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基于独立成分子空间支持向量机的精神疾病磁共振影像学分类研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  高爽
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独立成分分析  子空间相似度  支持向量机  磁共振影像  精神疾病分类  
Does Depressive-Type Schizophrenia Exist? How Do We Prove It? An Updated Review and Overview 期刊论文
JOURNAL OF NERVOUS AND MENTAL DISEASE, 2019, 卷号: 207, 期号: 7, 页码: 555-560
Authors:  Huang, Jianjie;  Zhuo, Chuanjun;  Song, Xueqin;  Li, Yachen;  Jing, Rixing;  Tian, Hongjun;  Wang, Lina;  Mao, Fuqiang;  Li, Shen;  Jiang, Ronghuan;  Chen, Suling
Favorite  |  View/Download:15/0  |  Submit date:2019/12/16
Depressive-type schizophrenia  magnetic resonance imaging  genetics  deep learning  classifier  
基于多基因遗传风险的精神分裂症神经机制研究 学位论文
工学硕士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  刘书
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精神分裂症  多基因遗传  Mir137  灰质体积  功能连接  
基于磁共振成像的个体化脑图谱绘制及方法研究} 学位论文
, 中国科学院自动化所: 中国科学院自动化所, 2019
Authors:  张瀚天
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磁共振成像,个体化脑图谱,有监督学习,纤维跟踪,扩散张量成像  
Age-related structural and functional variations in 5,967 individuals across the adult lifespan 期刊论文
Human Brain Mapping, 2019, 期号: 2020, 页码: 1-13
Authors:  Luo N(罗娜);  Sui J;  Anees Abrol;  Dongdong Lin;  Jiayu Chen;  Victor M. Vergara;  Zening Fu;  Yuhui Du;  Eswar Damaraju;  Yong Xu;  Jessica A. Turner;  Vince D. Calhoun
View  |  Adobe PDF(3996Kb)  |  Favorite  |  View/Download:49/9  |  Submit date:2020/01/14
adult lifespan, age-related variations, functional network connectivity, independent component analysis, multivariate linear regression model, structural network correlation  
Machine learning in major depression: From classification to treatment outcome prediction 期刊论文
CNS NEUROSCIENCE & THERAPEUTICS, 2018, 卷号: 24, 期号: 11, 页码: 1037-1052
Authors:  Gao, Shuang;  Calhoun, Vince D.;  Sui, Jing
View  |  Adobe PDF(1954Kb)  |  Favorite  |  View/Download:54/12  |  Submit date:2019/01/08
classification  machine learning  magnetic resonance imaging  major depressive disorder  review  
Complexity in mood disorder diagnosis: fMRI connectivity networks predicted medication-class of response in complex patients 期刊论文
ACTA PSYCHIATRICA SCANDINAVICA, 2018, 卷号: 138, 期号: 5, 页码: 472-482
Authors:  Osuch, E.;  Gao, S.;  Wammes, M.;  Theberge, J.;  Willimason, P.;  Neufeld, R. J.;  Du, Y.;  Sui, J.;  Calhoun, V.
View  |  Adobe PDF(1446Kb)  |  Favorite  |  View/Download:54/3  |  Submit date:2019/01/08
mood disorders  bipolar disorder  functional neuroimaging  machine learning  differential diagnosis  
SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets 期刊论文
NEUROPSYCHOPHARMACOLOGY, 2018, 卷号: 43, 期号: 5, 页码: 1078-1087
Authors:  Jiang, Rongtao;  Abbott, Christopher C.;  Jiang, Tianzi;  Du, Yuhui;  Espinoza, Randall;  Narr, Katherine L.;  Wade, Benjamin;  Yu, Qingbao;  Song, Ming;  Lin, Dongdong;  Chen, Jiayu;  Jones, Thomas;  Argyelan, Miklos;  Petrides, Georgios;  Sui, Jing;  Calhoun, Vince D.
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Inter and intra-hemispheric structural imaging markers predict depression relapse after electroconvulsive therapy: a multisite study 期刊论文
TRANSLATIONAL PSYCHIATRY, 2017, 卷号: 7, 期号: 12, 页码: 1270
Authors:  Wade, Benjamin S. C.;  Sui, Jing;  Hellemann, Gerhard;  Leaver, Amber M.;  Espinoza, Randall T.;  Woods, Roger P.;  Abbott, Christopher C.;  Joshi, Shantanu H.;  Narr, Katherine L.
View  |  Adobe PDF(783Kb)  |  Favorite  |  View/Download:108/12  |  Submit date:2018/01/08
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基于磁共振成像的人类脑网络组图谱的绘制及其方法研究 学位论文
, 北京: 中国科学院大学, 2017
Authors:  李海
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分区  脑图谱  人类脑网络组图谱  磁共振成像  扩散张量成像  纤维跟踪  并行计算