ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging
LGLudovica GriffantiGSGholamreza Salimi‐KhorshidiCFChristian F. BeckmannEJEdward J. AuerbachGDGwenaëlle Douaud
Don Carlo Gnocchi Foundation · Politecnico di Milano · +8 more institutions
Indexed incrossrefdoajpubmed
Abstract
No abstract available for this paper.
Citation impact
1,451
total citations
- FWCI
- 35.99
- Percentile
- 100%
- References
- 57
Citations per year
Authors
17- LGLudovica GriffantiCorresponding
Don Carlo Gnocchi Foundation, Politecnico di Milano, University of Oxford, Wellcome Centre for Integrative Neuroimaging
- GSGholamreza Salimi‐Khorshidi
Wellcome Centre for Integrative Neuroimaging, University of Oxford
- CFChristian F. Beckmann
Radboud University Nijmegen, University of Twente
- EJEdward J. Auerbach
Resonance Research (United States), University of Minnesota
- GDGwenaëlle Douaud
University of Oxford, Wellcome Centre for Integrative Neuroimaging
Topics & keywords
Topics
Keywords
- Independent component analysis
- Resting state fMRI
- Computer science
- Artificial intelligence
- Pattern recognition (psychology)
- Identification (biology)
- Computer vision
- Psychology
No related works found for this paper.
Funding
- NINational Institute for Health and Care Research
- UOUniversity of Oxford
- NINational Institutes of HealthAwards: 1U54MH091657, UK MRC G1001354, EB015894, 1U54MH091657-01 P30-NS057091 P41-RR08079/EB015894, 1U54MH091657-01, P30-NS057091, RR08079
- MRMedical Research CouncilAwards: G1001354, 1U54MH091657, MR/K006673/1
- EAEngineering and Physical Sciences Research CouncilAward: EP/J005444/1