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Disentangling time series between brain tissues improves fMRI data quality using a time-dependent deep neural network
Functional MRI (fMRI) is a prominent imaging technique to probe brain function, however, a substantial proportion of noise from multiple sources influences the reliability and reproducibility of fMRI data analysis and limits its clinical applications. Extensive effort has been devoted to improving f...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7792822/ https://www.ncbi.nlm.nih.gov/pubmed/32898682 http://dx.doi.org/10.1016/j.neuroimage.2020.117340 |