Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/139011
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks
Author: Mitra, J.
Shen, K.K.
Ghose, S.
Bourgeat, P.
Fripp, J.
Salvado, O.
Pannek, K.
Taylor, D.J.
Mathias, J.L.
Rose, S.
Citation: NeuroImage, 2016; 129:247-259
Publisher: Elsevier
Issue Date: 2016
ISSN: 1053-8119
1095-9572
Statement of
Responsibility: 
Jhimli Mitra, Kai-kai Shena, Soumya Ghose, Pierrick Bourgeat, Jurgen Fripp, Olivier Salvado, Kerstin Pannek, D. Jamie Taylor, Jane L. Mathias, Stephen Rose
Abstract: Abstract not available
Keywords: Diffusion tractography; Structural network connections; Traumatic brain injury; Network-based statistics; Machine learning
Description: Available online 28 January 2016
Rights: © 2016 Elsevier Inc. All rights reserved.
DOI: 10.1016/j.neuroimage.2016.01.056
Grant ID: http://purl.org/au-research/grants/nhmrc/519220
Published version: http://dx.doi.org/10.1016/j.neuroimage.2016.01.056
Appears in Collections:Psychology publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.