ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data
Radboud University Nijmegen · Radboud University Medical Center · +6 more institutions
Indexed incrossrefdoajpubmed
Abstract
No abstract available for this paper.
Citation impact
1,845
total citations
- FWCI
- 40.45
- Percentile
- 100%
- References
- 60
Citations per year
Authors
6- RPRaimon PruimCorresponding
Radboud University Nijmegen, Radboud University Medical Center
- MMMaarten Mennes
Radboud University Nijmegen, Radboud University Medical Center
- DVDaan van Rooij
University Medical Center Groningen, Radboud University Nijmegen, University of Groningen
- ALAlberto Llera
Radboud University Nijmegen
- JKJan K. Buitelaar
Radboud University Nijmegen, Radboud University Medical Center, Dutch Expert Centre for Screening, Karakter
Topics & keywords
Topics
Keywords
- Artificial intelligence
- Independent component analysis
- Computer science
- Pattern recognition (psychology)
- Robustness (evolution)
- Spurious relationship
- Computer vision
- Machine learning
UN Sustainable Development Goals
- Peace, Justice and strong institutions
No related works found for this paper.
Funding
- WTWellcome TrustAwards: 433-09-242, 098369/Z/12/Z, 098369, FP7/2007-2013
- ECEuropean CommissionAwards: EU FP7, FP7/2007-2013, 278948, 2007-2013, FP7/2007, 327340
- ZZonMwAwards: 60-60600-97-193, 056-13-015, 433-09-242
- RURadboud Universiteit
- VUVrije Universiteit AmsterdamAwards: 433-09-242, FP7/2007-2013, 278948, 056-13-015
- NONederlandse Organisatie voor Wetenschappelijk OnderzoekAwards: 864-12-003, 433-09-242, 1750102007010, NWO-Vidi 864-12-003, NWO-Vidi 864-12, 056-13-015, FP7/2007-2013, 60-60600-97-193
- AAccare
- UMUniversitair Medisch Centrum Groningen
- RURadboud Universitair Medisch Centrum