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A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies.

, , , and . IPMI, volume 10265 of Lecture Notes in Computer Science, page 170-183. Springer, (2017)

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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge., , , , , , , , , and 41 other author(s). CoRR, (2018)Highly-Expressive Spaces of Well-Behaved Transformations: Keeping it Simple., , , and . ICCV, page 2911-2919. IEEE Computer Society, (2015)Deep Diffeomorphic Normalizing Flows., , , and . CoRR, (2018)Multiparametric tissue abnormality characterization using manifold regularization., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 6915 of SPIE Proceedings, page 691516. SPIE, (2008)Disease classification and prediction via semi-supervised dimensionality reduction., , , , and . ISBI, page 1086-1090. IEEE, (2011)Dominant Component Analysis of Electrophysiological Connectivity Networks., , , , and . MICCAI (3), volume 7512 of Lecture Notes in Computer Science, page 231-238. Springer, (2012)A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies., , , and . IPMI, volume 10265 of Lecture Notes in Computer Science, page 170-183. Springer, (2017)Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector., , , , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 502-510. Springer, (2018)