机构

• 自动化研究所 [11]
• 心理研究所 [5]

采集方式

• OAI收割 [16]

内容类型

• 期刊论文 [14]
• 会议论文 [1]
• 学位论文 [1]

发表日期

• 2023 [2]
• 2022 [1]
• 2021 [1]
• 2020 [4]
• 2019 [3]
• 2018 [3]
• 更多

学科主题

筛选

浏览/检索结果: 共16条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 The Individualized Prediction of Neurocognitive Function in People Living with HIV Based on Clinical and Multimodal Connectome Data 期刊论文  OAI收割 IEEE Journal of Biomedical and Health Informatics, 2023, 卷号: 27, 期号: 4, 页码: 2094 - 2104 作者:  Li Xaing;  Towe Sheri;  Bell Ryan;  Jiang Rongtao;  Hall Shana   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/05/16 ICA-based Individualized Differential Structure Similarity Networks for Predicting Symptom Scores in Adolescents with Major Depressive Disorder 会议论文  OAI收割 ICC Sydney, Australia, July 24-27, 2023 作者:  Li Xiang;  Xu Ming;  Jiang Rongtao;  Li Xuemei;  Calhoun Vince   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/05/16 Deep residual contextual and subpixel convolution network for automated neuronal structure segmentation in micro-connectomics 期刊论文  OAI收割 Computer Methods and Programs in Biomedicine, 2022, 卷号: 219, 页码: 106759 作者:  Xiao, Chi;  Hong, Bei;  Liu, Jing;  Tang, Yuanyan;  Xie, Qiwei   |  收藏  |  浏览/下载：23/0  |  提交时间：2023/01/12 Deep learning  Neuronal structure segmentation  Subpixel convolution  Electron microscopy  Micro-Connectomics   Data-driven approaches to neuroimaging biomarkers for neurological and psychiatric disorders: emerging approaches and examples 期刊论文  OAI收割 CURRENT OPINION IN NEUROLOGY, 2021, 卷号: 34, 期号: 4, 页码: 469-479 作者:  Calhoun, Vince D.   |  收藏  |  浏览/下载：30/0  |  提交时间：2021/08/15 data driven  data fusion  dynamics  multimodal  neuroimaging biomarkers   Prediction of trust propensity from intrinsic brain morphology and functional connectome 期刊论文  OAI收割 HUMAN BRAIN MAPPING, 2020, 页码: 17 作者:  Feng, Chunliang;  Zhu, Zhiyuan;  Cui, Zaixu;  Ushakov, Vadim;  Dreher, Jean-Claude   |  收藏  |  浏览/下载：47/0  |  提交时间：2020/11/30 functional decoding  gray matter  individualized prediction  large-scale brain networks  trust propensity   Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships 期刊论文  OAI收割 NEUROIMAGE, 2020, 卷号: 207, 页码: 11 作者:  Jiang, Rongtao;  Zuo, Nianming;  Ford, Judith M.;  Qi, Shile;  Zhi, Dongmei   |  收藏  |  浏览/下载：33/0  |  提交时间：2020/03/30 Individualized prediction  Reading comprehension  Task state  Functional connectivity  Cognitive demand   Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises 期刊论文  OAI收割 BIOLOGICAL PSYCHIATRY, 2020, 期号: NA, 页码: 1-11 作者:  Sui, Jing;  Jiang, Rongtao;  Bustillo, Juan;  Calhoun, Vince D.   |  收藏  |  浏览/下载：11/0  |  提交时间：2020/06/13 Biomarker  Cognition  Individualized prediction  Mental disorder  Multivariate analyses  Regression   Gender Differences in Connectome-based Predictions of Individualized Intelligence Quotient and Sub-domain Scores 期刊论文  OAI收割 CEREBRAL CORTEX, 2020, 卷号: 30, 期号: 3, 页码: 888-900 作者:  Jiang, Rongtao;  Calhoun, Vince D.;  Fan, Lingzhong;  Zuo, Nianming;  Jung, Rex   |  收藏  |  浏览/下载：39/0  |  提交时间：2020/06/13 Connectome-based prediction  Functional connectivity  Gender difference  Individualized prediction  Intelligence   Preliminary prediction of individual response to electroconvulsive therapy using whole-brain functional magnetic resonance imaging data 期刊论文  OAI收割 NeuroImage: Clinical, 2019, 卷号: 26, 期号: 102080, 页码: 1-9 作者:  Hailun, Sun;  Rongtao, Jiang;  Shile, Qi;  Katherine, L., Narr;  Benjamin, SC, Wade   |  收藏  |  浏览/下载：13/0  |  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   Prediction of Conversion From Amnestic Mild Cognitive Impairment to Alzheimer's Disease Based on the Brain Structural Connectome 期刊论文  OAI收割 FRONTIERS IN NEUROLOGY, 2019, 卷号: 9, 页码: 15 作者:     |  收藏  |  浏览/下载：86/0  |  提交时间：2019/03/01 Brain Network  Conversion  Diffusion Tensor Imaging  Graph Theory  Mild Cognitive Impairment  Machine Learning