Tanacs A, Majdik A, Hajder L, Molnar J, Santa Z, Kato Z. Collaborative Mobile 3D Reconstruction of Urban Scenes. In: Chen C-S, Kankanhall M, Lai S-H, Hwee J, editors. Proceedings of the ACCV Workshop on Intelligent Mobile and Egocentric Vision (ACCV-IMEV), Lecture Notes in Computer Science. Singapore: Springer; 2015. 1. p. 1-16p. 

Tanacs A, Lindbald J, Sladoje N, Kato Z. Estimation of linear deformations of 2D and 3D fuzzy objects. PATTERN RECOGNITION. 2015;48(4):1387-1399.

Domokos C, Kato Z. Realigning 2D and 3D Object Fragments without Correspondences. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 2015;pp(99):1.

Molnar J, Frohlich R, Dmitrij C, Kato Z. 3D Reconstruction of Planar Patches Seen by Omnidirectional Cameras. In: Bouzerdoum A, Wang L, Ogunbona P, Li W, Phung SLam, editors. International Conference on Digital Image Computing: Techniques and Applications (DICTA). Wollongong, Australia: IEEE; 2014. 1. p. 1-8p. 

Molnar J, Huang R, Kato Z. 3D Reconstruction of Planar Surface Patches: A Direct Solution. In: Zhang J, Bennamoun M, Porikli F, editors. Proceedings of the ACCV Workshop on Big Data in 3D Computer Vision (ACCV-BigData3DCV). Singapore, Szingapúr: Springer; 2014. 1. p. 1-8p. .

Santa Z, Kato Z. Affine Alignment of Occluded Shapes. In: Felsberg M, editor. International Conference on Pattern Recognition (ICPR). Stockholm, Svédország: IEEE; 2014. 2. p. 2155-2160p. 

Tanacs A, Majdik A, Molnar J, Rai A, Kato Z. Establishing Correspondences between Planar Image Patches. In: Bouzerdoum A, Wang L, Ogunbona P, Li W, Phung SLam, editors. International Conference on Digital Image Computing: Techniques and Applications (DICTA). Wollongong, Australia: IEEE; 2014. 1. p. 1-7p. 

Balázs P, Katona E, Kato Z, Nagy A, Németh G, Nyúl LG, et al. Képfeldolgozás a szegedi informatikus-képzésben. In: Kunkli R, Papp I, Rutkovszky E, editors. Informatika a fels?oktatásban 2014. Debrecen, Hungary: University of Debrecen; 2014. 6. p. 667-675p. 

Tanacs A, Lindblad J, Sladoje N, Kato Z. 2D és 3D bináris objektumok lineáris deformáció-becslésének numerikus megoldási lehet?ségei. In: Czúni L, editor. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2013. Veszprém: NJSZT-KÉPAF; 2013. 5. p. 526-541p. 

Santa Z, Kato Z. Correspondence-less non-rigid registration of triangular surface meshes. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Portland, OR, USA: IEEE; 2013. 2. p. 2275-2282p. 

Santa Z, Kato Z. Elastic Registration of 3D Deformable Objects. In: West G, Kövesi P, editors. Proceedings of International Conference on Digital Image Computing: Techniques and Applications (DICTA). New York: IEEE; 2013. 1. p. 1-7p. 

Juhász E, Tanacs A, Kato Z. Evaluation of Point Matching Methods for Wide-baseline Stereo Correspondence on Mobile Platforms. In: Ramponi G, Lon?ari? S, Carini A, Egiazarian K, editors. Proceedings of the International Symposium on Image and Signal Processing and Analysis (ISPA). Trieste: IEEE; 2013. 8. p. 806-811p. 

Kato Z. Linear and nonlinear shape alignment without correspondences. In: Richard P, Csurka G, editors. Proceedings of International Joint Conference on Computer Vision, Imaging and Computer Graphics - Theory and Applications (Revised Selected Papers). Berlin; Heidelberg; New York; London; Paris; Tokyo: Springer Verlag; 2013. 3. p. 3-17p.  (Communications in Computer and Information Science).

