1. * Tomáš Suk, Jan Flusser, Jiří Boldyš: 3D rotation invariants by complex moments. Pattern Recognition 48:11 (2015), 3516-3526. Elsevier. Download |
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2. * Jan Flusser, Tomáš Suk, Jiří Boldyš, Barbara Zitová: Projection Operators and Moment Invariants to Image Blurring. IEEE Transactions on Pattern Analysis and Machine Intelligence 37:4 (2015), 786-802. IEEE Computer Society. Download |
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3. * Jiří Dvořák, Jiří Boldyš, M. Skopalová, O. Bělohlávek: Application of the random field theory in PET imaging - injection dose optimization. Kybernetika 49:2 (2013), 280-300. Ústav teorie informace a automatizace AV ČR, v. v. i.. Download |
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4. * Jiří Boldyš, Jiří Dvořák, M. Skopalová, O. Bělohlávek: Monte Carlo simulation of PET images for injection doseoptimization. International Journal for Numerical Methods in Biomedical Engineering 29:9 (2013), 988-999. Download |
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5. * Jiří Boldyš, Jan Flusser: Extension of Moment Features’ Invariance to Blur. Journal of Mathematical Imaging and Vision 32:1 (2008), 227-238. Springer. Download |
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6. * Jiří Boldyš, R. Hrach: Thin film description by wavelet coefficients statistics. Czechoslovak Journal of Physics 55:1 (2005), 55-64. Springer. Download |
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7. * Jiří Boldyš, R. Hrach: Multiscale semicontinuous thin film descriptors. Central European Journal of Physics 2:4 (2004), 645-659. Download |
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8. * Jan Flusser, Jiří Boldyš, Barbara Zitová: Moment forms invariant to rotation and blur in arbitrary number of dimensions. IEEE Transactions on Pattern Analysis and Machine Intelligence 25:2 (2003), 234-246. IEEE Computer Society. Download |
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9. * Jan Flusser, Jiří Boldyš, Barbara Zitová: Invariants to convolution in arbitrary dimensions. Journal of Mathematical Imaging and Vision 13:2 (2000), 101-113. Springer. Download |
1. * Jiří Boldyš, Jan Flusser: Invariants to symmetrical convolution with application to dihedral kernel symmetry. Image Analysis and Processing – ICIAP 2013, 369-378. Springer-Verlag, Berlin 2013. Download |
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2. * Jan Flusser, Tomáš Suk, Jiří Boldyš, Barbara Zitová: Blur Invariants and Projection Operators. Signal Processing, Pattern Recognition and Applications, 305-312. ACTA Press, Indbruck 2013. |
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3. * Jiří Boldyš, Jiří Dvořák, O. Bělohlávek, M. Skopalová: Monte Carlo simulation of PET images for injection dose optimization. Computational Vision and Medical Image Processing: VipIMAGE 2011, 1-6. Taylor and Francis, London 2011. Download |
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4. * Filip Šroubek, Michal Šorel, Jiří Boldyš, J. Šroubek: PET Image Reconstruction Using Prior Information from CT or MRI. Proceedings of the IEEE 16th International Conference on Image Processing ICIP 2009, 2493-2496. IEEE, Cairo 2009. Download |
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5. * Jiří Boldyš, B. Besserer: Exemplar-based inpainting with rotation invariant patch matching. First International Conference on Computer Vision Theory and Applications, 1-6. INSTICC Press, Setúbal 2006. Download |
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6. * G. Forbin, B. Besserer, Jiří Boldyš, D. Tschumperlé: Temporal Extension to Exemplar-based Inpainting Applied to Scratch Correction in Damaged Image Sequences. Proceedings of the Fifth IASTED International Conference on Visualization, Imaging and Image Processin, 1-5. ACTA Press, Anaheim 2005. Download |
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7. * Jiří Boldyš: Bayesian supervised segmentation of objects in natural images using low-level information. Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis, 2003, 1054-1059. IEEE, Roma 2003. Download |
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8. * Jan Flusser, Jiří Boldyš: Registration of N-D images by blur invariants. Biomedical Image Registration, 163-172. Slovenian Pattern Recognition Society, Ljubljana 1999. Download |
1. * Otakar Bělohlávek, Magdaléna Skopalová, Jiří Boldyš, Jiří Dvořák: Hmotnostní korekce aplikované aktivity 18F-FDG při PET vyšetření. PET centrum Nemocnice Na Homolce, Praha 2011. Download |