咨询与建议

限定检索结果

文献类型

  • 153 篇 会议
  • 95 篇 期刊文献

馆藏范围

  • 248 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 63 篇 医学
    • 53 篇 临床医学
    • 31 篇 基础医学(可授医学...
    • 11 篇 药学(可授医学、理...
    • 10 篇 特种医学
    • 8 篇 公共卫生与预防医...
    • 4 篇 医学技术(可授医学...
  • 49 篇 理学
    • 37 篇 生物学
    • 12 篇 数学
    • 10 篇 物理学
    • 5 篇 统计学(可授理学、...
    • 4 篇 化学
    • 1 篇 系统科学
  • 48 篇 工学
    • 31 篇 生物医学工程(可授...
    • 25 篇 光学工程
    • 23 篇 计算机科学与技术...
    • 23 篇 软件工程
    • 15 篇 生物工程
    • 8 篇 信息与通信工程
    • 7 篇 电气工程
    • 6 篇 电子科学与技术(可...
    • 4 篇 控制科学与工程
    • 3 篇 机械工程
    • 2 篇 交通运输工程
  • 15 篇 管理学
    • 5 篇 管理科学与工程(可...
    • 5 篇 公共管理
    • 5 篇 图书情报与档案管...
    • 3 篇 工商管理
  • 5 篇 农学
    • 3 篇 作物学
  • 3 篇 教育学
    • 3 篇 心理学(可授教育学...
  • 1 篇 经济学
    • 1 篇 应用经济学

主题

  • 47 篇 functional magne...
  • 30 篇 brain modeling
  • 26 篇 neuroimaging
  • 20 篇 biomedical imagi...
  • 19 篇 independent comp...
  • 17 篇 magnetic resonan...
  • 16 篇 feature extracti...
  • 16 篇 correlation
  • 15 篇 deep learning
  • 15 篇 schizophrenia
  • 13 篇 engineering in m...
  • 13 篇 predictive model...
  • 13 篇 visualization
  • 13 篇 data models
  • 12 篇 electroencephalo...
  • 11 篇 biomarkers
  • 11 篇 signal processin...
  • 10 篇 couplings
  • 10 篇 biological syste...
  • 10 篇 accuracy

机构

  • 25 篇 tri-institutiona...
  • 21 篇 tri-institutiona...
  • 12 篇 georgia state un...
  • 10 篇 tri-institutiona...
  • 9 篇 department of co...
  • 9 篇 department of co...
  • 7 篇 tri-institutiona...
  • 6 篇 georgia state un...
  • 6 篇 emory university...
  • 6 篇 tri-institutiona...
  • 6 篇 school of comput...
  • 6 篇 tri-institutiona...
  • 6 篇 school of electr...
  • 5 篇 tri-institutiona...
  • 5 篇 massachusetts ge...
  • 5 篇 department of ps...
  • 5 篇 school of electr...
  • 5 篇 tri-institutiona...
  • 5 篇 tri-institutiona...
  • 5 篇 school of inform...

作者

  • 96 篇 vince d. calhoun
  • 30 篇 armin iraji
  • 26 篇 calhoun vince d.
  • 23 篇 vince d calhoun
  • 20 篇 vince calhoun
  • 19 篇 zening fu
  • 18 篇 robyn l. miller
  • 14 篇 jingyu liu
  • 13 篇 charles a. ellis
  • 11 篇 anees abrol
  • 10 篇 tülay adali
  • 8 篇 jing sui
  • 8 篇 shile qi
  • 8 篇 rongtao jiang
  • 8 篇 bishal thapaliya
  • 8 篇 mohammad s.e. se...
  • 7 篇 thompson paul m.
  • 7 篇 elaheh zendehrou...
  • 7 篇 ashkan faghiri
  • 7 篇 tulay adali

