Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers
GSGholamreza Salimi‐KhorshidiGDGwenaëlle DouaudCFChristian F. BeckmannMFMatthew F. GlasserLGLudovica Griffanti
University of Oxford · Wellcome Centre for Integrative Neuroimaging · +5 more institutions
Indexed incrossrefdoajpubmed
Abstract
No abstract available for this paper.
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2,009
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- FWCI
- 95.48
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- 100%
- References
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Authors
6- GSGholamreza Salimi‐KhorshidiCorresponding
University of Oxford, Wellcome Centre for Integrative Neuroimaging
- GDGwenaëlle Douaud
University of Oxford, Wellcome Centre for Integrative Neuroimaging
- CFChristian F. Beckmann
Radboud University Nijmegen, University of Twente
- MFMatthew F. Glasser
Washington University in St. Louis
- LGLudovica Griffanti
University of Oxford, Wellcome Centre for Integrative Neuroimaging, Don Carlo Gnocchi Foundation, Politecnico di Milano
Topics & keywords
Topics
Keywords
- Independent component analysis
- Pattern recognition (psychology)
- Computer science
- Artificial intelligence
- Noise (video)
- Noise reduction
- Voxel
- Communication noise
UN Sustainable Development Goals
- Decent work and economic growth
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