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面向精神疾病分类诊断的磁共振影像机器学习算法研究 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, 2021
作者:  姚东任
Adobe PDF(10847Kb)  |  收藏  |  浏览/下载：241/7  |  提交时间：2021/06/17
脑影像  连接网路  特征选择  图卷积  
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：359/66  |  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  
Pairwise interactions in gene expression determine a hierarchical transcriptional profile in the human brain 期刊论文
Science Bulletin, 2021, 卷号: 66, 期号: 无, 页码: 无
作者:  Hua, Jiaojiao;  Yang, Zhengyi;  Jiang, Tianzi;  Yu, Shan
Adobe PDF(3690Kb)  |  收藏  |  浏览/下载：201/46  |  提交时间：2021/06/17
Gene-gene interaction  Co-expression  Structural networkFunctional network  Functional network  Higher-order interactions  
Joint Learning in the Spatio-Temporal and Frequency Domains for Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 9, 页码: 2207-2220
作者:  Guyue, Hu;  Bo, Cui;  Shan, Yu
Adobe PDF(4803Kb)  |  收藏  |  浏览/下载：266/53  |  提交时间：2020/09/28
Skeleton-based Action Recognition  Frequency Attention  Synchronous Local and Non-local Learning  Soft-margin Focal Loss  Pesudo Multi-task Learning  
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 8, 页码: 2241-2252
作者:  Wang, Mingliang;  Lian, Chunfeng;  Yao, Dongren;  Zhang, Daoqiang;  Liu, Mingxia;  Shen, Dinggang
Adobe PDF(5624Kb)  |  收藏  |  浏览/下载：251/52  |  提交时间：2020/08/24
Spatial-temporal dependency  neural network  Alzheimer's disease  hub detection  resting-state functional MRI  
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：334/67  |  提交时间：2020/04/07
ADHD  Functional Connectivity  Feature Selection  
An Analysis of CNN Feature Extractor Based on KL Divergence 期刊论文
International Journal of Image and Graphics, 2018, 卷号: 18, 期号: 3, 页码: 00552
作者:  Zhang Jinpeng;  Zhang Jinming
浏览  |  Adobe PDF(9099Kb)  |  收藏  |  浏览/下载：172/51  |  提交时间：2019/12/31
CNN  feature extractor  KL divergence  neural networks  
Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. 期刊论文
IEEE Trans Med Imaging., 2018, 卷号: 37(1), 期号: 201801, 页码: 93-105
作者:  Shile Qi;  Vince D. Calhoun;  Theo G. M. van Erp;  Juan Bustillo;  Eswar Damaraju;  Jessica A. Turner;  Yuhui Du;  Jiayu Chen;  Qingbao Yu;  Daniel H. Mathalon;  Judith M. Ford;  James Voyvodic;  Bryon A. Mueller;  Aysenil Belger;  Sarah Mc Ewen;  Steven G. Potkin;  Steven G. Potkin;  Tianzi Jiang;  Sui Jing(隋婧)
浏览  |  Adobe PDF(1484Kb)  |  收藏  |  浏览/下载：481/127  |  提交时间：2018/01/08
Multimodal Fusion With Reference  Mccar  Supervised Learning  Schizophrenia  Working Memory  Ica  Mccb  Cminds  
Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI Data 期刊论文
FRONTIERS IN NEUROSCIENCE, 2017, 卷号: 11, 期号: 2017-5-19, 页码: 267
作者:  Du, Yuhui;  Lin, Dongdong;  Yu, Qingbao;  Sui, Jing;  Chen, Jiayu;  Rachakonda, Srinivas;  Adali, Tulay;  Calhoun, Vince D.;  Yuhui Du
浏览  |  Adobe PDF(10014Kb)  |  收藏  |  浏览/下载：291/61  |  提交时间：2018/01/08
Functional Magnetic Resonance Imaging (Fmri)  Brain Functional Networks  Independent Component Analysis (Ica)  Group Information Guided Ica (gig-Ica)  Independent Vector Analysis (Iva)  
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：427/105  |  提交时间：2017/02/14
Neuroimaging  Machine Learning  Classification  Brain Disorders  Prediction