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Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images.

, , , , , , , , , , , , and . IEEE Trans. Medical Imaging, 41 (5): 1219-1229 (2022)

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Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing., , , and . Medical Image Anal., (2016)Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting., , , , , , , and . MICCAI (7), volume 12267 of Lecture Notes in Computer Science, page 72-82. Springer, (2020)Harmonization of Multi-site Cortical Data Across the Human Lifespan., , , , , , , , and . MLMI@MICCAI, volume 13583 of Lecture Notes in Computer Science, page 220-229. Springer, (2022)Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks., , , , and . CoRR, (2019)MARM: Multiscale Adaptive Regression Models for Neuroimaging Data., , , , and . IPMI, volume 5636 of Lecture Notes in Computer Science, page 314-325. Springer, (2009)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)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)The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development., , , , , , , , , and 9 other author(s). NeuroImage, (2019)An attention-based context-informed deep framework for infant brain subcortical segmentation., , , , , , and . NeuroImage, (April 2023)