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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)

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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)Image-and-Spatial Transformer Networks for Structure-Guided Image Registration., , , , and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 337-345. Springer, (2019)Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing., , , , , , , , , and 2 other author(s). ECCV (36), volume 13696 of Lecture Notes in Computer Science, page 1-21. Springer, (2022)Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects., , , , , , and . FIMH, volume 9126 of Lecture Notes in Computer Science, page 3-11. Springer, (2015)Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology., , , , , , , , , and 11 other author(s). CHI, page 444:1-444:22. ACM, (2024)Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing., , , , , , , , , and 6 other author(s). CVPR, page 15016-15027. IEEE, (2023)OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions., , and . Medical Image Anal., (2019)Active label cleaning: Improving dataset quality under resource constraints., , , , , , , , , and 2 other author(s). CoRR, (2021)TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions., , and . CoRR, (2018)Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning., , , , , , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 259-267. Springer, (2018)