articleTop 1% cited
ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data
NeuroImage · 2015 · Vol. 112 · pp. 267–277
Raimon Pruim✉(Radboud University Nijmegen)Maarten Mennes(Radboud University Nijmegen)Daan van Rooij(University Medical Center Groningen)Alberto Llera(Radboud University Nijmegen)Jan K. Buitelaar(Radboud University Nijmegen)Christian F. Beckmann(Radboud University Nijmegen)
Functional Brain Connectivity StudiesAdvanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and ApplicationsArtificial intelligenceIndependent component analysisComputer sciencePattern recognition (psychology)Robustness (evolution)Spurious relationshipComputer visionMachine learning
MeSH terms
AlgorithmsArtificial IntelligenceCerebrospinal FluidHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMotionRestReproducibility of ResultsArtifactsPrincipal Component Analysis
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References
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NeuroImage · 2013 · 4,007 citations
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NeuroImage · 2011 · 7,749 citations
Consistent resting-state networks across healthy subjects
Proceedings of the National Academy of Sciences · 2006 · 4,381 citations
Movement‐Related effects in fMRI time‐series
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NeuroImage · 2004 · 13,980 citations
An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data
NeuroImage · 2012 · 2,015 citations
Analysis of fMRI data by blind separation into independent spatial components
Human Brain Mapping · 1998 · 1,916 citations
Accurate and robust brain image alignment using boundary-based registration
NeuroImage · 2009 · 3,934 citations
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