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  • ALLINEY, S. – MATEJ, S. – BAJLA, I. On the possibility of direct fourier reconstruction from divergent-beam projections. In IEEE Transactions on Medical Imaging. Vol. 12, no. 2 (1993), p. 173-181.

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  1. Nikolova M
    LECTURE NOTES IN COMPUTER SCIENCE 2003, Vol 2683, pp 391-406

 

  • CAMBEL, V. – KARAPETROV, G. – ELIÁŠ, P. – HASENOHRL, S. – KWOK, W.K. – KRAUSE, J. – MAŇKA, J. Approaching the pT range with a 2DEG InGaAs/InP Hall sensor at 77 K. In Microelectronic Engineering. Vol. 51-52 (2000), p. 333-342.

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  1. Boero G; Demierre M; Besse PA; Popovic RS
    SENSORS AND ACTUATORS A 2003, Vol 106, pp 314-320

 

  • COREMANS, J. – SPANOGHE, M. – BUDINSKÝ, Ľ. – STERCKX, J. – LUYPAERT, R. – EISENDRATH, H. – OSTEAUX, M. A comparison between different imaging strategies for diffusion measurements with the centric phase-encoded TurboFLASH seguence. In Journal of Magnetic Resonance. Vol. 124 (1997), p. 323-342.

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  1. Redpath TW; Semple SIK; Waiter GD; Frisch L; Norton MY; Morris DM; Egred M
    MAGNETIC RESONANCE IN MEDICINE 2003, Vol 49, pp 776-780
  2. Pell GS; Lewis DP; Branch CA
    MAGNETIC RESONANCE IN MEDICINE 2003, Vol 49, Iss 2, pp 341-350

 

  • COVA, M. – TOFFANIN, R. – SZOMOLÁNYI, P. – VITTUR, F. – POZZI-MUCELLI, R.S. – JELLÚŠ, V. – SILVESTRI, F. – DALLA-PALMA, L. Short-TE projection reconstruction MR microscopy in the evaluation of articular cartilage thickness. In European Radiology. Vol. 10 (2000), p. 1222-1226.

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  1. Mohr A; Priebe M; Taouli B; Grimm J; Heller M; Brossmann J
    EUROPEAN RADIOLOGY 2003, Vol 13, Iss 4, pp 686-689
  2. Xia Y
    OSTEOARTHRITIS AND CARTILAGE 2003, Vol 11, Iss 7, pp 473-474

 

  • FARKAŠ, I. – MIIKKULAINEN, R. Modeling the self-organization of directional selectivity in the primary visual cortex. In ICANN ´99: Ninth International Conference on Artificial Neural Networks. London: Institution of Electrical Engineers, 1999. P. 251-256.

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  1. Barreto GA; Araujo AFR; Kremer SC
    NEURAL COMPUTATION 2003, Vol 15, pp 1255 – 1320

 

  • CHROMÍK, S. – JERGEL, M. – HANIC, F. – JIMENEZ, S. – JERGEL, M. – ŠTRBÍK, V. – FALCONY, C. – BEŇAČKA, S. – CHEANG-WONG, J.C. – ANDRADE, E. Preparation and properties of precursor Ba-Ca-Cu(O, F) thin films deposited from fluorides for superconducting Tl- and Hg-based films. In Thin Solid Films. Vol. 373, no. 1-2 (2000), p. 129-133.

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  1. Katti VR; Debnath AK; Muthe KP; Kaur M; Dua AK; Gadkari SC; Gupta SK; Sahni VC
    SENSORS AND ACTUATORS B-CHEMICAL 2003, Vol 96, Iss 1-2, pp 245-252

 

  • CHUDÝ, L.FARKAŠ, I. Prediction of chaotic time-series using dynamic cell structures and local linear models. In Neural Network World. Vol. 8, no. 5 (1998), p. 481-490.

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  1. Barreto GD; Araujo AFR
    NEURAL COMPUTATION 2003, Vol 15, Iss 6, pp 1255-1320

 

  • LAURITSEN, K.B. – SNEPPEN, K. – MARKOŠOVÁ, M. – JENSEN, M.H. Directed percolation with an absorbing boundary. In Physica A. Vol. 247 (1997), p. 1-9.

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  1. Barkema GT; Carlon E
    PHYSICAL REVIEW E 2003, Vol 68, Iss 3, art. no. 036113

 

  • ROSÍK, V.TYŠLER, M.TURZOVÁ, M. Portable device for ECG mapping. In MEASUREMET 1997: International Conference on Measurement. Bratislava: Institute of Measurement Science, SAS, 1997. P. 367-370.

