2006 - Fellow of the Indian National Academy of Engineering (INAE)
2002 - IEEE Fellow For contributions to medical image analysis and computer vision.
Milan Sonka mainly investigates Artificial intelligence, Segmentation, Image segmentation, Computer vision and Image processing. His Artificial intelligence research integrates issues from Tree, Ultrasound and Pattern recognition. The concepts of his Segmentation study are interwoven with issues in Voxel, Magnetic resonance imaging, Radiology and Airway.
He interconnects Retina, Graph, Edge detection and Active appearance model in the investigation of issues within Image segmentation. His Computer vision research incorporates elements of Matching, Biplane angiography, Retinal and Medical imaging. His research on Image processing also deals with topics like
Milan Sonka mainly focuses on Artificial intelligence, Segmentation, Computer vision, Image segmentation and Pattern recognition. While the research belongs to areas of Artificial intelligence, he spends his time largely on the problem of Graph, intersecting his research to questions surrounding Algorithm. Milan Sonka has included themes like Voxel, Optical coherence tomography, Radiology, Pixel and Biomedical engineering in his Segmentation study.
His study on Optical coherence tomography also encompasses disciplines like
His primary scientific interests are in Segmentation, Artificial intelligence, Optical coherence tomography, Computer vision and Pattern recognition. His study on Image segmentation is often connected to Knee mri as part of broader study in Segmentation. His Artificial intelligence research includes elements of Algorithm and Machine learning, Receiver operating characteristic.
The concepts of his Optical coherence tomography study are interwoven with issues in Cardiac allograft vasculopathy, Biomedical engineering and Confidence interval. Many of his studies on Computer vision involve topics that are commonly interrelated, such as Intravascular ultrasound. His research integrates issues of Magnetic resonance imaging, Edge detection, Kernel and Calf muscle in his study of Pattern recognition.
Artificial intelligence, Segmentation, Pattern recognition, Optical coherence tomography and Computer vision are his primary areas of study. His biological study spans a wide range of topics, including Algorithm and Graph. His specific area of interest is Segmentation, where Milan Sonka studies Image segmentation.
His Image segmentation research is multidisciplinary, relying on both Radiology and Scintigraphy. His study in Optical coherence tomography is interdisciplinary in nature, drawing from both Lung transplantation, Biomedical engineering and Confidence interval. His Computer vision research includes themes of Abdominal ct and Kidney.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Image Processing: Analysis and Machine Vision
Milan Sonka;Vaclav Hlavac;Roger Boyle.
3D Slicer as an image computing platform for the Quantitative Imaging Network.
Andriy Fedorov;Reinhard Beichel;Jayashree Kalpathy-Cramer;Julien Finet.
Magnetic Resonance Imaging (2012)
Retinal Imaging and Image Analysis
M D Abràmoff;M K Garvin;M Sonka.
IEEE Reviews in Biomedical Engineering (2010)
Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach
Kang Li;Xiaodong Wu;D.Z. Chen;M. Sonka.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2006)
Interstitial lung disease: A quantitative study using the adaptive multiple feature method.
Renuka Uppaluri;Eric A. Hoffman;Milan Sonka;Gary W. Hunninghake.
American Journal of Respiratory and Critical Care Medicine (1999)
Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images
M.K. Garvin;M.D. Abramoff;Xiaodong Wu;S.R. Russell.
IEEE Transactions on Medical Imaging (2009)
3-D active appearance models: segmentation of cardiac MR and ultrasound images
S.C. Mitchell;J.G. Bosch;B.P.F. Lelieveldt;R.J. van der Geest.
IEEE Transactions on Medical Imaging (2002)
Image processing analysis and machine vision [2nd ed.]
Milan Sonka;Václav Hlaváč;Roger Boyle.
Effect of endothelial shear stress on the progression of coronary artery disease, vascular remodeling, and in-stent restenosis in humans: in vivo 6-month follow-up study.
Peter H. Stone;Ahmet U. Coskun;Scott Kinlay;Maureen E. Clark.
Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images
S.C. Mitchell;B.P.F. Lelieveldt;R.J. van der Geest;H.G. Bosch.
IEEE Transactions on Medical Imaging (2001)
Profile was last updated on December 6th, 2021.
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