Research ArticleAdult Brain
Open Access
Neuroanatomic Markers of Posttraumatic Epilepsy Based on MR Imaging and Machine Learning
H. Akrami, R.M. Leahy, A. Irimia, P.E. Kim, C.N. Heck and A.A. Joshi
American Journal of Neuroradiology March 2022, 43 (3) 347-353; DOI: https://doi.org/10.3174/ajnr.A7436
H. Akrami
aFrom the Department of Biomedical Engineering (H.A., A.I.)
R.M. Leahy
bMing Hsieh Department of Electrical and Computer Engineering (R.M.L., A.A.J.)
A. Irimia
aFrom the Department of Biomedical Engineering (H.A., A.I.)
cLeonard Davis School of Gerontology (A.I.)
P.E. Kim
dDepartments of Radiology (P.E.K.)
C.N. Heck
eNeurology (C.N.H.), University of Southern California, Los Angeles, California
A.A. Joshi
bMing Hsieh Department of Electrical and Computer Engineering (R.M.L., A.A.J.)

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In this issue
American Journal of Neuroradiology
Vol. 43, Issue 3
1 Mar 2022
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H. Akrami, R.M. Leahy, A. Irimia, P.E. Kim, C.N. Heck, A.A. Joshi
Neuroanatomic Markers of Posttraumatic Epilepsy Based on MR Imaging and Machine Learning
American Journal of Neuroradiology Mar 2022, 43 (3) 347-353; DOI: 10.3174/ajnr.A7436
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