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Predictive connectome subnetwork extraction with anatomical and connectivity priors., , , , , , , and . Comp. Med. Imag. and Graph., (2019)BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment., , , , , , , and . NeuroImage, (2017)Predictive Subnetwork Extraction with Structural Priors for Infant Connectomes., , , , , , , and . MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 175-183. (2016)Spatially adapted augmentation of age-specific atlas-based segmentation using patch-based priors., , , , , , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90341H. SPIE, (2014)Patch-based augmentation of Expectation-Maximization for brain MRI tissue segmentation at arbitrary age after premature birth., , , , , , , and . NeuroImage, (2016)Prediction of Motor Function in Very Preterm Infants Using Connectome Features and Local Synthetic Instances., , , , , , , , and . MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 69-76. Springer, (2015)Prediction of Brain Network Age and Factors of Delayed Maturation in Very Preterm Infants., , , , , , , , and . MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 84-91. Springer, (2017)Structural network analysis of brain development in young preterm neonates., , , , , , and . NeuroImage, (2014)White matter injury in term neonates with congenital heart diseases: Topology & comparison with preterm newborns., , , , , , , , , and 4 other author(s). NeuroImage, (2019)A Fast Segmentation-free Fully Automated Approach to White Matter Injury Detection in Preterm Infants., , , , , and . CoRR, (2018)