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Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?, , и . Algorithms, 14 (7): 212 (2021)GANs for Medical Image Synthesis: An Empirical Study., , и . CoRR, (2021)On the effectiveness of GAN generated cardiac MRIs for segmentation., , , и . CoRR, (2020)Neural Teleportation., , , , , , , и . CoRR, (2020)Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI Using Deep Convolutional Networks., , , , , и . M&Ms and EMIDEC/STACOM@MICCAI, том 12592 из Lecture Notes in Computer Science, стр. 378-384. Springer, (2020)Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge., , , , , , , , , и 23 other автор(ы). CoRR, (2021)Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge., , , , , , , , , и 23 other автор(ы). Medical Image Anal., (2022)Automated segmentation of normal and diseased coronary arteries - The ASOCA challenge., , , , , , , , , и 11 other автор(ы). Comput. Medical Imaging Graph., (2022)Cardiac Segmentation With Strong Anatomical Guarantees., , , , , и . IEEE Trans. Medical Imaging, 39 (11): 3703-3713 (2020)GANs for Medical Image Synthesis: An Empirical Study., , и . J. Imaging, 9 (3): 69 (2023)