Santa Z, Kato Z. Pose Estimation of Ad-hoc Mobile Camera Networks. In: de Souza P, Engelke U, Rahman A, editors. International Conference on Digital Image Computing: Techniques and Applications (DICTA). Hobart, TAS : IEEE; 2013. 8. p. 88-95p. 

Levente T, Kato Z. Targetless Calibration of a Lidar - Perspective Camera Pair. In: Zhang J, Bennamoun M, Schonfeld D, Zhang Z, editors. Proceedings of ICCV Workshop on Big Data in 3D Computer Vision. Sydney, NSW : IEEE; 2013. 6. p. 668-675p. 

Kato Z. A unifying framework for correspondence-less shape alignment and its medical applications. In:  Intelligent Interactive Technologies and Multimedia . Vol 276 CCIS. Allahabad, India: Springer; 2013. 4. p. 40-52p.  (Communications in Computer and Information Science; vol 276 CCIS).

Varjas V, Tanacs A, Kato Z. Affine Registration of 3D Objects.; 2012.

Kato Z, Zerubia J. Markov random fields in image segmentation. Hanover, NH: Now Publishers; 2012.

Molnar C, Kato Z, Jermyn I. A Multi-Layer Phase Field Model for Extracting Multiple Near-Circular Objects. In: Eklundh J-O, Ohta Y, Tanimoto S, editors. International Conference on Pattern Recognition (ICPR). Tsukuba, Japan: IEEE; 2012. 1. p. 1427-1430p. 

Domokos C, Nemeth J, Kato Z. Nonlinear Shape Registration without Correspondences. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. 2012;34(5):943-958.

Qazi I-, Alata O, Kato Z. Parametric Stochastic Modeling for Color Image Segmentation and Texture Characterization. In: Fernandez-Maloigne C, editor. Advanced color image processing and analysis. Berlin; Heidelberg; New York; London; Paris; Tokyo: Springer; 2012. 2. p. 279-325p. 

Domokos C, Kato Z. Simultaneous Affine Registration of Multiple Shapes. In: Eklundh J-O, Ohta Y, Tanimoto S, editors. International Conference on Pattern Recognition (ICPR). Tsukuba, Japan: IEEE; 2012. 9. p. 9-12p. 

Mitra J, Kato Z, Ghose S, Sidibe D, Martí R, Lladó X, et al. Spectral clustering to model deformations for fast multimodal prostate registration. In: Eklundh J-O, Ohta Y, Tanimoto S, editors. International Conference on Pattern Recognition (ICPR). Tsukuba, Japan: IEEE; 2012. 2. p. 2622-2625p. 

Mitra J, Kato Z, Martí R, Arnau O, Lladó X, Sidibe D, et al. A spline-based non-linear diffeomorphism for multimodal prostate registration. MEDICAL IMAGE ANALYSIS. 2012;16(6):1259-1279.

Kato Z. A Unifying Framework for Correspondence-less Linear Shape Alignment. In: Campilho A, editor. International Conference on Image Analysis and Recognition (ICIAR). Aveiro, Portugal: Springer Verlag; 2012. 2. p. 277-284p.  (Lecture Notes in Computer Science).

Santa Z, Kato Z. A Unifying Framework for Non-linear Registration of 3D Objects. In: IEEE International Conference on Cognitive Infocommunications (CogInfoCom). Kosice, Slovakia : IEEE; 2012. 5. p. 547-552p. 

Tanacs A, Lindblad J, Sladoje N, Kato Z. 3D objektumok lineáris deformációinak becslése. In: Kato Z, Palágyi K, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2011. Szeged: NJSZT; 2011. 4. p. 471-480p. 

Domokos C, Kato Z. Affin Puzzle: Deformált objektumdarabok helyreállítása megfeleltetések nélkül. In: Kato Z, Palágyi K, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2011. Szeged: NJSZT; 2011. 2. p. 206-220p. 

Gara M, Balázs P. Bináris tomográfiai rekonstrukció objektum alapú evolúciós algoritmussal. In: Kato Z, Palágyi K, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2011. Szeged: NJSZT; 2011. 1. p. 117-127p. 

