psychobiological variables during exercise. In PSYCHOLOGY OF SPORT AND EXERCISE. ISSN 1469-0292, 2020, vol. 48.

 

• 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). ISSN 2076-3921. Dostupné na: https://doi.org/10.3390/antiox9020096

WOS citations: 2

1. [1.1] JAGGERS, G.K. – WATKINS, B.A. – RODRIGUEZ, R.L. COVID-19: repositioning nutrition research for the next pandemic. In NUTRITION RESEARCH. ISSN 0271-5317, SEP 2020, vol. 81, p. 1-6.

2. [1.1] ORACZ, J. – ZYZELEWICZ, D. Antioxidants in Cocoa. In ANTIOXIDANTS. DEC 2020, vol. 9, no. 12, art. no. 1230.

 

• KOVÁŘOVÁ, K. – ŠEVČÍK, Robert – WEISHAUPTOVÁ, Z. Comparison of mercury porosimetry and X-ray microtomography for porosity study of sandstones. In Acta Geodynamica et Geomaterialia, 2012, vol. 9, no. 4, p. 541-549. (2011: 0.530 – IF, Q2 – JCR, 0.267 – SJR, Q2 – SJR). ISSN 1214-9705.

WOS citations: 1

1. [1.1] KOUDELKA, P. – FILA, T. – RADA, V. – ZLAMAL, P. – SLEICHRT, J. – VOPALENSKY, M. – KUMPOVA, I. – BENES, P. – VAVRIK, D. – VAVRO, L. – VAVRO, M. – DRDACKY, M. – KYTYR, D. In-situ X-ray Differential Micro-tomography for Investigation of Water-weakening in Quasi-brittle Materials Subjected to Four-point Bending. In MATERIALS, 2020, vol. 13, no. 6.

 

• 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). ISSN 0269-8803. Dostupné na: https://doi.org/10.1027/0269-8803/a000092

WOS citations: 2

1. [1.1] MULLINS, A.E. – KAM, K. – PAREKH, A. – BUBU, O.M. – OSORIO, R.S. – VARGA, A.W. Obstructive Sleep Apnea and Its Treatment in Aging: Effects on Alzheimer’;s disease Biomarkers, Cognition, Brain Structure and Neurophysiology. In NEUROBIOLOGY OF DISEASE. ISSN 0969-9961, 2020, vol. 145.

2. [1.1] WALL, J. – XIE, H. – WANG, X. Interaction of Sleep and Cortical Structural Maintenance From an Individual Person Microlongitudinal Perspective and Implications for Precision Medicine Research. In FRONTIERS IN NEUROSCIENCE, 2020, vol. 14.

 

• 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). ISSN 1662-5161. Dostupné na: https://doi.org/10.3389/fnhum.2016.00182

WOS citations: 8

1. [1.1] ARENDSEN, L.J. – HENSHAW, J. – BROWN, C.A. – SIVAN, M. – TAYLOR, J.R. – TRUJILLO-BARRETO, N.J. – CASSON, A.J. – JONES, A.K.P. Entraining Alpha Activity Using Visual Stimulation in Patients With Chronic Musculoskeletal Pain: A Feasibility Study. In FRONTIERS IN NEUROSCIENCE. AUG 20 2020, vol. 14.

2. [1.1] BLACK, C.J. Intracortical Localization of a Promising Pain Biomarker. In JOURNAL OF NEUROSCIENCE. ISSN 0270-6474, DEC 9 2020, vol. 40, no. 50, p. 9549-9551.

3. [1.1] GOUREVITCH, B. – MARTIN, C. – POSTAL, O. – EGGERMONT, J.J. Oscillations in the auditory system and their possible role. In NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS. ISSN 0149-7634, JUN 2020, vol. 113, p. 507-528.

4. [1.1] HEID, C. – MOURAUX, A. – TREEDE, R.D. – SCHUH-HOFER, S. – RUPP, A. – BAUMGARTNER, U. Early gamma-oscillations as correlate of localized nociceptive processing in primary sensorimotor cortex. In JOURNAL OF NEUROPHYSIOLOGY. ISSN 0022-3077, MAY 2020, vol. 123, no. 5, p. 1711-1726.

5. [1.1] HUANG, Y.H. – JIAO, J. – HU, J.Y. – HSING, C.C. – LAI, Z.Q. – YANG, Y. – HU, X.L. Measurement of sensory deficiency in fine touch after stroke during textile fabric stimulation by electroencephalography (EEG). In JOURNAL OF NEURAL ENGINEERING. ISSN 1741-2560, AUG 2020, vol. 17, no. 4.

6. [1.1] JIAO, J. – HU, X.L. – HUANG, Y.H. – HU, J.Y. – HSING, C. – LAI, Z.Q. – WONG, C. – XIN, J.H. Neuro-perceptive discrimination on fabric tactile stimulation by Electroencephalographic (EEG) spectra. In PLOS ONE. ISSN 1932-6203, OCT 28 2020, vol. 15, no. 10.

7. [1.1] KIM, J.A. – DAVIS, K.D. Neural Oscillations: Understanding a Neural Code of Pain. In NEUROSCIENTIST. ISSN 1073-8584, 2020.

8. [1.1] PORTNOVA, G.V. – PROSKURNINA, E.V. – SOKOLOVA, S.V. – SKOROKHODOV, I.V. – VARLAMOV, A.A. Perceived pleasantness of gentle touch in healthy individuals is related to salivary oxytocin response and EEG markers of arousal. In EXPERIMENTAL BRAIN RESEARCH. ISSN 0014-4819, OCT 2020, vol. 238, no. 10, p. 2257-2268.

 

• 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). ISSN 1664-042X. Dostupné na: https://doi.org/10.3389/fphys.2017.00265

WOS citations: 2; SCOPUS citations: 1

1. [1.1] COSTABAL, F.S. – YANG, Y.B. – PERDIKARIS, P. – HURTADO, D.E. – KUHL, E. Physics-Informed Neural Networks for Cardiac Activation Mapping. In FRONTIERS IN PHYSICS. ISSN 2296-424X, FEB 28 2020, vol. 8.

2. [1.1] GRANDITS, T. – GILLETTE, K. – NEIC, A. – BAYER, J. – VIGMOND, E. – POCK, T. – PLANK, G. An inverse Eikonal method for identifying ventricular activation sequences from epicardial activation maps. In JOURNAL OF COMPUTATIONAL PHYSICS. ISSN 0021-9991, OCT 15 2020, vol. 419.

3. [1.2] GANELLARI, D. – HAASE, G. – ZUMBUSCH, G. – LOTZ, J. – PELTZER, P. – LEPPKES, K. – NAUMANN, U. Patient-specific cardiac parametrization from eikonal simulations. In INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE. ISSN 0302-9743, 2020, 12137 LNCS, p. 290-303.

 

• 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). ISSN 1392-1215. Dostupné na: https://doi.org/10.5755/j01.eee.19.8.1739

SCOPUS citations: 2; other citations: 1

1. [1.2] NEMA, B.M. Automatic passkey generator using speech biometric features. In AIP CONFERENCE PROCEEDINGS. ISSN 0094-243X, 2020, vol. 2290, p. 0027417.

2. [1.2] TYKALOVA, T. – SKRABAL, D. – BORIL, T. – CMEJLA, R. – VOLIN, J. – RUSZ, J. Effect of Ageing on Acoustic Characteristics of Voice Pitch and Formants in Czech Vowels. In JOURNAL OF VOICE. ISSN 0892-1997, 2020.

3. [3.1] TRABELSI, I. – BOUHLEL, M.S. Comparison of Several Acoustic Modeling Techniques for Speech Emotion Recognition. In COGNITIVE ANALYTICS: CONCEPTS, METHODOLOGIES, TOOLS, AND APPLICATIONS. Information Resources Management Association, 2020, ISBN 9781799824602, pp. 283-293.

 

• 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). ISSN 1424-8220. Dostupné na: https://doi.org/10.3390/s19194198

WOS citations: 1

1. [1.1] FLOR, D. – PENA, D. – PENA, L. – DE SOUSA JR, V.A. – MARTINS, A. Characterization of Noise Level Inside a Vehicle under Different Conditions. In SENSORS, 2020, vol. 20, no. 9.

 

• 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). ISSN 1932-6203. Dostupné na: https://doi.org/10.1371/journal.pone.0185356

WOS citations: 11; SCOPUS citations: 2

1. [1.1] GARRISON, L. – VASICEK, J. – CRAVEN, A.R. – GRUNER, R. – SMIT, N.N. – BRUCKNER, S. Interactive visual exploration of metabolite ratios in MR spectroscopy studies. In COMPUTERS & GRAPHICS-UK. ISSN 0097-8493, NOV 2020, vol. 92, p. 1-12.

2. [1.1] JAYASWAL, A.N.A. – LEVICK, C. – COLLIER, J. – TUNNICLIFFE, E.M. – KELLY, M.D. – NEUBAUER, S. – BARNES, E. – PAVLIDES, M. Liver cT(1) decreases following direct-acting antiviral therapy in patients with chronic hepatitis C virus. In ABDOMINAL RADIOLOGY. ISSN 2366-004X, 2020.

3. [1.1] JAYASWAL, A.N.A. – LEVICK, C. – SELVARAJ, E.A. – DENNIS, A. – BOOTH, J.C. – COLLIER, J. – COBBOLD, J. – TUNNICLIFFE, E.M. – KELLY, M. – BARNES, E. – NEUBAUER, S. – BANERJEE, R. – PAVLIDES, M. Prognostic value of multiparametric magnetic resonance imaging, transient elastography and blood-based fibrosis markers in patients with chronic liver disease. In LIVER INTERNATIONAL. ISSN 1478-3223, DEC 2020, vol. 40, no. 12, p. 3071-3082.

4. [1.1] KERR, M. – MILLER, J.J. – THAPA, D. – STIEWE, S. – TIMM, K.N. – APARICIO, C.N.M. – SCOTT, I. – TYLER, D.J. – HEATHER, L.C. Rescue of myocardial energetic dysfunction in diabetes through the correction of mitochondrial hyperacetylation by honokiol. In JCI INSIGHT. SEP 3 2020, vol. 5, no. 17.

5. [1.1] KREIS, F. – WRIGHT, A.J. – HESSE, F. – FALA, M. – HU, D.E. – BRINDLE, K.M. Measuring Tumor Glycolytic Flux in Vivo by Using Fast Deuterium MRI. In RADIOLOGY. ISSN 0033-8419, FEB 2020, vol. 294, no. 2, p. 289-296.

6. [1.1] OELTZSCHNER, G. – ZOLLNER, H.J. – HUI, S.C.N. – MIKKELSEN, M. – SALEH, M.G. – TAPPER, S. – EDDEN, R.A.E. Osprey: Open-source processing, reconstruction & estimation of magnetic resonance spectroscopy data. In JOURNAL OF NEUROSCIENCE METHODS. ISSN 0165-0270, SEP 1 2020, vol. 343.

7. [1.1] PARRY, S.N.A. – ROSQVIST, F. – MOZES, F.E. – CORNFIELD, T. – HUTCHINSON, M. – PICHE, M.E. – HULSMEIER, A.J. – HORNEMANN, T. – DYSON, P. – HODSON, L. Intrahepatic Fat and Postprandial Glycemia Increase After Consumption of a Diet Enriched in Saturated Fat Compared With Free Sugars. In DIABETES CARE. ISSN 0149-5992, MAY 2020, vol. 43, no. 5, p. 1134-1141.

8. [1.1] RIDER, O.J. – APPS, A. – MILLER, J.J.J.J. – LAU, J.Y.C. – LEWIS, A.J.M. – PETERZAN, M.A. – DODD, M.S. – LAU, A.Z. – TRUMPER, C. – GALLAGHER, F.A. – GRIST, J.T. – BRINDLE, K.M. – NEUBAUER, S. – TYLER, D.J. Noninvasive In Vivo Assessment of Cardiac Metabolism in the Healthy and Diabetic Human Heart Using Hyperpolarized C-13 MRI. In CIRCULATION RESEARCH. ISSN 0009-7330, MAR 13 2020, vol. 126, no. 6, p. 725-736.

9. [1.1] ROAT, S. – VIT, M. – WAMPL, S. – SCHMID, A.I. – LAISTLER, E. A Flexible Array for Cardiac P-31 MR Spectroscopy at 7 T. In FRONTIERS IN PHYSICS. ISSN 2296-424X, APR 15 2020, vol. 8.

10. [1.1] SANTOS-DIAZ, A. – NOSEWORTHY, M.D. Phosphorus magnetic resonance spectroscopy and imaging (P-31-MRS/MRSI) as a window to brain and muscle metabolism: A review of the methods. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, JUL 2020, vol. 60.

11. [1.1] WATSON, W.D. – TIMM, K.N. – LEWIS, A.J. – MILLER, J.J.J. – EMMANUEL, Y. – CLARKE, K. – NEUBAUER, S. – TYLER, D.J. – RIDER, O.J. Nicotinic acid receptor agonists impair myocardial contractility by energy starvation. In FASEB JOURNAL. ISSN 0892-6638, NOV 2020, vol. 34, no. 11, p. 14878-14891.

12. [1.2] BHADURI, S. – CHAHID, A. – ACHTEN, E. – LALEG-KIRATI, T.M. – SERRAI, H. SCSA based MATLAB pre-processing toolbox for 1H MR spectroscopic water suppression and denoising. In INFORMATICS IN MEDICINE UNLOCKED. ISSN 2352-9148, 2020, vol. 18.

13. [1.2] GARRISON, L. – VAŠÍČEK, J. – GRÜNER, R. – SMIT, N.N. – BRUCKNER, S. SpectraMosaic: An exploratory tool for the interactive visual analysis of magnetic resonance spectroscopy data. In EUROGRAPHICS WORKSHOP ON VISUAL COMPUTING FOR BIOLOGY AND MEDICINE, VCBM 2019, 2019.

 

• 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). ISSN 0026-1335. Dostupné na: https://doi.org/10.1007/s001840300299

WOS citations: 1

1. [1.1] HANCOVA, M. – GAJDOS, A. – HANC, J. – VOZARIKOVA, G. Estimating variances in time series kriging using convex optimization and empirical BLUPs. In STATISTICAL PAPERS. ISSN 0932-5026, 2020.

 

• 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). ISSN 1932-6203. Dostupné na: https://doi.org/10.1371/journal.pone.0187153

WOS citations: 4

1. [1.1] AHMAD, S.F. – KIM, Y.C. – CHOI, I.C. – KIM, H.D. Recent Progress in Birdcage RF Coil Technology for MRI System. In DIAGNOSTICS, 2020, vol. 10, no. 12.

2. [1.1] RIVERA, D. – KALLEVEEN, I. – DE CASTRO, C.A. – VAN LAARHOVEN, H. – KLOM, D. – VAN DER KEMP, W. – STOKER, J. – NEDERVEEN, A. Inherently decoupled H-1 antennas and P-31 loops for metabolic imaging of liver metastasis at 7 T. In NMR IN BIOMEDICINE. ISSN 0952-3480, 2020, vol. 33, no. 4.

3. [1.1] ROAT, S. – VIT, M. – WAMPL, S. – SCHMID, A.I. – LAISTLER, E. A Flexible Array for Cardiac P-31 MR Spectroscopy at 7 T. In FRONTIERS IN PHYSICS. ISSN 2296-424X, 2020, vol. 8.

4. [1.1] WILCOX, M. – WRIGHT, S.M. – MCDOUGALL, M. A Review of Non-H-1 RF Receive Arrays in Magnetic Resonance Imaging and Spectroscopy. In IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY, 2020, vol. 1, p. 290-300.

 

• WIMMER, G. – WITKOVSKÝ, Viktor. Univariate linear calibration via replicated errors-in-variables model. In Journal of Statistical Computation and Simulation, 2007, vol. 77, no. 3, p. 213-227. (2006: 0.215 – IF, Q4 – JCR, 0.327 – SJR, Q3 – SJR). ISSN 0094-9655. Dostupné na: https://doi.org/10.1080/10629360600679433

SCOPUS citations: 1

1. [1.2] RÁBONOVÁ, P. Impact of dispersion of measurement on estimation of polynomial calibration function coefficients. In AIP CONFERENCE PROCEEDINGS. ISSN 0094-243X, 2020, vol. 2293.

 

• 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). ISSN 0378-3758. Dostupné na: https://doi.org/10.1016/S0378-3758(00)00208-1

WOS citations: 2

1. [1.1] BAZYARI, A. – AFSHARI, M. – SAMUH, M.H. An Asymptotic Two-Sided Test in a Family of Multivariate Distribution. In JOURNAL OF STATISTICAL THEORY AND APPLICATIONS. ISSN 1538-7887, 2020, vol. 19, no. 2, p. 162-172.

2. [1.1] ZHAO, J. – KIM, S.-B. – KIM, S.-J. – KIM, H.-M. Simple New Proofs of the Characteristic Functions of the F and Skew-Normal Distributions. In SYMMETRY-BASEL, 2020, vol. 12, no. 12.

 

• 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). ISSN 0266-4763. Dostupné na: https://doi.org/10.1080/02664763.2019.1675608

WOS citations: 1; other citations: 2

1. [1.1] STEHLIK, M. – GRILO, L.M. – JORDANOVA, P.K. Editorial to special issue V WCDANM 2018. In JOURNAL OF APPLIED STATISTICS. ISSN 0266-4763, 2020, vol. 47, no. 13-15, p. 2289-2298.

2. [3.1] MANIK, T.K. – SAMBODO, D.R.J. – SAPUTRA, D. Effect of Rainfall Intensity on Glyphosate Herbicide Effectiveness in Controlling Ageratum conyzoides, Rottboellia exaltata, and Cyperus rotundus Weeds. In AGROMET. ISSN 0126-3633, 2020, vol. 34, no. 1, p. 11-19.

3. [3.1] ŽEŽULA, I. – KLEIN, D. – ROY, A. Mean Value Test for Three-Level Multivariate Observations with Doubly Exchangeable Covariance Structure. In RECENT DEVELOPMENTS IN MULTIVARIATE AND RANDOM MATRIX ANALYSIS. Springer, 2020, p. 335-349. ISBN 978-3-030-56772-9.

 

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. ISSN 1752-7155. Dostupné na: https://doi.org/10.1088/1752-7155/2/3/037007

SCOPUS citations: 1

1. [1.2] JIA, Y. – ZHENG, X. – GAO, K. – GUAN, J. – WEI, P. – QI, B. – ZHENG, H. Field investigation on human related VOCs in existing buildings in one university. In HUAGONG XUEBAO/CIESC JOURNAL. ISSN 0438-1157, 2020, vol. 71, p. 411-416.

