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Classification of sputum sounds using artificial neural network and wavelet transform Journal article
International Journal of Biological Sciences, 2018,Volume: 14,Issue: 8,Page: 938-945
Authors:  Shi Y.;  Wang G.;  Niu J.;  Zhang Q.;  Cai M.;  Sun B.;  Wang D.;  Xue M.;  Zhang X.D.
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Artificial neural network  Auscultation  Discrete wavelet transform  Respiratory system diagnosis  Sputum sound analysis  
Short- and long-range functional connectivity density alterations in adolescents with pure conduct disorder at resting-state Journal article
Neuroscience, 2017,Volume: 351,Page: 96-107
Authors:  Lu F.-M.;  Zhou J.-S.;  Wang X.-P.;  Xiang Y.-T.;  Yuan Z.
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Conduct Disorder  Default-mode Network  Functional Connectivity Density  Resting-state Fmri  
Causal interactions in resting-state networks predict perceived loneliness Journal article
PLOS ONE, 2017,Volume: 12,Issue: 5
Authors:  Tian, Yin;  Yang, Li;  Chen, Sifan;  Guo, Daqing;  Ding, Zechao;  Tam, Kin Yip;  Yao, Dezhong
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Decreased resting-state activity in the precuneus is associated with depressive episodes in recurrent depression Journal article
Journal of Clinical Psychiatry, 2017,Volume: 78,Issue: 4,Page: e372-e382
Authors:  Liu C.-H.;  Ma X.;  Yuan Z.;  Song L.-P.;  Jing B.;  Lu H.-Y.;  Tang L.-R.;  Fan J.;  Walter M.;  Liu C.-Z.;  Wang L.;  Wang C.-Y.
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Mapping the small-world properties of brain networks in deception with functional near-infrared spectroscopy Journal article
Scientific Reports, 2016,Volume: 6
Authors:  Zhang J.;  Lin X.;  Fu G.;  Sai L.;  Chen H.;  Yang J.;  Wang M.;  Liu Q.;  Yang G.;  Zhang J.;  Yuan Z.
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Functional connectivity estimated from resting-state fMRI reveals selective alterations in male adolescents with pure conduct disorder Journal article
PLoS ONE, 2015,Volume: 10,Issue: 12
Authors:  Zhang J.;  Lu F.-M.;  Zhou J.-S.;  Zhang J.;  Xiang Y.-T.;  Liu Q.;  Wang X.-P.;  Yuan Z.
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Evidence for the Contribution of NOS1 Gene Polymorphism (rs3782206) to Prefrontal Function in Schizophrenia Patients and Healthy Controls Journal article
Neuropsychopharmacology, 2015,Volume: 40,Issue: 6,Page: 1383-1394
Authors:  Zhang Z.;  Chen X.;  Yu P.;  Zhang Q.;  Sun X.;  Gu H.;  Zhang H.;  Zhai J.;  Chen M.;  Du B.;  Deng X.;  Ji F.;  Wang C.;  Xiang Y.;  Li D.;  Wu H.;  Li J.;  Dong Q.;  Chen C.
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Combining independent component analysis and Granger causality to investigate brain network dynamics with fNIRS measurements Journal article
Biomedical Optics Express, 2013,Volume: 4,Issue: 11,Page: 2629
Authors:  Yuan Z.
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Prediction of liver fibrosis and cirrhosis in chronic hepatitis B infection by serum proteomic fingerprinting: A pilot study Journal article
Clinical Chemistry, 2005,Volume: 51,Issue: 2,Page: 328-335
Authors:  Poon T.C.W.;  Hui A.Y.;  Chan H.L.Y.;  Ang I.L.;  Chow S.M.;  Wong N.;  Sung J.J.Y.
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Application of classification tree and neural network algorithms to the identification of serological liver marker profiles for the diagnosis of hepatocellular carcinoma Journal article
Oncology, 2001,Volume: 61,Issue: 4,Page: 275-283
Authors:  Poon T.C.-W.;  Chan A.T.-C.;  Zee B.;  Ho S.K.-W.;  Mok T.S.-K.;  Leung T.W.-T.;  Johnson P.J.
Favorite  |  View/Download:3/0  |  Submit date:2018/12/18
Hepatocellular Carcinoma  Classification Tree  Neural Network  Tumour Markers  Liver Proteins