Machine Learning

Reducing researcher bias by making pipeline selection in a data-driven manner

Predicting risk of dementia in adults with subjective or mild cognitive impairment using the brain-age paradigm.

Developing a framework for interpretable, explainable dementia prediction and validating existing methods.

Enhancing low-field MRI images using generative models, in particular diffusion models

Predicting disease progression in motor neurone disease

Using the UK Biobank to predict brain age from multiple modalities of MRI data, including structural, diffusion and functional scans.

Predicting risk of poor educational outcomes from MRI measurements of the brain during infancy and early childhood

Mapping individual differences in the neuroanatomy of dementia

Exploring the utility of brain age in a population-scale imaging dataset with linked health records.