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Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation.

, , , and . CoRR, (2021)

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Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy., , , , , , , , and . MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 390-399. Springer, (2020)Towards Unraveling Calibration Biases in Medical Image Analysis., , , and . CLIP/FAIMI/EPIMI@MICCAI, volume 14242 of Lecture Notes in Computer Science, page 132-141. Springer, (2023)Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets., , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 401-413. PMLR, (2019)Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images., , and . CoRR, (2020)AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design., , , , , , , , , and 29 other author(s). IEEE Trans. Medical Imaging, 40 (9): 2329-2342 (2021)Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration., , , and . IEEE J. Biomed. Health Informatics, 23 (4): 1374-1384 (2019)Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders., , , and . CoRR, (2020)Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation., , , and . CoRR, (2021)Understanding the impact of class imbalance on the performance of chest x-ray image classifiers., , , , and . CoRR, (2021)CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images., , , , , and . CoRR, (2023)