Automatic diagnosis of late-life depression by 3D convolutional neural networks and cross-sample Entropy analysis from resting-state fMRI.

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Title: Automatic diagnosis of late-life depression by 3D convolutional neural networks and cross-sample Entropy analysis from resting-state fMRI.
Authors: Lin C; Department of Psychiatry, Keelung Chang Gung Memorial Hospital, Keelung City, Taiwan.; College of Medicine, Chang Gung University, Taoyuan County, Taiwan.; Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Keelung, Taiwan., Lee SH; College of Medicine, Chang Gung University, Taoyuan County, Taiwan.; Department of Psychiatry, Linkou Chang Gung Memorial Hospital, Taoyuan County, Taiwan., Huang CM; Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan., Chen GY; Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan., Chang W; Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan., Liu HL; Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA., Ng SH; Department of Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan, Taiwan.; Department of Diagnostic Radiology, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan., Lee TM; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, Hong Kong. tmclee@hku.hk.; Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong, Hong Kong. tmclee@hku.hk.; Institute of Clinical Neuropsychology, The University of Hong Kong, Hong Kong, Hong Kong. tmclee@hku.hk., Wu SC; Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan. shunchi.wu@mx.nthu.edu.tw.
Source: Brain imaging and behavior [Brain Imaging Behav] 2023 Feb; Vol. 17 (1), pp. 125-135. Date of Electronic Publication: 2022 Nov 24.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101300405 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1931-7565 (Electronic) Linking ISSN: 19317557 NLM ISO Abbreviation: Brain Imaging Behav Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Automatic diagnosis of late-life depression by 3D convolutional neural networks and cross-sample Entropy analysis from resting-state fMRI.
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  Data: <searchLink fieldCode="AU" term="%22Lin+C%22">Lin C</searchLink>; Department of Psychiatry, Keelung Chang Gung Memorial Hospital, Keelung City, Taiwan.; College of Medicine, Chang Gung University, Taoyuan County, Taiwan.; Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Keelung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lee+SH%22">Lee SH</searchLink>; College of Medicine, Chang Gung University, Taoyuan County, Taiwan.; Department of Psychiatry, Linkou Chang Gung Memorial Hospital, Taoyuan County, Taiwan.<br /><searchLink fieldCode="AU" term="%22Huang+CM%22">Huang CM</searchLink>; Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chen+GY%22">Chen GY</searchLink>; Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chang+W%22">Chang W</searchLink>; Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan.<br /><searchLink fieldCode="AU" term="%22Liu+HL%22">Liu HL</searchLink>; Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.<br /><searchLink fieldCode="AU" term="%22Ng+SH%22">Ng SH</searchLink>; Department of Head and Neck Oncology Group, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan, Taiwan.; Department of Diagnostic Radiology, Linkou Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lee+TM%22">Lee TM</searchLink>; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, Hong Kong. tmclee@hku.hk.; Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong, Hong Kong. tmclee@hku.hk.; Institute of Clinical Neuropsychology, The University of Hong Kong, Hong Kong, Hong Kong. tmclee@hku.hk.<br /><searchLink fieldCode="AU" term="%22Wu+SC%22">Wu SC</searchLink>; Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan. shunchi.wu@mx.nthu.edu.tw.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101300405 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1931-7565 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219317557%22">19317557 </searchLink><i>NLM ISO Abbreviation: </i>Brain Imaging Behav <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1007/s11682-022-00748-0
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      – Code: eng
        Text: English
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        StartPage: 125
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      – TitleFull: Automatic diagnosis of late-life depression by 3D convolutional neural networks and cross-sample Entropy analysis from resting-state fMRI.
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            – D: 01
              M: 02
              Text: 2023 Feb
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              Y: 2023
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