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; E.H. Herskovits

doi:10.3174/ajnr.A4146

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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.

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R. Chen

bDepartment of Diagnostic Radiology and Nuclear Medicine (R.C., E.H.H.), University of Maryland School of Medicine, Baltimore, Maryland

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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

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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

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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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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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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, E.H. Herskovits

American Journal of Neuroradiology Mar 2015, 36 (3) 481-487; DOI: 10.3174/ajnr.A4146

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