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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Structural and functional asymmetry of the neonatal cerebral cortex.
Journal article
Williams LZJ. et al, (2023), Nat Hum Behav
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Genetic architecture of brain age and its casual relations with brain and mental disorders
Preprint
Wang Y. et al, (2023)
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ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.
Journal article
Bass C. et al, (2022), IEEE Trans Med Imaging, PP
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Supervised Phenotype Discovery from Multimodal Brain Imaging.
Journal article
Gong W. et al, (2022), IEEE transactions on medical imaging, PP
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Challenges for machine learning in clinical translation of big data imaging studies
Journal article
Dinsdale NK. et al, (2022), Neuron
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Relationship between nuclei-specific amygdala connectivity and mental health dimensions in humans
Journal article
Klein-Flügge MC. et al, (2022), Nature Human Behaviour
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Adapting UK Biobank imaging for use in a routine memory clinic setting: the Oxford Brain Health Clinic
Preprint
Griffanti L. et al, (2022)
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Alcohol consumption and telomere length: Mendelian randomization clarifies alcohol’s effects
Journal article
Topiwala A. et al, (2022), Molecular Psychiatry
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Associations between moderate alcohol consumption, brain iron, and cognition in UK Biobank participants: Observational and mendelian randomization analyses
Journal article
Topiwala A. et al, (2022), PLOS Medicine, 19, e1004039 - e1004039
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Accurate predictions of individual differences in task-evoked brain activity from resting-state fMRI using a sparse ensemble learner.
Journal article
Zheng Y-Q. et al, (2022), Neuroimage