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  • BAJLA, I. – ŠRÁMEK, M. Improvement of 3D visualization of the brain using anisotropic diffusion smoothing of MR data. In Medinfo. Vol. 8, no. 1 (1995), p. 683-686.

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  • BARTL, J. – FÍRA, R. – HAIN, M. Inspection of surface by the Moiré method. In Measurement Science Review, Vol. 1 (2001), p. 29-32.

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    SCAN REAL-TIME IMAGING 2004, Vol 10, Iss 4, pp 217-228
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  • CIGÁŇ, A. – MAŇKA, J. – MAIR, M. – GRITZNER, G. – PLESCH, G. – ZRUBEC, V. Influence of the Tl- and Hg-content on magnetic and transport properties of the Pb, Sr-doped Tl-1223 and Hg-1223 superconductors. In Physica C, Vol. 320 (1999), p. 267-276.

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

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  • 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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  • FARKAŠ, I. – LI, P. Modeling the development of lexicon with a growing self-organizing map. In Proceedings of the 6th Joint Conference on Information Sciences. Durham, North Carolina, 2002. P.553-556.

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

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  • GRENDÁR, M. – GRENDÁR, M. Maximum entropy: clearing up mysteries. In Entropy. Vol. 3 (2001), p. 58-63.

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  • HANIC, F. – HARTMANOVÁ, M. – KUNDRÁČIK, F. – LOMONOVÁ, E.E. Stabilization and properties of high temperature forms of zirconia. In Solid State Chemistry V : Solid StatePhenomena. Vol. 90-91 (2003), p. 303-308.

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  • CHROMÍK, S. – JERGEL, M. – GAZI, S. – ŠTRBÍK, V. – HANIC, F. – FALCONY, C. – VAŠKO, M. – BEŇAČKA, S. Influence of substrate and precursor film composition on morphology and superconducting transition of T1-2212 thin films characterized by microwaves. In Physica C. Vol. 354, no. 1-4 (2001), p. 429-432.

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  • 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. 481-489.

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  • 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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  • LI, P. – FARKAŠ, I. A self-organizing connectionist model of bilingual processing. In Bilingual Sentence Processing. North-Holland : Elsevier Science Publisher, 2002. P. 59-85.

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  • MARKOŠOVÁ, M. Siete malého sveta. In Kognícia a umelý život : zborník z konferencie. 2003. P. 227.

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  • MATEJ, S. – LEWITT, RM. Practical considerations for 3-D image reconstruction using pherically symmetric volume elements. In IEEE Transactions on Medical Imaging, Vol. 15 (1996), p. 68-78.

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  • MLYNÁRIK, V. – SZOMOLÁNYI, P. – TOFFANIN, R. – VITTUR, F. – TRATTNIG, S. Transverse relaxation mechanisms in articular cartilage. In Journal of Magnetic Resonance. Vol. 169, no. 2 (2004), p. 300-307.

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  • MOJUMDAR, S.C. – RAY, A. – DRÁBIK, M. – CIGÁŇ, A. – HANIC, F. – ČAPEK, P. Macro-defect-free (MDF) cements with high moisture resistance: Chemical, thermal, SEM and magnetometric study. In Solid State Chemistry V : Solid State Phenomena. Vol. 90-91 (2003), p. 365-370.

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

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  • ROSIPAL, R. – TREJO, L.J. – MATTHEWS, B. Kernel PLS-SVC for linear and nonlinear classification. In Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003). Washington DC, US, 2003. P. 640-647.

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  • RUBLÍK, F. A quantile goodness-of-fit test applicable to distributions with non-differentiable densities. In Kybernetika. Vol. 33, no. 5 (1997), p. 505-524.

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  • 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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  • 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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    APPLIED OPTICS 2003, Vol 42, Iss 8, pp 1441-1450
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    JOURNAL OF NUCLEAR MEDICINE 2003, Vol 44, Iss 5, pp 756-769
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    JOURNAL OF APPLIED CRYSTALLOGRAPHY 2003, Vol 36, pp 1062-1068
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    LECTURE NOTES IN COMPUTER SCIENCE 2003, Vol 2565, pp 166-180
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    PHILOSOPHICAL MAGAZINE 2003, Vol 83, Iss 24, pp 2761-2778
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    INVERSE PROBLEMS 2003, Vol 19, Iss 4, pp 933-949
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    IEEE TRANSACTIONS ON MEDICAL IMAGING 2003, Vol 22, Iss 10, pp 1202-1214
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  • ROSIPAL, R. – TREJO, L.J. – MATTHEWS, B. Kernel PLS-SVC for linear and nonlinear classification. In Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003). Washington DC, US, 2003. P. 640-647.

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    LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 2003, Vol 2842, pp 175-189

 

  • 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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    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY 2003, Vol 27, Iss 5, pp 681-686
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    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2003,Vol 9, Iss 1, pp 3-15

 

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