 

• 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). ISSN 2325-8861. Dostupné na: https://doi.org/10.22489/CinC.2018.070

WOS citations: 2

1. [1.1] CAULIER-CISTERNA, R. – BLANCO-VELASCO, M. – GOYA-ESTEBAN, R. – MUNOZ-ROMERO, S. – SANROMAN-JUNQUERA, M. – GARCIA-ALBEROLA, A. – ROJO-ALVAREZ, J.L. Spatial-Temporal Signals and Clinical Indices in Electrocardiographic Imaging (II): Electrogram Clustering and T-Wave Alternans. In SENSORS. JUN 2020, vol. 20, no. 11.

2. [1.1] PARREIRA, L. – CARMO, P. – ADRAGAO, P. – NUNES, S. – SOARES, A. – MARINHEIRO, R. – BUDANOVA, M. – ZUBAREV, S. – CHMELEVSKY, M. – PINHO, J. – FERREIRA, A. – CAVACO, D. – MARQUES, H. – GONCALVES, P.A. Electrocardiographic imaging (ECGI): What is the minimal number of leads needed to obtain a good spatial resolution?. In JOURNAL OF ELECTROCARDIOLOGY. ISSN 0022-0736, SEP-OCT 2020, vol. 62, p. 86-93.

 

• COCHEROVÁ, Elena – ŠVEHLÍKOVÁ, Jana – TYŠLER, Milan. Activation propagation in cardiac ventricles using the model with the conducting system. In IFMBE Proceedings, 2019, vol. 68, no. 1, p. 799-802. (2018: 0.150 – SJR). ISSN 1680-0737. Dostupné na: https://doi.org/10.1007/978-981-10-9035-6_147

SCOPUS citations: 1

1. [1.2] TALAMINOS-BARROSO, A. – REINA-TOSINA, J. – ROA-ROMERO, L.M. Models based on cellular automata for the analysis of biomedical systems. In CONTROL APPLICATIONS FOR BIOMEDICAL ENGINEERING SYSTEMS, 2020, p. 405-445.

 

• DOGRUSOZ, Y.S. – BEAR, L. – ŠVEHLÍKOVÁ, Jana – GOOD, W. – COLL-FONT, J. – VAN DAM, E. – DUBOIS, R. – MACLEOD, R. Reduction of effects of noise on the inverse problem of electrocardiography with Bayesian estimation. In Computing in Cardiology, 2018, vol. 45, 4 p. (2017: 0.191 – SJR). ISSN 2325-8861. Dostupné na: https://doi.org/10.22489/CinC.2018.309

WOS citations: 1; other citations: 1

1. [1.1] MOHADDES, F. – DA SILVA, R.L. – AKBULUT, F.P. – ZHOU, Y. – TANNEERU, A. – LOBATON, E. – LEE, B. – MISRA, V. A Pipeline for Adaptive Filtering and Transformation of Noisy Left-Arm ECG to Its Surrogate Chest Signal. In ELECTRONICS, 2020, vol. 9, no. 5.

2. [3.1] MOHADDES, F. – DA SILVA, R.L. – AKBULUT, F.T. – ZHOU, Y. – TANNEERU, A. – LOBATON, E. – LEE, B. – MISRA, V. A Pipeline for Adaptive Filtering and Transformation of Noisy Left-Arm ECG to Its Surrogate Chest Signal. In ELECTRONICS. ISSN 2079-9292, 2020, vol. 9, p. 866.

 

• 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. ISSN 1757-2754. Dostupné na: https://doi.org/10.1504/IJMATEI.2009.024024

WOS citations: 1

1. [1.1] CAPPELLO, J. – D’;HERBEMONT, V. – LINDNER, A. – DU ROURE, O. Microfluidic In-Situ Measurement of Poisson’;s Ratio of Hydrogels. In MICROMACHINES, 2020, vol. 11, no. 3.

 

• GRENDÁR, Marián – JUDGE, G. Empty set problem of maximum empirical likelihood methods. In Electronic Journal of Statistics, 2009, vol. 3, p. 1542-1555. ISSN 1935-7524. Dostupné na: https://doi.org/10.1214/09-EJS528

Other citations: 1

1. [3.1] ZHANG, A.G. – ZHU, G. – CHEN, J. Empirical Likelihood Ratio Test on quantiles under a Density Ratio Model. In arXiv:2007.10586 [math.ST], 2020.

 

• CHUDÝ, Lucius – FARKAŠ, Igor. Prediction of chaotic time-series using dynamic cell structures and local linear models. In Neural Network World, 1998, vol. 8, no. 5, p. 481-490.

WOS citations: 1

1. [1.1] USTUNDAG, B.B. – KULAGLIC, A. High-Performance Time Series Prediction With Predictive Error Compensated Wavelet Neural Networks. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 210532-210541.

 

• 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). ISSN 0899-3459. Dostupné na: https://doi.org/10.1097/RMR.0000000000000205

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

1. [1.1] EBRAHIMKHANI, S. – JAWARD, M.H. – CICUTTINI, F.M. – DHARMARATNE, A. – WANG, Y. – DE HERRERA, A.G.S. A review on segmentation of knee articular cartilage: from conventional methods towards deep learning. In ARTIFICIAL INTELLIGENCE IN MEDICINE. ISSN 0933-3657, 2020, vol. 106.

2. [1.1] GRANT, A. – METZGER, G.J. – VAN DE MOORTELE, P.-F. – ADRIANY, G. – OLMAN, C. – ZHANG, L. – KOOPERMEINERS, J. – ERYAMAN, Y. – KOERITZER, M. – ADAMS, M.E. – HENRY, T.R. – UGURBIL, K. 10.5 T MRI static field effects on human cognitive, vestibular, and physiological function. In MAGNETIC RESONANCE IMAGING. ISSN 0730-725X, 2020, vol. 73, p. 163-176.

3. [1.1] MALATTIA, C. – TOLEND, M. – MAZZONI, M. – PANWAR, J. – ZLOTNIK, M. – OTOBO, T. – VIDARSSON, L. – DORIA, A.S. Current status of MR imaging of juvenile idiopathic arthritis. In BEST PRACTICE & RESEARCH IN CLINICAL RHEUMATOLOGY. ISSN 1521-6942, 2020, vol. 34, no. 6.

4. [1.1] NASRI MARZUCA-NASSR, G. – SANMARTIN-CALISTO, Y. – GUERRA-VEGA, P. – ARTIGAS-ARIAS, M. – ALEGRIA, A. – CURI, R. Skeletal Muscle Aging Atrophy: Assessment and Exercise-Based Treatment. In REVIEWS ON NEW DRUG TARGETS IN AGE-RELATED DISORDERS. ISSN 0065-2598, 2020, vol. 1260, p. 123-158.

5. [1.2] ARINGHIERI, G. – ZAMPA, V. – TOSETTI, M. Musculoskeletal MRI at 7 T: do we need more or is it more than enough? In EUROPEAN RADIOLOGY EXPERIMENTAL. ISSN 2509-9280, 2020, vol. 4, no. 1.

6. [3.1] LI, X. – WINALSKI, C.S. Relaxometry: Applications in Musculoskeletal Systems. In ADVANCES IN MAGNETIC RESONANCE TECHNOLOGY AND APPLICATIONS. ISSN 2666-9099, 2020, vol. 1, p. 185-214.

 

• MARKOŠ, Peter. The one dimensional Anderson model with off diagonal disorder – band center anomaly. In Zeitschrift für Physik B – Condensed Matter, 1988, vol. 73, no. 1, p. 17-21. Dostupné na: https://doi.org/10.1007/BF01312150

WOS citations: 2

1. [1.1] FENG, D. – KANG, K. – QIN, S. – WANG, C. Unified Description on Behavior of Lyapunov Exponent for 1-D Anderson Model Near Band Center. In COMMUNICATIONS IN THEORETICAL PHYSICS. ISSN 0253-6102, 2019, vol. 71, no. 4, p. 463-467.

2. [1.1] KRISHNA, A. – BHATT, R.N. Beyond universal behavior in the one-dimensional chain with random nearest-neighbor hopping. In PHYSICAL REVIEW B. ISSN 2469-9950, 2020, vol. 101, no. 22.

 

• 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 – Current Contents). ISSN 0278-0062. Dostupné na: https://doi.org/10.1109/42.481442

WOS citations: 6; other citations: 1

1. [1.1] BIGURI, A. – TOWSYFYAN, H. – BOARDMAN, R. – BLUMENSATH, T. Numerically robust tetrahedron -based tomographic forward and backward projectors on parallel architectures. In ULTRAMICROSCOPY. ISSN 0304-3991, JUL 2020, vol. 214.

2. [1.1] EFTHIMIOU, N. New Challenges for PET Image Reconstruction for Total-Body Imaging. In PET CLINICS. ISSN 1556-8598, OCT 2020, vol. 15, no. 4, p. 453-461.

3. [1.1] KARP, J.S. – VISWANATH, V. – GEAGAN, M.J. – MUEHLLEHNER, G. – PANTEL, A.R. – PARMA, M.J. – PERKINS, A.E. – SCHMALL, J.P. – WERNER, M.E. – DAUBE-WITHERSPOON, M.E. PennPET Explorer: Design and Preliminary Performance of a Whole-Body Imager. In JOURNAL OF NUCLEAR MEDICINE. ISSN 0161-5505, JAN 1 2020, vol. 61, no. 1, p. 136-143.

4. [1.1] READER, A.J. – ELLIS, S. Bootstrap-Optimised Regularised Image Reconstruction for Emission Tomography. In IEEE TRANSACTIONS ON MEDICAL IMAGING. ISSN 0278-0062, JUN 2020, vol. 39, no. 6, p. 2163-2175.

5. [1.1] VISWANATH, V. – WITHERSPOON, M.E.D. – KARP, J.S. – SURTI, S. Numerical observer study of lesion detectability for a long axial field-of-view whole-body PET imager using the PennPET Explorer. In PHYSICS IN MEDICINE AND BIOLOGY. ISSN 0031-9155, FEB 2020, vol. 65, no. 3.

6. [1.1] WEN, D.B. – MEI, D.K. – DU, Y.A. Imaging the Three-Dimensional Ionospheric Structure with a Blob Basis Functional Ionospheric Tomography Model. In SENSORS. APR 2020, vol. 20, no. 8.

7. [3.1] ANTHOLZER, S. – HALTMEIER, M. Discretization of learned NETT regularization for solving inverse problems. In arXiv:2011.03627 [math.NA], 2020.

 

• ROSIPAL, Roman. Kernel partial least squares for nonlinear regression and discrimination. In Neural Network World, 2003, vol. 13, no. 3, p. 291-300. ISSN 1210-0552.

WOS citations: 7; SCOPUS citations: 1

1. [1.1] AMINU, M. – AHMAD, N.A. New Variants of Global-Local Partial Least Squares Discriminant Analysis for Appearance-Based Face Recognition. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 166703-166720.

2. [1.1] KUMAR, A. – RAI, S. – RATHI, E. – AGARWAL, P. – KINI, S.G. Pharmacophore-guided fragment-based design of novel mammalian target of rapamycin inhibitors: extra precision docking, fingerprint-based 2D and atom-based 3D-QSAR modelling. In JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS. ISSN 0739-1102, 2020.

3. [1.1] LIU, X.L. – ZHOU, S.S. Approximate kernel partial least squares. In ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE. ISSN 1012-2443, SEP 2020, vol. 88, no. 9, p. 973-986.

4. [1.1] LUGHOFER, E. – NIKZAD-LANGERODI, R. Robust Generalized Fuzzy Systems Training From High-Dimensional Time-Series Data Using Local Structure Preserving PLS. In IEEE TRANSACTIONS ON FUZZY SYSTEMS. ISSN 1063-6706, NOV 2020, vol. 28, no. 11, p. 2930-2943.

5. [1.1] TIWARI, A.P. – GILIYAR, V.B. – SHENOY, G.G. – ESHWARA, V.K. Identifying the Structural Features of Diphenyl Ether Analogues for InhA Inhibition: A 2D and 3D QSAR Based Study. In LETTERS IN DRUG DESIGN & DISCOVERY. ISSN 1570-1808, 2020, vol. 17, no. 1, p. 31-47.

6. [1.1] ZHANG, Y. – BEUDAERT, X. – ARGANDONA, J. – RATCHEV, S. – MUNOA, J. A CPPS based on GBDT for predicting failure events in milling. In INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY. ISSN 0268-3768, NOV 2020, vol. 111, no. 1-2, p. 341-357.

7. [1.1] ZHENG, K. – XIAO, X.-Z. – DONG, S. – LIAO, W.-H. – LIU, S.-H. Study on Rotary Ultrasonic Machining and its Predictive Model of Cutting Force on Dental Zirconia Ceramics. In JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS. ISSN 0257-9731, 2020, vol. 41, no. 2, p. 121-130.

8. [1.2] CHEN, H. – LI, X. – ZHOU, K. – ZHU, F. – QIU, Z. – SONG, K. Quality Prediction Based on Convolutional Neural Network. In 2020 7TH INTERNATIONAL CONFERENCE ON INFORMATION, CYBERNETICS, AND COMPUTATIONAL SOCIAL SYSTEMS, ICCSS 2020, 2020, p. 314-319.

 

• 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). ISSN 1752-7155. Dostupné na: https://doi.org/10.1088/1752-7155/3/2/027003

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

1. [1.1] BEKO, G. – WARGOCKI, P. – WANG, N.J. – LI, M.Z. – WESCHLER, C.J. – MORRISON, G. – LANGER, S. – ERNLE, L. – LICINA, D. – YANG, S. – ZANNONI, N. – WILLIAMS, J. The Indoor Chemical Human Emissions and Reactivity (ICHEAR) project: Overview of experimental methodology and preliminary results. In INDOOR AIR. ISSN 0905-6947, NOV 2020, vol. 30, no. 6, p. 1213-1228.

2. [1.1] DE LEON-MARTINEZ, L.D. – RODRIGUEZ-AGUILAR, M. – GOROCICA-ROSETE, P. – DOMINGUEZ-REYES, C.A. – MARTINEZ-BUSTOS, V. – TENORIO-TORRES, J.A. – ORNELAS-REBOLLEDO, O. – CRUZ-RAMOS, J.A. – BALDERAS-SEGURA, B. – FLORES-RAMIREZ, R. Identification of profiles of volatile organic compounds in exhaled breath by means of an electronic nose as a proposal for a screening method for breast cancer: a case-control study. In JOURNAL OF BREATH RESEARCH. ISSN 1752-7155, OCT 2020, vol. 14, no. 4.

3. [1.1] ITO, K. – KAWAMURA, N. – SUZUKI, Y. – MARUO, Y.Y. Colorimetric detection of gaseous acetone based on a reaction between acetone and 4-nitrophenylhydrazine in porous glass. In MICROCHEMICAL JOURNAL. ISSN 0026-265X, DEC 2020, vol. 159.

4. [1.1] MCCARTNEY, M.M. – THOMPSON, C.J. – KLEIN, L.R. – NGO, J.H. – SEIBEL, J.D. – FABIA, F. – SIMMS, L.A. – BORRAS, E. – YOUNG, B.S. – LARA, J. – TURNLUND, M.W. – NGUYEN, A.P. – KENYON, N.J. – DAVIS, C.E. Breath carbonyl levels in a human population of seven hundred participants. In JOURNAL OF BREATH RESEARCH. ISSN 1752-7155, OCT 2020, vol. 14, no. 4.

5. [1.1] MITRAYANA – APRIYANTO, D.K. – SATRIAWAN, M. CO2 Laser Photoacoustic Spectrometer for Measuring Acetone in the Breath of Lung Cancer Patients. In BIOSENSORS-BASEL. JUN 2020, vol. 10, no. 6.

6. [1.2] JIA, Y. – ZHENG, X. – GAO, K. – GUAN, J. – WEI, P. – QI, B. – ZHENG, H. Field investigation on human related VOCs in existing buildings in one university. In HUAGONG XUEBAO/CIESC JOURNAL. ISSN 0438-1157, 2020, vol. 71, p. 411-416.

7. [3.1] AHMAD, L. – AHMAD, S. Ketone measurement system for monitoring medical conditions. United States Patent US10736548B2, 2020.

8. [3.1] AHMAD, L.M. – MARTINEAU, R.L. Breath analyte sensing apparatus that generates gas streams that flow over a nanoparticle-based sensor. United States Patent US10589277B2, 2020.

9. [3.1] AHMAD, L.M. – MARTINEAU, R.L. – AHMAD, S.A. – SMITH, Z. Breath analysis system, device and method employing nanoparticle-based sensor. United States Patent US10694978B2, 2020.

10. [3.1] AHMAD, S. – SMITH, Z. – AHMAD, L. Communication system for pairing user devices with medical devices. United States Patent US10750004B2, 2020.

11. [3.1] VODOPYANOV, K.L. Laser-based Mid-infrared Sources and Applications. Wiley, 2020, ISBN 978-1-118-30181-4.

 

• VADOVIČ, Rastislav. Magnetic field correction using magnetized shims. In IEEE Transactions on Magnetic, 1989, vol. 25, no. 4, p. 3133-3139. Dostupné na: https://doi.org/10.1109/20.34386

WOS citations: 1

1. [1.1] KIM, G. – CHOI, K. – PARK, J. – BONG, U. – BANG, J. – HAHN, S. A simulation-based design study of superconducting zonal shim coil for a 9.4 T whole-body MRI magnet. In PROGRESS IN SUPERCONDUCTIVITY AND CRYOGENICS. ISSN 1229-3008, 2020, vol. 22, no. 1, p. 12-16.

 

• WEIS, Ján – BUDINSKÝ, Ľuboš. Simulation of the influence of magnetic field inhomogenity and distortion correction in MR imaging. In Magnetic Resonance Imaging, 1990, vol. 8, no. 2, p. 483-489.

WOS citations: 1

1. [1.1] MULLEN, M. – GARWOOD, M. Contemporary approaches to high-field magnetic resonance imaging with large field inhomogeneity. In PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY. ISSN 0079-6565, 2020, vol. 120-121, p. 95-108.

 

• 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. ISSN 1026-597X.

WOS citations: 1

1. [1.1] ROTH, J.D. – HOWELL, S.M. – HULL, M.L. Tibial forces are more useful than varus-valgus laxities for identifying and correcting overstuffing in kinematically aligned total knee arthroplasty. In JOURNAL OF ORTHOPAEDIC RESEARCH. ISSN 0736-0266, 2020.

 

• 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. Dostupné na internete: https://acta.imeko.org/index.php/acta-imeko/article/view/IMEKO-ACTA-05%20%282016%29-03-06

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

1. [1.1] DURIS, S. – DURISOVA, Z. – DOVICA, M. – WIMMER, G. EIV calibration of gas mixture of ethanol in nitrogen. In ADVANCED MATHEMATICAL AND COMPUTATIONAL TOOLS IN METROLOGY AND TESTING XI. ISSN 1793-0901, 2019, vol. 89, p. 170-177.

