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3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study., , and . CoRR, (2016)Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities., , and . BrainLes@MICCAI (1), volume 11383 of Lecture Notes in Computer Science, page 271-282. Springer, (2018)Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty., , , , , and . CoRR, (2020)The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration., , , and . CVPR, page 80-88. IEEE, (2022)Class Adaptive Network Calibration., , , , and . CVPR, page 16070-16079. IEEE, (2023)Teach Me to Segment with Mixed Supervision: Confident Students Become Masters., , and . IPMI, volume 12729 of Lecture Notes in Computer Science, page 517-529. Springer, (2021)Weakly supervised segmentation with cross-modality equivariant constraints., and . Medical Image Anal., (2022)Log-barrier constrained CNNs., , , , , and . CoRR, (2019)Isointense infant brain segmentation with a hyper-dense connected convolutional neural network., , , and . ISBI, page 616-620. IEEE, (2018)Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy., , , , , , and . CGI (3), volume 14497 of Lecture Notes in Computer Science, page 427-437. Springer, (2023)