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Density-based clustering of static and dynamic functional MRI connectivity features obtained from subjects with cognitive impairment
Various machine-learning classification techniques have been employed previously to classify brain states in healthy and disease populations using functional magnetic resonance imaging (fMRI). These methods generally use supervised classifiers that are sensitive to outliers and require labeling of t...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691406/ https://www.ncbi.nlm.nih.gov/pubmed/33242116 http://dx.doi.org/10.1186/s40708-020-00120-2 |