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Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data., , , , и . CoRR, (2019)Deep-learning-enabled Brain Hemodynamic Mapping Using Resting-state fMRI., , , , , , , , , и 11 other автор(ы). CoRR, (2022)Pyramid Convolutional RNN for MRI Reconstruction., , , , и . CoRR, (2019)Automated Coarse-to-Fine Segmentation of Thoracic Duct Using Anatomy Priors and Topology-Guided Curved Planar Reformation., , , , , , , , , и 1 other автор(ы). MLMI@MICCAI (1), том 14348 из Lecture Notes in Computer Science, стр. 237-246. Springer, (2023)Automatic real-time CNN-based neonatal brain ventricles segmentation., , , , и . ISBI, стр. 716-719. IEEE, (2018)Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning., , , , и . CVPR, стр. 2423-2432. Computer Vision Foundation / IEEE, (2021)Over-and-Under Complete Convolutional RNN for MRI Reconstruction., , , , , и . MICCAI (6), том 12906 из Lecture Notes in Computer Science, стр. 13-23. Springer, (2021)Generative adversarial network-based restoration of speckled SAR images., , и . CAMSAP, стр. 1-5. IEEE, (2017)Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNN., , и . MICCAI (4), том 11073 из Lecture Notes in Computer Science, стр. 134-142. Springer, (2018)Learning to Segment Brain Anatomy From 2D Ultrasound With Less Data., , , , и . IEEE J. Sel. Top. Signal Process., 14 (6): 1221-1234 (2020)