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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, 期号: 108756, 页码: 10
作者:  Zhao, Jianlong;  Huang, Jinjie;  Zhi, Dongmei;  Yan, Weizheng;  Ma, Xiaohong;  Yang, Xiao;  Li, Xianbin;  Ke, Qing;  Jiang, Tianzi;  Calhoun, Vince D.;  Sui, Jing
Adobe PDF(5325Kb)  |  收藏  |  浏览/下载：348/58  |  提交时间：2020/08/03
Resting-state fMRI  Generative adversarial networks (GAN)  Deep learning  Classification  Major depressive disorders  Schizophrenia  
A method for building a genome-connectome bipartite graph model 期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2019, 卷号: 320, 页码: 64-71
作者:  Yu, Qingbao;  Chen, Jiayu;  Du, Yuhui;  Sui, Jing;  Damaraju, Eswar;  Turner, Jessica A.;  van Erp, Theo G. M.;  Macciardi, Fabio;  Belger, Aysenil;  Ford, Judith M.;  McEwen, Sarah;  Mathalon, Daniel H.;  Mueller, Bryon A.;  Preda, Adrian;  Vaidya, Jatin;  Pearlson, Godfrey D.;  Calhoun, Vince D.
收藏  |  浏览/下载：347/0  |  提交时间：2019/07/12
fMRI  FNC  SNPs  Bipartite graph  
Model order effects on ICA of resting-state complex-valued fMRI data: Application to schizophrenia 期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2018, 卷号: 304, 页码: 24-38
作者:  Kuang, Li-Dan;  Lin, Qiu-Hua;  Gong, Xiao-Feng;  Cong, Fengyu;  Sui, Jing;  Calhoun, Vince D.
收藏  |  浏览/下载：234/0  |  提交时间：2018/10/10
Independent component analysis (ICA)  Complex-valued fMRI data  Model order  Component splitting  Phase data  Schizophrenia  
Comparing brain graphs in which nodes are regions of interest or independent components: A simulation study 期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2017, 卷号: 291, 期号: 2017111, 页码: 61-68
作者:  Yu, Qingbao;  Du, Yuhui;  Chen, Jiayu;  He, Hao;  Sui, Jing;  Pearlson, Godfrey;  Calhoun, Vince D.
浏览  |  Adobe PDF(2031Kb)  |  收藏  |  浏览/下载：349/55  |  提交时间：2018/01/08
Brain Graph  Roi  Ica  Simulation  Ground Truth  
Multi-subject fMRI analysis via combined independent component analysis and shift-invariant canonical polyadic decomposition 期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2015, 卷号: 256, 页码: 127-140
作者:  Kuang, Li-Dan;  Lin, Qiu-Hua;  Gong, Xiao-Feng;  Cong, Fengyu;  Sui, Jing;  Calhoun, Vince D.
收藏  |  浏览/下载：101/0  |  提交时间：2020/10/27
Canonical Polyadic Decomposition (Cpd)  Independent Component Analysis (Ica)  Multi-subject Fmri Data  Inter-subject Variability  Tensor Pica  Shift-invariant Cp (sCp)