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Deep Learning Trends for Focal Brain Pathology Segmentation in MRI., , , and . Machine Learning for Health Informatics, volume 9605 of Lecture Notes in Computer Science, Springer, (2016)Task Adaptive Metric Space for Medium-Shot Medical Image Classification., , , , and . MICCAI (1), volume 11764 of Lecture Notes in Computer Science, page 147-155. Springer, (2019)Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 4816-4827. PMLR, (2020)CAGNet: Content-Aware Guidance for Salient Object Detection., , , , and . CoRR, (2019)FHIST: A Benchmark for Few-shot Classification of Histological Images., , , , , , and . CoRR, (2022)Hypothesis Disparity Regularized Mutual Information Maximization., , and . CoRR, (2020)A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay., , , and . IEEE Trans. Neural Networks Learn. Syst., 33 (9): 4466-4478 (2022)Conditional Generation of Medical Images via Disentangled Adversarial Inference., , , and . DGM4MICCAI/DALI@MICCAI, volume 13003 of Lecture Notes in Computer Science, page 45-66. Springer, (2021)A Convolutional Neural Network Approach to Brain Tumor Segmentation., , , , and . Brainles@MICCAI, volume 9556 of Lecture Notes in Computer Science, page 195-208. Springer, (2015)Brain Tumor Segmentation with Deep Neural Networks., , , , , , , , and . CoRR, (2015)