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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Assessing the impact of COmorbidities and Sociodemographic factors on Multiorgan Injury following COVID-19: rationale and protocol design of COSMIC, a UK multicentre observational study of COVID-negative controls.
Shergill S. et al, (2025), BMJ Open, 15
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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
Gillis G. et al, (2025), Human Brain Mapping, 46
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A generative model for evaluating missing data methods in large epidemiological cohorts.
Radosavljević L. et al, (2025), BMC Med Res Methodol, 25
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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.
Wood GK. et al, (2024), Nat Med
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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
Gillis G. et al, (2024)
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Genome-wide analysis identifies 66 variants underlying anatomical variation in human neuroendocrine structures and reveals links to testosterone
Currant H. et al, (2024)
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Multiscale Modes of Functional Brain Connectivity.
Farahibozorg SR. et al, (2024), bioRxiv
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Structural correlations between brain magnetic resonance image-derived phenotypes and retinal neuroanatomy.
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.
Manuello J. et al, (2024), Nat Commun, 15
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MMORF—FSL’s MultiMOdal Registration Framework
Lange FJ. et al, (2024), Imaging Neuroscience, 2, 1 - 30