Title
Dual Temporal and Spatial Sparse Representation for Inferring Group-wise Brain Networks from Resting-state fMRI Dataset.
Abstract
Recently, sparse representation has been successfully used to identify brain networks from task-based fMRI dataset. However, when using the strategy to analyze resting-state fMRI dataset, it is still a challenge to automatically infer the group-wise brain networks under consideration of group commonalities and subject-specific characteristics. In the paper, a novel method based on dual temporal an...
Year
DOI
Venue
2018
10.1109/TBME.2017.2737785
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Time series analysis,Transmission line matrix methods,Dictionaries,Matrix decomposition,Couplings
Time series,Dictionary learning,Dynamic coupling,Computer science,Sparse approximation,Matrix decomposition,Information science,Resting state fMRI,Robustness (computer science),Artificial intelligence,Machine learning
Journal
Volume
Issue
ISSN
65
5
0018-9294
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Gong Junhui100.34
Xiao-Yan Liu22211.04
Tianming Liu31033112.95
Zhou Jiansong400.34
Gang Sun546336.98
Tian Juanxiu600.34