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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 . Pediatrics, 118 (2): 536--548 (August 2006)
DOI: 10.1542/peds.2005-1866

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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)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)A framework for multi-component analysis of diffusion MRI data over the neonatal period., , , , , , , , , and . NeuroImage, (2019)Development of BOLD signal hemodynamic responses in the human brain., , , , , , , , , and 1 other author(s). NeuroImage, 63 (2): 663-673 (2012)Combining Morphological Information in a Manifold Learning Framework: Application to Neonatal MRI., , , , , , , , , and . MICCAI (3), volume 6363 of Lecture Notes in Computer Science, page 1-8. Springer, (2010)Detection of Injury and Automated Triage of Preterm Neonatal MRI Using Patch-Based Gaussian Processes., , , , , , , and . UNSURE/PIPPI@MICCAI, volume 12959 of Lecture Notes in Computer Science, page 231-241. Springer, (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)Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age., , , , , , , , , and 17 other author(s). NeuroImage, (2021)Machine-learning to characterise neonatal functional connectivity in the preterm brain., , , , , , , , , and . NeuroImage, (2016)