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Fusing functional signals by sparse canonical correlation analysis improves network reproducibility
We contribute a novel multivariate strategy for computing the structure of functional networks in the brain from arterial spin labeling (ASL) MRI. Our method fuses and correlates multiple functional signals by employing an interpretable dimensionality reduction method, sparse canonical correlation a...
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Publicado no: | Med Image Comput Comput Assist Interv |
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Main Authors: | , , , , |
Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
2013
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Assuntos: | |
Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5640445/ https://ncbi.nlm.nih.gov/pubmed/24505815 |
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