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Hippocampal shape variations at term equivalent age in very preterm infants compared with term controls: Perinatal predictors and functional significance at age 7., , , , , , , , , and . NeuroImage, (2013)A New MRI-Based Pediatric Subcortical Segmentation Technique (PSST)., , , , , , , , , and 3 other author(s). Neuroinformatics, 14 (1): 69-81 (2016)Neonatal Brain Tissue Classification with Morphological Adaptation and Unified Segmentation., , , , , , , , , and 5 other author(s). Frontiers Neuroinformatics, (2016)Updates to the Melbourne Children's Regional Infant Brain Software Package (M-CRIB-S)., , , , , , , , , and 1 other author(s). Neuroinformatics, 22 (2): 207-223 (April 2024)Structural connectivity relates to perinatal factors and functional impairment at 7 years in children born very preterm., , , , , , , , , and 6 other author(s). NeuroImage, (2016)A new neonatal cortical and subcortical brain atlas: the Melbourne Children's Regional Infant Brain (M-CRIB) atlas., , , , , , , , , and 6 other author(s). NeuroImage, (2017)Neonatal MRI to predict neurodevelopmental outcomes in preterm infants., , , , and . N Engl J Med, 355 (7): 685--694 (August 2006)Cortical structural abnormalities in very preterm children at 7 years of age., , , , , , and . NeuroImage, (2015)Corpus callosum alterations in very preterm infants: Perinatal correlates and 2 year neurodevelopmental outcomes., , , , , , and . NeuroImage, 59 (4): 3571-3581 (2012)Changes in neonatal regional brain volume associated with preterm birth and perinatal factors., , , , , , , , , and 6 other author(s). NeuroImage, (2019)