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nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging., , , , , , and . BrainLes@MICCAI (2), volume 12963 of Lecture Notes in Computer Science, page 540-551. Springer, (2021)Multi-center, multi-vendor automated segmentation of left ventricular anatomy in contrast-enhanced MRI., , , , , , , and . CoRR, (2021)Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge., , , , , , , , , and 30 other author(s). IEEE J. Biomed. Health Informatics, 27 (7): 3302-3313 (July 2023)Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge., , , , , and . MyoPS@MICCAI, volume 12554 of Lecture Notes in Computer Science, page 1-16. Springer, (2020)Why is the Winner the Best?, , , , , , , , , and 115 other author(s). CVPR, page 19955-19966. IEEE, (2023)Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge., , , , , , , , , and 37 other author(s). IEEE Trans. Medical Imaging, 40 (12): 3543-3554 (2021)Why is the winner the best?, , , , , , , , , and 41 other author(s). CoRR, (2023)MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images., , , , , , , , , and 22 other author(s). CoRR, (2022)MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images, , , , , , , , , and 22 other author(s). Medical Image Analysis, (2023)Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI., , , , , and . STACOM@MICCAI, volume 12009 of Lecture Notes in Computer Science, page 290-299. Springer, (2019)