Lesko M, Kato Z, Nagy A, Gombos I, Török Z, Vígh L, et al. Él?sejt szegmentálása gráfvágás segítségével fluoreszcenciás mikroszkóp képeken. In: Kato Z, Palágyi K, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2011. Szeged: NJSZT; 2011. 3. p. 319-328p. 

Tanacs A, Kato Z. Fast linear registration of 3D objects segmented from medical images. In: Ding Y, Peng Y, Shi R, Hao K, Wang L, editors. Biomedical Engineering and Informatics (BMEI). Shanghai: IEEE; 2011. 2. p. 294-298p. 

Kardos P, Németh G, Palágyi K. Iterációnkénti simítással kombinált vékonyítás. In: Kato Z, Palágyi K, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2011. Szeged: NJSZT; 2011. 1. p. 174-189p. 

Hantos N, Balázs P. Mediánsz?rés alkalmazása algebrai rekonstrukciós módszerekben. In: Kato Z, Palágyi K, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2011. Szeged: NJSZT; 2011. 1. p. 106-116p. 

Nemeth J, Kato Z, Jermyn I. A Multi-Layer 'Gas of Circles' Markov Random Field Model for the Extraction of Overlapping Near-Circular Objects. In: Blanc-Talon J, Philips W, Popescu D, Scheunders P, Kleihorst R, editors. Advances Concepts for Intelligent Vision Systems (ACIVS). Ghent, Belgium: Springer-Verlag; 2011. 1. p. 171-182p.  (Lecture Notes in Computer Science).

Mitra J, Kato Z, Martí R, Arnau O, Lladó X, Ghose S, et al. A non-linear diffeomorphic framework for prostate multimodal registration. In: International Conference on Digital Image Computing: Techniques and Applications (DICTA). Noosa, QLD : IEEE; 2011. 3. p. 31-36p. 

Török Z, Domokos C, Nemeth J, Kato Z. Nonlinear Shape Registration without Correspondences.; 2011.

Kato Z, Czúni L. Számítógépes látás. Budapest: Typotex Kiadó; 2011.

Németh G, Kardos P, Palágyi K. A topológia-meg?rzés elegend? feltételein alapuló 3D párhuzamos vékonyító algoritmusok. In: Kato Z, Palágyi K, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2011. Szeged: NJSZT; 2011. 1. p. 190-205p. 

Varga L, Balázs P, Nagy A. Vetületi irányfügg?ség a bináris tomográfiában. In: Kato Z, Palágyi K, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2011. Szeged: NJSZT; 2011. 9. p. 92-105p. 

Domokos C, Kato Z. Affine puzzle: Realigning deformed object fragments without correspondences. In: Daniilidis K, Maragos P, Paragios N, editors. European Conference on Computer Vision (ECCV). Crete, Greece: Springer; 2010. 7. p. 777-790p.  (Lecture Notes in Computer Science).

Tanacs A, Lindblad J, Sladoje N, Kato Z. Estimation of linear deformations of 3D objects. In: IEEE International Conference on Image Processing (ICIP). Hong Kong, Hong Kong: IEEE; 2010. 1. p. 153-156p. 

Lesko M, Kato Z, Nagy A, Gombos I, Török Z, Vígh L, et al. Live cell segmentation in fluorescence microscopy via graph cut. In: Ercil A, editor. 20th international conference on pattern recognition (ICPR 2010). Istanbul, Turkey: IEEE; 2010. 1. p. 1485-1488p. 

Domokos C, Kato Z. Parametric estimation of affine deformations of planar shapes. PATTERN RECOGNITION. 2010;43(3):569-578.

Dipanda A, Kato Z. SITIS 2010: Track SIT editorial message: Signal and Image Technologies. In: Dipanda A, Chbeir R, Yetongnon K, editors. Proceedings of the 6th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2010. Kuala Lumpur: IEEE Computer Society Press; 2010. X. XV.

Domokos C, Kato Z. Affine alignment of compound objects: A direct approach. In: 16th IEEE International Conference on Image Processing (ICIP), 2009. Cairo, Egypt: IEEE; 2009. 1. p. 169-172p. 

