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Generalized Wasserstein Dice Loss, Test-Time Augmentation, and Transformers for the BraTS 2021 Challenge.

, , , , , and . BrainLes@MICCAI (2), volume 12963 of Lecture Notes in Computer Science, page 187-196. Springer, (2021)

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A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation., , , , , , , , , and 11 other author(s). CoRR, (2022)Trustworthy Deep Learning for Medical Image Segmentation.. CoRR, (2023)Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings., , , , , , , , , and 7 other author(s). BrainLes@MICCAI, volume 13769 of Lecture Notes in Computer Science, page 3-13. Springer, (2022)Partial supervision for the FeTA challenge 2021., , , , , , and . CoRR, (2021)Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging., , , , , , , , , and 30 other author(s). CoRR, (2020)SGD with Hardness Weighted Sampling for Distributionally Robust Deep Learning., , and . CoRR, (2020)Label-Set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation., , , , , , , , , and 2 other author(s). MICCAI (2), volume 12902 of Lecture Notes in Computer Science, page 647-657. Springer, (2021)MONAIfbs: MONAI-based fetal brain MRI deep learning segmentation., , , , and . CoRR, (2021)Fetal brain tissue annotation and segmentation challenge results., , , , , , , , , and 48 other author(s). Medical Image Anal., (August 2023)Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation., , , , , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 285-293. Springer, (2017)