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...
| Publicado en: | Artificial Intelligence in Medicine Vol. 111 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Elsevier B.V.
Jan2021
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| Acceso en línea: | Ver este registro en EBSCOhost |