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MIPPR 2009: Multispectral Image Acquisition and Processing. Vol 7494. Udupa JK, Sang N, Nyúl LGábor, Tong H, editors. Bellingham; Washington: SPIE; 2009.
Multiple Sclerosis lesion quantification in MR images by using vectorial scale-based relative fuzzy connectedness. In: Fitzpatrick J M, Sonka M, editors. Medical Imaging 2004: Image Processing. Bellingham; Washington: SPIE; 2004. 1. p. 1764-1773p.
3DVIEWNIX-AVS: a software package for the separate visualization of arteries and veins in CE-MRA images. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS. 2003;27(5):351-362.
Incorporating a measure of local scale in voxel-based 3-D image registration. IEEE TRANSACTIONS ON MEDICAL IMAGING. 2003;22(2):228-237.
Method for standardizing the MR image intensity scale. Vol US19990447781. Amerikai Egyesült Államok; 2003.
Fuzzy-connected 3D image segmentation at interactive speeds. GRAPHICAL MODELS. 2002;64(5):259-281.
A protocol-independent brain MRI segmentation method. In: Sonka M, Fitzpatrick J M, editors. Medical Imaging 2002: Image Processing. Bellingham; Washington: SPIE; 2002. 1. p. 1588-1599p.
Többdimenziós MRI képek feldolgozása. In: Kuba A, Máté E, Palágyi K, editors. Képfeldolgozók és Alakfelismerők III. Konfereciája. Szeged: NJSZT-KÉPAF; 2002. 9. p. 96-97p.
Brain atrophy in relapsing-remitting multiple sclerosis: Fractional volumetric analysis of gray matter and white matter. RADIOLOGY. 2001;220(3):606-610.
Multiprotocol MR image segmentation in multiple sclerosis: Experience with over 1,000 studies. ACADEMIC RADIOLOGY. 2001;8(11):1116-1126.
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.
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.
MR image analysis in multiple sclerosis. NEUROIMAGING CLINICS OF NORTH AMERICA. 2000;10(4):799-815.
Multiple sclerosis: Magnetization transfer histogram analysis of segmented normal-appearing white matter. RADIOLOGY. 2000;216(2):351-355.
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.
New variants of a method of MRI scale standardization. IEEE TRANSACTIONS ON MEDICAL IMAGING. 2000;19(2):143-150.
Numerical tissue characterization in MS via standardization of the MR image intensity scale. JOURNAL OF MAGNETIC RESONANCE IMAGING. 2000;12(5):715-721.
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.
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.
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.
Tissue Characterization in Relapsing-remitting and Secondary-progressive MS via Magnetization Transfer Ratio. In: , editor. In: International Society for Magnetic Resonance in Medicine: Eight Scientific Meeting and Exhibition. Berkeley; 2000. 1. 1189.
Approach to standardizing MR image intensity scale. In: Mun SKi, Kim Y, editors. Medical Imaging 1999: Image Display. Bellingham; Washington: SPIE; 1999. 5. p. 595-603p.