2. [1.1] SIVARAMAKRISHNAN, V. – OISHI, M.M.K. Fast, Convexified Stochastic Optimal Open-Loop Control for Linear Systems Using Empirical Characteristic Functions. In IEEE CONTROL SYSTEMS LETTERS. ISSN 2475-1456, 2020, vol. 4, no. 4, p. 1048-1053.

3. [1.2] OKAGBUE, H.I. – ADAMU, M.O. – ANAKE, T.A. – WUSU, A.S. Quantile approximation of the erlang distribution using differential evolution algorithm. In INTERNATIONAL JOURNAL OF ADVANCED TRENDS IN COMPUTER SCIENCE AND ENGINEERING, 2020, vol. 9, no. 3, p. 2746-2755.

4. [3.1] SIVARAMAKRISHNAN, V. – VINOD, A.P. – OISHI, M.M.K. Convexified Open-Loop Stochastic Optimal Control for Linear Non-Gaussian Systems. In arXiv:2010.02101 [math.OC], 2020.

 

Scientific papers in domestic impacted journals registered in Web of Sciences or Scopus

 

• GOGOLA, Daniel – KRAFČÍK, Andrej – STRBAK, O. – FROLLO, Ivan. Magnetic resonance imaging of surgical implants made from weak magnetic materials. In Measurement Science Review, 2013, vol. 13, no. 4, p. 165-168. (2012: 1.233 – IF, Q3 – JCR, 0.292 – SJR). (2013 – WOS, SCOPUS). ISSN 1335-8871. Dostupné na: https://doi.org/10.2478/msr-2013-0026

WOS citations: 1

1. [1.1] RAVAN, M. – AMINEH, R.K. – HUSSEIN, A. – SIMANOV, O. – AGARWAL, A. Electromagnetic Induction Imaging of Metallic Objects at Multiple Depths. In IEEE MAGNETICS LETTERS. ISSN 1949-307X, 2020, vol. 11.

 

• MAŇKA, Ján – CIGÁŇ, Alexander – POLOVKOVÁ, Júlia – KOŇAKOVSKÝ, Anton – PRNOVÁ, Anna. Effects of slight non-stoichiometry in Sm-Ba-Cu-O systems on superconducting characteristics. In Measurement Science Review, 2011, vol. 11, no. 1, p. 9-14. (2010: 0.400 – IF, Q4 – JCR, 0.209 – SJR, Q3 – SJR). (2011 – WOS, SCOPUS). ISSN 1335-8871. Dostupné na: https://doi.org/10.2478/v10048-011-0005-2

WOS citations: 1

1. [1.1] MURALIDHAR, M. – SUNSANEE, P. – TAKEMURA, K. – SRIKANTH, A.S. – JIRSA, M. – RAO, M.S.R. – OKA, T. – SAKAI, N. – MURAKAMI, M. Recent progress in production of infiltration-growth and melt-growth processed bulk (RE)Ba2Cu3Oy. In SUPERCONDUCTOR SCIENCE & TECHNOLOGY. ISSN 0953-2048, 2020, vol. 33, no. 7.

 

• 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. Dostupné na: https://doi.org/10.1515/jee-2017-0001

WOS citations: 2

1. [1.1] ASCI, F. – COSTANTINI, G. – DI LEO, P. – ZAMPOGNA, A. – RUOPPOLO, G. – BERARDELLI, A. – SAGGIO, G. – SUPPA, A. Machine-Learning Analysis of Voice Samples Recorded through Smartphones: The Combined Effect of Ageing and Gender. In SENSORS, 2020, vol. 20, no. 18.

2. [1.1] LA MURA, Monica – LAMBERTI, Patrizia. Human-Machine Interaction Personalization: a Review on Gender and Emotion Recognition Through Speech Analysis. In 2020 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 & IOT, 2020, pp. 319-323.

 

• STRBAK, O. – KOPČANSKÝ, P. – FROLLO, Ivan. Biogenic magnetite in humans and new magnetic resonance hazard questions. In Measurement Science Review, 2011, vol. 11, no. 3, p. 85-91. (2010: 0.400 – IF, Q4 – JCR, 0.209 – SJR, Q3 – SJR). ISSN 1335-8871. Dostupné na: https://doi.org/10.2478/v10048-011-0014-1

WOS citations: 1

1. [1.1] GARCIA PARRAGA, D. – TYACK, P.L. – MARCO-CABEDO, V. – LUIS CRESPO-PICAZO, J. – MANTECA, X. – MARTI-BONMATI, L. Effects of 3 Tesla magnetic resonance imaging exposure on the behavior and orientation of homing pigeons Columba livia domestica. In PLOS ONE. ISSN 1932-6203, 2020, vol. 15, no. 12.

 

• 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). ISSN 1335-8871. Dostupné na: https://doi.org/10.2478/msr-2014-0032

WOS citations: 1; SCOPUS citations: 1

1. [1.1] AL-QAZZAZ, N.K. – SABIR, M.K. – ALI, S.H.B. – AHMAD, S.A. – GRAMMER, K. Electroencephalogram Profiles for Emotion Identification over the Brain Regions Using Spectral, Entropy and Temporal Biomarkers. In SENSORS. JAN 2020, vol. 20, no. 1, art. no. 59.

2. [1.2] IRSYAD, M. – WIDIYANTI, P. – RAHMATILLAH, A. Audio-visual stimulation for improving sleep quality. In AIP CONFERENCE PROCEEDINGS. ISSN 0094243X, 2020, vol. 2314.

 

• WITKOVSKÝ, Viktor. Estimation, testing, and prediction regions of the fixed and random effects by solving the Henderson’s mixed model equations. In Measurement Science Review, 2012, vol. 12, no. 6, p. 234-248. (2011: 0.418 – IF, Q4 – JCR, 0.271 – SJR, Q3 – SJR). ISSN 1335-8871. Dostupné na: https://doi.org/10.2478/v10048-012-0033-6

WOS citations: 4; other citations: 1

1. [1.1] CWIEK-KUPCZYNSKA, H. – FILIPIAK, K. – MARKIEWICZ, A. – ROCCA-SERRA, P. – GONZALEZ-BELTRAN, A.N. – SANSONE, S.A. – MILLET, E.J. – VAN EEUWIJK, F. – LAWRYNOWICZ, A. – KRAJEWSKI, P. Semantic concept schema of the linear mixed model of experimental observations. In SCIENTIFIC DATA. FEB 27 2020, vol. 7, no. 1.

2. [1.1] HANCOVA, M. – GAJDOS, A. – HANC, J. – VOZARIKOVA, G. Estimating variances in time series kriging using convex optimization and empirical BLUPs. In STATISTICAL PAPERS. ISSN 0932-5026, 2020.

3. [1.1] ROACH, B.J. – CARRION, R.E. – HAMILTON, H.K. – BACHMAN, P. – BELGER, A. – DUNCAN, E. – JOHANNESEN, J. – LIGHT, G.A. – NIZNIKIEWICZ, M. – ADDINGTON, J. – BEARDEN, C.E. – CADENHEAD, K.S. – CANNON, T.D. – CORNBLATT, B.A. – MCGLASHAN, T.H. – PERKINS, D.O. – SEIDMAN, L. – TSUANG, M. – WALKER, E.F. – WOODS, S.W. – MATHALON, D.H. Reliability of mismatch negativity event-related potentials in a multisite, traveling subjects study. In CLINICAL NEUROPHYSIOLOGY. ISSN 1388-2457, DEC 2020, vol. 131, no. 12, p. 2899-2909.

4. [1.1] ROACH, B.J. – HAMILTON, H.K. – BACHMAN, P. – BELGER, A. – CARRION, R.E. – DUNCAN, E. – JOHANNESEN, J. – KENNEY, J.G. – LIGHT, G. – NIZNIKIEWICZ, M. – ADDINGTON, J. – BEARDEN, C.E. – OWENS, E.M. – CADENHEAD, K.S. – CANNON, T.D. – CORNBLATT, B.A. – MCGLASHAN, T.H. – PERKINS, D.O. – SEIDMAN, L. – TSUANG, M. – WALKER, E.F. – WOODS, S.W. – MATHALON, D.H. Stability of mismatch negativity event-related potentials in a multisite study. In INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH. ISSN 1049-8931, JUN 2020, vol. 29, no. 2.

5. [3.1] DEON VILELA DE RESENDE, M. – SILVA ALVES, R. Linear, generalized, hierarchical, bayesian and random regression mixed models in genetics/genomics in plant breeding. In FUNCTIONAL PLANT BREEDING JOURNAL. ISSN 2595-9433, 2020, vol. 2, no. 2.

 

Scientific papers in domestic non-impacted journals registered in Web of Sciences or Scopus

 

• BAJLA, Ivan – TEPLAN, Michal – CHVOSTEKOVÁ, Martina. Image decoloring via optimized predominant component analysis for segmentation of microscopic yeast cell images. In MEASUREMENT 2019 : Proceedings of the 12th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, Slovak Academy of Sciences, 2019, p. 190-194. ISBN 978-80-972629-2-1. Dostupné na: https://doi.org/10.23919/MEASUREMENT47340.2019.8780082

SCOPUS citations: 2

1. [1.2] PANDEY, R. – LALCHHANHIMA, R. Segmentation Techniques for Complex Image: Review. In 2020 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION, COMPE 2020, 2020, p. 804-808.

2. [1.2] YU, Y. – YANG, Q. – SHAOHAN, L. An Improved Faster R-CNN for Colorectal Cancer Cell Detection. In 2020 IEEE 3RD INTERNATIONAL CONFERENCE ON ELECTRONICS AND COMMUNICATION ENGINEERING, ICECE 2020, 2020, p. 186-190.

 

• COCHEROVÁ, Elena – ŠVEHLÍKOVÁ, Jana – ZELINKA, Ján – TYŠLER, Milan. Activation propagation in cardiac ventricles using homogeneous monodomain model and model based on cellular automaton. In MEASUREMENT 2017 : Proceedings of the 11th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2017, p. 217-220. ISBN 978-80-972629-0-7. Dostupné na: https://doi.org/10.23919/MEASUREMENT.2017.7983575

SCOPUS citations: 1

1. [1.2] TALAMINOS-BARROSO, A. – REINA-TOSINA, J. – ROA-ROMERO, L.M. Models based on cellular automata for the analysis of biomedical systems. In CONTROL APPLICATIONS FOR BIOMEDICAL ENGINEERING SYSTEMS, 2020, p. 405-445.

 

• HAIN, Miroslav – BARTL, Ján – JACKO, Vlado. Use of X-ray microtomography and radiography in cultural heritage testing. In MEASUREMENT 2017 : Proceedings of the 11th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2017, p. 119-122. ISBN 978-80-972629-0-7. Dostupné na: https://doi.org/10.23919/MEASUREMENT.2017.7983550

WOS citations: 1

1. [1.1] BRUNI, S. – GESSI, A. – LAZZARONI, F. – MARZO, A. – MARGHELLA, G. – MOIOLI, P. – SECCARONI, C. – SUATONI, S. – TOGNACCI, A. Diagnostic investigations on the Barberini harp. In RENDICONTI LINCEI-SCIENZE FISICHE E NATURALI. ISSN 2037-4631, 2020, vol. 31, no. 2, p. 455-460.

 

• CHVOSTEKOVÁ, Martina. Granger causality inference and time reversal. In MEASUREMENT 2019 : Proceedings of the 12th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, Slovak Academy of Sciences, 2019, p. 110-113. ISBN 978-80-972629-2-1. Dostupné na: https://doi.org/10.23919/MEASUREMENT47340.2019.8779895

SCOPUS citations: 1

1. [1.2] SHAO, H.M. – WANG, J.G. – YAO, Y. A copula-based Granger causality analysis method for root cause diagnosis of plant-wide oscillation. In PROCEEDINGS OF SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. ISSN 0277-786X, 2020, vol. 11584.

 

• PŘIBIL, Jiří – GOGOLA, Daniel – DERMEK, Tomáš – FROLLO, Ivan. Automatic evaluation of noise suppression in speech signal recorded during phonation in the open-air MRI. In MEASUREMENT 2017 : Proceedings of the 11th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2017, p. 205-208. ISBN 978-80-972629-0-7. Dostupné na: https://doi.org/10.23919/MEASUREMENT.2017.7983572

SCOPUS citations: 1

1. [1.2] SAAKSHARA, K. – PRANATHI, K. – GOMATHI, R.M. – SIVASANGARI, A. – AJITHA, P. – ANANDHI, T. Speaker Recognition System using Gaussian Mixture Model. In 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING, ICCSP 2020, 2020, p. 1041-1044.

 

• PŘIBIL, Jiří – PŘIBILOVÁ, Anna – FROLLO, Ivan. Automatic calibration of vibration sensors for measurement in a weak magnetic field. In MEASUREMENT 2019 : Proceedings of the 12th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, Slovak Academy of Sciences, 2019, p. 137-140. ISBN 978-80-972629-2-1. Dostupné na: https://doi.org/10.23919/MEASUREMENT47340.2019.8780100

WOS citations: 1

1. [1.1] HASIBUZZAMAN, M. – SHUFIAN, A. – SHEFA, R.K. – RAIHAN, R. – GHOSH, J. – SARKER, A. Vibration Measurement & Analysis Using Arduino Based Accelerometer. In 2020 IEEE REGION 10 SYMPOSIUM (TENSYMP) TECHNOLOGY FOR IMPACTFUL SUSTAINABLE DEVELOPMENT. ISSN 2640-821X, 2020, p. 508-512.

 

• RUBLÍK, František. Critical values for testing location-scale hypothesis. In Measurement Science Review, 2009, vol. 9, sec. 1, p. 9-15. ISSN 1335-8871. Dostupné na: https://doi.org/10.2478/v10048-009-0004-8

WOS citations: 1

1. [1.1] ZHOU, Y. – HO, S.-Y. – LIU, J. – TONG, T. Hypothesis testing for normal distributions: a unified framework and new developments. In STATISTICS AND ITS INTERFACE. ISSN 1938-7989, 2020, vol. 13, no. 2, p. 167-179.

 

• SZOMOLÁNYI, Pavol – RÖHRICH, S. – FROLLO, Ivan – JURÁŠ, Vladimír – SCHREINER, M. – HEULE, R. – BIERI, O. – TRATTNIG, S. Evaluation of compression properties of human knee cartilage – in-vivo study at 7T MRI. In MEASUREMENT 2017 : Proceedings of the 11th International Conference on Measurement. – Bratislava, Slovakia : Institute of Measurement Science, SAS, 2017, p. 185-188. ISBN 978-80-972629-0-7. Dostupné na: https://doi.org/10.23919/MEASUREMENT.2017.7983567

WOS citations: 1

1. [1.1] JERBAN, S. – CHANG, E.Y. – DU, J. Magnetic resonance imaging (MRI) studies of knee joint under mechanical loading: Review. In MAGNETIC RESONANCE IMAGING. ISSN 0730-725X, 2020, vol. 65, p. 27-36.

 

• ŠIMÁČEK, Ivan – JURDÁK, Peter – MAŇKA, Ján – ŠKRÁTEK, Martin. Accuracy of the measurement with the second order axial gradiometer. In Measurement Science Review, 2009, vol. 9, no. 6, p. 179-182. ISSN 1335-8871. Dostupné na: https://doi.org/10.2478/v10048-009-0029-z

WOS citations: 1

1. [1.1] VARGAS, J.M. – LAWTON, J. – VARGAS, N.M. – SCHULLER, I.K. – SOWKO, N.J. – HUANG, M.-X. – ZHANG, M. Temperature trends and correlation between SQUID superparamagnetic relaxometry and dc-magnetization on model iron-oxide nanoparticles. In JOURNAL OF APPLIED PHYSICS. ISSN 0021-8979, 2020, vol. 127, no. 4.

 

• 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. ISBN 978-80-972629-2-1. Dostupné na: https://doi.org/10.23919/MEASUREMENT47340.2019.8779887

WOS citations: 1

1. [2.1] KUCERA, L. – PATIN, B. – GAJDOSIK, T. – PALENCAR, R. – PALENCAR, J. – UJLAKY, M. Application of Metrological Approaches in the Design of Calibration Equipment for Verification of Float Level Gauges. In MEASUREMENT SCIENCE REVIEW. ISSN 1335-8871, 2020, vol. 20, no. 5, p. 230-235.

 

• WITKOVSKÝ, Viktor – WIMMER, G. Estimation of the common mean and determination of the comparison reference value. In Tatra Mountains Mathematical Publications, 2008, vol. 39, p. 53-60. ISSN 1210-3195.

WOS citations: 1

1. [1.1] SANJID, M.A. – GHOSHAL, S.K. – SEN, M. Reviving the inter-laboratory comparison measurement results. In TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL. ISSN 0142-3312, 2020, vol. 42, no. 4, p. 823-831.

 

• 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. ISBN 978-80-972629-0-7. Dostupné na: https://doi.org/10.23919/MEASUREMENT.2017.7983530

WOS citations: 3; SCOPUS citations: 1

1. [1.1] NA, Q. – HU, S.R. – TAO, J.G. – LUO, Y. Adaptive quasi-Monte Carlo method for uncertainty evaluation in centroid measurement of planetary rovers. In TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL. ISSN 0142-3312, 2020.

2. [1.1] WANG, A. – JASOUR, A. – WILLIAMS, B.C. Non-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles Under Agent Uncertainty. In IEEE ROBOTICS AND AUTOMATION LETTERS. ISSN 2377-3766, OCT 2020, vol. 5, no. 4, p. 6041-6048.

3. [1.1] ZHU, J.J. – KOROCHENTSEV, V.I. – CHEN, B.W. – LI, H.S. – ZHANG, Y. Metering Method and Measurement Uncertainty Evaluation of Underwater Positioning System in Six Degrees of Freedom Space. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 21703-21716.

4. [1.2] SOSA, D.S.B. – ACEVEDO, H.G. Design of an Advanced Control System for an Inverted Wheeled Robot. In 2020 9TH INTERNATIONAL CONGRESS OF MECHATRONICS ENGINEERING AND AUTOMATION, CIIMA 2020, 2020.

 

Scientific papers in other foreign journals not registered in WOS or Scopus with IF (impacted)

 

• 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. Dostupné na: https://doi.org/10.2478/v10048-011-0030-1

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

1. [1.1] MUCKA, P. Vibration Dose Value in Passenger Car and Road Roughness. In JOURNAL OF TRANSPORTATION ENGINEERING PART B-PAVEMENTS, 2020, vol. 146, no. 4.

