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ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification., , , , and . CoRR, (2021)Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners., , , , and . CoRR, (2017)High-level prior-based loss functions for medical image segmentation: A survey., , , , and . Comput. Vis. Image Underst., (2021)How I failed machine learning in medical imaging - shortcomings and recommendations., and . CoRR, (2021)Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing., , , , , , , , , and 9 other author(s). iMIMIC/MIL3ID/LABELS@MICCAI, volume 12446 of Lecture Notes in Computer Science, page 1. Springer, (2020)Understanding metric-related pitfalls in image analysis validation., , , , , , , , , and 68 other author(s). CoRR, (2023)Crowdsourcing Airway Annotations in Chest Computed Tomography Images., , , , and . CoRR, (2020)Multi-task Learning with Crowdsourced Features Improves Skin Lesion Diagnosis., , , and . CoRR, (2020)Augmenting Chest X-ray Datasets with Non-Expert Annotations., , , , and . CoRR, (2023)Biomedical image analysis competitions: The state of current participation practice., , , , , , , , , and 41 other author(s). CoRR, (2022)