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Accounting for Variance in Machine Learning Benchmarks., , , , , , , , , and 6 other author(s). MLSys, mlsys.org, (2021)Benchmarking a Benchmark: How Reliable is MS-COCO?, , , and . CoRR, (2023)Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting., , , and . CoRR, (2021)Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation., , , , , , and . DART/FAIR@MICCAI, volume 12968 of Lecture Notes in Computer Science, page 101-111. Springer, (2021)An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance., , and . CoRR, (2023)Accounting for Variance in Machine Learning Benchmarks., , , , , , , , , and 7 other author(s). CoRR, (2021)Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation., , , , , , , and . CoRR, (2022)Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis., , , , and . MICCAI (3), volume 14222 of Lecture Notes in Computer Science, page 189-198. Springer, (2023)