Consecutive Independence and Correlation Transform for Multimodal Data Fusion: Discovery of One-to-Many Associations in Structural and Functional Imaging Data is a research paper published in Applied Sciences (2021). On theSindex it has a DataRank of 0.269. It has been cited 5 times.
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Base Score Contribution
0.269
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Science Foundation
Grant: 1618551
National Science Foundation
Grant: 1631838
National Institutes of Health
Grant: R01-MH118695
National Institutes of Health
Grant: R01-MH123610-01
National Institutes of Health
Grant: 1R01MH123610-01A1
Data-driven solutions for temporal, spatial, and spatiotemporal dynamic functional connectivity
National Institutes of Health
Grant: 3R01MH118695-03S1
Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood d
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