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  1. Kozlikova K; Martinka J; Murin J; Bulas J
    MEASUREMENT 2003: 4rd INTERNATIONAL CONFERENCE ON MEASUREMENT, Bratislava: Institute of Measurement Science, SAS, 2003, P 165-168
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    MEASUREMENT SCIENCE REVIEW 2003, Vol 3, pp 107-110

 

  • ROSIPAL, R. – KOSKA, M. – FARKAŠ, I. Prediction of chaotic time-series with a resource-allocating RBF network. In Neural Processing Letters. Vol. 7, no. 3 (1998), p. 185-197.

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    IEEE TRANSACTIONS ON NEURAL NETWORKS 2003, Vol 14, Iss 6, pp 1478-1495

 

  • ROSIPAL, R. – TREJO, L.J. Kernel partial least squares regression in RKHS. In Journal of Machine Learning Research. Vol. 2 (2001), p. 97-123.

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    LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 2003, Vol 2777, pp 216-230

 

  • RUBLÍK, F. On optimality of the LR tests in the sense of exact slopes. Part I. General case. In Kybernetika. Vol. 25 (1989), p. 13-25.

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  1. Stehlik M
    METRIKA 2003, Vol 57, Iss 2, pp 145-164

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    SOOBŠČENIJA OBEDINEGO INSTITUTA JADERNYCH ISSLEDOVANIJ 2003, Dubna, E 11, pp 116
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  • RUBLÍK, F. On the optimality of the LR tests in the sense of exact slopes. Part II. Applications to individual distributions. In Kybernetika. Vol. 25, no. 2 (1989), p. 117-135.

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  • RUBLÍK, F. Some tests on exponential populations. In Tatra Mountains Mathematical Publications. Vol. 7 (1996), p. 229-235.

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    METRIKA 2003, Vol 57, Iss 2, pp 145-164

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    TATRA MOUNTAINS MATHEMATICAL PUBLICATIONS 2003, Vol 26, pp 381-390

 

  • SEIFERT, M.H.J. – JAKOB, P.M. – JELLÚŠ, V. – HAASE, A. – HILLENBRAND, C. High–resolution diffusion imaging using a radial turbo-spin-echo sequence: implementation, eddy current compensation, and self – navigation. In Journal of Magnetic Resonance. Vol. 144 (2000), p. 243-254.

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  • SENAJ, V. – GUILLOT, G. – DARRASSE, L. Inductive measurement of magnetic field gradients for magnetic resonance imaging. In Review of Scientific Instruments. Vol. 69, no. 6 (1998), p. 2400-2405.

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  • SKÁKALA, M. – ZRUBEC, V. MAŇKA, J. Active compensation for ambient magnetic noise in the unshielded enviroment. In Measurement Science and Technology. Vol. 4 (1993), p. 468-472.

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  1. Hilgenfeld B; Strahmel E; Nowak H; Haueisen J
    PHYSIOLOGICAL MEASUREMENT 2003, Vol 24, pp 661

 

  • STADNIK, T.W. – CHASKIS, C. – MICHOTTE, A. – SHABANA, W.M. – VAN ROMPAEY, K. – LUYPAERT, R. – BUDINSKÝ, Ľ.JELLÚŠ, V. – OSTEAUX, M.
    Diffusion-weighted MR imaging of intracerebral masses: comparison with conventional MR imaging and histologic findings. In American Journal of Neuroradiology. Vol. 22 (2001), p. 969-976.

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  1. Sadeghi N; Camby I; Goldman S; Gabius HJ; Baleriaux D; Salmon I; Decaesteckere C; Kiss R; Metens T
    AMERICAN JOURNAL OF ROENTGENOLOGY 2003, Vol 181, Iss 1, pp 235-241
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    RADIOLOGE 2003, Vol 43, Iss 4, pp 319-321
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    AKTUELLE NEUROLOGIE 2003, Vol 30, Iss 4, pp 159-164
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    NEURORADIOLOGY 2003, Vol 45, Iss 12, pp 865-868
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    NEUROLOGY 2003, Vol 61, Iss 12, pp 1821-1823
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    RIVISTA DI NEURORADIOLOGIA 2003, Vol 16, Iss 5, pp 795-797
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    ANNALES DE MEDECINE INTERNE 2003, Vol 154, Iss 8, pp 515-521

 

  • TYŠLER, M.TURZOVÁ, M. – ŠVEHLÍKOVÁ, J. Repolarization changes displayed in surface ARI maps. A simulation study. In International Journal of Bioelectromagnetism. Vol. 4, no. 2 (2002), p. 99-100.

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    MEASUREMENT 2003: 4rd INTERNATIONAL CONFERENCE ON MEASUREMENT, Bratislava: Institute of Measurement Science, SAS, 2003, P 129-131
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  • URBAN, A. – BARTOK, K. – PODOLAN, Ľ. – SKRÚCANÝ, R. – CIGÁŇ, A.JURČA, K. Superconducting quantummagnetometer SKM-2. In Dni nové techniky elektronického výskumu 1983. 1. diel. Praha: Tesla VÚST, 1983. P. 253-261.

