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Fiber Tracking in Traumatic Brain Injury: Comparison of 9 Tractography Algorithms.

, , , , , , , , , , , and . Brainles@MICCAI, volume 9556 of Lecture Notes in Computer Science, page 33-44. Springer, (2015)

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Variable clustering reveals associations between subcortical brain volume and cognitive changes in pediatric traumatic brain injury, , , , , , , , , and . 12th International Symposium on Medical Information Processing and Analysis, SPIE, (January 2017)Resting-state fMRI can reliably map neural networks in children., , , , , , , , , and 3 other author(s). NeuroImage, 55 (1): 165-175 (2011)Test-Retest Reliability of Graph Theory Measures of Structural Brain Connectivity., , , , , , , and . MICCAI (3), volume 7512 of Lecture Notes in Computer Science, page 305-312. Springer, (2012)Development of brain structural connectivity between ages 12 and 30: A 4-Tesla diffusion imaging study in 439 adolescents and adults., , , , , , , , and . NeuroImage, (2013)Fiber Tracking in Traumatic Brain Injury: Comparison of 9 Tractography Algorithms., , , , , , , , , and 2 other author(s). Brainles@MICCAI, volume 9556 of Lecture Notes in Computer Science, page 33-44. Springer, (2015)Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding., , , , , , , and . MBIA/MFCA@MICCAI, volume 11846 of Lecture Notes in Computer Science, page 30-38. Springer, (2019)Multi-Shell Diffusion MRI Measures of Brain Aging: A Preliminary Comparison From ADNI3., , , , , , , , , and 2 other author(s). ISBI, page 173-177. IEEE, (2019)ENIGMA military brain injury: A coordinated meta-analysis of diffusion MRI from multiple cohorts., , , , , , , , , and 13 other author(s). ISBI, page 1386-1389. IEEE, (2018)Changes in anatomical brain connectivity between ages 12 and 30: A HARDI study of 467 adolescents and adults., , , , , , , , , and . ISBI, page 904-907. IEEE, (2012)Anxiety Modulates Insula Recruitment in Resting-State Functional Magnetic Resonance Imaging in Youth and Adults., , , and . Brain Connect., 1 (3): 245-254 (2011)