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A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling.

, , , , , , , , , , , , , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 241-261. PMLR, (2020)

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A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling., , , , , , , , , and 5 other author(s). MIDL, volume 121 of Proceedings of Machine Learning Research, page 241-261. PMLR, (2020)A framework for multi-component analysis of diffusion MRI data over the neonatal period., , , , , , , , , and . NeuroImage, (2019)Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI., , , , , , , , , and 7 other author(s). UNSURE/PIPPI@MICCAI, volume 12959 of Lecture Notes in Computer Science, page 168-178. Springer, (2021)Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age., , , , , , , , , and 17 other author(s). NeuroImage, (2021)A deformable model for the reconstruction of the neonatal cortex., , , , , , , , , and 2 other author(s). ISBI, page 800-803. IEEE, (2017)The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction., , , , , , , , , and 9 other author(s). NeuroImage, (2018)