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Shape description losses for medical image segmentation., , , , , , , и . Mach. Vis. Appl., 34 (4): 57 (июля 2023)Distance map supervised landmark localization for MR-TRUS registration., , , , , , и . Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation., , , , , и . IEEE Trans. Medical Imaging, 41 (6): 1331-1345 (2022)When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation., , , , , , , , , и . CoRR, (2019)Federated learning improves site performance in multicenter deep learning without data sharing., , , , , , , , , и 9 other автор(ы). J. Am. Medical Informatics Assoc., 28 (6): 1259-1264 (2021)Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation., , , , , , , , , и 1 other автор(ы). IEEE Trans. Medical Imaging, 39 (7): 2531-2540 (2020)Distance Map Supervised Landmark Localization for MR-TRUS Registration., , , , , , и . CoRR, (2022)Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation., , , , , и . MLMI@MICCAI, том 12436 из Lecture Notes in Computer Science, стр. 160-169. Springer, (2020)Polar transform network for prostate ultrasound segmentation with uncertainty estimation., , , , , и . Medical Image Anal., (2022)Cross-modal attention for multi-modal image registration., , , , , , , , , и . Medical Image Anal., (2022)