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Adaptive constrained independent vector analysis: An effective solution for analysis of large-scale medical imaging data
There is a growing need for flexible methods for the analysis of large-scale functional magnetic resonance imaging (fMRI) data for the estimation of global signatures that summarize the population while preserving individual-specific traits. Independent vector analysis (IVA) is a data-driven method...
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| Publicado en: | IEEE J Sel Top Signal Process |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7742772/ https://ncbi.nlm.nih.gov/pubmed/33343785 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/jstsp.2020.3003891 |
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