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2001
Balogh E, Kuba A, Devenyi C, Del Lungo A. Comparison of algorithms for reconstructing hv-convex discrete sets. Linear Algebra and its Applications. 2001;339:23-35.
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.
Udupa JK, Nyúl LG, Ge Y, Grossman RJ. Multiprotocol MR image segmentation in multiple sclerosis: Experience with over 1,000 studies. ACADEMIC RADIOLOGY. 2001;8(11):1116-1126.
Brunetti S, DelLungo A, DelRistoro F., Kuba A, Nivat M. Reconstruction of 4- and 8-connected convex discrete sets from row and column projections. Linear Algebra and its Applications. 2001;339:37-57.
Kuba A, Nivat M. Reconstruction of discrete sets with absorption. Linear Algebra and its Applications. 2001;339:171-194.
Palágyi K, Sorantin E, Balogh E, Kuba A, Halmai C, Erdőhelyi B, et al. A sequential 3D thinning algorithm and its medical applications. LECTURE NOTES IN COMPUTER SCIENCE. 2001;2082:409-415.
Nyúl LG, Udupa JK, Saha PK. Task-specific comparison of 3D image registration methods. In: Sonka M, Hanson KM, editors. Medical Imaging 2001: Image Processing. Bellingham; Washington: SPIE; 2001. 1. p. 1588-1598p.
Sorantin E, Balogh E, Bartroli AV, Palágyi K, Nyúl LG. Virtual Dissection of the Colon Based on Helical CT Data - Can It Be Done? In: Lončarić S, Babic H, editors. Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis, ISPA 2001, Pula, Croatia. Zagreb: University of Zagreb; 2001. 2. p. 224-229p.
2000
Palágyi K. A 3D 3-subiteration thinning algorithm for medial surfaces. LECTURE NOTES IN COMPUTER SCIENCE. 2000;1953:406-418.
Palágyi K, Sorantin E, Halmai C, Erdőhelyi B, Martonossy L, Kuba A. 3D vékonyítás és alkalmazása vérerek és légutak átmérőjének meghatározására. In: Sziranyi T, editor. A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2000. Noszvaj: NJSZT; 2000. 9. p. 95-100p.
Ge Y, Grossman RJ, Udupa JK, Babb JS, Nyúl LG, Kolson DL. Brain Atrophy in Relapsing-Remitting Multiple Sclerosis: A Fractional Volumetric Analysis of Gray Matter and White Matter.; 2000.
Nyúl LG, Falcao AX, Udupa JK. Fuzzy-connected 3D image segmentation at interactive speeds. In: Hanson KM, editor. Medical Imaging 2000: Image Processing. Bellingham; Washington: SPIE; 2000. 2. p. 212-223p.
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.
Ge Y, Grossman RJ, Udupa JK, Babb JS, Nyúl LG, Kolson DL, et al. Magnetization Transfer Ratio Histogram Analysis of Normal Appearing Gray Matter and White Matter in MS.; 2000.
Nyúl LG, Udupa JK. MR image analysis in multiple sclerosis. NEUROIMAGING CLINICS OF NORTH AMERICA. 2000;10(4):799-815.
Nyúl LG, Udupa JK. MR Image Analysis in Multiple Sclerosis.; 2000.
Catalaa I, Grossman RJ, Kolson DL, Udupa JK, Nyúl LG, Wei L, et al. Multiple sclerosis: Magnetization transfer histogram analysis of segmented normal-appearing white matter. RADIOLOGY. 2000;216(2):351-355.
Udupa JK, Nyúl LG, Ge Y, Grossman RJ. Multiprotocol MR image segmentation in multiple sclerosis: experience with over 1000 studies. In: Hanson KM, editor. Medical Imaging 2000: Image Processing. Bellingham; Washington: SPIE; 2000. 1. p. 1017-1027p.
Sorantin E, Halmai C, Erdőhelyi B, Martonossy L, Palágyi K, Geiger B. New advances for imaging of laryngotracheal stenosis by post processing of spiral-CT data. In: Hruby W, editor. Digital (R)Evolution in Radiology. Berlin; Heidelberg; New York; London; Paris; Tokyo: Springer-Verlag; 2000. 2. p. 275-285p.
Nyúl LG, Udupa JK, Zhang X. New variants of a method of MRI scale standardization. IEEE TRANSACTIONS ON MEDICAL IMAGING. 2000;19(2):143-150.
Ge Y, Udupa JK, Nyúl LG, Wei L, Grossman RJ. Numerical tissue characterization in MS via standardization of the MR image intensity scale. JOURNAL OF MAGNETIC RESONANCE IMAGING. 2000;12(5):715-721.
Ge Y, Udupa JK, Nyúl LG, Wei L, Grossman RJ. Numerical Tissue Characterization in MS via Standardization of the MR Image Intensity Scale. In: International Society for Magnetic Resonance in Medicine: Eight Scientific Meeting and Exhibition. Berkeley; 2000. 5. 579.
Tanacs A, Czédli G, Palágyi K, Kuba A. Point-based registration assuming affine motion. LECTURE NOTES IN COMPUTER SCIENCE. 2000;1888:329-338.
Nyúl LG, Udupa JK. Standardizing the MR Image Intensity Scale and Its Applications. In: Csendes T, editor. Conference of PhD Students in Computer Science. Vol Volume of extended abstracts. Szeged: József Attila Tudományegyetem; 2000. 7. 75.
Nyúl LG, Udupa JK. Standardizing the MR image intensity scales: making MR intensities have tissue-specific meaning. In: Mun SKi, editor. Medical Imaging 2000: Image Display and Visualization. Bellingham; Washington: SPIE; 2000. 4. p. 496-504p.

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