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Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge., , , , , , , , , and 19 other author(s). CoRR, (2023)Metrics reloaded: Pitfalls and recommendations for image analysis validation., , , , , , , , , and 57 other author(s). CoRR, (2022)The Medical Segmentation Decathlon., , , , , , , , , and 48 other author(s). CoRR, (2021)The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation., , and . Comput. Stat. Data Anal., (2017)Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge., , , , , , , , , and 40 other author(s). Medical Image Anal., (2021)Exploiting the potential of unlabeled endoscopic video data with self-supervised learning., , , , , , , , , and 5 other author(s). Int. J. Comput. Assist. Radiol. Surg., 13 (6): 925-933 (2018)Robust Medical Instrument Segmentation Challenge 2019., , , , , , , , , and 40 other author(s). CoRR, (2020)Methods and open-source toolkit for analyzing and visualizing challenge results., , , , , and . CoRR, (2019)Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis., , , , , , , , , and 9 other author(s). CoRR, (2021)Understanding metric-related pitfalls in image analysis validation., , , , , , , , , and 68 other author(s). CoRR, (2023)