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MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images., , , , , , , , , and 24 other author(s). IEEE Trans. Medical Imaging, 41 (10): 2728-2738 (2022)Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge., , , , , , , , , and 26 other author(s). Medical Image Anal., (2022)Biomedical image analysis competitions: The state of current participation practice, , , , , , , , , and 1 other author(s). arXiv preprint arXiv:2212.08568, (2022)RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement., , , , , , , , and . CoRR, (2023)nnU-Net: Breaking the Spell on Successful Medical Image Segmentation., , , , and . CoRR, (2019)Why is the winner the best?, , , , , , , , , and 41 other author(s). CoRR, (2023)MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation., , , , , , , and . CoRR, (2023)Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency., , , , , , and . CoRR, (2023)The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge., , , , , , , , , and 31 other author(s). CoRR, (2019)Common Limitations of Image Processing Metrics: A Picture Story., , , , , , , , , and 24 other author(s). CoRR, (2021)