Katona Z, Domokos C, Kato Z. Affine Registration of Planar Shapes.; 2009.

Benedek C, Sziranyi T, Kato Z, Zerubia J. Detection of Object Motion Regions in Aerial Image Pairs with a Multilayer Markovian Model. IEEE TRANSACTIONS ON IMAGE PROCESSING. 2009;18(10):2303-2315.

Horvath P, Jermyn I, Kato Z, Zerubia J. A higher-order active contour model of a 'gas of circles' and its application to tree crown extraction. PATTERN RECOGNITION. 2009;42(5):699-709.

Blaskovics T, Jermyn I, Kato Z. Kör alakú objektumok szegmentálása Markov mez? segítségével. In: Chetverikov D, Sziranyi T, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2009. Budapest: Akaprint; 2009. 1. p. 1-9p. 

Blaskovics T, Kato Z, Jermyn I. A Markov random field model for extracting near-circular shapes. In: 16th IEEE International Conference on Image Processing (ICIP). Cairo, Egypt: IEEE; 2009. 1. p. 1073-1076p. 

Nemeth J, Domokos C, Kato Z. Nonlinear registration of binary shapes. In: 16th IEEE International Conference on Image Processing (ICIP). Cairo, Egypt: IEEE; 2009. 1. p. 1101-1104p. 

Tanacs A, Domokos C, Sladoje N, Lindblad J, Kato Z. Recovering affine deformations of fuzzy shapes. In: Salberg A-B, Hardeberg JYngve, Jenssen R, editors. Image Analysis. Oslo, Norway: Springer-Verlag; 2009. 7. p. 735-744p.  (Lecture Notes in Computer Science).

Nemeth J, Domokos C, Kato Z. Recovering planar homographies between 2D shapes. In: , editor. 12th International Conference on Computer Vision, ICCV 2009. IEEE; 2009. 2. p. 2170-2176p. 

Domokos C, Kato Z. Síkbeli alakzatok regisztrációja kovariáns függvények felhasználásával. In: Chetverikov D, Sziranyi T, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2009. Budapest: Akaprint; 2009. 1. p. 1-8p. 

Nemeth J, Domokos C, Kato Z. Síkhomográfia paramétereinek becslése bináris képeken. In: Chetverikov D, Sziranyi T, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2009. Budapest: Akaprint; 2009. 1. p. 1-8p. 

Gara M, Kato Z. Supervised Color Image Segmentation in a Markovian Framework.; 2009.

Domokos C, Kato Z. Binary image registration using covariant gaussian densities. In: Campilho A, editor. Image Analysis and Recognition. Póvoa de Varzim, Portugal: Springer; 2008. 4. p. 455-464p.  (Lecture Notes in Computer Science).

Balázs P, Erd?helyi B, Katona E, Kato Z, Máté E, Nagy A, et al. A képfeldolgozás kutatása a Szegedi Tudományegyetemen. In: Peth? A, Herdon M, editors. Informatika a fels?oktatásban 2008. Debrecen: Debreceni Egyetem Informatikai Kar; 2008. 

Domokos C, Kato Z, Francos J. Parametric estimation of affine deformations of binary images. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Las Vegas, NV, USA: IEEE; 2008. 8. p. 889-892p. 

Kato Z. Segmentation of color images via reversible jump MCMC sampling. IMAGE AND VISION COMPUTING. 2008;26(3):361-371.

Horvath P, Jermyn I, Kato Z, Zerubia J. Kör alakú objektumok szegmentálása magasabb rend? aktív kontúr modellek segítségével. In: Fazekas A, Hajdú A, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2007. Debrecen: Képfeldolgozók és Alakfelismer?k Társasága; 2007. 1. p. 133-140p. 

Kato Z. Markovian Image Models and their Application in Image Segmentation.; 2007.

Domokos C, Kato Z, Francos J. Parametric Estimation of Two-Dimensional Affine Transformations of Binary Images. In: Fazekas A, Hajdú A, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2007. Debrecen: Képfeldolgozók és Alakfelismer?k Társasága; 2007. 2. p. 257-265p. 

