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Do I know this? segmentation uncertainty under domain shift.

, , , , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)

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DeepNeuro: an open-source deep learning toolbox for neuroimaging., , , , , , , , , and 1 other author(s). Neuroinformatics, 19 (1): 127-140 (2021)Improving the repeatability of deep learning models with Monte Carlo dropout., , , , , , , , , and . npj Digit. Medicine, (2022)Give me (un)certainty - An exploration of parameters that affect segmentation uncertainty., , , , and . CoRR, (2019)DeepNeuro: an open-source deep learning toolbox for neuroimaging., , , , , , and . CoRR, (2018)Do I know this? segmentation uncertainty under domain shift., , , , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions., , , , , , , , , and 2 other author(s). CoRR, (2020)Fair Conformal Predictors for Applications in Medical Imaging., , , , and . CoRR, (2021)Monte Carlo dropout increases model repeatability., , , , , , , and . CoRR, (2021)QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results., , , , , , , , , and 82 other author(s). CoRR, (2021)An exploration of uncertainty information for segmentation quality assessment., , , , , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113131K. SPIE, (2020)