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Sources of performance variability in deep learning-based polyp detection., , , , , , , , , and 1 other author(s). Int. J. Comput. Assist. Radiol. Surg., 18 (7): 1311-1322 (July 2023)Biomedical image analysis competitions: The state of current participation practice., , , , , , , , , and 41 other author(s). CoRR, (2022)Deployment of Image Analysis Algorithms Under Prevalence Shifts., , , , , , , and . MICCAI (3), volume 14222 of Lecture Notes in Computer Science, page 389-399. Springer, (2023)Metrics reloaded: Pitfalls and recommendations for image analysis validation., , , , , , , , , and 57 other author(s). CoRR, (2022)Sources of performance variability in deep learning-based polyp detection., , , , , , , , , and 1 other author(s). CoRR, (2022)Heterogeneous Model Ensemble For Automatic Polyp Segmentation In Endoscopic Video Sequences., , , , , , , and . EndoCV@ISBI, volume 3148 of CEUR Workshop Proceedings, page 20-24. CEUR-WS.org, (2022)Why is the Winner the Best?, , , , , , , , , and 115 other author(s). CVPR, page 19955-19966. IEEE, (2023)Why is the winner the best?, , , , , , , , , and 41 other author(s). CoRR, (2023)Biomedical image analysis competitions: The state of current participation practice, , , , , , , , , and 1 other author(s). arXiv preprint arXiv:2212.08568, (2022)Abstract: Task Fingerprinting for Meta Learning in Biomedical Image Analysis., and . Bildverarbeitung für die Medizin, page 260. Springer, (2022)