2. [1.2] SAM, J.W. – CHEOW, H.K. – HO, J.H. – NG, H.K. – CHAI, A.B. Vibration suppression of a car engine frame via tuned vibration absorber design. In INTERNATIONAL JOURNAL OF VEHICLE NOISE AND VIBRATION. ISSN 1479-1471, 2020, vol. 16, no. 1-2, p. 13-29.

3. [3.1] MONDAL, P. – ARUNACHALAM, S. Compact System for Measuring Vibration at Different locations of Car Seat and Human Driver in Dynamic Condition. In INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN SCIENCE, ENGINEERING AND TECHNOLOGY. ISSN 2319-8753, 2020, vol. 9, no. 2, p. 13669-13676.

4. [3.1] LAVIE, S. – VAN DEN BERGH, J. – FUCHS, G. – JACOBS, F. System and method for use of carbon emissions in characterizing driver performance. In United States Patent US10657598B2, 2020.

 

Scientific papers in other foreign journals not registered in WOS or Scopus without IF (non-impacted)

 

• CAPEK, Ignác. On biodecorated gold nanoparticles distributed within tissues and cells. In Journal of Nanomedicine Research, 2015, vol. 2, iss. 1, art.no. 00020. ISSN 2377-4282.

WOS citations: 1

1. [1.1] AL-BARRAM, L.F.A. – AL-JAWAD, S.M.H. – TAHA, A.A. – IMRAN, N.J. Photothermal therapy of cancer cells enhanced by glutathione (GSH) modified small-sized gold nanoparticles. In JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS. ISSN 0920-5071, 2020, vol. 34, no. 18, p. 2467-2487.

 

• JANIGA, I. – GARAJ, I. – WITKOVSKÝ, Viktor. On exact two-sided statistical tolerance intervals for normal distributions with unknown means and unknown common variability. In Journal of Mathematics and Technology, 2012, vol. 3, no. 1, p. 25-32. (2012 – ZentralBlatt MATH). ISSN 2078-0257.

WOS citations: 1

1. [1.1] WANG, C. – XU, Z. – FAGAN, D. – FIELD, D.P. – LAVENDER, C. – JOSHI, V.V. Quantifying and Qualifying Alloys Based on Level of Homogenization: A U-10Mo Alloy Case Study. In JOURNAL OF ENGINEERING MATERIALS AND TECHNOLOGY-TRANSACTIONS OF THE ASME. ISSN 0094-4289, 2020, vol. 142, no. 1.

 

• 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; other citations: 1

1. [1.1] AYODELE, K.P. – IKEZOGWO, W.O. – OSUNTUYI, A.A. Empirical Characterization of the Temporal Dynamics of EEG Spectral Components. In INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING. 2020, vol. 16, no. 15, p. 80-93.

2. [1.1] LOISEAU, J.C. Data-driven modeling of the chaotic thermal convection in an annular thermosyphon. In THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS. ISSN 0935-4964, AUG 2020, vol. 34, no. 4, SI, p. 339-365.

3. [1.1] ROJO-GARIBALDI, B. – CONTRERAS-LOPEZ, M. Principles of the Utility of a Nonlinear Analysis in the Climate System. In REVISTA ESTUDIOS HEMISFERICOS Y POLARES. ISSN 0718-9230, JUL-DEC 2020, vol. 11, no. 2, p. 89-115.

4. [3.1] BENKO, Z. – BÁBEL, T. – SOMOGYVÁRI, Z. How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series. In arXiv:2004.11468 [cs.LG], 2020.

 

• 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. Dostupné na: https://doi.org/10.4236/psych.2015.65055

WOS citations: 13; SCOPUS citations: 9; other citations: 2

1. [1.1] CHOWDHURY, M.S.N. – DUTTA, A. – ROBISON, M.K. – BLAIS, C. – BREWER, G.A. – BLISS, D.W. Deep Neural Network for Visual Stimulus-Based Reaction Time Estimation Using the Periodogram of Single-Trial EEG. In SENSORS. NOV 2020, vol. 20, no. 21.

2. [1.1] GUO, Y. – LI, W. – LU, X. – XU, X. – QIU, F. – SHEN, M. – GAO, Z. Emotional States Affect the Retention of Biological Motion in Working Memory. In EMOTION. ISSN 1528-3542, 2020, vol. 20, no. 8, p. 1446-1461.

3. [1.1] HAN, S.Y. – KWAK, N.S. – OH, T. – LEE, S.W. Classification of pilots’; mental states using a multimodal deep learning network. In BIOCYBERNETICS AND BIOMEDICAL ENGINEERING. ISSN 0208-5216, JAN-MAR 2020, vol. 40, no. 1, p. 324-336.

4. [1.1] ISMAIL, L.E. – KARWOWSKI, W. Applications of EEG indices for the quantification of human cognitive performance: A systematic review and bibliometric analysis. In PLOS ONE. ISSN 1932-6203, 2020, vol. 15, no. 12.

5. [1.1] JAHANPOUR, E.S. – BERBERIAN, B. – IMBERT, J.-P. – ROY, R.N. Cognitive fatigue assessment in operational settings: a review and UAS implications. In IFAC PAPERSONLINE. ISSN 2405-8963, 2020, vol. 53, no. 5, p. 330-337.

6. [1.1] LI, F. – CHEN, C.H. – XU, G.Y. – CHANG, D.N. – KHOO, L. Causal Factors and Symptoms of Task-Related Human Fatigue in Vessel Traffic Service: A Task-Driven Approach. In JOURNAL OF NAVIGATION. ISSN 0373-4633, NOV 2020, vol. 73, no. 6, p. 1340-1357.

7. [1.1] LI, J.J. – JIN, Y.C. – LU, S. – WU, W. – WANG, P.F. Building environment information and human perceptual feedback collected through a combined virtual reality (VR) and electroencephalogram (EEG) method. In ENERGY AND BUILDINGS. ISSN 0378-7788, OCT 1 2020, vol. 224.

8. [1.1] MELO, H.M. – NASCIMENTO, L.M. – HOELLER, A.A. – WALZ, R. – TAKASE, E. Early Alpha Reactivity is Associated with Long-Term Mental Fatigue Behavioral Impairments. In APPLIED PSYCHOPHYSIOLOGY AND BIOFEEDBACK. ISSN 1090-0586, 2020.

9. [1.1] O’;KEEFFE, Kate – HODDER, Simon – LLOYD, Alex. A comparison of methods used for inducing mental fatigue in performance research: individualised, dual-task and short duration cognitive tests are most effective. In ERGONOMICS. ISSN 0014-0139, 2020, vol. 63, no. 1, pp. 1-12.

10. [1.1] SIEMIGINOWSKA, P. – ISKRA-GOLEC, I. Blue light effect on EEG activity The role of exposure timing and chronotype. In LIGHTING RESEARCH & TECHNOLOGY. ISSN 1477-1535, 2020, vol. 52, no. 4, pp. 472-484.

11. [1.1] TRAN, Y. – CRAIG, A. – CRAIG, R. – CHAI, R.F. – NGUYEN, H. The influence of mental fatigue on brain activity: Evidence from a systematic review with meta-analyses. In PSYCHOPHYSIOLOGY. ISSN 0048-5772, MAY 2020, vol. 57, no. 5.

12. [1.1] WANG, H.T. – LIU, X.C. – HU, H.Y. – WAN, F. – LI, T. – GAO, L.Y. – BEZERIANOS, A. – SUN, Y. – JUNG, T.P. Dynamic Reorganization of Functional Connectivity Unmasks Fatigue Related Performance Declines in Simulated Driving. In IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING. ISSN 1534-4320, AUG 2020, vol. 28, no. 8, p. 1790-1799.

13. [1.1] Z-FLORES, E. – TRUJILLO, L. – LEGRAND, P. – FAITA-AINSEBA, F. EEG Feature Extraction Using Genetic Programming for the Classification of Mental States. In ALGORITHMS. SEP 2020, vol. 13, no. 9.

14. [1.2] KORECKO, S. – SOBOTA, B. – HUDAK, M. – EDORCO, R. F. – SIVY, M. Testing of Visuospatial Cognitive Functions in Virtual Reality Environment. In ICETA 2020 – 18TH IEEE INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS, 2020, p. 336-341.

15. [1.2] LIAO, Y. – ZHANG, M. – WANG, Z. – XIE, X. Tri-featurenet: An adversarial learning-based invariant feature extraction for sleep staging using single-channel EEG. In PROCEEDINGS IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS. ISSN 0271-4310, 2020.

16. [1.2] 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, 2020.

17. [1.2] NUR CHOWDHURY, M.S. – DUTTA, A. – ROBISON, M.K. – BLAIS, C. – BREWER, G. – BLISS, D.W. A Generalized Model to Estimate Reaction Time Corresponding to Visual Stimulus Using Single-Trial EEG. In ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, EMBS, 2020, art. no. 9175239, p. 3011-3014.

18. [1.2] RISQIWATI, D. – WIBAWA, A.D. – PANE, E.S. – ISLAMIYAH, W.R. – TYAS, A.E. – PURNOMO, M.H. Feature Selection for EEG-Based Fatigue Analysis Using Pearson Correlation. In INTERNATIONAL SEMINAR ON INTELLIGENT TECHNOLOGY AND ITS APPLICATION: HUMANIFICATION OF RELIABLE INTELLIGENT SYSTEMS, ISITIA 2020, 2020, art. no. 9163760, p. 164-169.

19. [1.2] SENGUPTA, A. Study of Cognitive Fatigue using EEG Entropy Analysis. In INTERNATIONAL CONFERENCE ON EMERGING FRONTIERS IN ELECTRICAL AND ELECTRONIC TECHNOLOGIES, ICEFEET 2020, 2020, art. no. 9186989.

20. [1.2] SUN, G. – MENG, Y. Assessment of Mental Fatigue on Physiological Signals. In COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE. ISSN 1865-0929, 2020, vol. 1224 CCIS, p. 393-402.

21. [1.2] TYAS, A.E. – DHARMA WIBAWA, A. – PURNOMO, M.H. Theta, Alpha and Beta Activity in the Occipital Based on EEG Signals for Mental Fatigue in High School Students. In ICOSTA 2020: 2020 INTERNATIONAL CONFERENCE ON SMART TECHNOLOGY AND APPLICATIONS: EMPOWERING INDUSTRIAL IOT BY IMPLEMENTING GREEN TECHNOLOGY FOR SUSTAINABLE DEVELOPMENT, 2020, art. no. 9079268.

22. [1.2] ZHENG, R. – ZHANG, J. Assessing Cognitive Load Combining Features of Time, Frequency and Spatial Domain under Digital Graphical Interface. In JISUANJI FUZHU SHEJI YU TUXINGXUE XUEBAO/JOURNAL OF COMPUTER-AIDED DESIGN AND COMPUTER GRAPHICS, 2020, vol. 32, no. 7, p. 1062-1069.

23. [3.1] ROACH, S.M. – HOWARD, M.D. – PILLY, P.K. System and method for biofeedback including relevance assessment. In United States Patent US10877444B1, 2020.

24. [3.1] SKORHEIM, S.W. – HOWARD, M.D. – PILLY, P.K. Closed-loop intervention control system. In United States Patent US10796596B2, 2020.

 

Scientific papers in other domestic journals not registered in WOS or Scopus without IF (non-impacted)

 

• BARTKOVJAK, Jozef – KAROVIČOVÁ, Margarita. Approximation by rational functions. In Measurement Science Review, 2001, vol. 1, p. 63-65. ISSN 1335-8871.

WOS citations: 1

1. [1.1] MEIJA, J. – MCRAE, G. – PAGLIANO, E. Application of regression methods to solve general isotope dilution measurement equations. In METROLOGIA. ISSN 0026-1394, 2020, vol. 57, no. 2.

 

• 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] KOFFI, T. – BOSSON, J. – KOUACOU, A. – REGNIMA, G.-O. – DION, S. – EDOE, M. – BAGUI, O. – ZOUEU, J. Dense solutions’; extinction coefficients measurements strategy, based on laser sheet double structuring. In MEASUREMENT. ISSN 0263-2241, 2020, vol. 150.

 

• 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: 3; other citations: 1

1. [1.1] PANDEY, B.J. – CLARK, K.P. – ABBAS, F. – FUCHS, E. – LASCOLA, K. – DIKMELIK, Y. – HINOJOS, D. – HODGES, K. – ROBBINS, D.I. – PLATKOV, M. – KATZIR, A. – SULIMAN, A. – SPINGARN, G. – NIGUES, A. – VEYAN, J.F. – GU, Q. – ROODENKO, K. IR-SNOM on a Fork: Infrared scanning near-field optical microscopy for thermal profiling of quantum cascade lasers. In QUANTUM SENSING AND NANO ELECTRONICS AND PHOTONICS XVII. ISSN 0277-786X, 2020, vol. 11288.

2. [1.1] WATANABE, S. – FUKUSHI, S. – HARADA, T. – SHIMOJIMA, M. – YOSHIKAWA, T. – KUROSU, T. – KAKU, Y. – MORIKAWA, S. – SAIJO, M. Effective inactivation of Nipah virus in serum samples for safe processing in low-containment laboratories. In VIROLOGY JOURNAL. OCT 9 2020, vol. 17, no. 1.

3. [1.1] EL MAHALLAWY, N. – AREF, F.A. – ABD-ELHADY, M.S. Effect of metallic reflectors and surface characteristics on the productivity rate of water desalination systems. In THERMAL SCIENCE AND ENGINEERING PROGRESS. ISSN 2451-9049, 2020, vol. 17.

4. [1.2] POZZOBON, V. – LEVASSEUR, W. – DO, K.V. – PALPANT, B. – PERRÉ, P. Household aluminum foil matte and bright side reflectivity measurements: Application to a photobioreactor light concentrator design. In BIOTECHNOLOGY REPORTS. ISSN 2215-017X, 2020, vol. 25.

 

• BARTL, Ján – FÍRA, R. – JACKO, Vlado. Tuning of the laser diode. In Measurement Science Review, 2002, vol. 2, p. 9-15. ISSN 1335-8871.

SCOPUS citations: 1

1. [1.2] VLASOVA, S. – VLASOV, A. – ALLOYAROV, K. – VOLKOVA, T. Investigation of temperature dependence of radiation from semiconductor lasers and light emitting diodes. In IOP CONFERENCE SERIES: EARTH AND ENVIRONMENTAL SCIENCE. ISSN 1755-1307, 2020, vol. 539, no. 1.

 

• 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.

WOS citations: 2

1. [1.1] QU, H. – NIU, C. – LIU, Y. – WANG, Q. – LIU, F. A Novel Mixed Integer Programming Scheme for Passive Shimming in MRI. In 2019 PHOTONICS & ELECTROMAGNETICS RESEARCH SYMPOSIUM FALL (PIERS FALL). ISSN 1559-9450, 2019, p. 2067-2071.

2. [1.1] QU, H. – NIU, C. – WANG, Y. – WANG, Q. – XIA, L. – LIU, F. The Optimal Target Magnetic Field Method for Passive Shimming in MRI. In JOURNAL OF SUPERCONDUCTIVITY AND NOVEL MAGNETISM. ISSN 1557-1939, 2020, vol. 33, no. 3, p. 867-875.

 

• 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

1. [1.1] BRACCI, S. – MAGRINI, D. – DEL FA, R.M. – CUZMAN, O.A. – MAZZEI, B. Brightly Colored to Stay in the Dark. Revealing of the Polychromy of the Lot Sarcophagus in the Catacomb of San Sebastiano in Rome. In HERITAGE, 2020, vol. 3, no. 3, p. 858-874.

2. [1.1] STRIOVA, J. – FOVO, A. Dal – FONTANA, R. Reflectance imaging spectroscopy in heritage science. In RIVISTA DEL NUOVO CIMENTO. ISSN 0393-697X, 2020, vol. 43, no. 10, p. 515-566.

 

• KRAKOVSKÁ, Anna. Correlation dimension underestimation. In Acta Physica Slovaca : Journal for Experimental and Theoretical Physics, 1995, vol. 45, no. 5, p. 567-574. ISSN 0323-0465.

Other citations: 1

1. [3.1] ROSENBERG, E. Fractal Dimensions of Networks. Springer, 2020, ISBN 978-3-030-43168-6.

 

• KRAKOVSKÁ, Anna. Noise reduction based on dynamics reconstruction. In Measurement Science Review, 2001, vol. 1, p. 21-24. ISSN 1335-8871.

SCOPUS citations: 1

1. [1.2] XIE, J. – FENG, L. – GAO, J. – GAO, Z. – GAO, X. Chaotic noise reduction method for complex electromechanical system monitoring sequence based on LP and wavelet packet. In ZHENDONG YU CHONGJI / JOURNAL OF VIBRATION AND SHOCK. ISSN 1000-3835, 2020, vol. 39, no. 7, p. 1-7.

 

• 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.

WOS citations: 3

1. [1.1] CONRAD, E.C. – TOMLINSON, S.B. – WONG, J.N. – OECHSEL, K.F. – SHINOHARA, R.T. – LITT, B. – DAVIS, K.A. – MARSH, E.D. Spatial distribution of interictal spikes fluctuates over time and localizes seizure onset. In BRAIN. ISSN 0006-8950, FEB 2020, vol. 143, 2, p. 554-569.

2. [1.1] KIM, Y.W. – KIM, S. – SHIM, M. – JIN, M.J. – JEON, H. – LEE, S.H. – IM, C.H. Riemannian classifier enhances the accuracy of machine-learning-based diagnosis of PTSD using resting EEG. In PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY. ISSN 0278-5846, AUG 30 2020, vol. 102.

3. [1.1] NOVAKOVIC, D. – SOVILJ, P. – PETROVIC, N. – MILOVANOVIC, M. – MAKAL, J. – WALENDZIUK, W. Measurement of Event-Related Brain Potentials (ERP) Amplitude and Latency Based on Digital Stochastic Measurement over Interval. In ELEKTRONIKA IR ELEKTROTECHNIKA. ISSN 1392-1215, 2020, vol. 26, no. 2, p. 59-68.

 

• ŠUŠMÁKOVÁ, Kristína. Human sleep and sleep EEG. In Measurement Science Review, 2004, vol. 4, p. 59-74. ISSN 1335-8871.

WOS citations: 3; other citations: 2

1. [1.1] ANEM, J. – KUMAR, G.S. – MADHU, R. Cat Swarm Fractional Calculus optimization-based deep learning for artifact removal from EEG signal. In JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE. ISSN 0952-813X, 2020, vol. 32, no. 6, p. 939-958.

2. [1.1] UPADHYAY, P.K. – NAGPAL, C. PCA-Aided FCM Identifies Stressful Events of Sleep EEG Under Hot Environment. In IETE JOURNAL OF RESEARCH. ISSN 0377-2063, 2020.

