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Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks., , , , , and . CoRR, (2018)Partial supervision for the FeTA challenge 2021., , , , , , and . CoRR, (2021)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)An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI., , , , , , , , , and 4 other author(s). NeuroImage, (2020)Fetal Brain Tissue Annotation and Segmentation Challenge Results., , , , , , , , , and 48 other author(s). CoRR, (2022)Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks., , , , , and . Neurocomputing, (2019)Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI., , , , , , , , , and 6 other author(s). UNSURE/PIPPI@MICCAI, volume 12959 of Lecture Notes in Computer Science, page 263-273. Springer, (2021)Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation., , , , , , , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 352-360. (2016)A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation., , , , , , , , , and 11 other author(s). IEEE Trans. Pattern Anal. Mach. Intell., 46 (5): 3784-3795 (May 2024)Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views., , , , , , , , , and . Medical Image Anal., (2016)