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  • WEIS, J. – BUDINSKÝ, L. Simulation of the influence of magnetic-field inhomogeneity and distortion correction in mr imaging. In Magnetic Resonance Imaging. Vol. 8, no. 4 (1990), p. 483-489.

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    MAGNETIC RESONANCE IN MEDICINE 2003, Vol 50, Iss 4, pp 791-801
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    NEUROIMAGE 2003, Vol 20, Iss 2, pp 870-888

 

  • WIMMER, G. – WITKOVSKÝ, V. Between group variance component interval estimation for the unbalanced heteroscedastic one-way random effects model. In Journal of Statistical Computation and Simulation. Vol. 73 (2003), p. 333-346.

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  • WIMMER, G. – WITKOVSKÝ, V. – ALTMANN, G. Modification of probability distributionsapplied to word length research. In Journal of Quantitative Linguistics. Vol 6, no. 3 (1999), p. 257-268.

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    QUANTITATIVE LINGUISTIK EINE ANNAHARUNG, Göttingen: Peust & Gutschmidt Verlag, 2003
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  • WITKOVSKÝ, V. Computing the distribution of a linear combination of inverted gamma variables. In Kybernetika. Vol 37 (2001), p. 79-90.

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  • WITKOVSKÝ, V. Exact distribution of positive linear combinations of inverted chi-square random variables with odd degrees of freedom. In Statistics & Probability Letters. Vol. 56 (2002), p. 45-50.

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  • WITKOVSKÝ, V. Exact tests of variance components using generalized p-values. In Folia Facultatis scientarium naturalium Universitatis Masarykianae Brunensis: Mathematica. Vol. 9 (2001), p. 119-125.

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  • WITKOVSKÝ, V. MATLAB algroithm mixed.m for solving Henderson’s mixed model equations. In The Mathematics Preprint Server, 2002. http://www.mathpreprints.com/math/Preprint/viktorw/20011227/3/?=&coll=Selection

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    METHODS OF MICROARRAY DATA ANALYSIS III: PAPERS FROM CAMDA ’02, Kluwer 2003
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  • WITKOVSKÝ, V. 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. Vol. 94 (2001), p. 1-13.

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  • WITKOVSKÝ, V. – WIMMER, G. On statistical models for consensus values. In MEASUREMENT 1997: International Conference on Measurement. Bratislava: Institute of Measurement Science, SAS, 1997. P. 32-35.

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    MEASUREMENT SCIENCE REVIEW 2003, Vol 3, pp 91-94

 

Doplnky za rok 2002

 

  • BAJLA, I. – ŠRÁMEK, M. Improvement of3D visualization of thebrain using anisotropic diffusion smoothing of MR data. In Healthcare Technology and Management. Special Series of the International Journal of Technology Management. Vol. 1, no. 3/4 (1999), p. 390-400.

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    IEEE TRANSACTIONS ON MEDICAL IMAGING 2002, Vol 21, Iss 4, pp 377-384

 

  • BAJLA, I. – ŠRÁMEK-M. Improvement of 3D visualization of the brain using anisotropic diffusion smoothing of MR data. In Proceedings of MEDINFO`95: 8th World Congress on Medical Informatics. Edmonton: International Medical Informatics Association, 1995. P. 683-686.

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  1. Bayram E; Ge YR; Wyatt HL
    IEEE ENGINEERING IN MEDICINE AND BIOLOGY 2002, Vol 21, pp 156-160

 

  • ROSIPAL, R. – KOSKA, M. – FARKAŠ, I. Prediction of chaotic time-series with a resource-allocating RBF network. In Neural Processing Letters. Vol. 7, no. 3 (1998), p. 185-197.

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    EVOLVING CONNECTIONIST SYSTEMS: METHODS AND APPLICATIONS IN BIOINFORMATICS, BRAIN STUDY AND INTELLIGENT MACHINES, London: Springer, 2002

 

  • RUBLÍK, F. Tests of some hypotheses on characteristic roots of covariance matrices not requiring normality assumptions. In Kybernetika. Vol. 37, no. 1 (2001), p. 61-78.

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    SBORNÍK REFERÁTŮ XV. LETNÍ ŠKOLY BIOMETRIKY, Brno, 2002

 

  • WITKOVSKÝ, V. On variance-covariance components estimation in linear models with AR(1) disturbances. In Acta Mathematica Universitatis Comenianae. Vol. 65 (1996), p. 129-139.

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  1. Stulajter F
    PREDICTIONS IN TIME SERIES USING REGRESSION MODELS, New York: Springer, 2002