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ADHD Classification Within and Cross Cohort Using an Ensembled Feature Selection Framework 会议论文
, 意大利, 2019/04/01
作者:  Yao DR(姚东任);  Sun HL(孙海伦);  Guo XJ(郭晓杰);  Vince D. Calhoun;  Sun L(孙黎);  Sui J(隋婧)
Adobe PDF(243Kb)  |  收藏  |  浏览/下载:203/85  |  提交时间:2021/06/17
NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders 期刊论文
NEUROIMAGE-CLINICAL, 2020, 卷号: 28, 页码: 19
作者:  Du, Yuhui;  Fu, Zening;  Sui, Jing;  Gao, Shuang;  Xing, Ying;  Lin, Dongdong;  Salman, Mustafa;  Abrol, Anees;  Rahaman, Md Abdur;  Chen, Jiayu;  Hong, L. Elliot;  Kochunov, Peter;  Osuch, Elizabeth A.;  Calhoun, Vince D.
收藏  |  浏览/下载:315/0  |  提交时间:2021/03/01
fMRI  Independent component analysis  Brain disorders  Reproducible and comparable biomarkers  NeuroMark  
Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia 期刊论文
Neuroimage, 2015, 期号: 107, 页码: 345-55
作者:  Qingbao Yu;  Erik B. Erhardt;  Sui Jing(隋婧);  Yuhui Du;  Hao H;  Devon Hjelm;  Mustafa S. Cetina;  Srinivas Rachakonda;  Robyn L. Miller;  Godfrey Pearlson;  Vince D. Calhoun
浏览  |  Adobe PDF(2388Kb)  |  收藏  |  浏览/下载:254/61  |  提交时间:2018/01/08
Brain Graph  Dynamic  Ica  R-fmri  Schizophrenia  Time Varying  
Artifact Removal in the Context of group ICA: A comparison of single-subject and group approaches. 会议论文
, USA, 2015-12-21
作者:  Yuhui Du;  Elena A. Allen;  Hao He;  Sui Jing(隋婧);  Lei Wu;  Vince D. Calhoun
浏览  |  Adobe PDF(1805Kb)  |  收藏  |  浏览/下载:325/58  |  提交时间:2018/01/08
Brain Functional Networks  Independent Component Analysis (Ica)  Artifacts Removal  
Multimodal fusion of brain imaging data: A key to finding the missing link (s) in complex mental illness 期刊论文
Biol Psychiatry Cogn Neurosci Neuroimaging., 2016, 卷号: 3, 期号: 1, 页码: 230-244
作者:  Vince D Calhoun;  Sui Jing(隋婧)
浏览  |  Adobe PDF(2991Kb)  |  收藏  |  浏览/下载:231/58  |  提交时间:2018/01/08
Data Fusion  Psychosis  Connectivity  Brain Function  Schizophrenia  Independent Component Analysis  
Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling 期刊论文
IEEE Journal of Selected Topics in Signal Processing, 2016, 卷号: 7, 期号: 10, 页码: 1134-1149
作者:  Rogers F. Silva;  Sergey M. Plis;  Sui Jing(隋婧);  Marios S. Pattichis;  Tülay Adalı;  Vince D. Calhoun
Adobe PDF(971Kb)  |  收藏  |  浏览/下载:295/65  |  提交时间:2018/01/08
Bss  Neuroimaging  Unimodal  Multimodality  Multiset Data Analysis  Overview  Subspace  Unify  
Data-driven cluster selection for subcortical shape and cortical thickness predicts recovery from depressive symptoms 会议论文
, Melbourne, VIC, Australia, 2017-4-18
作者:  Benjamin S.C. Wade;  Sui Jing(隋婧);  Stephanie Njau;  Amber M. Leaver;  Megha Vasvada;  Boris A. Gutman;  Paul M. Thompson;  Randal Espinoza;  Roger P. Woods;  Christopher C. Abbott;  Katherine L. Narr;  Shantanu H. Joshi
Adobe PDF(1572Kb)  |  收藏  |  浏览/下载:337/82  |  提交时间:2018/01/08
Random Forest  Treatment Responseprediction  Shape Analysis  Major Depression  Electroconvulsive  
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls 期刊论文
NEUROIMAGE, 2017, 卷号: 145, 页码: 137-165
作者:  Arbabshirani, Mohammad R.;  Plis, Sergey;  Sui, Jing;  Calhoun, Vince D.
Adobe PDF(2676Kb)  |  收藏  |  浏览/下载:464/115  |  提交时间:2017/02/14
Neuroimaging  Machine Learning  Classification  Brain Disorders  Prediction