Benedek C, Sziranyi T, Kato Z, Zerubia J. A Three-layer MRF model for Object Motion Detection in Airborne Images.; 2007.

Horvath P, Jermyn I, Kato Z, Zerubia J. A higher-order active contour model for tree detection. In: Tang YY, editor. Proceedings of the18th International Conference on Pattern Recognition, ICPR 2006. IEEE; 2006. 1. p. 130-133p. 

Horvath P, Jermyn I, Kato Z, Zerubia J. A Higher-Order Active Contour Model for Tree Detection. In: Proceedings of the International Conference on Pattern Recognition (ICPR). Vol 2. Hong Kong, China: IAPR; 2006. 1. p. 130-133p. 

Horvath P, Jermyn I, Kato Z, Zerubia J. A Higher-Order Active Contour Model of a `Gas of Circles' and its Application to Tree Crown Extraction.; 2006.

Horvath P, Jermyn I, Kato Z, Zerubia J. An Improved `Gas of Circles' Higher-Order Active Contour Model and its Application to Tree Crown Extraction. In: Kalra P, Peleg S, editors. Proceedings of Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP). Berlin; Heidelberg; New York: Springer Verlag; 2006. 1. p. 152-161p. 

Kato Z, Pong T. A Markov random field image segmentation model for color textured images. IMAGE AND VISION COMPUTING. 2006;24(10):1103-1114.

Benedek C, Sziranyi T, Kato Z, Zerubia J. A multi-layer MRF model for object-motion detection in unregistered airborne image-pairs. In: , editor. Proceedings - 14th International Conference on Image Processing, ICIP 2007. Piscataway: IEEE; 2006. V. VI-p. 141-p.  VI-144.

Kato Z, Pong T. A multi-layer MRF model for video object segmentation. In: Narayanan P J, Nayar S K, Shum H Y, editors. COMPUTER VISION - ACCV 2006, PT II. Springer Verlag; 2006. 9. p. 953-962p. 

Horvath P, Bhattacharya A, Jermyn I, Zerubia J, Kato Z. Shape Moments for Region Based Active Contours. In: Chetverikov D, Czúni L, Vincze M, editors. Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (KÉPAF), 29th workshop of the Austrian Association for Pattern Reco. Vienna: OCG; 2005. 1. p. 187-194p. 

Gradwohl C, Kato Z. Supervised Image Segmentation Using Markov Random Fields.; 2005.

Kato Z, Pong T. Video Object Segmentation Using a Multicue Markovian Model. In: Chetverikov D, Czúni L, Vincze M, editors. Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (KÉPAF), 29th workshop of the Austrian Association for Pattern Reco. Vienna: OCG; 2005. 1. p. 111-118p. 

Horvath P, Kato Z. Color, Texture and Motion Segmentation Using Gradient Vector Flow. In: A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2004. Miskolctapolca; 2004. 1. p. 131-137p. 

Kato Z, Pong T, Qiang SG. Color textured image segmentation using a multi-layer Markovian model. In: A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2004. Miskolctapolca; 2004. 1. p. 152-158p. 

Horvath P, Kato Z. Optical Flow Computation Using an Energy Minimization Approach. In: A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2004. Miskolctapolca; 2004. 1. p. 125-130p. 

Kato Z. Reversible Jump Markov Chain Monte Carlo for Unsupervised MRF Color Image SegmentationProceedings of Brithish Machine Vision Conference (BMVC). In: Hoppe A, Barman S, Ellis T, editors. BMVA; 2004. 3. p. 37-46p. 

Kato Z. Reversible Jump Markov Chain Monte Carlo for Unsupervised MRF Color Image Segmentation. In: A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2004. Miskolctapolca; 2004. 1. p. 144-151p. 

Nagy A, Balogh E, Dudásné Nagy M, Kuba A, Máté E, Palágyi K, et al. Számítógépes képfeldolgozás oktatása a Szegedi Tudományegyetemen. In: Gácsi Z, Barkóczy P, Sárközi G, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 2004. Miskolc: Neumann János Számítógép-tudományi Társaság; 2004. 1. p. 191-196p. 

