2008 Workshop Papers
| Styner M., Lee J., Chin B., Chin M.S., Commowick O., Tran H., Markovic-Plese S., Jewells V., Warfield S 3D Segmentation in the Clinic: A Grand Challenge II: MS lesion segmentation. MIDAS Journal - MICCAI 2008 Workshop, http://hdl.handle.net/10380/1509 |
| Souplet J., Lebrun C., Ayache N., Malandain G. An Automatic Segmentation of T2-FLAIR Multiple Sclerosis Lesions. MIDAS Journal - MICCAI 2008 Workshop, http://hdl.handle.net/10380/1451 |
| Shiee N., Bazin P., Pham D.L. Multiple Sclerosis Lesion Segmentation Using Statistical and Topological Atlases. MIDAS Journal - MICCAI 2008 Workshop, http://hdl.handle.net/10380/1442. |
| Bricq S., Collet C., Armspach J. MS Lesion Segmentation based on Hidden Markov Chains. MIDAS Journal - MICCAI 2008 Workshop, http://hdl.handle.net/10380/1450 |
| Prastawa M., Gerig G. Automatic MS Lesion Segmentation by Outlier Detection and Information Theoretic Region Partitioning. MIDAS Journal - MICCAI 2008 Workshop, http://hdl.handle.net/10380/1457 |
| Anbeek P., Vincken K.L., Viergever M.A. Automated MS-Lesion Segmentation by K-Nearest Neighbor Classification. MIDAS Journal - MICCAI 2008 Workshop, http://hdl.handle.net/10380/1448 |
| Morra J., Tu Z., Toga A., Thompson P. Automatic Segmentation of MS Lesions Using a Contextual Model for the MICCAI Grand Challenge. MIDAS Journal - MICCAI 2008 Workshop, http://hdl.handle.net/10380/1444 |
| Garcia-Lorenzo D., Prima S., Morrissey S.P., Barillot C., A robust Expectation-Maximization algorithm for Multiple Sclerosis lesion segmentation. MIDAS Journal - MICCAI 2008 Workshop, http://hdl.handle.net/10380/1445 |
| Kroon D., Van Oort E., Slump K. Multiple Sclerosis Detection in Multispectral Magnetic Resonance Images with Principal Components Analysis. MIDAS Journal - MICCAI 2008 Workshop, http://hdl.handle.net/10380/1441 |
| Scully M., Magnotta V., Gasparovic C., Pelligrimo P., Feis D., Bockholt H.J. 3D Segmentation In The Clinic: A Grand Challenge II at MICCAI 2008 - MS Lesion Segmentation. MIDAS Journal - MICCAI 2008 Workshop, http://hdl.handle.net/10380/1449 |
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Papers using workshop data |
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Ezequiel Geremia, Bjoern H. Menze, Olivier Clatz, Ender Konukoglu, Antonio Criminisi, and Nicholas Ayache, Spatial decision forests for MS lesion segmentation in multi-channel MR images, In Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I (MICCAI'10), Springer-Verlag, Berlin, Heidelberg, 111-118. http://dx.doi.org/10.1007/978-3-642-15705-9_14 |
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Navid Shiee, Pierre-Louis Bazin, Arzu Ozturk, Daniel S Reich, Peter A Calabresi, Dzung L Pham., A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions. NeuroImage (2010) vol. 49 (2) pp. 1524-35, http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2806481/ |
The content of this website is copyrighted © Martin Styner, Simon Warfield,Wiro Niessen, Theo van Walsum, Coert Metz, Michiel Schaap, Xiang Deng, Tobias Heimann, and Bram van Ginneken. This work is supported by the UNC Neurodevelopmental Disorders Research Center HD 03110 and NIH Roadmap for Medical Research, National Alliance for Medical Image Computing, Grant U54 EB005149-01.