3. [1.1] URTNASAN, E. – PARK, J.-U. – JOO, E.Y. – LEE, K.J. Identification of Sleep Apnea Severity Based on Deep Learning from a Short-term Normal ECG. In JOURNAL OF KOREAN MEDICAL SCIENCE. ISSN 1011-8934, 2020, vol. 35, no. 47.

4. [3.1] ALAM, M.R. – SAMENI, R. Automatic Wake-Sleep Stages Classification using Electroencephalogram Instantaneous Frequency and Envelope Tracking. In bioRxiv, 2020, DOI: 10.1101/2020.05.13.092841.

5. [3.1] LEE, T. – HWANG, J. – LEE, H. TRIER: Template-Guided Neural Networks for Robust and Interpretable Sleep Stage Identification from EEG Recordings. In arXiv:2009.05407 [eess.SP], 2020.

 

• 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: 1

1. [1.1] MUCKA, P. Vibration Dose Value in Passenger Car and Road Roughness. In JOURNAL OF TRANSPORTATION ENGINEERING PART B-PAVEMENTS, 2020, vol. 146, no. 4.

 

• STROLKA, Igor – TOFFANIN, R. – GUGLIELMI, G. – FROLLO, Ivan. Image registration in the T2* measurements of the calcaneus used to predict osteoporotic fractures. In Measurement Science Review, 2005, vol. 5, p. 79-81. ISSN 1335-8871.

WOS citations: 1

1. [1.1] TBINI, Z. – MARS, M. – BOUAZIZ, M. T1 Relaxation Time of Achilles Tendon at 3 Tesla with Special Reference to Relevant Clinical Score: A Preliminary Study. In CURRENT MEDICAL IMAGING. ISSN 1573-4056, 2020, vol. 16, no. 2, p. 164-173.

 

• 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: 2

1. [1.1] BASU, S. – BANERJEE, B. Prospect of Brainwave Entrainment to Promote Well-Being in Individuals: A Brief Review. In PSYCHOLOGICAL STUDIES. ISSN 0033-2968, SEP 2020, vol. 65, no. 3, p. 296-306.

2. [1.1] NOVAKOVIC, D. – SOVILJ, P. – PETROVIC, N. – MILOVANOVIC, M. – MAKAL, J. – WALENDZIUK, W. Measurement of Event-Related Brain Potentials (ERP) Amplitude and Latency Based on Digital Stochastic Measurement over Interval. In ELEKTRONIKA IR ELEKTROTECHNIKA. ISSN 1392-1215, 2020, vol. 26, no. 2, p. 59-68.

 

• TEPLAN, Michal. Fundamentals of EEG measurement. In Measurement Science Review, 2002, vol. 2, p. 1-11. ISSN 1335-8871.

WOS citations: 91; SCOPUS citations: 49; other citations: 37

1. [1.1] ABD RAHMAN, N.I. – DAWAL, S.Z.M. – YUSOFF, N. Driving mental workload and performance of ageing drivers. In TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR. ISSN 1369-8478, FEB 2020, vol. 69, p. 265-285.

2. [1.1] AHMED, G.M. – MAHER, E.A. – ELNASSAG, B.A.M.R. – SAYED, H.M. – KABBASH, S.I. Effects of repetitive transcranial magnetic stimulation versus transcutaneous electrical nerve stimulation to decrease diabetic neuropathic pain. In INTERNATIONAL JOURNAL OF THERAPY AND REHABILITATION. ISSN 1741-1645, FEB 2 2020, vol. 27, no. 2.

3. [1.1] AL-YACOUB, A. – BUERKLE, A. – FLANAGAN, M. – FERREIRA, P. – HUBBARD, E.-M. – LOHSE, N. Effective Human-Robot Collaboration Through Wearable Sensors. In 2020 25TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA). ISSN 1946-0740, 2020, p. 651-658.

4. [1.1] ALA, T.S. – GRAVERSEN, C. – WENDT, D. – ALICKOVIC, E. – WHITMER, W.M. – LUNNER, T. An exploratory Study of EEG Alpha Oscillation and Pupil Dilation in Hearing-Aid Users During Effortful listening to Continuous Speech. In PLOS ONE. ISSN 1932-6203, JUL 10 2020, vol. 15, no. 7.

5. [1.1] ALBUQUERQUE, I. – TIWARI, A. – PARENT, M. – CASSANI, R. – GAGNON, J.F. – LAFOND, D. – TREMBLAY, S. – FALK, T.H. WAUC: A Multi-Modal Database for Mental Workload Assessment Under Physical Activity. In FRONTIERS IN NEUROSCIENCE. DEC 1 2020, vol. 14.

6. [1.1] ALHALASEH, R. – ALASASFEH, S. Machine-Learning-Based Emotion Recognition System Using EEG Signals. In COMPUTERS. ISSN 2073-431X, DEC 2020, vol. 9, no. 4.

7. [1.1] ALONSO, E. – GIANNETTI, R. – RODRIGUEZ-MORCILLO, C. – MATANZA, J. – MUNOZ-FRIAS, J.D. A Novel Passive Method for the Assessment of Skin-Electrode Contact Impedance in Intraoperative Neurophysiological Monitoring Systems. In SCIENTIFIC REPORTS. ISSN 2045-2322, FEB 18 2020, vol. 10, no. 1.

8. [1.1] ALWASITI, H. – YUSOFF, M.Z. – RAZA, K. Motor Imagery Classification for Brain Computer Interface Using Deep Metric Learning. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 109949-109963.

9. [1.1] ANGRISANI, L. – ARPAIA, P. – ESPOSITO, A. – MOCCALDI, N. A Wearable Brain-Computer Interface Instrument for Augmented Reality-Based Inspection in Industry 4.0. In IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT. ISSN 0018-9456, APR 2020, vol. 69, no. 4, 2, p. 1530-1539.

10. [1.1] ASGARINEJAD, F. – THOMAS, A. – ROSING, T. Detection of Epileptic Seizures from Surface EEG Using Hyperdimensional Computing. In 42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC’;20. ISSN 1557-170X, 2020, p. 536-540.

11. [1.1] ASKARI, S. – BASTANY, Z. – HOLSTI, L. – GORJI, A. – DUMONT, G.D. Combined Low-frequency EEG and NIRS recording during hypoxia. In BIOPHOTONICS IN EXERCISE SCIENCE, SPORTS MEDICINE, HEALTH MONITORING TECHNOLOGIES, AND WEARABLES. ISSN 0277-786X, 2020, vol. 11237.

12. [1.1] BINIAS, B. – MYSZOR, D. – PALUS, H. – CYRAN, K.A. Prediction of Pilot’;s Reaction Time Based on EEG Signals. In FRONTIERS IN NEUROINFORMATICS. FEB 14 2020, vol. 14.

13. [1.1] BREITENBACH, J. – BAUMGARTL, H. – BUETTNER, R. Detection of Excessive Daytime Sleepiness in Resting-State EEG Recordings: A Novel Machine Learning Approach Using Specific EEG Sub-Bands and Channels. In AMCIS 2020 PROCEEDINGS. 2020.

14. [1.1] CHANU, O.R. – KALPANA, R. – SOORYA, B. – SANTHOSH, R. – RAJ, V.K. Development of a Hardware Circuit for Real-Time Acquisition of Brain Activity Using NI myDAQ. In JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS. ISSN 0218-1266, AUG 2020, vol. 29, no. 10.

15. [1.1] CHEN, Y. – HUANG, A.X. – FABER, I. – MAKRANSKY, G. – PEREZ-CUETO, F.J.A. Assessing the Influence of Visual-Taste Congruency on Perceived Sweetness and Product Liking in Immersive VR. In FOODS. APR 2020, vol. 9, no. 4.

16. [1.1] CHENGAIYAN, S. – RETNAPANDIAN, A.S. – ANANDAN, K. Identification of vowels in consonant-vowel-consonant words from speech imagery based EEG signals. In COGNITIVE NEURODYNAMICS. ISSN 1871-4080, FEB 2020, vol. 14, no. 1, p. 1-19.

17. [1.1] CHOWDHARY, C.L. – ACHARJYA, D.P. Segmentation and Feature Extraction in Medical Imaging: A Systematic Review. In INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE. ISSN 1877-0509, 2020, vol. 167, p. 26-36.

18. [1.1] DEGIRMENCI, E. – YALCIN, O. – CEKIRGE, O. – GELGEC, C. – KIZILASLAN, Z. – COMELEKOGLU, U. Determination and mapping of energy changes related to brain oscillations with a new approach based on wavelet transform: An epilepsy example. In PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI. ISSN 1300-7009, 2020, vol. 26, no. 2, p. 328-334.

19. [1.1] DESAI, R. – POROB, P. – REBELO, P. – EDLA, D.R. – BABLANI, A. EEG Data Classification for Mental State Analysis Using Wavelet Packet Transform and Gaussian Process Classifier. In WIRELESS PERSONAL COMMUNICATIONS. ISSN 0929-6212, DEC 2020, vol. 115, no. 3, p. 2149-2169.

20. [1.1] DINDORF, R. – WOS, P. Analysis of the Possibilities of Using a Driver’;s Brain Activity to Pneumatically Actuate a Secondary Foot Brake Pedal. In ACTUATORS. SEP 2020, vol. 9, no. 3.

21. [1.1] DORA, C. – BISWAL, P.K. Engineering approaches for ECG artefact removal from EEG: a review. In INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY. ISSN 1752-6418, 2020, vol. 32, no. 4, p. 351-383.

22. [1.1] DUTTA, S. – BANERJEE, T. – ROY, N.D. – CHOWDHURY, B. – BISWAS, A. Development of a BCI-based gaming application to enhance cognitive control in psychiatric disorders. In INNOVATIONS IN SYSTEMS AND SOFTWARE ENGINEERING. ISSN 1614-5046, 2020.

23. [1.1] EIJLERS, E. – BOKSEM, M.A.S. – SMIDTS, A. Measuring Neural Arousal for Advertisements and Its Relationship With Advertising Success. In FRONTIERS IN NEUROSCIENCE. JUL 15 2020, vol. 14.

24. [1.1] FARO, H.K.C. – MACHADO, D.G.D. – BORTOLOTTI, H. – DO NASCIMENTO, P.H.D. – MOIOLI, R.C. – ELSANGEDY, H.M. – FONTES, E.B. Influence of Judo Experience on Neuroelectric Activity During a Selective Attention Task. In FRONTIERS IN PSYCHOLOGY. ISSN 1664-1078, JAN 9 2020, vol. 10.

25. [1.1] FERRARI, L.M. – ISMAILOV, U. – BADIER, J.-M. – GRECO, F. – ISMAILOVA, E. Conducting polymer tattoo electrodes in clinical electro- and magneto-encephalography. In NPJ FLEXIBLE ELECTRONICS, 2020, vol. 4, no. 1.

26. [1.1] FORRESTER, M. – CROFTS, J.J. – SOTIROPOULOS, S.N. – COOMBES, S. – O’;DEA, R.D. The role of node dynamics in shaping emergent functional connectivity patterns in the brain. In NETWORK NEUROSCIENCE. ISSN 2472-1751, 2020, vol. 4, no. 2, p. 467-483.

27. [1.1] FOUAD, I.A. – LABIB, F.E.M. – MABROUK, M.S. – SHARAWY, A.A. – SAYED, A.Y. Improving the performance of P300 BCI system using different methods. In NETWORK MODELING AND ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS. ISSN 2192-6662, SEP 21 2020, vol. 9, no. 1.

28. [1.1] GAJBHIYE, P. – TRIPATHY, R.K. – PACHORI, R.B. Elimination of Ocular Artifacts From Single Channel EEG Signals Using FBSE-EWT Based Rhythms. In IEEE SENSORS JOURNAL. ISSN 1530-437X, APR 1 2020, vol. 20, no. 7, p. 3687-3696.

29. [1.1] GEORGIEVA, S. – LESTER, S. – NOREIKA, V. – YILMAZ, M.N. – WASS, S. – LEONG, V. Toward the Understanding of Topographical and Spectral Signatures of Infant Movement Artifacts in Naturalistic EEG. In FRONTIERS IN NEUROSCIENCE. APR 28 2020, vol. 14.

30. [1.1] GOUDMAN, L. – LINDEROTH, B. – NAGELS, G. – HUYSMANS, E. – MOENS, M. Cortical Mapping in Conventional and High Dose Spinal Cord Stimulation: An Exploratory Power Spectrum and Functional Connectivity Analysis With Electroencephalography. In NEUROMODULATION. ISSN 1094-7159, 2020, vol. 23, no. 1, p. 74-81.

31. [1.1] GRASSINI, S. – LAUMANN, K. Questionnaire Measures and Physiological Correlates of Presence: A Systematic Review. In FRONTIERS IN PSYCHOLOGY. ISSN 1664-1078, MAR 19 2020, vol. 11.

32. [1.1] GUAN, H.Y. – HU, S.T. – LU, M.L. – HE, M.Y. – ZHANG, X.X. – LIU, G.D. Analysis of human electroencephalogram features in different indoor environments. In BUILDING AND ENVIRONMENT. ISSN 0360-1323, DEC 2020, vol. 186.

33. [1.1] HARRIS, C. – WHITE, P.J. – MOHLER, V.L. – LOMAX, S. Electroencephalography Can Distinguish between Pain and Anaesthetic Intervention in Conscious Lambs Undergoing Castration. In ANIMALS. ISSN 2076-2615, MAR 2020, vol. 10, no. 3.

34. [1.1] HAVLIK, M. – HORACEK, J. Conscious experience and where to find it. In CESKOSLOVENSKA PSYCHOLOGIE. ISSN 0009-062X, 2020, vol. 64, no. 1, p. 84-101.

35. [1.1] HAZARIKA, J. – DASGUPTA, R. Neural correlates of action video game experience in a visuospatial working memory task. In NEURAL COMPUTING & APPLICATIONS. ISSN 0941-0643, APR 2020, vol. 32, no. 8, p. 3431-3440.

36. [1.1] HE, K. – LIU, Z.Y. – WAN, C.J. – JIANG, Y. – WANG, T. – WANG, M. – ZHANG, F.L. – LIU, Y.Q. – PAN, L. – XIAO, M. – YANG, H. – CHEN, X.D. An On-Skin Electrode with Anti-Epidermal-Surface-Lipid Function Based on a Zwitterionic Polymer Brush. In ADVANCED MATERIALS. ISSN 0935-9648, JUN 2020, vol. 32, no. 24.

37. [1.1] HO, D.H. – HONG, P. – HAN, J.T. – KIM, S.Y. – KWON, S.J. – CHO, J.H. 3D-Printed Sugar Scaffold for High-Precision and Highly Sensitive Active and Passive Wearable Sensors. In ADVANCED SCIENCE. JAN 2020, vol. 7, no. 1.

38. [1.1] HOU, Z.J. – DONG, Y.G. – WU, X. A Template Addition Method for Eigentriple Rearrangement in Singular Spectrum Analysis for Processing Biopotential Signals With Extremely Lower SNRs. In IEEE SENSORS JOURNAL. ISSN 1530-437X, MAR 15 2020, vol. 20, no. 6, p. 3142-3150.

39. [1.1] HUANG, Y.M. – CHENG, Y.P. – CHENG, S.C. – CHEN, Y.Y. Exploring the Correlation Between Attention and Cognitive Load Through Association Rule Mining by Using a Brainwave Sensing Headband. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 38880-38891.

40. [1.1] IMPERATORI, C. – BERSANI, F.S. – MASSULLO, C. – CARBONE, G.A. – SALVATI, A. – MAZZI, G. – CICERALE, G. – CARRARA, A. – FARINA, B. Neurophysiological correlates of religious coping to stress: a preliminary EEG power spectra investigation. In NEUROSCIENCE LETTERS. ISSN 0304-3940, MAY 29 2020, vol. 728.

41. [1.1] ISMAIL, L.E. – KARWOWSKI, W. A Graph Theory-Based Modeling of Functional Brain Connectivity Based on EEG: A Systematic Review in the Context of Neuroergonomics. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 155103-155135.

42. [1.1] ISMAIL, L.E. – KARWOWSKI, W. Applications of EEG indices for the quantification of human cognitive performance: A systematic review and bibliometric analysis. In PLOS ONE. ISSN 1932-6203, DEC 4 2020, vol. 15, no. 12.

43. [1.1] JALILPOUR, S. – SARDOUIE, S.H. – MIJANI, A. A novel hybrid BCI speller based on RSVP and SSVEP paradigm. In COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. ISSN 0169-2607, APR 2020, vol. 187.

44. [1.1] KAUSHIK, M. – JAIN, A. – AGARWAL, P. – JOSHI, S.D. – PARVEZ, S. Role of Yoga and Meditation as Complimentary Therapeutic Regime for Stress-Related Neuropsychiatric Disorders: Utilization of Brain Waves Activity as Novel Tool. In JOURNAL OF EVIDENCE-BASED INTEGRATIVE MEDICINE. ISSN 2515-690X, SEP 25 2020, vol. 25.

45. [1.1] KAVEH, R. – DOONG, J. – ZHOU, A. – SCHWENDEMAN, C. – GOPALAN, K. – BURGHARDT, F.L. – ARIAS, A.C. – MAHARBIZ, M.M. – MULLER, R. Wireless User-Generic Ear EEG. In IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS. ISSN 1932-4545, AUG 2020, vol. 14, no. 4, p. 727-737.

46. [1.1] KESKIN, M. – OOMS, K. – DOGRU, A.O. – DE MAEYER, P. Exploring the Cognitive Load of Expert and Novice Map Users Using EEG and Eye Tracking. In ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION. JUL 2020, vol. 9, no. 7.

47. [1.1] KHAIRULLAH, E. – ARICAN, M. – POLAT, K. Brain-computer interface speller system design from electroencephalogram signals with channel selection algorithms. In MEDICAL HYPOTHESES. ISSN 0306-9877, AUG 2020, vol. 141.

48. [1.1] KHOSLA, A. – KHANDNOR, P. – CHAND, T. A comparative analysis of signal processing and classification methods for different applications based on EEG signals. In BIOCYBERNETICS AND BIOMEDICAL ENGINEERING. ISSN 0208-5216, APR-JUN 2020, vol. 40, no. 2, p. 649-690.

49. [1.1] KREUZER, M. – STERN, M.A. – HIGHT, D. – BERGER, S. – SCHNEIDER, G. – SLEIGH, J.W. – GARCIA, P.S. Spectral and Entropic Features Are Altered by Age in the Electroencephalogram in Patients under Sevoflurane Anesthesia. In ANESTHESIOLOGY. ISSN 0003-3022, MAY 2020, vol. 132, no. 5, p. 1003-1016.

50. [1.1] LABIB, F.E.Z.M. – FOUAD, I.A. – MABROUK, M.S. – SHARAWY, A.A. Multiple classification techniques toward a robust and reliable P300 BCI system. In BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS. ISSN 1016-2372, APR 2020, vol. 32, no. 2.

