Rapid Prediction of Brain Injury Pattern in mTBI by Combining FE Analysis With a Machine-Learning Based Approach

Rapid Prediction of Brain Injury Pattern in mTBI by Combining FE Analysis With a Machine-Learning Based Approach

Mild traumatic brain injury (mTBI) is a significant issue worldwide. Public awareness of the dangers of mTBI has increased sharply in recent years, yet there is no easy-to-use tool available for early detection and post injury management. Computational models of the head impact, usually in the form...

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Bibliografische gegevens
Hoofdauteurs: Vickie B. Shim, Samantha Holdsworth, Allen A. Champagne, Nicole S. Coverdale, Douglas J. Cook, Tae-Rin Lee, Alan D. Wang, Shaofan Li, Justin W. Fernandez
Formaat: Artikel
Taal:English
Gepubliceerd in: IEEE 2020-01-01
Reeks:IEEE Access
Onderwerpen:
Diffusion tensor imaging
finite element analysis
magnetic resonance imaging
mild traumatic brain injury
partial least squares regression
Online toegang:https://ieeexplore.ieee.org/document/9205226/

Internet

https://ieeexplore.ieee.org/document/9205226/

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