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Generative adversarial network-based restoration of speckled SAR images.

, , and . CAMSAP, page 1-5. IEEE, (2017)

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