article Open AccessTop 1% cited
Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers
NeuroImage · 2014 · Vol. 90 · pp. 449–468
Gholamreza Salimi‐Khorshidi✉(University of Oxford)Gwenaëlle Douaud(University of Oxford)Christian F. Beckmann(Radboud University Nijmegen)Matthew F. Glasser(Washington University in St. Louis)Ludovica Griffanti(University of Oxford)Stephen M. Smith(University of Oxford)
Blind Source Separation TechniquesFunctional Brain Connectivity StudiesNeural dynamics and brain functionIndependent component analysisPattern recognition (psychology)Computer scienceArtificial intelligenceNoise (video)Noise reductionVoxelCommunication noisePrincipal component analysisSet (abstract data type)
MeSH terms
AlgorithmsBrainBrain MappingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingArtifactsPrincipal Component Analysis
Funding
- National Institutes of Health
- Medical Research Council
Citations
1,996
FWCI
95.61
field-weighted impact
References
42
Percentile
100%
vs. same field & year
Citations per year
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