51. [1.1] LANDAU, O. – COHEN, A. – GORDON, S. – NISSIM, N. Mind your privacy: Privacy leakage through BCI applications using machine learning methods. In KNOWLEDGE-BASED SYSTEMS. ISSN 0950-7051, JUN 21 2020, vol. 198.

52. [1.1] LANDAU, O. – PUZIS, R. – NISSIM, N. Mind Your Mind: EEG-Based Brain-Computer Interfaces and Their Security in Cyber Space. In ACM COMPUTING SURVEYS. ISSN 0360-0300, FEB 2020, vol. 53, no. 1.

53. [1.1] LATIFOGLU, F. – ALTINTOP, C.G. – AKIN, A.K. – ILERI, R. – YAZAR, M.A. Evaluation of Glasgow Coma Score Using Electroencephalogram Signals. In 2020 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA), 2020.

54. [1.1] LI, G.L. – WU, J.T. – XIA, Y.H. – HE, Q.G. – JIN, H.G. Review of semi-dry electrodes for EEG recording. In JOURNAL OF NEURAL ENGINEERING. ISSN 1741-2560, OCT 2020, vol. 17, no. 5.

55. [1.1] LIAO, Y.C. – GUO, N.W. – SU, B.Y. – CHEN, S.J. – TSAI, H.F. – LEE, K.Y. Frontal Beta Activity in the Meta-Intention of Children With Attention Deficit Hyperactivity Disorder. In CLINICAL EEG AND NEUROSCIENCE. ISSN 1550-0594, 2020.

56. [1.1] LIN, C.T. – YU, Y.H. – KING, J.T. – LIU, C.H. – LIAO, L.D. Augmented Wire-Embedded Silicon-Based Dry-Contact Sensors for Electroencephalography Signal Measurements. In IEEE SENSORS JOURNAL. ISSN 1530-437X, APR 1 2020, vol. 20, no. 7, p. 3831-3837.

57. [1.1] MAHATO, S. – PAUL, S. Classification of Depression Patients and Normal Subjects Based on Electroencephalogram (EEG) Signal Using Alpha Power and Theta Asymmetry. In JOURNAL OF MEDICAL SYSTEMS. ISSN 0148-5598, JAN 2020, vol. 44, no. 1.

58. [1.1] MANNATUNGA, K.S. – ALI, S.H.M. – CRESPO, M.L. – CICUTTIN, A. – SAMARAWIKRAMA, J.G. High Performance 128-Channel Acquisition System for Electrophysiological Signals. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, p. 122366-122383.

59. [1.1] MASSARO, S. – DROVER, W. – CERF, M. – HMIELESKI, K.M. Using functional neuroimaging to advance entrepreneurial cognition research. In JOURNAL OF SMALL BUSINESS MANAGEMENT. ISSN 0047-2778, 2020.

60. [1.1] MATSEN, J. – PERRONE-MCGOVERN, K. – MARMAROSH, C. Using Event-Related Potentials to Explore Processes of Change in Counseling Psychology. In JOURNAL OF COUNSELING PSYCHOLOGY. ISSN 0022-0167, JUL 2020, vol. 67, no. 4, SI, p. 500-508.

61. [1.1] MATSUBAYASHI, T. – AKAZA, M. – HAYASHI, Y. – HAMAGUCHI, T. – YAMADA, M. – SHIMOHATA, T. – YOKOTA, T. – SANJO, N. Focal sharp waves are a specific early-stage marker of the MM2-cortical form of sporadic Creutzfeldt-Jakob disease. In PRION. ISSN 1933-6896, JAN 1 2020, vol. 14, no. 1, p. 207-213.

62. [1.1] MENDONCA, F. – MOSTAFA, S.S. – MORGADO-DIAS, F. – RAVELO-GARCIA, A.G. Cyclic alternating pattern estimation based on a probabilistic model over an EEG signal. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, SEP 2020, vol. 62.

63. [1.1] MOHAMAD, N.B. – LEE, K.Y. – MANSOR, W. – MAHMOODIN, Z. – FADZAL, C.W.N.F.C.W. – AMIRIN, S. Dyslexic Frequency Signatures in Relaxation and Letter Writing. In INTELLIGENT INFORMATION AND DATABASE SYSTEMS (ACIIDS 2020), PT I. ISSN 0302-9743, 2020, vol. 12033, p. 109-119.

64. [1.1] MUNOZ, R. – OLIVARES, R. – TARAMASCO, C. – VILLARROEL, R. – SOTO, R. – ALONSO-SANCHEZ, M.F. – MERINO, E. – DE ALBUQUERQUE, V.H.C. A new EEG software that supports emotion recognition by using an autonomous approach. In NEURAL COMPUTING & APPLICATIONS. ISSN 0941-0643, AUG 2020, vol. 32, no. 15, p. 11111-11127.

65. [1.1] MURAT, Z.H. – MUHSIN, A.F.M. – KADIR, R.S.S.A. – AHMAD, F.H. Intervention of Super Brain Yoga Towards Brainwave Balancing Index, Brainwave Dominance and Short Term Memory. In 7TH INTERNATIONAL CONFERENCE ON ELECTRONIC DEVICES, SYSTEMS AND APPLICATIONS (ICEDSA2020). ISSN 0094-243X, 2020, vol. 2306.

66. [1.1] NASCIMENTO, D.C. – PIMENTEL, B. – SOUZA, R. – LEITE, J.P. – EDWARDS, D.J. – SANTOS, T.E.G. – LOUZADA, F. Dynamic time series smoothing for symbolic interval data applied to neuroscience. In INFORMATION SCIENCES. ISSN 0020-0255, MAY 2020, vol. 517, p. 415-426.

67. [1.1] NATARAJ, S.K. – PAULRAJ, M.P. – BIN YAACOB, S. – BIN ADOM, A.H. Thought-Actuated Wheelchair Navigation with Communication Assistance Using Statistical Cross-Correlation-Based Features and Extreme Learning Machine. In JOURNAL OF MEDICAL SIGNALS & SENSORS. ISSN 2228-7477, OCT-DEC 2020, vol. 10, no. 4, p. 228-238.

68. [1.1] NOBUKAWA, S. – WAGATSUMA, N. – NISHIMURA, H. Deterministic characteristics of spontaneous activity detected by multi-fractal analysis in a spiking neural network with long-tailed distributions of synaptic weights. In COGNITIVE NEURODYNAMICS. ISSN 1871-4080, DEC 2020, vol. 14, no. 6, p. 829-836.

69. [1.1] OSTIA, C.F. – SISON, L.G. Mental Task Classification Using Artificial Neural Network with Feature Reduction. In 2020 6TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR). ISSN 2251-2446, 2020, p. 753-757.

70. [1.1] PAN, Y.G. – TSANG, I.W. – SINGH, A.K. – LIN, C.T. – SUGIYAMA, M. Stochastic Multichannel Ranking with Brain Dynamics Preferences. In NEURAL COMPUTATION. ISSN 0899-7667, AUG 2020, vol. 32, no. 8, p. 1499-1530.

71. [1.1] PETERSON, V. – GALVAN, C. – HERNANDEZ, H. – SPIES, R. A feasibility study of a complete low-cost consumer-grade brain-computer interface system. In HELIYON. ISSN 2405-8440, MAR 2020, vol. 6, no. 3.

72. [1.1] PI, Z.L. – ZHANG, Y. – ZHOU, W.C. – XU, K. – CHEN, Y.R. – YANG, J.M. – ZHAO, Q.B. Learning by explaining to oneself and a peer enhances learners’; theta and alpha oscillations while watching video lectures. In BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY. ISSN 0007-1013, 2020.

73. [1.1] RAMOS, C.D. – LIMA, I.N.O. – RODRIGUES, A.L. – MAGALHAES, K.A.C.D. – RODRIGUES, A.A.D. – DESTRO, J.B. Analysis of electroencephalography brain rhythms in the reading process. In EINSTEIN-SAO PAULO. ISSN 1679-4508, 2020, vol. 18.

74. [1.1] SAINI, N. – BHARDWAJ, S. – AGARWAL, R. Classification of EEG signals using hybrid combination of features for lie detection. In NEURAL COMPUTING & APPLICATIONS. ISSN 0941-0643, APR 2020, vol. 32, no. 8, p. 3777-3787.

75. [1.1] SANTOS GONZALEZ, E.J. – MCMULLEN, K. The Design of an Algorithmic Modal Music Platform for Eliciting and Detecting Emotion. In 2020 8TH INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI). ISSN 2572-7672, 2020, p. 85-87.

76. [1.1] SARAIVA, A.A. – DE JESUS CASTRO, F.M. – NASCIMENTO, R.C. – DE MELO, R.T. – MOURA SOUSA, J.V. – VALENTE, A. – FONSECA FERREIRA, N.M. Electroencephalography applied compression algorithms qualitative analysis. In COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION. ISSN 2168-1163, 2020, vol. 8, no. 4, p. 367-373.

77. [1.1] SARMUKADAM, K. – BITSIKA, V. – SHARPLEY, C.F. – MCMILLAN, M.M.E. – AGNEW, L.L. Comparing different EEG connectivity methods in young males with ASD. In BEHAVIOURAL BRAIN RESEARCH. ISSN 0166-4328, APR 6 2020, vol. 383.

78. [1.1] SAWANGJAI, P. – HOMPOONSUP, S. – LEELAARPORN, P. – KONGWUDHIKUNAKORN, S. – WILAIPRASITPORN, T. Consumer Grade EEG Measuring Sensors as Research Tools: A Review. In IEEE SENSORS JOURNAL. ISSN 1530-437X, APR 15 2020, vol. 20, no. 8, p. 3996-4024.

79. [1.1] SHARMA, A. – RAI, J.K. – TEWARI, R.P. Scalp electroencephalography (sEEG) based advanced prediction of epileptic seizure time and identification of epileptogenic region. In BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK. ISSN 0013-5585, DEC 2020, vol. 65, no. 6, p. 705-720.

80. [1.1] SILVA, A. – CRUZ, G. – PINHEIRO, C. A Fast and Accurate SSVEP Brain Machine Interface Using Dry Electrodes and High Frequency Stimuli by Employing Ensemble Learning. In IEEE LATIN AMERICA TRANSACTIONS. ISSN 1548-0992, JUN 2020, vol. 18, no. 6, p. 1000-1007.

81. [1.1] TAJDINI, M. – SOKOLOV, V. – KUZMINYKH, I. – SHIAELES, S. – GHITA, B. Wireless Sensors for Brain Activity-A Survey. In ELECTRONICS. DEC 2020, vol. 9, no. 12.

82. [1.1] THANATUSKITTI, P. – SIRIPORNPANICH, V. – SAYORWAN, W. – PALANUVEJ, C. – RUANGRUNGSI, N. The Effects of Inhaled Limnophila aromatica Essential Oil on Brain Wave Activities and Emotional States in Healthy Volunteers: a Randomized Crossover Study. In RESEARCH JOURNAL OF PHARMACOGNOSY. ISSN 2345-4458, FAL 2020, vol. 7, no. 4, p. 1-9.

83. [1.1] VIZVARI, Z. – TOTH, A. – SARI, Z. – KLINCSIK, M. – KULJIC, B. – SZAKALL, T. – ODRY, A. – MATHE, K. – SZABO, I. – KARADI, Z. – ODRY, P. Measurement system with real time data converter for conversion of (IS)-S-2 data stream to UDP protocol data. In HELIYON. ISSN 2405-8440, APR 2020, vol. 6, no. 4.

84. [1.1] WOBROCK, D. – FINKE, A. – SCHACK, T. – RITTER, H. Using Fixation-Related Potentials for Inspecting Natural Interactions. In FRONTIERS IN HUMAN NEUROSCIENCE. ISSN 1662-5161, NOV 5 2020, vol. 14.

85. [1.1] WU, X.L. – ZHANG, W.H. – FU, Z.B. – CHEUNG, R.T.H. – CHAN, R.H.M. An investigation of in-ear sensing for motor task classification. In JOURNAL OF NEURAL ENGINEERING. ISSN 1741-2560, DEC 2020, vol. 17, no. 6.

86. [1.1] YAVAS, M.C. The effect of short-term electromagnetic fields caused by mobile phones on the electrical activity of alpha and beta brain waves. In ANNALS OF CLINICAL AND ANALYTICAL MEDICINE. SEP 2020, vol. 11, no. 5, p. 474-478.

87. [1.1] YU, H. – SHIN, O.S. – KIM, S. – PARK, C. Effect of an Inflatable Air Mattress with Variable Rigidity on Sleep Quality. In SENSORS. SEP 2020, vol. 20, no. 18.

88. [1.1] ZHAO, X. – WANG, L.N. – GE, C.X. – LIU, X.S. – CHEN, M. – ZHANG, C. Effect of Process-Based Multi-Task Cognitive Training Program on Executive Function in Older Adults With Mild Cognitive Impairment: Study Rationale and Protocol Design for a Randomized Controlled Trial. In FRONTIERS IN PSYCHIATRY. ISSN 1664-0640, JUL 23 2020, vol. 11.

89. [1.1] ZHOU, T. – CHA, J.S. – GONZALEZ, G. – WACHS, J.P. – SUNDARAM, C.P. – YU, D. Multimodal Physiological Signals for Workload Prediction in Robot-assisted Surgery. In ACM TRANSACTIONS ON HUMAN-ROBOT INTERACTION. FEB 2020, vol. 9, no. 2.

90. [1.1] ZHU, M.H. – LIU, W.W. – WARGOCKI, P. Changes in EEG signals during the cognitive activity at varying air temperature and relative humidity. In JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY. ISSN 1559-0631, MAR 2020, vol. 30, no. 2, p. 285-298.

91. [1.1] ZHU, Y. – SAQIB, M. – HAM, E. – BELHARETH, S. – HOFFMAN, R. – WANG, M.D. Mitigating Patient-to-Patient Variation in EEG Seizure Detection using Meta Transfer Learning. In 2020 IEEE 20TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE 2020). ISSN 2471-7819, 2020, p. 548-555.

92. [1.2] AKILA, N.F. – M NASIR, E.M.N.E. – FUAD, N. – HELMY ABD WAHAB, M. – ZULKARNAIN SYED IDRUS, S. A Review of Human Graphology Analysis and Brainwaves. In IOP CONFERENCE SERIES: MATERIALS SCIENCE AND ENGINEERING. ISSN 1757-8981, 2020, vol. 917, no. 1.

93. [1.2] ALJSHAMEE, M. – ALSABAH, R. – MOUSA, A.H. – ALSABBAGH, A. (Portable) Low-cost electroencephalogram (EEG) Recorder for Brain computer-interface (BCI). In 2020 11TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES, ICCCNT 2020.

94. [1.2] ALKHORSHID, D.R. – MOLAEEZADEH, S.F. – ALKHORSHID, M.R. Electroencephalography acquisition system: Analog design. In BIOMEDICAL INSTRUMENTATION AND TECHNOLOGY. ISSN 0899-8205, 2020, vol. 54, no. 5, p. 346-351.

95. [1.2] ALMAJIDY, R.K. – MANKODIYA, K. – ABTAHI, M. – HOFMANN, U.G. A newcomer’;s guide to functional near infrared spectroscopy experiments. In IEEE REVIEWS IN BIOMEDICAL ENGINEERING. ISSN 1937-3333, 2020, vol. 13, p. 292-308.

96. [1.2] ANGRISANI, L. – ARPAIA, P. – DONNARUMMA, F. – ESPOSITO, A. – FROSOLONE, M. – IMPROTA, G. – MOCCALDI, N. – NATALIZIO, A. – PARVIS, M. Instrumentation for motor imagery-based brain computer interfaces relying on dry electrodes: A functional analysis. In I2MTC 2020 INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, 2020.

97. [1.2] ARUNKUMAR, B. – VIJAY, S.A. – KUMAR, K.S. Spectral analysis based differentiationfor EEG signals of children with autism. In JOURNAL OF CRITICAL REVIEWS. ISSN 2394-5125, 2020, vol. 7, no. 4, p. 882-887.

98. [1.2] ASKARI, S. – BASTANY, Z. – HOLSTI, L. – GORJI, A. – DUMONT, G.A. Combined low-frequency EEG and NIRS during hypoxia. In PROGRESS IN BIOMEDICAL OPTICS AND IMAGING PROCEEDINGS OF SPIE. ISSN 1605-7422, 2020, vol. 11237.

99. [1.2] BEHERA, S. – MOHANTY, M.N. A novel approach for artifact removal from brain signal. In ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING. ISSN 2194-5357, 2020, vol. 1030, p. 31-38.

100. [1.2] BEHERA, S. – MOHANTY, M.N. Classification of EEG Signal Using SVM. In LECTURE NOTES IN ELECTRICAL ENGINEERING. ISSN 1876-1100, 2020, vol. 665, p. 859-869.

101. [1.2] BERA, T.K. – CHOUDHARY, S. – MAITI, T. – PRASAD BARNWAL, S. A Low-Cost Electroencephalography (EEG) Instrumentation for Epileptic Seizure Detection. In JOURNAL OF PHYSICS: CONFERENCE SERIES. ISSN 1742-6588, 2020, vol. 1495, no. 1.

102. [1.2] CALEGARIO, F. – TRAGTENBERG, J. – WANG, J. – FRANCO, I. – MENESES, E. – WANDERLEY, M.M. Open Source DMIs: Towards a Replication Certification for Online Shared Projects of Digital Musical Instruments. In LECTURE NOTES IN COMPUTER SCIENCE . ISSN 0302-9743, 2020, vol. 12423 LNCS, p. 84-97.

103. [1.2] CHATTERJEEE, J. – DANIEL, R.V. – CHANDRA, S. – SHARMA, G. – SAINI, L.M. Validation of response by classifying EEG gathered from different areas of the brain. In 5TH INTERNATIONAL CONFERENCE ON COMMUNICATION AND ELECTRONICS SYSTEMS, ICCES 2020, 2020, p. 280-284.

104. [1.2] COLOMBO, S. – MAZZA, A. – MONTAGNA, F. – RICCI, R. – DAL MONTE, O. – CANTAMESSA, M. Neurophysiological evidence in idea generation: differences between designers and engineers. In PROCEEDINGS OF THE DESIGN SOCIETY: DESIGN CONFERENCE. ISSN 2633-7762, 2020, vol. 1, p. 1415-1424.

105. [1.2] DAYA, R.N. – DUKES, M.N. – PANTANOWITZ, A. The brain as a network cable: Transmission of a modulated optical signal between two computers via the human brain. In INFORMATICS IN MEDICINE UNLOCKED. ISSN 2352-9148, 2020, vol. 21.

