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Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling., , , , , , , , , and 4 other author(s). CoRR, (2019)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 Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images., , , , , and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 523-531. Springer, (2019)VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction., , , , , , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 713-722. Springer, (2019)Fetal Skull Reconstruction via Deep Convolutional Autoencoders., , , , , , , , and . EMBC, page 887-890. IEEE, (2018)Many-Shot from Low-Shot: Learning to Annotate Using Mixed Supervision for Object Detection., , , , and . ECCV (8), volume 12353 of Lecture Notes in Computer Science, page 35-50. Springer, (2020)Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images., , , , , , , , , and . ShapeMI@@MICCAI, volume 11167 of Lecture Notes in Computer Science, page 258-267. Springer, (2018)Generalising Deep Learning MRI Reconstruction across Different Domains., , , , , , , and . CoRR, (2019)Three-dimensional cardiovascular imaging-genetics: a mass univariate framework., , , , , , , , , and 3 other author(s). Bioinform., 34 (1): 97-103 (2018)