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Identification of Minimal Hepatic Encephalopathy in Patients with Cirrhosis Based on White Matter Imaging and Bayesian Data Mining
H.-J. Chen, R. Chen, M. Yang, G.-J. Teng and E.H. Herskovits
American Journal of Neuroradiology March 2015, 36 (3) 481-487; DOI: https://doi.org/10.3174/ajnr.A4146
H.-J. Chen
aFrom the Jiangsu Key Laboratory of Molecular and Functional Imaging (H.-J.C., M.Y., G.-J.T.), Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
cDepartment of Radiology (H.-J.C.), The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
R. Chen
bDepartment of Diagnostic Radiology and Nuclear Medicine (R.C., E.H.H.), University of Maryland School of Medicine, Baltimore, Maryland
M. Yang
aFrom the Jiangsu Key Laboratory of Molecular and Functional Imaging (H.-J.C., M.Y., G.-J.T.), Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
G.-J. Teng
aFrom the Jiangsu Key Laboratory of Molecular and Functional Imaging (H.-J.C., M.Y., G.-J.T.), Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
E.H. Herskovits
bDepartment of Diagnostic Radiology and Nuclear Medicine (R.C., E.H.H.), University of Maryland School of Medicine, Baltimore, Maryland

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In this issue
American Journal of Neuroradiology
Vol. 36, Issue 3
1 Mar 2015
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H.-J. Chen, R. Chen, M. Yang, G.-J. Teng, E.H. Herskovits
Identification of Minimal Hepatic Encephalopathy in Patients with Cirrhosis Based on White Matter Imaging and Bayesian Data Mining
American Journal of Neuroradiology Mar 2015, 36 (3) 481-487; DOI: 10.3174/ajnr.A4146
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