A semi-automated workflow solution for multimodal neuroimaging: application to patients with traumatic brain injury-Reference-Cited by-同舟云学术

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A semi-automated workflow solution for multimodal neuroimaging: application to patients with traumatic brain injury

Published:2015-12-01 Issue:1 Volume:3 Page:1-15
ISSN:2198-4018
Container-title:Brain Informatics
language:en
Short-container-title:Brain Inf.

Author:

Wong Koon-Pong,Bergsneider Marvin,Glenn Thomas C.,Kepe Vladimir,Barrio Jorge R.,Hovda David A.,Vespa Paul M.,Huang Sung-Cheng

Funder

National Institutes of Health

Elizabeth and Thomas Plott Chair Endowment in Gerontology

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Neurology

Link

http://link.springer.com/content/pdf/10.1007/s40708-015-0026-y.pdf

Reference50 articles.

1. Faul M, Xu L, Wald MM, Coronado VG (2010) Traumatic brain injury in the United States: emergency department visits, hospitalizations and deaths 2002–2006. Centers for Disease Control and Prevention, National Center for Injury Prevention and Control, Atlanta

2. Wong K-P (2005) Medical image segmentation: methods and applications in functional imaging. In: Suri JS, Wilson DL, Laxminarayan S (eds) Handbook of biomedical image analysis—vol II: segmentation models, Part B. Kluwer/Plenum Publishers, New York, pp 111–182

3. Liu S, Cai W, Liu S et al (2015) Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders. Brain Inform 2:167–180

4. Liu S, Cai W, Liu S et al (2015) Multimodal neuroimaging computing: the workflows, methods, and platforms. Brain Inform 2:181–195

5. Mazziotta J, Pelizzari CC, Chen GT, Bookstein FL, Valentino D (1991) Region of interest issues: the relationship between structure and function in the brain. J Cereb Blood Flow Metab 11:A51–A56

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