Ji X, Kato Z, Huang Z. Non-Photorealistic Rendering and Content-Based Image Retrieval. In: Rokne J, Klein R, Wang W, editors. Proceedings of 11th Pacific Conference on Computer Graphics and Applications (PG). New York: IEEE Computer Soc. Pr.; 2003. 1. p. 153-162p. 

Kato Z, Pong T, Qiang SG. Unsupervised segmentation of color textured images using a multi-layer MRF model. In: , editor. ICIP 2003: IEEE International Conference on Image Processing. IEEE; 2003. 9. p. 961-964p. 

Kato Z, Ji X, Sziranyi T, Tóth Z, Czúni L. Content-based image retrieval using stochastic paintbrush transformation. In: , editor. IEEE - International Conference on Image Processing: ICIP. Aix-en-Provence: IEEE Computer Society Press; 2002. 9. p. 944-947p. 

Zerubia J, Jalobeanu A, Kato Z. Markov random fields in image processing application to remote sensing and astrophysics. JOURNAL DE PHYSIQUE IV. 2002;12(1):117-136.

Kato Z, Pong T, Qiang SG. Multicue MRF image segmentation: Combining texture and color features. In: Katsuri R, Laurendeau D, Suen CY, editors. Proceedings 16th International Conference on Pattern Recognition (ICPR 2002). IEEE Computer Society; 2002. 6. p. 660-663p. 

Kato Z, Pong T, Lee C-. Color image segmentation and parameter estimation in a markovian framework. PATTERN RECOGNITION LETTERS. 2001;22(3-4):309-321.

Kato Z, Pong T. A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features. In: Skarbek W, editor. Proceedings of International Conference on Computer Analysis of Images and Patterns (CAIP). Berlin; Heidelberg: Springer Verlag; 2001. 5. p. 547-554p. 

Sziranyi T, Zerubia J, Czúni L, Geldreich D, Kato Z. Image segmentation using Markov random field model in fully parallel cellular network architectures. REAL-TIME IMAGING. 2000;6(3):195-211.

Kato Z. Bayesian Color Image Segmentation Using Reversible Jump Markov Chain Monte Carlo.; 1999.

Kato Z. Bayesian Color Image Segmentation Using Reversible Jump Markov Chain Monte Carlo. Amsterdam, The Netherlands: ERCIM/CWI; 1999.

Kato Z, Zerubia J, Berthod M. Unsupervised parallel image classification using Markovian models. PATTERN RECOGNITION. 1999;32(4):591-604.

Kato Z, Pong T, Lee JC. Motion Compensated Color Video Classification Using Markov Random Fields. In: Chin R, Pong T C, editors. Proceedings of Asian Conference on Computer Vision (ACCV). Berlin; Heidelberg: Springer Verlag; 1998. 7. p. 738-745p. 

Kato Z, Pong T, Lee JC. Color Image Classification and Parameter Estimation in a Markovian FrameworkProceedings of Workshop on 3D Computer Vision. In: Tsui HTat, Chung CKit Ronald, editors.; 1997. 7. p. 75-79p. 

Sziranyi T, Zerubia J, Czúni L, Geldreich D, Kato Z. Image segmentation using Markov random field model in fully parallel cellular network architectures..; 1997.

Sziranyi T, Zerubia J, Czúni L, Geldreich D, Kato Z. Markov Random Field Image Segmentation using Cellular Neural Network.; 1997.

Kato Z, Pong T, Lee JC. Motion Compensated Color Image Classification and Parameter Estimation in a Markovian Framework.; 1997.

Sziranyi T, Zerubia J, Geldreich D, Kato Z, Czúni L. MRF based image segmentation with fully parallel cellular nonlinear networks. In: Sziranyi T, Berke J, editors. A Képfeldolgozók és Alakfelismer?k Társaságának konferenciája - KÉPAF 1997. Keszthely: Pannon Agrártudományi Egyetem Georgikon Mez?gazdaságtudományi Kar; 1997. 4. p. 43-50p. 

Berthod M, Kato Z, Yu S, Zerubia J. Bayesian image classification using Markov random fields. IMAGE AND VISION COMPUTING. 1996;14(4):285-295.

