Neuroimaging

Investigating the Utility of Explainable Artificial Intelligence for Neuroimaging-Based Dementia Diagnosis and Prognosis
Artificial intelligence and neuroimaging enable accurate dementia prediction but often involve ‘black box’ models that can …
Cite Project DOI
Investigating the Utility of Explainable Artificial Intelligence for Neuroimaging-Based Dementia Diagnosis and Prognosis
Thalamic white matter macrostructure and subnuclei volumes in Parkinson’s disease depression
‘Thalamic changes in Parkinson’s disease depression’
PDF Cite DOI
Interpretable Dementia Prediction
Developing a framework for interpretable, explainable dementia prediction and validating existing methods.
Interpretable Dementia Prediction
Low-field MRI
Enhancing low-field MRI images using generative models, in particular diffusion models
Low-field MRI
Motor Neurone Disease
Predicting disease progression in motor neurone disease
Motor Neurone Disease
Multimodal Brain Age
Using the UK Biobank to predict brain age from multiple modalities of MRI data, including structural, diffusion and functional scans.
Multimodal Brain Age
Normative Modelling
Mapping individual differences in the neuroanatomy of dementia
Normative Modelling
Scottish Medical Imaging Archive
Exploring the utility of brain age in a population-scale imaging dataset with linked health records.
Scottish Medical Imaging Archive