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Vizuális kódok lokalizálásának javítása egyszerű jellemzők kombinációjával. In: Czúni L, editor. A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2013. Veszprém: NJSZT-KÉPAF; 2013. 4. p. 483-495p.
Barcode Detection with Morphological Operations and Clustering. In: Petrou M, Sappa A D, Triantafyllidis A G, editors. Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA). Crete, Greek: IASTED - Acta Press; 2012. 5. p. 51-57p.
Barcode Detection with Uniform Partitioning and Morphological Operations. Szeged: University of Szeged, Institute of Informatics; 2012.
Improving barcode detection with combination of simple detectors. In: Yetongnon K, Chbeir R, Dipanda A, Gallo L, editors. Proceedings of the International Conference on Signal Image Technology & Internet Systems (SITIS). Naples, Italy: IEEE; 2012. 3. p. 300-306p.
A novel method for accurate and efficient barcode detection with morphological operations. In: Yetongnon K, Chbeir R, Dipanda A, Gallo L, editors. Proceedings of the International Conference on Signal Image Technology & Internet Systems (SITIS). Naples, Italy: IEEE; 2012. 3. p. 307-314p.
MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis. Vol 8002. Cao Z, Fenster A, Nyúl LGábor, Cai C, editors. Guilin, China: SPIE; 2011.
Glaucoma Risk Index: Automated glaucoma detection from color fundus images. MEDICAL IMAGE ANALYSIS. 2010;14(3):471-481.
Method and system for automatically segmenting organs from three dimensional computed tomography images. Vol US20050907690. Amerikai Egyesült Államok; 2009.
MIPPR 2009: Multispectral Image Acquisition and Processing. Vol 7494. Udupa JK, Sang N, Nyúl LGábor, Tong H, editors. Bellingham; Washington: SPIE; 2009.
Multimodal Automated Glaucoma Detection Combining the Glaucoma Probability Score and the Glaucoma Risk Index. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. 2009;50(5):324.
Preface to the Special Issue. DISCRETE APPLIED MATHEMATICS. 2009;157(3):437.
Retinal image analysis for automated glaucoma risk evaluation. In: Liu J, Doi K, Fenster A, Chan C S, editors. MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques. Bellingham; Washington: SPIE; 2009. 7. p. 74971C-1p. - p. 74971C-9p.
Automated Glaucoma Detection From Color Fundus Photographs. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. 2008;49(5):1863.
The Erlanger Glaucoma Matrix - A Visualization Approach Towards Optimal Glaucomatous Optic Nerve Head Image Presentation. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. 2008;49(5):1893.
Geometrical model-based segmentation of the organs of sight on CT images. MEDICAL PHYSICS. 2008;35(2):735-743.
A képfeldolgozás kutatása a Szegedi Tudományegyetemen. In: Pethő A, Herdon M, editors. Informatika a felsőoktatásban 2008. Debrecen: Debreceni Egyetem Informatikai Kar; 2008.
Novel Visualization Approach of an Automated Image Based Glaucoma Risk Index for Intuitive Diagnosis. In: Jan J, Konzuplik J, Provazník I, editors. Analysis of Biomedical Signals and Images. Brno: Brno University of Technology; 2008. 2. p. 205-209p.
Systems and methods for segmenting an organ in a plurality of images. Vol US20040858241. Amerikai Egyesült Államok; 2008.
Techniques of Virtual Dissection of the Colon Based on Spiral CT Data. In: Neri E, Caramella D, Bartolozzi C, editors. Image Processing in Radiology. Berlin: Springer-Verlag; 2008. 2. p. 257-268p.
3D segmentation of liver, kidneys and spleen from CT images. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY. 2007;2(1 SUPPL.):S45-S47.
Appearance-based Approach to Extract an Age-related Biomarker from Retinal Images. In: Hornegger J, Mayr EW, Schookin S, Feußner H, Navab N, Gulyaev YV et al., editors. 3rd Russian-Bavarian Conference on Bio-Medical Engineering, Proceedings. Vol 1. Erlangen: Friedrich-Alexander University Erlangen-Nuremberg; 2007. 1. p. 127-131p.
Classifying Glaucoma with Image-based Features from Fundus Photographs. In: Hamprecht FA, Schnorr C, Jähne B, editors. Pattern Recognition. Heidelberg: Springer Verlag; 2007. 3. p. 355-364p. (Lecture Notes in Computer Science).
Effects of Preprocessing Eye Fundus Images on Appearance Based Glaucoma Classification. In: Kropatsch WG, Kampel M, Hanbury A, editors. Computer Analysis of Images and Patterns. Berlin; Heidelberg: Springer Verlag; 2007. 1. p. 165-172p. (Lecture Notes in Computer Science).
Extraction of an Age-Related Biomarker From Retinal Images Using Appearance Based Approach. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. 2007;48(5):2167.