Sziranyi T, Zerubia J, Geldreich D, Kato Z, *Society *I. Cellular Neural Network in Markov Random Field Image Segmentation. In: 1996 FOURTH IEEE INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS, PROCEEDINGS (CNNA-96). New York: Wiley - IEEE Press; 1996. 1. p. 139-144p. 

Kato Z, Berthod M, Zerubia J. A Hierarchical Markov Random Field Model and Multitemperature Annealing for Parallel Image Classification. GRAPHICAL MODELS AND IMAGE PROCESSING. 1996;58(1):18-37.

Berthod M, Kato Z, Zerubia J. DPA: a deterministic approach to the MAP problem. IEEE TRANSACTIONS ON IMAGE PROCESSING. 1995;4(9):1312-1314.

Kato Z, Zerubia J, Berthod M, Pieczynski W. Unsupervised adaptive image segmentation. In: *Society *IEEESignal Pro, editor. ICASSP-95. Piscataway: IEEE; 1995. 2. p. 2399-2402p. 

Kato Z, Zerubia J, Berthod M. Unsupervised parallel image classification using a hierarchical Markovian model. In: *Society IEEEComputer, editor. Proceedings of the 5th International Conference on Computer Vision. Piscataway: IEEE; 1995. 1. p. 169-174p. 

Kato Z. Multi-scale Markovian Modelisation in Computer Vision with Applications to SPOT Image Segmentation : Modélisations markoviennes multirésolutions en vision par ordinateur. Application ? la segmentation d'images SPOT.; 1994.

Zerubia J, Kato Z, Berthod M. Multi-Temperature Annealing: A New Approach for the Energy-Minimization of Hierarchical Markov Random Field Models. In: *Society IEEEComputer, editor. Proceedings of the 12th IAPR International Conference on Pattern Recognition. Los Alamitos: IEEE; 1994. 5. p. 520-522p. 

Kato Z, Zerubia J, Berthod M. Segmentation hiérarchique d'images sur CM200 (Hierarchical Image Segmentation on the CM200).; 1994.

Kato Z, Zerubia J, Berthod M. Segmentation multirésolution d'images sur SUN version 1 du 26.05.1994 (Multiresolution Image Segmentation on SUN version 1 of 26.05.1994).; 1994.

Kato Z, Zerubia J, Berthod M. Bayesian Image Classification Using Markov Random Fields. In: Mohammad-Djafari A, Demoment G, editors. Maximum Entropy and Bayesian Methods. Dordrecht; Boston; London: Kluwer Academic Publishers; 1993. 3. p. 375-382p. 

Berthod M, Giraudon G, Liu S, Mangin F, Kato Z, Urago S, et al. Extraction d'information dans les images SPOT.; 1993.

Kato Z, Berthod M, Zerubia J. A Hierarchical Markov Random Field Model and Multi-Temperature Annealing for Parallel Image Classification.; 1993.

Kato Z, Berthod M, Zerubia J. A Hierarchical Markov Random Field Model for Image Classification. In: International Workshop on Image and Multidimensional Digital Signal Processing (IMDSP). IEEE Computer Soc. Pr.; 1993. 

Kato Z, Berthod M, Zerubia J. Multiscale Markov random field models for parallel image classification. In: *Analysis *IEEEComputer S, *Intelligence *M, editors. Fourth International Conference on Computer Vision, ICCV 1993, Berlin, Germany, 11-14 May, 1993, Proceedings. Los Alamitos: IEEE; 1993. 2. p. 253-257p. 

Kato Z, Berthod M, Zerubia J. Parallel image classification using multiscale Markov random fields. In: *Society *IEEESignal Pro, *Engineers *Iof Electri, editors. ICASSP-93. New York: IEEE; 1993. 1. p. 137-140p. 

Kato Z, Zerubia J, Berthod M. Image Classification Using Markov Random Fields with Two New Relaxation Methods.; 1992.

Kato Z, Zerubia J, Berthod M. Satellite Image Classification Using a Modified Metropolis Dynamics. In: International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE Computer Soc. Pr.; 1992. 5. p. 573-576p.