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Learning and Combining Image Similarities for Neonatal Brain Population Studies.

, , , , , , , , , and . MLMI, volume 9352 of Lecture Notes in Computer Science, page 110-117. Springer, (2015)

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Natural history of brain lesions in extremely preterm infants studied with serial magnetic resonance imaging from birth and neurodevelopmental assessment., , , , , , , , , and 5 other author(s). Pediatrics, 118 (2): 536--548 (August 2006)The emergence of functional architecture during early brain development., , and . NeuroImage, (2017)Learning and Combining Image Similarities for Neonatal Brain Population Studies., , , , , , , , , and . MLMI, volume 9352 of Lecture Notes in Computer Science, page 110-117. Springer, (2015)Machine-learning to characterise neonatal functional connectivity in the preterm brain., , , , , , , , , and . NeuroImage, (2016)Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age., , , , , , , , , and 17 other author(s). NeuroImage, (2021)A whole brain morphometric analysis of changes associated with pre-term birth., , , , , , , , and . Medical Imaging: Image Processing, volume 6144 of SPIE Proceedings, page 61445Y. SPIE, (2006)The effect of preterm birth on neonatal cerebral vasculature studied with magnetic resonance angiography at 3 Tesla., , , , , , , and . NeuroImage, 32 (3): 1050-1059 (2006)An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth., , , , , , , , and . MICCAI (1), volume 2878 of Lecture Notes in Computer Science, page 697-704. Springer, (2003)Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches., , , , , , and . MICCAI (1), volume 8149 of Lecture Notes in Computer Science, page 574-581. Springer, (2013)Automatic Detection of Neonatal Brain Injury on MRI., , , , , and . ASMUS/PIPPI@MICCAI, volume 12437 of Lecture Notes in Computer Science, page 324-333. Springer, (2020)