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Predictive connectome subnetwork extraction with anatomical and connectivity priors.

, , , , , , , and . Comp. Med. Imag. and Graph., (2019)

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Use of cubic Bézier curves for route planning., and . EUSIPCO, page 1786-1789. IEEE, (2011)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)K-confidence: Assessing uncertainty in tractography using K optimal paths., , and . ISBI, page 250-253. (2013)Structural network analysis of brain development in young preterm neonates., , , , , , and . NeuroImage, (2014)Machine Learning on Human Connectome Data from MRI., and . CoRR, (2016)STEAM - Statistical Template Estimation for Abnormality Mapping: A personalized DTI analysis technique with applications to the screening of preterm infants., , , , , , , and . NeuroImage, (2016)Uncertainty in Tractography via Tract Confidence Regions., , and . CDMRI/MMBC@MICCAI, page 129-138. Springer, (2013)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)