Stephen Smith
Professor of Biomedical Engineering
Brain imaging for individuals and populations
I head the Analysis Group at the Wellcome Centre for Integrative Neuroimaging. We carry out research into new methodologies for the analysis of functional and structural brain imaging data. Our research is also turned into software tools that are available in the FSL package, which is free to all academic and non-profit institutions.
Other links
Recent publications
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From Big Data to the Clinic: Methodological and Statistical Enhancements to Implement the UK Biobank Imaging Framework in a Memory Clinic.
Journal article
Gillis G. et al, (2025), Hum Brain Mapp, 46
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A generative model for evaluating missing data methods in large epidemiological cohorts.
Journal article
Radosavljević L. et al, (2025), BMC Med Res Methodol, 25
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Internally consistent and fully unbiased multimodal MRI brain template construction from UK Biobank: Oxford-MM
Journal article
Arthofer C. et al, (2024), Imaging Neuroscience, 2, 1 - 27
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Posthospitalization COVID-19 cognitive deficits at 1 year are global and associated with elevated brain injury markers and gray matter volume reduction.
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Wood GK. et al, (2024), Nat Med
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Stacking models of brain dynamics to improve prediction of subject traits in fMRI.
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Griffin B. et al, (2024), Imaging Neurosci (Camb), 2, 1 - 22
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Multiscale Modes of Functional Brain Connectivity.
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Farahibozorg SR. et al, (2024), bioRxiv
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Structural correlations between brain magnetic resonance image-derived phenotypes and retinal neuroanatomy.
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Sun Z. et al, (2024), Eur J Neurol
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The effects of genetic and modifiable risk factors on brain regions vulnerable to ageing and disease.
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Manuello J. et al, (2024), Nat Commun, 15
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Neural correlates of cognitive ability and visuo-motor speed: Validation of IDoCT on UK Biobank Data
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Giunchiglia V. et al, (2024), Imaging Neuroscience, 2, 1 - 25
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Premorbid brain structure influences risk of amyotrophic lateral sclerosis.
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Thompson AG. et al, (2023), J Neurol Neurosurg Psychiatry