Author of the publication

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)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models., , , , , , , , , and 5 other author(s). IEEE Trans. Medical Imaging, 39 (6): 2088-2099 (2020)Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images., , , , , , , , , and . IEEE Trans. Medical Imaging, 36 (1): 332-342 (2017)Deep learning cardiac motion analysis for human survival prediction., , , , , , , , , and 1 other author(s). CoRR, (2018)Learning-Based Quality Control for Cardiac MR Images., , , , , , , , , and 2 other author(s). IEEE Trans. Med. Imaging, 38 (5): 1127-1138 (2019)Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation., , , , , , , and . CoRR, (2021)3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders., , , , , , and . ISBI, page 1643-1646. IEEE, (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)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)Whole-genome sequencing of patients with rare diseases in a national health system., , , , , , , , , and 439 other author(s). Nat., 583 (7814): 96-102 (2020)