Estimating sparse functional connectivity networks via hyperparameter-free learning model.
Functional connectivity networks (FCNs) provide a potential way for understanding the brain organizational patterns and diagnosing neurological diseases. Currently, researchers have proposed many methods for FCN construction, among which the most classic example is Pearson's correlation (PC). Despit...
| Published in: | Artificial Intelligence in Medicine Vol. 111 |
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| Main Authors: | , , , , , |
| Format: | equations & formulas research tables/charts Journal Article |
| Published: |
Elsevier B.V.
Jan2021
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| Online Access: | View this record in EBSCOhost |