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Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework., , , and . IPMI, volume 9123 of Lecture Notes in Computer Science, page 576-587. Springer, (2015)Evidence for human milk as a biological system and recommendations for study design—a report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)” Working Group 4, , , , , , , , , and 1 other author(s). The American Journal of Clinical Nutrition, (2023)Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space., , , , , and . IEEE Trans. Medical Imaging, 38 (12): 2838-2848 (2019)3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis., , , , , , , , , and . IEEE Trans. Medical Imaging, 38 (6): 1328-1339 (2019)Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations., , , , and . IEEE Trans. Medical Imaging, 39 (11): 3691-3702 (2020)Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network., , , , , , , , and . Pattern Recognit., (November 2023)ABCnet: Adversarial bias correction network for infant brain MR images., , , , , , , , and . Medical Image Anal., (2021)Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging., , , , , , , and . NeuroImage, 58 (4): 993-1005 (2011)A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort., , , , , , , , and . NeuroImage, (2022)The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development., , , , , , , , , and 9 other author(s). NeuroImage, (2019)