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Multi-modal Registration Improves Group Discrimination in Pediatric Traumatic Brain Injury.

, , , , , , , , , , , and . BrainLes@MICCAI, volume 10154 of Lecture Notes in Computer Science, page 32-42. (2016)

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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)A network approach to examining injury severity in pediatric TBI., , , , , , , , , and . ISBI, page 105-108. IEEE, (2017)A Comparative Study of Automatic Approaches for Preclinical MRI-based Brain Segmentation in the Developing Rat., , , , , , and . EMBC, page 652-655. IEEE, (2018)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)Craniectomy Effects on Resting State Functional Connectivity and Cognitive Performance in Immature Rats., , , , , and . EMBC, page 5414-5417. IEEE, (2018)A Novel Modular Headmount Design for non-invasive Scalp EEG Recordings in Awake Animal Models., , , , , , , and . EMBC, page 5422-5425. IEEE, (2018)Quantification of biological responses as predictors of cognitive outcome after developmental TBI., , , , and . BHI, page 381-384. IEEE, (2018)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)