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A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 4, 页码: 1279-1289
作者:  Yao, Dongren;  Sui, Jing;  Wang, Mingliang;  Yang, Erkun;  Jiaerken, Yeerfan;  Luo, Na;  Yap, Pew-Thian;  Liu, Mingxia;  Shen, Dinggang
Adobe PDF(2425Kb)  |  收藏  |  浏览/下载：378/68  |  提交时间：2021/05/17
Functional magnetic resonance imaging  Convolution  Diseases  Fuses  Brain modeling  Neuroimaging  White matter  Brain connectivity  graph convolutional network  triplet  classification  
Shared and distinct resting functional connectivity in children and adults with attention-deficit/hyperactivity disorder 期刊论文
TRANSLATIONAL PSYCHIATRY, 2020, 卷号: 10, 期号: 1, 页码: 12
作者:  Guo, Xiaojie;  Yao, Dongren;  Cao, Qingjiu;  Liu, Lu;  Zhao, Qihua;  Li, Hui;  Huang, Fang;  Wang, Yanfei;  Qian, Qiujin;  Wang, Yufeng;  Calhoun, Vince D.;  Johnstone, Stuart J.;  Sui, Jing;  Sun, Li
Adobe PDF(3974Kb)  |  收藏  |  浏览/下载：345/67  |  提交时间：2020/04/07
ADHD  Functional Connectivity  Feature Selection  
Machine Learning for Patient-Specific Quality Assurance of VMAT: Prediction and Classification Accuracy 期刊论文
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2019, 卷号: 105, 期号: 4, 页码: 893-902
作者:  Li, Jiaqi;  Wang, Le;  Zhang, Xile;  Liu, Lu;  Li, Jun;  Chan, Maria F.;  Sui, Jing;  Yang, Ruijie
Adobe PDF(1690Kb)  |  收藏  |  浏览/下载：284/37  |  提交时间：2019/09/30
VMAT  Machine Learning  Patient-Specific Quality Assurance  
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
作者:  Osuch, E.;  Gao, S.;  Wammes, M.;  Theberge, J.;  Willimason, P.;  Neufeld, R. J.;  Du, Y.;  Sui, J.;  Calhoun, V.
浏览  |  Adobe PDF(1446Kb)  |  收藏  |  浏览/下载：457/54  |  提交时间：2019/01/08
mood disorders  bipolar disorder  functional neuroimaging  machine learning  differential diagnosis  
Feature extraction using convolutional neural networks for multi-atlas based image segmentation 会议论文
, Houston, Texas, United States, 2018-3-2
作者:  Xuesong, Yang;  Yong, Fan
Adobe PDF(813Kb)  |  收藏  |  浏览/下载：236/73  |  提交时间：2019/04/30
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：438/106  |  提交时间：2017/02/14
Neuroimaging  Machine Learning  Classification  Brain Disorders  Prediction  
Discriminating Bipolar Disorder from Major Depression Based on Kernel Svm Using Functional Independent Components 会议论文
, Tokyo, Japan., 2017/9/25-28
作者:  Shuang Gao;  Elizabeth A Osuch;  Michael Wammes;  Jean Théberge;  Tianzi Jiang;  Vince D Calhoun;  Sui Jing(隋婧)
浏览  |  Adobe PDF(712Kb)  |  收藏  |  浏览/下载：290/87  |  提交时间：2018/03/09
Independent Component Analysis  Linear Subspace  Kernel Svm  Bipolar Disorder  Major Depression Disorder  Fmri Data  Schizophrenia  Unipolar  Amygdala  
Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease 期刊论文
NEUROIMAGE, 2016, 卷号: 127, 期号: 1, 页码: 435-444
作者:  Yang, Zhen;  Ye, Chuyang;  Bogovic, John A.;  Carass, Aaron;  Jedynak, Bruno M.;  Ying, Sarah H.;  Prince, Jerry L.;  Zhen Yang
浏览  |  Adobe PDF(1387Kb)  |  收藏  |  浏览/下载：280/86  |  提交时间：2016/06/14
Cerebellum  Cerebellar Lobule Segmentation  Graph Cuts  Magnetic Resonance Imaging  Multi-atlas Labeling  Random Forest Classifier  Spinocerebellar Ataxia  
Multimodal classification of schizophrenia patients with MEG and fMRI data using static and dynamic connectivity measures 期刊论文
Frontiers in Neuroscience, 2016, 卷号: 10, 期号: 2016, 页码: 466
作者:  Mustafa S.Cetin;  JonM.Houck;  BarnalyRashid;  OktayAgacoglu;  Julia M.Stephen;  Sui Jing(隋婧);  Jose Canive;  AndyMayer;  CherylAine;  Juan R.Bustillo;  VinceD.Calhoun
浏览  |  Adobe PDF(4892Kb)  |  收藏  |  浏览/下载：569/221  |  提交时间：2018/01/08
Connectivity  Fmri  Meg  Schizophrenia  Static And Dynamic Functional Connectivity  Classification  
Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6 期刊论文
Neuroinformatics, 2015, 卷号: 13, 期号: 3, 页码: 367-381
作者:  Ye, Chuyang;  Yang, Zhen;  Ying, Sarah;  Prince, Jerry
浏览  |  Adobe PDF(3506Kb)  |  收藏  |  浏览/下载：168/52  |  提交时间：2018/01/12
Cerebellar Peduncles  Random Forest Classifier