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MONAI: An open-source framework for deep learning in healthcare., , , , , , , , , and 46 other author(s). CoRR, (2022)Do Gradient Inversion Attacks Make Federated Learning Unsafe?, , , , , , , , , and 1 other author(s). IEEE Trans. Medical Imaging, 42 (7): 2044-2056 (2023)NVIDIA FLARE: Federated Learning from Simulation to Real-World., , , , , , , , , and 13 other author(s). CoRR, (2022)Federated Learning for Breast Density Classification: A Real-World Implementation., , , , , , , , , and 33 other author(s). DART/DCL@MICCAI, volume 12444 of Lecture Notes in Computer Science, page 181-191. Springer, (2020)DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images., , , , , , , , , and 10 other author(s). DALI@MICCAI, volume 13567 of Lecture Notes in Computer Science, page 11-21. Springer, (2022)Do Gradient Inversion Attacks Make Federated Learning Unsafe?, , , , , , , , , and 1 other author(s). CoRR, (2022)NVIDIA FLARE: Federated Learning from Simulation to Real-World., , , , , , , , , and 13 other author(s). IEEE Data Eng. Bull., 46 (1): 170-184 (2023)MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images., , , , , , , , , and 5 other author(s). CoRR, (2022)Generative AI for Medical Imaging: extending the MONAI Framework., , , , , , , , , and 14 other author(s). CoRR, (2023)DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images., , , , , , , , , and 10 other author(s). CoRR, (2023)