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Microstructural brain development between 30 and 40 weeks corrected age in a longitudinal cohort of extremely preterm infants., , , , , , and . NeuroImage, (2014)Automatic segmentation of the preterm neonatal brain with MRI using supervised classification., , , , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 86693X. SPIE, (2013)Assessment of quantitative cortical biomarkers in the developing brain of preterm infants., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 867011. SPIE, (2013)Implicit surface registration with surface-oriented anisotropic deformation field smoothing., , , , , and . ISBI, page 480-483. IEEE, (2013)Relation between clinical risk factors, early cortical changes, and neurodevelopmental outcome in preterm infants., , , , , , , , , and 3 other author(s). NeuroImage, (2016)Automatic segmentation of MR brain images of preterm infants using supervised classification., , , , , , , and . NeuroImage, (2015)Elastic Demons: Characterizing Cortical Development in Neonates Using an Implicit Surface Registration., , , , , and . STIA, volume 7570 of Lecture Notes in Computer Science, page 38-49. Springer, (2012)Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge., , , , , , , , , and 11 other author(s). Medical Image Analysis, 20 (1): 135-151 (2015)