Publications

Investigating the Utility of Explainable Artificial Intelligence for Neuroimaging-Based Dementia Diagnosis and Prognosis

Sophie A Martin, An Zhao, Jiongqi Qu, Phoebe Imms, Andrei Irimia, Frederik Barkhof, James H Cole

Quantitative susceptibility mapping reveals differences between subtypes of Lewy body dementia

Rohan Bhome, James H Cole

Brain age prediction from MRI scans in neurodegenerative diseases

Anthi Papouli, James H Cole

Personalizing progressive changes to brain structure in Alzheimers disease using normative modeling

Brain Matters: Exploring Bias in AI for Neuroimaging Research

Sophie A Martin, Francesca Biondo, James H Cole, Beatrice Taylor

Interpretable Alzheimer’s Disease Classification Via a Contrastive Diffusion Autoencoder

Ayodeji Ijishakin, Ahmed Abdulaal, Adamos Hadjasavilou, Sophie A Martin, James H Cole

Revealing Individual Neuroanatomical Heterogeneity in Alzheimer Disease Using Neuroanatomical Normative Modeling

Serena Verdi, James H Cole

Interpretable deep learning for dementia: a systematic review

Sophie A Martin, Frederik Barkhof, James H Cole

Brain-age is associated with progression to dementia in memory clinic patients

Francesca Biondo, James H Cole

Thalamic white matter macrostructure and subnuclei volumes in Parkinson’s disease depression

Rohan Bhome, James H Cole

Beyond the average patient: how neuroimaging models can address heterogeneity in dementia

Serena Verdi, James H Cole

Nonlinear biomarker interactions in conversion from Mild Cognitive Impairment to Alzheimers disease

Multimodality neuroimaging brain-age in UK biobank: relationship to biomedical, lifestyle, and cognitive factors

Accurate brain‐age models for routine clinical MRI examinations