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HyperDense-Net: A hyper-densely connected CNN for multi-modal image semantic segmentation., , , and . CoRR, (2017)Curriculum semi-supervised segmentation., , , and . CoRR, (2019)On Direct Distribution Matching for Adapting Segmentation Networks., , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 624-637. PMLR, (2020)Calibrating Segmentation Networks with Margin-based Label Smoothing., , , , and . CoRR, (2022)Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation., , , and . CoRR, (2021)Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study., , , , , , , and . Comput. Medical Imaging Graph., (2016)Segmentation with mixed supervision: Confidence maximization helps knowledge distillation., , , and . Medical Image Anal., (2023)Mutual-Information Based Few-Shot Classification., , , , , and . CoRR, (2021)A Strong Baseline for Generalized Few-Shot Semantic Segmentation., , , and . CVPR, page 11269-11278. IEEE, (2023)Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation., , , , , and . WACV, page 1338-1346. IEEE, (2021)