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White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections.

, , , and . ISBI, page 1060-1064. IEEE, (2018)

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Random Hinge Forest for Differentiable Learning., , , , and . CoRR, (2018)White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections., , , and . ISBI, page 1060-1064. IEEE, (2018)Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation., , , , , , , and . AAAI, page 724-732. AAAI Press, (2021)Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs., , , , , and . MLMI@MICCAI, volume 11046 of Lecture Notes in Computer Science, page 249-258. Springer, (2018)Learning to Segment Anatomical Structures Accurately from One Exemplar., , , , , , , , , and 1 other author(s). MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 678-688. Springer, (2020)User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation., , , , , , , , and . MICCAI (1), volume 12261 of Lecture Notes in Computer Science, page 457-467. Springer, (2020)Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk., , , , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 603-612. Springer, (2019)Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation., , , , , , , , and . ECCV (23), volume 12368 of Lecture Notes in Computer Science, page 448-465. Springer, (2020)Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-Ray Images., , , , , , , , , and 1 other author(s). ECCV (23), volume 12368 of Lecture Notes in Computer Science, page 239-255. Springer, (2020)Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search., , , , , , , , , and . CoRR, (2020)