106. [1.2] DINDORF, R. – TAKOSOGLU, J. – WOS, P. Using of the brain activity of a disabled driver to exert a pneumatic actuator pressure on an secondary foot brake pedal during emergency braking. In 2020 12TH INTERNATIONAL SCIENCE-TECHNICAL CONFERENCE AUTOMOTIVE SAFETY 2020, 2020.

107. [1.2] DUTTA, S. – BANERJEE, T. – ROY, N.D. – CHOWDHURY, B. Development of a bci-based application using eeg to assess attentional control. In ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING. ISSN 2194-5357, 2020, vol. 1112, p. 659-670.

108. [1.2] EFE, A.A. – OCAK, M.A. The effect of using olfactory systems in class environment. In CHANGING EDUCATIONAL PARADIGMS: NEW METHODS, DIRECTIONS, AND POLICIES, 2020, p. 13-31.

109. [1.2] ESKANDAR, S. – RAZAVI, S. Using deep learning for assessment of workers’; stress and overload. In 37TH INTERNATIONAL SYMPOSIUM ON AUTOMATION AND ROBOTICS IN CONSTRUCTION, ISARC 2020, 2020, p. 872-877.

110. [1.2] FUAD, N. – NASIR, E.M.N.E.M. – MARWAN, M.E. – HASHIM, S. – DANIAL, M. EEG Pattern of Psychomotor Activities for Non-Dyslexic Person Due to Different Gender. In IOP CONFERENCE SERIES: MATERIALS SCIENCE AND ENGINEERING. ISSN 1757-8981, 2020, vol. 864, no. 1.

111. [1.2] FUAD, N. – RAHIM, A.A. – MARWAN, M.E. – HELMY ABD WAHAB, M. – ZULKARNAIN SYED IDRUS, S. The Analysis of EEG Distribution for Human Brainwave due to Mobile Phone Usage. In IOP CONFERENCE SERIES: MATERIALS SCIENCE AND ENGINEERING. ISSN 1757-8981, 2020, vol. 917, no. 1.

112. [1.2] GIMHANI, G. – APONSO, A.C. – KRISHNARAJAH, N. Critical evaluation of different biomarkers and machine-learning-based approaches to identify dementia disease in early stages. In ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING. ISSN 2194-5357, 2020, vol. 1041, p. 353-364.

113. [1.2] HALOI, R. – HAZARIKA, J. – CHANDA, D. Selection of Appropriate Statistical Features of EEG Signals for Detection of Parkinson’;s Disease. In 2020 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION, COMPE 2020, 2020, p. 761-764.

114. [1.2] IMPERATORI, C. – MASSULLO, C. – CARBONE, G.A. – FARINA, B. – COLMEGNA, F. – RIBOLDI, I. – GIACOMO, E.D. – CLERICI, M. – DAKANALIS, A. Electroencephalographic (EEG) alterations in young women with high subclinical eating pathology levels: a quantitative EEG study. In EATING AND WEIGHT DISORDERS. ISSN 1124-4909, 2020, vol. 25, no. 6, p. 1631-1642.

115. [1.2] KWONG, T.C. – WONG, S.L. – TSOI, M.H. – CHAN, C.C.H. – CHOY, Y.S. – MUNG, S.W.Y. An EEG device with synchronization of auditory stimuli. In 2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS ASIA, ICCE-ASIA 2020, 2020.

116. [1.2] MANJUNATHA, H. – ESFAHANI, E.T. Application of reinforcement and deep learning techniques in brain-machine interfaces. In ADVANCES IN MOTOR NEUROPROSTHESES, 2020, p. 1-14.

117. [1.2] MARTÍNEZ-ARIAS, P. – FONSECA-DELGADO, R. – SALUM, G. – AMARO-MARTÍN, I. Alzheimer’s disease diagnosis system using electroencephalograms and machine learning models. In RISTI REVISTA IBERICA DE SISTEMAS E TECNOLOGIAS DE INFORMACAO. ISSN 1646-9895, 2020, e33, p. 275-288.

118. [1.2] MINDORO, J.N. – CASUAT, C.D. – ALON, A.S. – MALBOG, M.A.F. – SUSA, J.A.B. Drowsy or not?Early drowsiness detection utilizing arduino based on electroencephalogram (eeg) neuro-signal. In INTERNATIONAL JOURNAL OF ADVANCED TRENDS IN COMPUTER SCIENCE AND ENGINEERING. ISSN 2278-3091, 2020, vol. 9, no. 2, p. 2221-2226.

119. [1.2] NASIR, E.M. – BAHALI, N.A. – FUAD, N. – MARWAN, M.E. – BAKAR, J.A. – NOR, D. EEG Pattern of Cognitive Activities for Non Dyslexia (Engineering Student) due to Different Gender. In LECTURE NOTES IN ELECTRICAL ENGINEERING. ISSN 1876-1100, 2020, vol. 632, p. 483-493.

120. [1.2] NASSEHI, F. – ERDOGDU, B. – SISMAN, S. – SAGLAM, Y. – EROGUL, O. A Study on Finding the Optimal Time for Automatic Transition to Self-Driving Mode. In TIP TEKNOLOJILERI KONGRESI 2020 MEDICAL TECHNOLOGIES CONGRESS, TIPTEKNO 2020, 2020.

121. [1.2] NATARAJ, S.K. – AL-TURJMAN, F. – ADOM, A.H. – SITHARTHAN, R. – RAJESH, R. – KUMAR, R. Intelligent Robotic Chair with Thought Control and Communication Aid Using Higher Order Spectra Band Features. In IEEE SENSORS JOURNAL. ISSN 1530-437X, 2020.

122. [1.2] PAL, A.K. – ROY, D. – KUMAR, G.V. – CHATTERJEE, B. – SHARMA, L.N. – BANERJEE, A. – GUPTA, C.N. Empirical Mode Decomposition Algorithms for Classification of Single-Channel EEG Manifesting McGurk Effect. In LECTURE NOTES IN COMPUTER SCIENCE. ISSN 0302-9743, 2020, vol. 11886 LNCS, p. 49-60.

123. [1.2] PEREZ, J. – TARRILLO, J. Implementation of an active-filtering circuit for electroencephalographic signal acquisition using an 8-bit microcontroller. In 2020 IEEE DALLAS CIRCUITS AND SYSTEMS CONFERENCE, DCAS 2020, 2020.

124. [1.2] PEZOULAS, V. – EXARCHOS, T. – FOTIADIS, D. Medical data sharing, harmonization and analytics. In MEDICAL DATA SHARING, HARMONIZATION AND ANALYTICS, 2020, p. 1-382.

125. [1.2] PRESTIN, J. – VESELOVSKA, H. Prony-type polynomials and their common zeros. In FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS. ISSN 2297-4687, 2020, vol. 6, p. 1-21.

126. [1.2] PUTRA, A.P. – AKRIM, A. – DALLE, J. Integration of high-tech communication practices in teaching of biology in indonesian higher education institutions. In INTERNATIONAL JOURNAL OF EDUCATION AND PRACTICE. ISSN 2311-6897, 2020, vol. 8, no. 4, p. 746-758.

127. [1.2] RIYAD, M. – KHALIL, M. – ADIB, A. Convolutional neural networks for p300 signal detection applied to brain computer interface. In JOURNAL OF AUTOMATION, MOBILE ROBOTICS AND INTELLIGENT SYSTEMS. ISSN 1897-8649, 2020, vol. 14, no. 4, p. 58-63.

128. [1.2] ROY, A. – SÉNÉCAL, S. – LÉGER, P.M. – DEMOLIN, B. – BIGRAS, É. – GAGNE, J. Measuring Users’ Psychophysiological Experience in Non-linear Omnichannel Environment. In HCI INTERNATIONAL 2020 – LATE BREAKING PAPERS. ISSN 0302-9743, 2020, 12423 LNCS, p. 762-779.

129. [1.2] SAHU, M. – VERMA, S. – NAGWANI, N.K. – SHUKLA, S. EEG signal analysis and classification on P300 speller-based BCI performance in ALS patients. In INTERNATIONAL JOURNAL OF MEDICAL ENGINEERING AND INFORMATICS. ISSN 1755-0653, 2020, vol. 12, no. 4, p. 375-400.

130. [1.2] SAJI, A. – SHANIR, P.P.M. – SHA, A.A. – KUNJU, N. Analysis of EEG for classification vowel sounds. In AIP CONFERENCE PROCEEDINGS. ISSN 0094-243X, 2020, vol. 2222.

131. [1.2] SETIAWAN, A.F. – WIBAWA, A.D. – PURNOMO, M.H. – ISLAMIYAH, W.R. Monitoring stroke rehabilitation re-learning program using EEG parameter: A preliminary study for developing self-monitoring system for stroke rehabilitation during new normal. In 2020 INTERNATIONAL SEMINAR ON APPLICATION FOR TECHNOLOGY OF INFORMATION AND COMMUNICATION: IT CHALLENGES FOR SUSTAINABILITY, SCALABILITY, AND SECURITY IN THE AGE OF DIGITAL DISRUPTION, ISEMANTIC 2020, 2020, p. 620-624.

132. [1.2] SHA’;BANI, M. – FUAD, N. – JAMAL, N. – MARWAN, M.E. – HELMY ABD WAHAB, M. – ZULKARNAIN SYED IDRUS, S. Development of Cognitive and Psychomotor Task for EEG Application with Matlab-based GUI. In IOP CONFERENCE SERIES: MATERIALS SCIENCE AND ENGINEERING. ISSN 1757-8981, 2020, vol. 917, no. 1.

133. [1.2] SHA’ABANI, M.N.A.H. – FUAD, N. – JAMAL, N. – ISMAIL, M.F. kNN and SVM Classification for EEG: A Review. In LECTURE NOTES IN ELECTRICAL ENGINEERING. ISSN 1876-1100, 2020, vol. 632, p. 555-565.

134. [1.2] SHIRKE, B. – WONG, J. – LIBUT, J.C. – GEORGE, K. – OH, S.J. Brain-IoT based Emotion Recognition System. In 2020 10TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE, CCWC 2020, 2020, p. 991-995.

135. [1.2] SIANIPAR, A.S. – MAWENGKANG, H. – SUHERMAN. Performance Analysis of Classifier in Detecting Epileptic Seizure Based on Discrete Wavelet Transform. In MECNIT 2020 INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONICS, COMPUTER, AND INDUSTRIAL TECHNOLOGY, 2020, p. 137-142.

136. [1.2] SINGH, G. – VERMA, K. – SHARMA, N. – KUMAR, A. – MANTRI, A. Emotion Recognition using Deep Convolutional Neural Network on Temporal Representations of Physiological Signals. In 2020 IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLIED NETWORK TECHNOLOGIES, ICMLANT 2020, 2020.

137. [1.2] SUNNY, T.D. – ROSHITHA RAJ, P. – MEENAKSHY, K. Classification of Motor Imagery Signals Using ANFIS to Control a Robotic System. In 2020 IEEE INTERNATIONAL CONFERENCE ON POWER, INSTRUMENTATION, CONTROL AND COMPUTING, PICC 2020, 2020.

138. [1.2] WEN, T.Y. – ARIS, S.A.M. Electroencephalogram (EEG) stress analysis on alpha/beta ratio and theta/beta ratio. In INDONESIAN JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE. ISSN 2502-4752, 2020, vol. 17, no. 1, p. 175-182.

139. [1.2] YAACOB, S. – MUHAMAD’;ARIF, N.I.Z. – KRISHNAN, P. – RASYADAN, A. – YAAKOP, M. – MOHAMED, F. Early driver drowsiness detection using electroencephalography signals. In IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN ENGINEERING AND TECHNOLOGY, IICAIET 2020.

140. [1.2] YOSHIMOTO, S. – AOYAMA, K. – KAJIMOTO, H. – NISHIKAWA, A. Safety guidelines and effects of electricity applied to the human body. In TRANSACTIONS OF JAPANESE SOCIETY FOR MEDICAL AND BIOLOGICAL ENGINEERING. ISSN 1881-4379, 2020, vol. 58, no. 4-5, p. 147-159.

141. [3.1] ADACHI, S. – OZAWA, J. Determination system, control signal output system, rehabilitation system, determination method, control signal output method, and recording medium. In United States Patent US10842402B2, 2020.

142. [3.1] ANUSOOYA, S. – ANITHA, R. – JEAN SHILPA, V. – ANITHA PRIYADARSHINI, N. – AAMIRA, S.J. – SOWMYAA, G. Music Therapy by Analyzing EEG Signals. In BULLETIN OF SCIENTIFIC RESEARCH. ISSN 2582-4678, 2020, vol. 2, no. 1.

143. [3.1] ARICAN, M. – POLAT, K. Binary particle swarm optimization (BPSO) based channel selection in the EEG signals and its application to speller systems. In JOURNAL OF ARTIFICIAL INTELLIGENCE AND SYSTEMS. ISSN 2642-2859, 2020, vol. 2, p. 27-37.

144. [3.1] ATTAL, Y. – DUMAS, T. Headset for bio-signals acquisition. In United States Patent US10835179B2, 2020.

145. [3.1] BHOWMICK, A. – CEVIK, M. – BASAR, A. Analyzing Intracranial EEG in Pharmacoresistant Epilepsy Patients Using Hidden Markov Models and Time Series Forecasting Methods. In SN COMPUTER SCIENCE. ISSN 2661-8907, 2020, vol. 1, p. 325.

146. [3.1] BROWN, D. – SHERKAT, N. – TAHERI, M. Modeling engagement with multimodal multisensor data: the continuous performance test as an objective tool to track flow. In INTERNATIONAL JOURNAL OF COMPUTER AND INFORMATION ENGINEERING. ISSN 2010-3921, 2020, vol. 14, no. 162, p. 197-208.

147. [3.1] CHENGAIYAN, S. – BALATHAYIL, D. – ANANDAN, K. – THOMAS, C.B. Effect of Power and Phase Synchronization in Multi-Trial Speech Imagery. In DATA ANALYTICS IN MEDICINE: CONCEPTS, METHODOLOGIES, TOOLS, AND APPLICATIONS. IGI Global, 2020, ISBN 9781799812043.

148. [3.1] FRIEDL, W.M. – KEIL, A. Aversive Conditioning of Spatial Position Sharpens Neural Population-level Tuning in Visual Cortex and Selectively Reduces Alpha-band Activity. In bioArxiv, 2020, doi: 10.1101/2020.11.14.382960.

149. [3.1] GEZGEZ, C. – CANDAN, L. – KACAR, E. Control of LRF and Two DC Motors with Pattern Recognition Approach Based on Mental Tasks. In 36th INTERNATIONAL PHYSICS CONGRESS (TPS36), 2020, vol. 2, no. 1, p. 3-7. ISBN 978-605-83516-9-1.

150. [3.1] GUHAN SESHADRI, N.P. – GEETHANJALI, B. – MUTHUMEENAKSHI, S. – BHAVANA, V. – VIJAYALAKSHMI, R. Visualization of Event-Related Changes in Brain Networks During Attention-Demanding Tasks: Visualization of Functional Connectivity During Attention Task Using EEG. In INNOVATIONS, ALGORITHMS, AND APPLICATIONS IN COGNITIVE INFORMATICS AND NATURAL INTELLIGENCE. IGI Global, 2020, ISBN 9781799830382.

151. [3.1] GUPTA, M. – BHATIA, D. – SINHA, T.K. – DOGRA, S. – JHA, S.K. Investigation of cognitive changes in cerebral palsy children employing different integrated sensing techniques. In SENSORS INTERNATIONAL. ISSN 2666-3511, 2020, vol. 1, p. 100016.

152. [3.1] HALL, S. – VAN DEN HEEVER, D. – VINDING, M.C. – MORRIS, L. Investigating motor preparatory processes and conscious volition using machine learning. In bioArxiv, 2020, doi: 10.1101/2020.09.07.286351.

153. [3.1] JASWAL, R.A. – DHINGRA, S. Study of effect of music on EEG brainwave response. In MUKT SHABD JOURNAL. ISSN 2347-3150, 2020, vol. 9, no. 6, p. 166-174.

154. [3.1] KAEWCUM, N. – SIRIPORNPANICH, V. An electroencephalography (EEG) study of short-term electromyography (EMG) biofeedback training in patients with myofascial pain syndrome in the upper trapezius. In JOURNAL OF PHYSICAL THERAPY SCIENCE. ISSN 0915-5287, 2020, vol. 32, no. 10, p. 674-679.

155. [3.1] KAKADE, M.V. – GAIKWAD, C.J. – DAHAKE, V.R. Epileptic Seizure Detection Using Artifact Reduction and HOS Features of WPD. In ITM WEB OF CONFERENCES. ISSN 2271-2097, 2020, vol. 32, p. 02008.

156. [3.1] KOKOTOVIĆ, V. Analysis of the use of dry electrodes in electrophysiological measurements. In PROCEEDINGS OF THE FACULTY OF TECHNICAL SCIENCES, 2020, vol. 35, no. 8, doi: 10.24867/08RB01Kokotovic.

157. [3.1] KOUZAK, V. – DA PAZ, C. – TOMAZ, C. Neurofeedback Training on Aging: Prospects on Maintaining Cognitive Reserve. In NEUROLOGICAL AND MENTAL DISORDERS. IntechOpen, 2020, ISBN 978-1-83962-974-7.

158. [3.1] KOUZAK, V. Neurociências para idosos: treino da memória operacional por meio do neurofeedback. Editora Dialética, 2020, ISBN 9786558770381.

159. [3.1] KUMAR, N.S. – MURUGESA, P.P. – BIN, Y.S. – HAMID, A.A. Intelligent robot chair with communication aid using tep responses and higher order spectra band features. In INFORMATICS. ISSN 1816-0301, 2020, vol. 17, no. 4, p. 92-103.

160. [3.1] LUFITYANTO, G. Social neuroscience: Pendekatan multi-level integratif dalam penelitian psikologi sosial. In JURNAL PSIKOLOGI SOSIAL. ISSN 0853-3997, 2020, vol. 18, no. 2, p. 89-105.

161. [3.1] MAGALHÃES DUQUE DA FONSECA, J.C. – TEIXEIRA BATISTA PEDROSA, P.E. – FIEDLER, P. – OLIVEIRA MARTINS, A.C. – HAUEISEN, J. Injectable hydrogel-forming polymer solution for a reliable eeg monitoring and easy scalp cleaning. In United States Patent US20200037910A1, 2020.

162. [3.1] MCCALL, I.C. – WEXLER, A. Peering into the mind? The ethics of consumer neuromonitoring devices. In DEVELOPMENTS IN NEUROETHICS AND BIOETHICS. ISSN 2589-2959, 2020, vol. 3, p. 1-22.

