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Predicting Treatment Response in Schizophrenia With Magnetic Resonance Imaging and Polygenic Risk Score 期刊论文
FRONTIERS IN GENETICS, 2022, 卷号: 13, 页码: 11
作者:  Wang, Meng;  Hu, Ke;  Fan, Lingzhong;  Yan, Hao;  Li, Peng;  Jiang, Tianzi;  Liu, Bing
Adobe PDF(822Kb)  |  收藏  |  浏览/下载：355/111  |  提交时间：2022/06/06
schizophrenia  treatment prediction  XGBoost  polygenic risk score  magnetic resonance imaging  
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：370/62  |  提交时间：2020/08/03
Resting-state fMRI  Generative adversarial networks (GAN)  Deep learning  Classification  Major depressive disorders  Schizophrenia  
Prognostic models for prolonged disorders of consciousness: an integrative review 期刊论文
CELLULAR AND MOLECULAR LIFE SCIENCES, 2020, 期号: 8, 页码: 17
作者:  Song, Ming;  Yang, Yi;  Yang, Zhengyi;  Cui, Yue;  Yu, Shan;  He, Jianghong;  Jiang, Tianzi
Adobe PDF(2724Kb)  |  收藏  |  浏览/下载：337/50  |  提交时间：2020/06/22
Disorders of consciousness  Prognostic model  Outcome  Conscious recovery  Prediction  
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：399/65  |  提交时间：2019/12/16
Recurrent neural network (RNN)  Schizophrenia  Multi-site classification  fMRI  Striatum  Cerebellum  Deep learning