Low-Rank Tucker-2 Model for Multi-Subject fMRI Data Decomposition With Spatial Sparsity Constraint is a research paper published in IEEE Transactions on Medical Imaging (2021). On theSindex it has a DataRank of 0. It has been cited 29 times.
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National Natural Science Foundation of China
Grant: 61871067
National Natural Science Foundation of China
Grant: 61379012
National Natural Science Foundation of China
Grant: 61901061
National Natural Science Foundation of China
Grant: 61671106
National Natural Science Foundation of China
Grant: 61331019
National Natural Science Foundation of China
Grant: 81471742
National Science Foundation
Grant: 1539067
RII Track-2 FEC: Developmental Chronnecto-Genomics (Dev-CoG): A Next Generation Framework for Quantifying Brain Dynamics and Related Genetic Factors in Childhood
National Science Foundation
Grant: 0840895
Complex-Valued Signal Processing and its Application to Analysis of Brain Imaging Data
National Science Foundation
Grant: 0715022
Collaborative Research: SEI: Independent Component Analysis of Complex-Valued Brain Imaging Data
National Institutes of Health
Grant: R01MH104680
National Institutes of Health
Grant: R01MH107354
National Institutes of Health
Grant: R01EB005846
National Institutes of Health
Grant: 5P20GM103472
National Institutes of Health
Grant: R56MH124925
Fundamental Research Funds for the Central Universities, China
Grant: DUT20ZD220
NIMH NIH HHS
Grant: R01 MH118695
NIGMS NIH HHS
Grant: P20 GM103472
NIMH NIH HHS
Grant: R01 MH123610
National Institutes of Health
Grant: 5R01MH107354-03
Integration of fMRI imaging, genomics, network and biological knowledge
National Institutes of Health
Grant: 5R01MH104680-03
Integration of brain imaging with genomic and epigenomic data
National Institutes of Health
Grant: 2R01EB005846-05A1
Informed Data-Driven Fusion of Behavior, Brain Function, and Genes
National Institutes of Health
Grant: 4P20GM103472-09
Multimodal Imaging of Neuropsychiatric Disorders (MIND): Mechanisms &
National Institutes of Health
Grant: 5R56MH124925-02
Integration of brain imaging and multi-omics data for improved diagnosis and prediction of mental disorders
Supercomputing Center of Dalian University of Technology
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