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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)
DOI: 10.1117/12.2256977

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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)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)Multi-modal Registration Improves Group Discrimination in Pediatric Traumatic Brain Injury., , , , , , , , , and 2 other author(s). BrainLes@MICCAI, volume 10154 of Lecture Notes in Computer Science, page 32-42. (2016)A network approach to examining injury severity in pediatric TBI., , , , , , , , , and . ISBI, page 105-108. IEEE, (2017)Altered network topology in pediatric traumatic brain injury., , , , , , , , and . SIPAIM, volume 10572 of SPIE Proceedings, page 105720P. SPIE, (2017)White matter integrity in traumatic brain injury: Effects of permissible fiber turning angle., , , , , , , , , and . ISBI, page 930-933. IEEE, (2015)