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Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling., , , and . CoRR, (2021)Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease., , , , and . CoRR, (2021)DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling., , , and . ICCV, page 12899-12908. IEEE, (2021)Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging., , , , , , , , and . Medical Image Anal., (2023)Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation., , , , , and . CoRR, (2022)A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions., , , , , , , , and . CoRR, (2021)Center Dropout: A Simple Method for Speed and Fairness in Federated Learning., , and . BrainLes@MICCAI (2), volume 12963 of Lecture Notes in Computer Science, page 481-493. Springer, (2021)Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation., , , , , and . MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 514-524. Springer, (2022)