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Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images., , , , , , , , , and 9 other author(s). NeuroImage, (2018)Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation., , , , , and . CoRR, (2017)A deep learning classification scheme based on augmented-enhanced features to segment organs at risk on the optic region in brain cancer patients., , , , , , and . CoRR, (2017)Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework., , , , , and . CoRR, (2019)Interactive approach to segment organs at risk in radiotherapy treatment planning., , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90343S. SPIE, (2014)On Direct Distribution Matching for Adapting Segmentation Networks., , , and . CoRR, (2019)Revisiting CycleGAN for semi-supervised segmentation., , , and . CoRR, (2019)Constrained domain adaptation for segmentation., , , , and . CoRR, (2019)Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning., , and . CoRR, (2018)IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet., , and . CSI@MICCAI, volume 11397 of Lecture Notes in Computer Science, page 130-143. Springer, (2018)