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Erratum to "Predicting Infant Cortical Surface Development Using a 4D Varifold-based Learning Framework and Local Topography-based Shape Morphing" Med. Image Anal. 28 (2016)1-12.

, , , and . Medical Image Anal., (2017)

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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)Multivariate Varying Coefficient Models for DTI Tract Statistics., , , , , , , and . MICCAI (1), volume 6361 of Lecture Notes in Computer Science, page 690-697. Springer, (2010)Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space., , , , , and . IEEE Trans. Medical Imaging, 38 (12): 2838-2848 (2019)A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort., , , , , , , , and . NeuroImage, (2022)An attention-based context-informed deep framework for infant brain subcortical segmentation., , , , , , and . NeuroImage, (April 2023)The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development., , , , , , , , , and 9 other author(s). NeuroImage, (2019)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)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)Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces., , , , , , and . ISBI, page 1380-1383. IEEE, (2013)