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Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation.

, , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 186-194. Springer, (2017)

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Fast and Robust Registration Based on Gradient Orientations: Case Study Matching Intra-operative Ultrasound to Pre-operative MRI in Neurosurgery., , and . IPCAI, volume 7330 of Lecture Notes in Computer Science, page 125-134. Springer, (2012)A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions., , , and . BAMBI, volume 8677 of Lecture Notes in Computer Science, page 118-129. Springer, (2014)Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss., and . BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 392-402. Springer, (2017)Informative Views and Sequential Recognition., and . ECCV (1), volume 1064 of Lecture Notes in Computer Science, page 469-481. Springer, (1996)Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data., , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 483-492. PMLR, (2019)Exploring Cortical Folding Pattern Variability Using Local Image Features., , , and . MCV, volume 6533 of Lecture Notes in Computer Science, page 43-53. Springer, (2010)Entropy-of-likelihood Feature Selection for Image Correspondence., and . ICCV, page 1041-1047. IEEE Computer Society, (2003)A Fast Discriminant Approach to Active Object Recognition and Pose Estimation., , and . ICPR (3), page 91-94. IEEE Computer Society, (2004)Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields., , , , , and . IEEE Trans. Med. Imaging, 31 (6): 1181-1194 (2012)Anytime similarity measures for faster alignment., , and . Comput. Vis. Image Underst., 110 (3): 378-389 (2008)