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Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation., , , , , and . CoRR, (2019)Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation., , , , , , , , and . LAScarQS@MICCAI, volume 13586 of Lecture Notes in Computer Science, page 24-35. Springer, (2022)Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning., , , , , and . MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 3-12. Springer, (2023)Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data., , , , , , , , and . ISBI, page 1251-1255. IEEE, (2019)ReSynthDetect: A Fundus Anomaly Detection Network with Reconstruction and Synthetic Features., , , , , and . BMVC, page 99-101. BMVA Press, (2023)Learning Anatomically Consistent Embedding for Chest Radiography., , , , , and . BMVC, page 617-619. BMVA Press, (2023)Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision Using Graph Convolutional Networks., , , , , , and . MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 335-344. Springer, (2020)Bilateral-ViT For Robust Fovea Localization., , , , , , and . ISBI, page 1-5. IEEE, (2022)Region and Spatial Aware Anomaly Detection for Fundus Images., , , , and . ISBI, page 1-5. IEEE, (2023)Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network., , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 8 (5): 509-518 (2020)