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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)Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching., , , , , , , , and . NeuroImage, (2015)Regional changes in thalamic shape and volume with increasing age., , , , , , , , and . NeuroImage, 63 (3): 1134-1142 (2012)Multimodal surface matching with higher-order smoothness constraints., , , , , , , , , and 9 other author(s). NeuroImage, (2018)Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning., , , , , , , , , and 4 other author(s). npj Digit. Medicine, (2021)Regional growth and atlasing of the developing human brain., , , , , , , , , and 1 other author(s). NeuroImage, (2016)CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI., , , , , , , and . UNSURE/PIPPI@MICCAI, volume 12959 of Lecture Notes in Computer Science, page 221-230. Springer, (2021)The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants., , , , , , , , , and 9 other author(s). NeuroImage, (2020)Resting State fMRI in the moving fetus: A robust framework for motion, bias field and spin history correction., , , , , , , , , and 1 other author(s). NeuroImage, (2014)Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo., , , , , , , , , and 1 other author(s). NeuroImage, (2019)