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Deep learning-based parameter estimation in fetal diffusion-weighted MRI., , , , , , and . NeuroImage, (2021)Improved statistical evaluation of group differences in connectomes by screening-filtering strategy with application to study maturation of brain connections between childhood and adolescence., , , , , , and . NeuroImage, (2015)Asymmetric Insular Connectomics Revealed by Diffusion Magnetic Resonance Imaging Analysis of Healthy Brain Development., , , , , , , and . Brain Connect., 9 (1): 2-12 (2019)Ex vivo fetal brain MRI: Recent advances, challenges, and future directions., , , , , and . NeuroImage, (2019)Fetal brain growth portrayed by a spatiotemporal diffusion tensor MRI atlas computed from in utero images., , , , , , , , and . NeuroImage, (2019)A Computational Framework for Characterizing Normative Development of Structural Brain Connectivity in the Perinatal Stage., , , and . ISBI, page 1-5. IEEE, (2023)Exploring early human brain development with structural and physiological neuroimaging., , , , , , , and . NeuroImage, (2019)Learning to estimate  the fiber orientation distribution function from diffusion-weighted MRI., , , , , and . NeuroImage, (2021)A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI., , , , , , , , , and . CoRR, (2020)A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging., , , , , , and . Medical Image Anal., (2021)