163. [3.1] MOHDIWALE, S. – SAHU, M. Brain–computer interface and neurocomputing. In COGNITIVE INFORMATICS, COMPUTER MODELLING, AND COGNITIVE SCIENCE. Academic Press, 2020, vol. 1, p. 27-33. ISBN 978-0-12-819443-0.

164. [3.1] MURAT, Z.H. – MOHD MUHSIN, A.F. – KADIR, R.S.S.A. – AHMAD, F.H. Intervention of super brain yoga towards brainwave balancing index, brainwave dominance and short term memory. In AIP CONFERENCE PROCEEDINGS, 2020, vol. 2306, p. 020037, doi: 10.1063/5.0033359.

165. [3.1] NATARAJ, S.K. – PANDIYAN, P.M. – YAACOB, S.B. – ADOM, A.K. Intelligent robot chair with communication aid using TEP responses and higher order spectra band features. In INFORMATICS. ISSN 1816-0301, 2020, vol. 17, no. 4, p. 92-103.

166. [3.1] ORHANBULUCU, F. – LATIFOGLU, F. – BAS, A. Analysis of Attention to Potential Signals of ALS Patients by Using the K-Means Clustering Method. In EUROPEAN JOURNAL OF SCIENCE AND TECHNOLOGY. ISSN 2148-2683, 2020, p. 239-244.

167. [3.1] OYMAN, T. – YUCEL, N. – TUFEKCI, O.K. (2020). The gift of neuroscience to the world of marketing: the experimental researches on neuromarketing. In SULEYMAN DEMIREL UNIVERSITY VISIONARY JOURNAL. ISSN 1308-9552, 2020, vol. 11, no. 26, p. 314-327.

168. [3.1] OYMAN, T. Pazarlamada multidisipliner yaklasımlar: Noropazarlama ve EEG uygulamalar. Istanbul: Hiperyayın, 2020, ISBN 978-625-7845-16-8.

169. [3.1] PANKAJ – RAJESWARAN, J. – SADANA, D. Inhibition and Set-Shifting Tasks in Central Executive Function of Working Memory: An Event-Related Potential (ERP) Study. In arXiv:2003.05900 [eess.SP], 2020.

170. [3.1] RINCON, R.A.D. – RODRIGUEZ, P.-J.C. – VERA, J.M.R. An approach to Generative Art from Brain Computer Interfaces. In XXII GENERATIVE ART CONFERENCE – GA2019. Domus Argenia Publisher, 2020, ISBN 978-88-96610-39-8.

171. [3.1] SAIKIA, A. – PAUL, S. Application of Deep Learning for EEG. In HANDBOOK OF RESEARCH ON ADVANCEMENTS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE ENGINEERING. IGI Global, 2020, ISBN 9781799821205.

172. [3.1] SINGH, A. – GUMASTE, A. Interpreting Imagined Speech Waves with Machine Learning techniques. In arXiv:2010.03360 [eess.SP], 2020.

173. [3.1] SUYONO, T. – PRASETYO, P. – SHAFIRA, E. – TANJUNG, F. – SYAZWANI, F. – YUDIANA, W. Apakah intervensi prasangka lewat media bisa mengurangi prasangka implisit terhadap orang dengan HIV/AIDS? Eksperimen menggunakan Implicit Association Test (IAT). In JURNAL PSIKOLOGI SOSIAL. ISSN 0853-3997, 2020, vol. 18, no. 2, p. 131-144.

174. [3.1] TUFEKCI, O.K. – OYMAN, T. Research of emotional appeal used in advertisements by electroensefalography (EEG). In PAMUKKALE UNIVERSITY JOURNAL OF SOCIAL SCIENCES INSTITUTE. ISSN 1308-2922, 2020, no. 40, p. 561-584.

175. [3.1] VILAS-BOAS, V.-M. – DA SILVA JORGE, V. – SILVA, C.D. Towards ideal time window for classifying motor imagery in brain-computer interfaces. In 2020 PROCEEDINGS OF THE 8TH SYMPOSIUM ON KNOWLEDGE DISCOVERY, MINING AND LEARNING, 2020, doi: 10.5753/kdmile.2020.11961.

176. [3.1] WEON, H.W. – HEO, G.Y. – KIM, J.B. – SHIN, J.E. – LEE, W.W. – SON, H.K. The Effect of Integrated Nursing using Cognicise and Neurofeedback. In THE KOREAN JOURNAL OF OCCUPATIONAL HEALTH NURSING. ISSN 2287-2531, 2020, vol. 29, no. 2, p. 114-122.

177. [3.1] WU, D. – JIANG, X. – PENG, R. – KONG, W. – HUANG, J. – ZENG, Z. Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline. In arXiv:2007.03746 [eess.SP], 2020.

 

Scientific papers in foreign peer-reviewed proceedings, monographs
Published papers from foreign scientific conferences

 

• BAJLA, Ivan – MARUŠIAK, Miloš – ŠRÁMEK, Miloš. Anisotropic filtering of MRI data based upon image gradient histogram. In Computer Analysis of Images and Patterns (CAIP ’93) : 5th International Conference. – Berlin : Springer Verlag, 1993, p. 90-97.

Other citations: 1

1. [3.1] TAMAL, M. Positron Emission Tomography (PET) image enhancement using a gradient vector orientation based nonlinear diffusion filter (GVOF) for accurate quantitation of radioactivity concentration. In arXiv:2006.00273 [eess.IV], 2020.

 

• GRENDÁR, Marián. Determination of constrained modes of Multinomial distribution. In COMPSTAT 2004 : Proceedings in Computational Statistics. – Physica-Verlag, 2004, p. 1109-1115. ISBN 3-7908-1554-3.

WOS citations: 1

1. [1.1] SHEN, C. – NINH, A. Finding the modes of some multivariate discrete probability distributions: Application of the resource allocation problem. In STATISTICS & PROBABILITY LETTERS. ISSN 0167-7152, 2020, vol. 156.

 

• 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. Dostupné na: https://doi.org/10.1109/CogInfoCom.2018.8639958

WOS citations: 1; SCOPUS citations: 2

1. [1.1] KISS, E. – ZICHAR, M. – FAZEKAS, I. – KARANCSI, G. – BALLA, D. Categorization and geovisualization of climate change strategies using an open-access WebGIS tool. In INFOCOMMUNICATIONS JOURNAL. ISSN 2061-2079, 2020, vol. 12, no. 1, p. 32-37.

2. [1.2] PLEVA, M. – ONDAS, S. – JUHAR, J. – HUDSON, C.R. – CARRUTH, D.W. – BETHEL, C.L. Non-native vs native english speakers user experience in HMD vs desktop immersive training. In COGINFOCOM 2020 – 11TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFOCOMMUNICATIONS, 2020, p. 51-54.

3. [1.2] WIJKMARK, C.H. – HELDAL, I. – FANKVIST, S. – METALLINOU, M.M. Remote virtual simulation for incident commanders: Opportunities and possibilities. In COGINFOCOM 2020 – 11TH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFOCOMMUNICATIONS, 2020, p. 445-452.

 

• 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.

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

1. [1.1] AGARWAL, P. – TAMER, M. – SAHRAEI, M.H. – BUDMAN, H. Deep Learning for Classification of Profit-Based Operating Regions in Industrial Processes. In INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. ISSN 0888-5885, 2020, vol. 59, no. 6, p. 2378-2395.

2. [1.2] DAVID, D.S. Diagnosis of alzheimer’;s disease using principal component analysis and support vector machine. In INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH, 2020, vol. 12, no. 2, p. 713-724.

3. [3.1] SINGH, P. – KUMAR, S. AppikatlaEpileptic Seizure Detection From EEG Signals Using Bagged Ensemble Approach. In HANDBOOK OF RESEARCH ON ADVANCEMENTS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE ENGINEERING. IGI Global, 2020, ISBN 9781799821205.

 

• ŠTOLC, Svorad – BAJLA, Ivan. Application of the computational intelligence network based on Hierarchical Temporal Memory to face recognition. In Artificial Intelligence and Applications (AIA 2010) : 10th IASTED International Conference. Editor M.H. Hamza. – ACTA Press, 2010, p. 185-192. ISBN 978-0-88986-817-5.

WOS citations: 1

1. [1.1] KOTSERUBA, I. – TSOTSOS, J.K. 40 years of cognitive architectures: core cognitive abilities and practical applications. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, 2020, vol. 53, no. 1, p. 17-94.

 

Scientific papers in domestic peer-reviewed proceedings, monographs
Published papers from domestic scientific conferences

 

• ANDRIS, Peter – WEIS, J. – FROLLO, Ivan. Magnetic field of spiral-shaped coil. In MEASUREMENT 2009 : 7th International Conference on Measurement. Editors M. Tyšler, J. Maňka, V. Witkovský. – Bratislava : Institute of Measurement Science SAS, 2009, p. 262-265. ISBN 978-80-969672-1-6.

SCOPUS citations: 1

1. [1.2] ADAPA, R.R. – NAWAZ, S.S. – PADHAN, D.G. Analytical Study of Magnetic Field Intensity for various coils shapes. In IEEE INDIA COUNCIL INTERNATIONAL SUBSECTIONS CONFERENCE, INDISCON 2020, 2020, p. 1-7.

 

• GATIAL, A. – POLOVKOVÁ, Júlia – BREZA, M. Quantum chemical study of N,N’-diphenyl-p-phenylenediamine (DPPD) dehydrogenation. In Acta Chimica Slovaca. Vol. 1, no. 1. Editor J. Šajbidor. – Bratislava : Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, 2008, p. 72-84. ISBN 978-80-227-2957-4.

WOS citations: 2

1. [1.1] CHEREPANOV, I.S. Thermal destruction of D-mannose condensation products using p-aminoacetanilide in solvent-free systems. In IZVESTIYA VUZOV-PRIKLADNAYA KHIMIYA I BIOTEKHNOLOGIYA. ISSN 2227-2925, 2020, vol. 10, no. 4, p. 581-589.

2. [1.1] JEYAKUMAR, N. – NARAYANASAMY, B. Effect of Basil antioxidant additive on the performance, combustion and emission characteristics of used cooking oil biodiesel in CI engine. In JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY. ISSN 1388-6150, APR 2020, vol. 140, no. 1, p. 457-473.

 

• CHVÁLA, A. – NAGY, L. – MAREK, J. – PRIESOL, J. – DONOVAL, D. – VILHAN, Martin – BLAHO, M. – GREGUŠOVÁ, D. – KUZMÍK, J. – ŠATKA, A. Simulation analysis of InAlN/GaN monolithic NAND logic cell. In ASDAM 2018 : The Twelfth International Conference on Advanced Semiconductor Devices and Microsystems. Editors: J. Breza, D. Donoval, E. Vavrinsky. – IEEE, 2018, p. 167-170. ISBN 978-1-5386-7488-8. Dostupné na: https://doi.org/10.1109/ASDAM.2018.8544508

WOS citations: 1

1. [1.1] GRALOW, M. – WEIGAND, F. – HERZOG, D. – WISCHEROPP, T. – EMMELMANN, C. Biomimetic design and laser additive manufacturing-A perfect symbiosis? In JOURNAL OF LASER APPLICATIONS. ISSN 1042-346X, 2020, vol. 32, no. 2.

 

• MAJEROVÁ, Melinda – PRNOVÁ, A. – ŠKRÁTEK, Martin – KLEMENT, R. – MICHÁLKOVÁ, M. – GALUSEK, D. – BRUNEEL, E. – VAN DRIESSCHE, I. Magnetic properties of yttrium iron garnet polycrystalline material prepared by spray-drying synthesis. In MEASUREMENT 2015 : 10th International Conference on Measurement. Editors J. Maňka, M. Tyšler, V. Witkovský, I. Frollo. – Bratislava : Institute of Measurement Science, SAS, 2015, p. 285-288. ISBN 978-80-969672-9-2.

WOS citations: 2

1. [1.1] GOLDWIN, J. – ARAVINTHAN, K. – RAJ, S. G. – KUMAR, R. Synthesis and characterization of nanocrystalline yttrium iron garnet (Y3Fe5O12) for magnetoelectric applications. In DIGEST JOURNAL OF NANOMATERIALS AND BIOSTRUCTURES. ISSN 1842-3582, 2019, vol. 14, no. 3, p. 721-725.

2. [1.1] SAKER, K. – BOUCHEMAT, T. – LAHOUBI, M. – BOUCHEMAT, M. Enhancement of magneto-optical properties in magnetic photonic crystal slab waveguide based on yttrium iron garnet. In APPLIED NANOTECHNOLOGY AND NANOSCIENCE INTERNATIONAL CONFERENCE (ANNIC 2018). ISSN 1742-6588, 2019, vol. 1310.

 

• PUTIŠ, M. – RADVANEC, M. – HAIN, Miroslav – KOLLER, F. – KOPPA, M. – SNÁRSKA, B. 3-D analýza perovskitu v mikrostavbe serpentinitu (lom Dobšiná) metódou RTG mikrotomografie [3-D analysis of perovskite in serpentinite (Dobšiná quarry) by X-ray micro-tomography]. In PETROS 2011 : Termodynamické modelovanie petrologických procesov. Editori M. Ondrejka, K. Šarinová. – Bratislava : Univerzita Komenského, 2011, s. 33-37. ISBN 978-80-223-3002-2.

WOS citations: 1

1. [1.1] STUBNA, J. – BACIK, P. – FRIDRICHOVA, J. – HANUS, R. – ILLASOVA, L. – MILOVSKA, S. – SKODA, R. – VACULOVIC, T. – CERNANSKY, S. Gem-Quality Green Cr-Bearing Andradite (var. Demantoid) from Dobsina, Slovakia. In MINERALS. ISSN 2075-163X, 2019, vol. 9, no. 3.

 

• ROSÍK, Vladimír – TYŠLER, Milan – TURZOVÁ, Marie. Portable device for ECG mapping. In MEASUREMENT ‘;97 : International Conference on Measurement. Editors I. Frollo, A. Plačková. – Bratislava : Institute of Measurement Science, SAS, 1997, p. 367-370. ISBN 80-967402-1-0.

WOS citations: 1

1. [1.1] KOZLIKOVA, K. – TRNKA, M. Varied Onset of Heart Ventricular Depolarization in Different Age Groups of Healthy Volunteers. In PHYSIOLOGICAL RESEARCH. ISSN 0862-8408, 2019, vol. 68, p. S389-S397.

 

• TEPLAN, Michal – KRAKOVSKÁ, Anna. EEG features of psycho-physiological relaxation. In ISABEL 2009 : 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies. Editors F. Lehocki, N. Marchetti, S. Frattasi. – Bratislava : STU, 2009. ISBN 978-80-227-3216-1. Dostupné na: https://doi.org/10.1109/ISABEL.2009.5373654

WOS citations: 1

1. [1.1] GROS, L. – DEBUE, N. – LETE, J. – VAN DE LEEMPUT, C. Video Game Addiction and Emotional States: Possible Confusion Between Pleasure and Happiness? In FRONTIERS IN PSYCHOLOGY. ISSN 1664-1078, 2020, vol. 10.

 

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: 1

1. [1.1] LEVY, S. – ROCHE, P.-H. – GUYE, M. – CALLOT, V. Feasibility of human spinal cord perfusion mapping using dynamic susceptibility contrast imaging at 7T: Preliminary results and identified guidelines. In MAGNETIC RESONANCE IN MEDICINE. ISSN 0740-3194, 2020.

 

Abstracts of papers from foreign conferences

 

• ROŠŤÁKOVÁ, Zuzana – ROSIPAL, Roman. Differences in sleep microstate curves among healthy sleepers and patients after stroke. In Clinical Neurophysiology, 2016, vol. 127, no. 3, p. e126. (2015: 3.426 – IF, Q2 – JCR, 1.582 – SJR, Q1 – SJR, karentované – CCC). (2016 – Current Contents). ISSN 1388-2457.

WOS citations: 1

1. [1.1] MENDONCA, F. – MOSTAFA, S.S. – MORGADO-DIAS, F. – RAVELO-GARCIA, A.G. Cyclic alternating pattern estimation based on a probabilistic model over an EEG signal. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, 2020, vol. 62.

 

• WITKOVSKÝ, Viktor. CharFunTool: The characteristic functions toolbox. In 11th International Conference on Computational and Financial Econometrics (CFE 2017) and 10th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2017). – EcoSta Econometrics and Statistics, 2017, p. 126. ISBN 978-9963-2227-4-2.

WOS citations: 2

1. [1.1] DURIS, S. – DURISOVA, Z. – DOVICA, M. – WIMMER, G. EIV calibration of gas mixture of ethanol in nitrogen. In ADVANCED MATHEMATICAL AND COMPUTATIONAL TOOLS IN METROLOGY AND TESTING XI. ISSN 1793-0901, 2019, vol. 89, p. 170-177.

2. [1.1] JURKOVA, V. – ZEZULA, I. – KLEIN, D. Testing in the growth curve model with intraclass correlation structure. In STATISTICS. ISSN 0233-1888, 2020, vol. 54, no. 5, p. 1124-1146.

 

Works published on the internet

 

• GRENDÁR, Marián – JUDGE, G.G. Revised empirical likelihood. In CUDARE Working Paper No. 1106. – Berkeley, CA : University of California, 2010. Dostupné na internete: http://escholarship.org/uc/item/6gs579r0

WOS citations: 1

1. [1.1] JAEGER, A. – LAZAR, N.A. Split sample empirical likelihood. In COMPUTATIONAL STATISTICS & DATA ANALYSIS. ISSN 0167-9473, 2020, vol. 150.

 

• 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: 1; SCOPUS citations: 1; other citations: 1

1. [1.1] RESTREPO, J.F. – MATEOS, D.M. – SCHLOTTHAUER, G. Transfer entropy rate through Lempel-Ziv complexity. In PHYSICAL REVIEW E. ISSN 2470-0045, 2020, vol. 101, no. 5.

2. [1.2] PUKENAS, K. Detecting causality in uni-directionally coupled chaotic oscillators with small frequency mismatch. In JOURNAL OF APPLIED NONLINEAR DYNAMICS. ISSN 2164-6457, 2020, vol. 9, no. 1, p. 31-36.

3. [3.1] GORJI, A. – GORJI, M. Causality analysis in climate time series using windowed regression. In 9TH INTERNATIONAL WORKSHOP ON CLIMATE INFORMATICS, p. 103-107, doi:10.5065/y82j-f154.

 

• KRAKOVSKÁ, Hana – KRAKOVSKÁ, Anna. Fractal dimension of self-affine signals: Four methods of estimation. In arXiv:1611.06190v1[math.DS], 2016, p. 1-8.

WOS citations: 1

1. [1.1] KERMARREC, G. On Estimating the Hurst Parameter from Least-Squares Residuals. Case Study: Correlated Terrestrial Laser Scanner Range Noise. In MATHEMATICS, 2020, vol. 8, no. 5.