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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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), Nat Hum Behav
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Alcohol consumption and telomere length: Mendelian randomization clarifies alcohol's effects.
Journal article
Topiwala A. et al, (2022), Mol 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 Med, 19
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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
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Causal inference on neuroimaging data with Mendelian randomisation.
Journal article
Taschler B. et al, (2022), Neuroimage, 258
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Graded Variation In T1w/T2w Ratio During Adolescence: Measurement, Caveats, and Implications for Development of Cortical Myelin.
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Baum GL. et al, (2022), J Neurosci
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Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging.
Journal article
Wang C. et al, (2022), Nat Neurosci, 25, 818 - 831
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Improved Interpretability of Brain-Behavior CCA With Domain-Driven Dimension Reduction.
Journal article
Liu Z. et al, (2022), Front Neurosci, 16
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Reliability of multi-site UK Biobank MRI brain phenotypes for the assessment of neuropsychiatric complications of SARS-CoV-2 infection: The COVID-CNS travelling heads study.
Journal article
Duff E. et al, (2022), PLoS One, 17