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Doubly Semi-Supervised Multimodal Adversarial Learning for Classification, Generation and Retrieval 会议论文
, 上海, 2019/7/8
作者:  Du CD(杜长德);  Du CY(杜长营);  He HG（何晖光）
Adobe PDF(636Kb)  |  收藏  |  浏览/下载：109/38  |  提交时间：2023/05/05
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：277/85  |  提交时间：2020/06/13
Connectome-based predictive modeling  Gender difference  Individualized prediction  Intelligence quotient  Multimodal  
Preliminary prediction of individual response to electroconvulsive therapy using whole-brain functional magnetic resonance imaging data 期刊论文
NeuroImage: Clinical, 2019, 卷号: 26, 期号: 102080, 页码: 1-9
作者:  Sun, Hailun;  Jiang, Rongtao;  Qi, Shile;  Katherine, L., Narr;  Benjamin, SC, Wade;  Joel, Upston;  Randall, Espinoza;  Tom, Jones;  Vince, D., Calhoun;  Christopher, C, Abbott;  Sui, Jing
浏览  |  Adobe PDF(2890Kb)  |  收藏  |  浏览/下载：283/76  |  提交时间：2020/06/11
Individualized prediction  Electroconvulsive therapy (ECT)  Functional connectivity (FC)  Major depressive disorder (DEP)  Resting-state fMRI  HDRS  Treatment response  
Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 8, 页码: 2310-2323
作者:  Du, Changde;  Du, Changying;  Huang, Lijie;  He, Huiguang
Adobe PDF(3773Kb)  |  收藏  |  浏览/下载：360/46  |  提交时间：2019/12/16
Deep neural network (DNN)  image reconstruction  multiview learning  neural decoding  variational Bayesian inference  
Parallel group ICA plus ICA: Joint estimation of linked functional network variability and structural covariation with application to schizophrenia 期刊论文
HUMAN BRAIN MAPPING, 2019, 卷号: 40, 期号: 13, 页码: 3795-3809
作者:  Qi, Shile;  Sui, Jing;  Chen, Jiayu;  Liu, Jingyu;  Jiang, Rongtao;  Silva, Rogers;  Iraji, Armin;  Damaraju, Eswar;  Salman, Mustafa;  Lin, Dongdong;  Fu, Zening;  Zhi, Dongmei;  Turner, Jessica A.;  Bustillo, Juan;  Ford, Judith M.;  Mathalon, Daniel H.;  Voyvodic, James;  McEwen, Sarah;  Preda, Adrian;  Belger, Aysenil;  Potkin, Steven G.;  Mueller, Bryon A.;  Adali, Tulay;  Calhoun, Vince D.
Adobe PDF(6363Kb)  |  收藏  |  浏览/下载：385/0  |  提交时间：2019/12/16
group independent component analysis  multimodal fusion  parallel independent component analysis  schizophrenia  subjects' variability  temporal information  
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：429/69  |  提交时间：2019/12/16
Recurrent neural network (RNN)  Schizophrenia  Multi-site classification  fMRI  Striatum  Cerebellum  Deep learning  
Reconstruction of behavior-relevant individual brain activity: an individualized fMRI study 期刊论文
SCIENCE CHINA Life Sciences, 2019, 期号: 暂无, 页码: 暂无
作者:  Wu DY(吴东亚)
浏览  |  Adobe PDF(966Kb)  |  收藏  |  浏览/下载：288/73  |  提交时间：2019/06/19
Individual Difference, Brain Function, Behavior, Prediction, Fmri  
基于磁共振成像的个体化脑功能和行为预测研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
作者:  吴东亚
Adobe PDF(5920Kb)  |  收藏  |  浏览/下载：331/11  |  提交时间：2019/06/06
脑结构连接  脑功能  人类行为  个体化预测  磁共振成像  
Multi-Scale Expressions of One Optimal State Regulated by Dopamine in the Prefrontal Cortex 期刊论文
Frontiers in physiology, 2019, 卷号: 10, 期号: 113, 页码: 3389
作者:  Guyue Hu;  Xuhui Huang;  Tianzi Jiang;  Shan Yu
Adobe PDF(3183Kb)  |  收藏  |  浏览/下载：269/41  |  提交时间：2019/04/08
Optimal States  E/I Balance  Dopamine  The PFC  Working Memory  Criticality