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Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference
View ORCID ProfileVaanathi Sundaresan, View ORCID ProfileLudovica Griffanti, Petya Kindalova, View ORCID ProfileFidel Alfaro-Almagro, Giovanna Zamboni, Peter M. Rothwell, Thomas E. Nichols, View ORCID ProfileMark Jenkinson
doi: https://doi.org/10.1101/327205
Vaanathi Sundaresan
aOxford Centre for Functional MRI of Brain (FMRIB), Wellcome Centre for Integrative NeuroImaging, University of Oxford, UK
bOxford-Nottingham Centre for Doctoral Training in Biomedical Imaging, University of Oxford, UK
cOxford India Centre for Sustainable Development, Somerville College, University of Oxford, UK
Ludovica Griffanti
aOxford Centre for Functional MRI of Brain (FMRIB), Wellcome Centre for Integrative NeuroImaging, University of Oxford, UK
Petya Kindalova
eDepartment of Statistics, University of Oxford, UK
Fidel Alfaro-Almagro
aOxford Centre for Functional MRI of Brain (FMRIB), Wellcome Centre for Integrative NeuroImaging, University of Oxford, UK
Giovanna Zamboni
aOxford Centre for Functional MRI of Brain (FMRIB), Wellcome Centre for Integrative NeuroImaging, University of Oxford, UK
dCentre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
Peter M. Rothwell
dCentre for Prevention of Stroke and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
Thomas E. Nichols
aOxford Centre for Functional MRI of Brain (FMRIB), Wellcome Centre for Integrative NeuroImaging, University of Oxford, UK
fDepartment of Statistics, University of Warwick, UK
gBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, UK
Mark Jenkinson
aOxford Centre for Functional MRI of Brain (FMRIB), Wellcome Centre for Integrative NeuroImaging, University of Oxford, UK
Article usage
Posted May 21, 2018.
Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference
Vaanathi Sundaresan, Ludovica Griffanti, Petya Kindalova, Fidel Alfaro-Almagro, Giovanna Zamboni, Peter M. Rothwell, Thomas E. Nichols, Mark Jenkinson
bioRxiv 327205; doi: https://doi.org/10.1101/327205
Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference
Vaanathi Sundaresan, Ludovica Griffanti, Petya Kindalova, Fidel Alfaro-Almagro, Giovanna Zamboni, Peter M. Rothwell, Thomas E. Nichols, Mark Jenkinson
bioRxiv 327205; doi: https://doi.org/10.1101/327205
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