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Fetal Brain Tissue Annotation and Segmentation Challenge Results., , , , , , , , , and 48 other author(s). CoRR, (2022)An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field., , , , , , , , , and 2 other author(s). MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 358-367. Springer, (2023)Longitudinal Analysis of Fetal MRI in Patients with Prenatal Spina Bifida Repair., , , , , , , and . SUSI/PIPPI@MICCAI, volume 11798 of Lecture Notes in Computer Science, page 161-170. Springer, (2019)Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation., , , , , and . CoRR, (2021)Efficient Multi-class Fetal Brain Segmentation in High Resolution MRI Reconstructions with Noisy Labels., , and . ASMUS/PIPPI@MICCAI, volume 12437 of Lecture Notes in Computer Science, page 295-304. Springer, (2020)Why is the Winner the Best?, , , , , , , , , and 115 other author(s). CVPR, page 19955-19966. IEEE, (2023)Fetal brain tissue annotation and segmentation challenge results., , , , , , , , , and 48 other author(s). Medical Image Anal., (August 2023)Why is the winner the best?, , , , , , , , , and 41 other author(s). CoRR, (2023)A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset., , , , , , , , , and 10 other author(s). CoRR, (2020)FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom., , , , , , , , , and 9 other author(s). CoRR, (2021)