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An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data 期刊论文
Medical Image Analysis, 2022, 页码: 102413
作者:  Miin Zhao;  Weizheng Yan;  Na Luo;  Dongmei Zhi;  Zening Fu;  Yuhui Du;  Shan Yu;  Tianzi Jiang;  Vince D. Calhoun;  Jing Sui
Adobe PDF(3010Kb)  |  收藏  |  浏览/下载：59/25  |  提交时间：2024/06/17
Multimodal Fusion of Brain Imaging Data: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 136-152
作者:  Na Luo;  Weiyang Shi;  Zhengyi Yang;  Ming Song;  Tianzi Jiang
Adobe PDF(1726Kb)  |  收藏  |  浏览/下载：84/23  |  提交时间：2024/04/23
Multimodal fusion, supervised learning, unsupervised learning, brain atlas, cognition, brain disorders  
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：461/68  |  提交时间：2020/08/03
Resting-state fMRI  Generative adversarial networks (GAN)  Deep learning  Classification  Major depressive disorders  Schizophrenia  
Multimodal data revealed different neurobiological correlates of intelligence between males and females 期刊论文
BRAIN IMAGING AND BEHAVIOR, 2019, 卷号: 14, 期号: NA, 页码: 1-15
作者:  Jiang, Rongtao;  Calhoun, Vince D.;  Cui, Yue;  Qi, Shile;  Zhuo, Chuanjun;  Li, Jin;  Jung, Rex;  Yang, Jian;  Du, Yuhui;  Jiang, Tianzi;  Sui, Jing
浏览  |  Adobe PDF(3381Kb)  |  收藏  |  浏览/下载：290/89  |  提交时间：2020/06/13
Connectome-based predictive modeling  Gender difference  Individualized prediction  Intelligence quotient  Multimodal  
Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data 期刊论文
EBIOMEDICINE, 2019, 卷号: 47, 页码: 543-552
作者:  Yan, Weizheng;  Calhoun, Vince;  Song, Ming;  Cui, Yue;  Yan, Hao;  Liu, Shengfeng;  Fan, Lingzhong;  Zuo, Nianming;  Yang, Zhengyi;  Xu, Kaibin;  Yan, Jun;  Lv, Luxian;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi;  Sui, Jing
Adobe PDF(2166Kb)  |  收藏  |  浏览/下载：448/74  |  提交时间：2019/12/16
Recurrent neural network (RNN)  Schizophrenia  Multi-site classification  fMRI  Striatum  Cerebellum  Deep learning  
A Schizophrenia-Related Genetic-Brain-Cognition Pathway Revealed in a Large Chinese Population 期刊论文
EBIOMEDICINE, 2018, 卷号: 37, 期号: 2018, 页码: 471-482
作者:  Luo, Na;  Sui, Jing;  Chen, Jiayu;  Zhang, Fuquan;  Tian, Lin;  Lin, Dongdong;  Song, Ming;  Calhoun, Vince D.;  Cui, Yue;  Vergara, Victor M.;  Zheng, Fanfan;  Liu, Jingyu;  Yang, Zhenyi;  Zuo, Nianming;  Fan, Lingzhong;  Xu, Kaibin;  Liu, Shengfeng;  Li, Jian;  Xu, Yong;  Liu, Sha;  Lv, Luxian;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Yan, Hao;  Yan, Jun;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi
浏览  |  Adobe PDF(3297Kb)  |  收藏  |  浏览/下载：496/96  |  提交时间：2019/07/12
Schizophrenia  Multimodal fusion  Genetic-brain-cognition pathway  Working memory  Mediation analysis  
Connectome-based individualized prediction of temperament trait scores 期刊论文
NEUROIMAGE, 2018, 卷号: 183, 期号: NA, 页码: 366-374
作者:  Jiang, Rongtao;  Calhoun, Vince D.;  Zuo, Nianming;  Lin, Dongdong;  Li, Jin;  Fan, Lingzhong;  Qi, Shile;  Sun, Hailun;  Fu, Zening;  Song, Ming;  Jiang, Tianzi;  Sui, Jing
Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：551/107  |  提交时间：2019/01/08
Individualized prediction  Temperament traits  Functional connectivity  Reward processing  Temperament and character inventory (TCI)  
A review of EEG and MEG for brainnetome research 期刊论文
COGNITIVE NEURODYNAMICS, 2014, 卷号: 8, 期号: 2, 页码: 87-98
作者:  Zhang, Xin;  Lei, Xu;  Wu, Ting;  Jiang, Tianzi;  Tianzi Jiang
浏览  |  Adobe PDF(391Kb)  |  收藏  |  浏览/下载：310/56  |  提交时间：2015/08/12
Eeg  Meg  Brainnetome  Brain Network