语言

  • 245 篇 英文
  • 3 篇 其他
检索条件"机构=Center for Translational Research in Neuroimaging and Data Science: Georgia State University"
248 条 记 录,以下是1-10 订阅
排序:
Multi-Modal Imaging Genomics Transformer: Attentive Integration of Imaging with Genomic Biomarkers for Schizophrenia Classification
Multi-Modal Imaging Genomics Transformer: Attentive Integrat...
收藏 引用
IEEE International Symposium on Biomedical Imaging
作者: Nagur Shareef Shaik Teja Krishna Cherukuri Vince Calhoun Dong Hye Ye Department of Computer Science Georgia State University Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State Georgia Tech Emory
Schizophrenia (SZ) is a severe brain disorder marked by diverse cognitive impairments, abnormalities in brain structure, function, and genetic factors. Its complex symptoms and overlap with other psychiatric condition... 详细信息
来源: 评论
Dynamic Fusion: Merging Structural and Functional Connectivity Dynamics Via Joint CMICA
Dynamic Fusion: Merging Structural and Functional Connectivi...
收藏 引用
IEEE International Symposium on Biomedical Imaging
作者: Lei Wu Marlena Duda Armin Iraji Vince D. Calhoun Tri-institutional center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University Georgia Institute of Technology Emory University Atlanta Georgia
This study introduces ‘dynamic fusion’, a novel framework that bridges structural and functional connectivity in the context of dynamic reconfiguration, to illustrate how brain networks adapt over time. By combining... 详细信息
来源: 评论
Dynamic Convergence of Multiple Overlapping Brain states as a Biomarker for Mental Disorders
Dynamic Convergence of Multiple Overlapping Brain States as ...
收藏 引用
IEEE International Symposium on Biomedical Imaging
作者: Najme Soleimani Vince D. Calhoun Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University Georgia Institute of Technology and Emory University Atlanta GA
Exploring the biomarkers linked to various psychiatric disorders is essential for improving diagnostic accuracy and monitoring disease progression. Recent developments in neuroimaging techniques have shifted the empha... 详细信息
来源: 评论
Correlation of Correlation Networks: High-Order Interactions in the Topology of Brain Networks
Correlation of Correlation Networks: High-Order Interactions...
收藏 引用
IEEE International Symposium on Biomedical Imaging
作者: Qiang Li Jingyu Liu Vince D. Calhoun Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State Georgia Tech and Emory University Atlanta GA United States
To understand collective network behavior in the complex human brain, pairwise correlation networks alone are insufficient for capturing the high-order interactions that extend beyond pairwise interactions and play a ... 详细信息
来源: 评论
[18F]Florbetapir Pet Uptake Differences in White Matter Across the Alzheimer's Disease Continuum: From Cognitively Normal to MCI and Dementia
[18F]Florbetapir Pet Uptake Differences in White Matter Acro...
收藏 引用
IEEE International Symposium on Biomedical Imaging
作者: Nigar Khasayeva Kyle M. Jensen Cyrus Eierud Helen Petropoulos Vince D. Calhoun Armin Iraji Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University Georgia Institute of Technology and Emory University Atlanta GA USA
Alzheimer's disease (AD) is widely recognized for hallmark gray matter (GM) changes, including extracellular amyloid plaques and neurofibrillary tangles. However, recent neuroimaging research suggests that white m... 详细信息
来源: 评论
Sex Differences in Coupled Dynamic Functional Connectivity and Structural Brain Morphology: Insights from the ABCD Study
Sex Differences in Coupled Dynamic Functional Connectivity a...
收藏 引用
IEEE International Symposium on Biomedical Imaging
作者: Aline Kotoski Sir-Lord Wiafe Vince Calhoun Tri-Institutional Center for Translational Research in Neuroimaging and Data Science Atlanta USA Neuroscience Institute Georgia State University Atlanta USA Department of Computer Science Georgia State University Atlanta USA
This study investigates sex-based differences in brain structure-function coupling using a novel dynamic intermodality source coupling (dIMSC) method, which we use to integrate dynamic functional network connectivity ... 详细信息
来源: 评论
Genetics Encoded Joint Embedding of Multimodal Connectomes with Explainable Graph Neural Network for Schizophrenia Classification
Genetics Encoded Joint Embedding of Multimodal Connectomes w...
收藏 引用
IEEE International Symposium on Biomedical Imaging
作者: Badhan Mazumder Lei Wu Vince D. Calhoun Dong Hye Ye Department of Computer Science Georgia State University Atlanta GA USA Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University Georgia Institute of Technology and Emory University Atlanta GA USA
Investigating structural and functional brain connectivity is crucial for understanding neuropsychiatric disorders like schizophrenia (SZ), where genetic markers such as SNPs (single nucleotide polymorphisms) also pla... 详细信息
来源: 评论
The Dynamics of Triple Interactions in Resting FMRI: Insights Into Psychotic Disorders
The Dynamics of Triple Interactions in Resting FMRI: Insight...
收藏 引用
IEEE International Symposium on Biomedical Imaging
作者: Qiang Li Vince D. Calhoun Shiva Mirzaeian Armin Iraji Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State Georgia Tech and Emory University Atlanta GA United States Department of Computer Science Georgia State University Atlanta GA United States
The human brain dynamically integrated and configured information to adapt to the environment. To capture these changes over time, dynamic second-order functional connectivity was typically used to capture transient b... 详细信息
来源: 评论
SELF-Clustering Graph Transformer Approach to Model Resting state Functional Brain Activity
SELF-Clustering Graph Transformer Approach to Model Resting ...
收藏 引用
IEEE International Symposium on Biomedical Imaging
作者: Bishal Thapaliya Esra Akbas Ram Sapkota Bhaskar Ray Vince Calhoun Jingyu Liu Department of Computer Science Georgia State University Atlanta USA Tri-Institutional Center for Translational Research in Neuroimaging and Data Science School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta USA
Resting-state functional magnetic resonance imaging (rs-fMRI) offers valuable insights into the human brain's functional organization and is a powerful tool for investigating the relationship between brain functio... 详细信息
来源: 评论
Adaptive Constrained ICA with Mixing Matrix Column Constraints: Application to fMRI data
Adaptive Constrained ICA with Mixing Matrix Column Constrain...
收藏 引用
Annual Conference on Information sciences and Systems (CISS)
作者: Chunying Jia Weixin Wang Trung Vu Hanlu Yang Ben Gabrielson Vince D. Calhoun Tülay Adali University of Maryland Baltimore County Baltimore MD Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University Georgia Institute of Technology Emory University Atlanta GA USA
Independent Component Analysis (ICA) is a powerful data-driven method that has been widely applied in functional magnetic resonance imaging (fMRI) data analysis to uncover underlying sources. An attractive way to boos... 详细信息
来源: 评论