The minimal preprocessing pipelines for the Human Connectome Project
Washington University in St. Louis · University of Oxford · +10 more institutions
Indexed incrossrefdoajpubmed
Abstract
No abstract available for this paper.
Citation impact
5,849
total citations
- FWCI
- 82.82
- Percentile
- 100%
- References
- 66
Citations per year
Authors
12- MFMatthew F. GlasserCorresponding
Washington University in St. Louis
- SNStamatios N. Sotiropoulos
University of Oxford, Wellcome Centre for Integrative Neuroimaging
- JWJoshua Wilson
Mallinckrodt (United States)
- TSTimothy S. Coalson
Washington University in St. Louis
- BFBruce Fischl
Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts Institute of Technology
Topics & keywords
Topics
Keywords
- Computer science
- Preprocessor
- Human Connectome Project
- Pipeline transport
- Artifact (error)
- Data pre-processing
- Connectome
- Distortion (music)
UN Sustainable Development Goals
- Industry, innovation and infrastructure
No related works found for this paper.
Funding
- EMEllison Medical Foundation
- NINational Institutes of HealthAwards: 1U54MH091657-01, F30 MH097312, ROI MH-60974
- NINational Institute on AgingAwards: AG022381, 5R01AG008122-22
- NINational Institute of Neurological Disorders and StrokeAwards: 1R21NS072652-01, 1R01NS070963, R01 NS052585-01, 1S10RR023043, 1S10RR019307, 1S10RR023401
- NINational Institute of Biomedical Imaging and BioengineeringAward: R01EB006758
- NCNational Center for Research ResourcesAwards: P41-RR14075, BIRN002, U24 RR021382
- NBNIH Blueprint for Neuroscience ResearchAward: 5U01-MH093765