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A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion.

, , , , , , and . Medical Image Anal., 26 (1): 133-145 (2015)

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NECTAR: a database of codon-centric missense variant annotations., , , and . Nucleic Acids Res., 42 (Database-Issue): 1013-1019 (2014)Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling., , , , , , , , , and 4 other author(s). CoRR, (2019)Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle., , , , , , , , and . STACOM@MICCAI, volume 9534 of Lecture Notes in Computer Science, page 13-20. Springer, (2015)Whole-genome sequencing of patients with rare diseases in a national health system., , , , , , , , , and 439 other author(s). Nat., 583 (7814): 96-102 (2020)New Insights into the Genetic Control of Gene Expression using a Bayesian Multi-tissue Approach., , , , , , , , , and 1 other author(s). PLoS Comput. Biol., (2010)Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling., , , , , , , , , and 2 other author(s). MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 464-471. Springer, (2018)3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders., , , , , , and . ISBI, page 1643-1646. IEEE, (2019)Learning-Based Quality Control for Cardiac MR Images., , , , , , , , , and 2 other author(s). IEEE Trans. Med. Imaging, 38 (5): 1127-1138 (2019)Deep learning cardiac motion analysis for human survival prediction., , , , , , , , , and 1 other author(s). CoRR, (2018)Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images., , , , , , , , , and . IEEE Trans. Med. Imaging, 36 (1): 332-342 (2017)