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EXPLORING FUNCTIONAL CONNECTIVITY IN FMRI VIA CLUSTERING
In this paper we investigate the use of data driven clustering methods for functional connectivity analysis in fMRI. In particular, we consider the K-Means and Spectral Clustering algorithms as alternatives to the commonly used Seed-Based Analysis. To enable clustering of the entire brain volume, we...
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| Publicado no: | Proc IEEE Int Conf Acoust Speech Signal Process |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4449336/ https://ncbi.nlm.nih.gov/pubmed/26028993 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICASSP.2009.4959615 |
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