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Understanding metric-related pitfalls in image analysis validation., , , , , , , , , and 68 other author(s). CoRR, (2023)Why is the Winner the Best?, , , , , , , , , and 115 other author(s). CVPR, page 19955-19966. IEEE, (2023)What Your Radiologist Might be Missing: Using Machine Learning to Identify Mislabeled Instances of X-ray Images., , , , , and . HICSS, page 1-10. ScholarSpace, (2021)Labeling instructions matter in biomedical image analysis., , , , , , , , , and . CoRR, (2022)Metrics reloaded: Pitfalls and recommendations for image analysis validation., , , , , , , , , and 57 other author(s). CoRR, (2022)Why is the winner the best?, , , , , , , , , and 41 other author(s). CoRR, (2023)Common Limitations of Image Processing Metrics: A Picture Story., , , , , , , , , and 24 other author(s). CoRR, (2021)Labelling instructions matter in biomedical image analysis., , , , , , , , , and . Nat. Mac. Intell., 5 (3): 273-283 (March 2023)Towards a Machine Learning-based Decision Support System for Dispatching Helicopters in New Zealand., , and . HICSS, page 1-10. ScholarSpace, (2021)