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Gray Matter Volume Predicts Individual Body Mass Index and Its Development during Adolescence 会议论文
, Xi'an, China, May 21-23, 2021
Authors:  Wang, Haiyan;  Jiang, Tianzi
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BMI  Individualized prediction  Adolescence  Development  Gray matter volume  
Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disorders 期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2020, 卷号: 341, 页码: 10
Authors:  Zhao, Jianlong;  Huang, Jinjie;  Zhi, Dongmei;  Yan, Weizheng;  Ma, Xiaohong;  Yang, Xiao;  Li, Xianbin;  Ke, Qing;  Jiang, Tianzi;  Calhoun, Vince D.;  Sui, Jing
Favorite  |  View/Download:45/0  |  Submit date:2020/08/03
Resting-state fMRI  Generative adversarial networks (GAN)  Deep learning  Classification  Major depressive disorders  Schizophrenia  
A Multilayer and Multimodal-Fusion Architecture for Simultaneous Recognition of Endovascular Manipulations and Assessment of Technical Skills 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: PP, 期号: 99, 页码: 1-13
Authors:  Xiaohu,Zhou;  Xiaoliang.Xie;  Zhenqiu,Feng;  Zengguang,Hou;  Guibin,Bian;  Ruiqi,Li;  Zhenliang,Ni;  Shiqi,Liu;  Yan-Jie Zhou
View  |  Adobe PDF(2286Kb)  |  Favorite  |  View/Download:35/9  |  Submit date:2020/11/05
Endovascular manipulations  multilayer and multimodal-fusion architecture (MMFA)  percutaneous coronary intervention (PCI),  technical skill assessment  
基于多中心脑影像的阿尔茨海默病异常模式及分类研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2020
Authors:  金丹
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阿尔茨海默, 磁共振成像,计算机辅助诊断, 脑结构和功能,荟萃分析  
适用于磁共振影像的深度学习技术及在脑疾病分类的应用 学位论文
, 中国科学院大学: 中国科学院大学, 2020
Authors:  燕卫政
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深度学习  功能磁共振影像  精神分裂症  多中心分类  生物标志  
基于磁共振影像的抑郁症电休克治疗疗效预测及预后研究 学位论文
工学硕士, 远程答辩: 中国科学院大学, 2020
Authors:  孙海伦
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电休克疗法  重度抑郁症  磁共振影像  个体化预测  多模态融合  生物标记物  
Grab-AD: Generalizability and reproducibility of altered brain activity and diagnostic classification in Alzheimer's Disease 期刊论文
Human Brain Mapping, 2020, 期号: 0, 页码: 0
Authors:  Jin, Dan;  Wang, Pan;  Zalesky, Andrew;  Liu, Bing;  Song, Chengyuan;  Wang, Dawei;  Xu, Kaibin;  Yang, Hongwei;  Zhang, Zengqiang;  Yao, Hongxiang;  Zhou Bo;  Han, Tong;  Zuo, Nianming;  Han, Ying;  Lu, Jie;  Wang, Qing;  Yu, Chunshui;  Zhang, Xinqing;  Zhang, Xi;  Jiang, Tainzi;  Zhou, Yuying;  Liu, Yong
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activity  Alzheimer's disease  functional connectivity  multicenter  resting-state fMRI  
Integration of Facial Thermography in EEG-based Classification of ASD 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 837-854
Authors:  Dilantha Haputhanthri;  Gunavaran Brihadiswaran;  Sahan Gunathilaka;  Dulani Meedeniya;  Sampath Jayarathna;  Mark Jaime;  Christopher Harshaw
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Autism spectrum disorder  facial thermography  EEG signal processing  machine learning  decision support system  ASDGenus.  
Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises 期刊论文
BIOLOGICAL PSYCHIATRY, 2020, 期号: NA, 页码: 1-11
Authors:  Sui, Jing;  Jiang, Rongtao;  Bustillo, Juan;  Calhoun, Vince D.
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Biomarker  Cognition  Individualized prediction  Mental disorder  Multivariate analyses  Regression  
Preliminary prediction of individual response to electroconvulsive therapy using whole-brain functional magnetic resonance imaging data 期刊论文
NeuroImage: Clinical, 2019, 卷号: 26, 期号: 102080, 页码: 1-9
Authors:  Sun, Hailun;  Jiang, Rongtao;  Qi, Shile;  Katherine, L., Narr;  Benjamin, SC, Wade;  Joel, Upston;  Randall, Espinoza;  Tom, Jones;  Vince, D., Calhoun;  Christopher, C, Abbott;  Sui, Jing
View  |  Adobe PDF(2890Kb)  |  Favorite  |  View/Download:37/3  |  Submit date:2020/06/11
Individualized prediction  Electroconvulsive therapy (ECT)  Functional connectivity (FC)  Major depressive disorder (DEP)  Resting-state fMRI  HDRS  Treatment response