Interpretable Alzheimer's Disease Classification Via a Contrastive Diffusion Autoencoder. - Ayodeji Ijishakin; Ahmed Abdulaal; Adamos Hadjivasiliou; Sophie Martin; James Cole (CoRR, 2023)

Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning. - Ahmed Abdulaal; Adamos Hadjivasiliou; Nina Montaña Brown; Tiantian He 002; Ayodeji Ijishakin; Ivana Drobnjak; Daniel C. Castro; Daniel C. Alexander (ICLR, 2024)

Semi-Supervised Diffusion Model for Brain Age Prediction. - Ayodeji Ijishakin; Sophie Martin; Florence Townend; Federica Agosta; Edoardo Gioele Spinelli; Silvia Basaia; Paride Schito; Yuri Falzone; Massimo Filippi; James Cole; Andrea Malaspina (CoRR, 2024)

Normative Diffusion Autoencoders: Application to Amyotrophic Lateral Sclerosis. - Ayodeji Ijishakin; Adamos Hadjivasiliou; Ahmed Abdulaal; Nina Montaña Brown; Florence Townend; Edoardo Gioele Spinelli; Massimo Fillipi; Federica Agosta; James Cole; Andrea Malaspina (CoRR, 2024)

Disentangled Diffusion Autoencoder for Harmonization of Multi-site Neuroimaging Data. - Ayodeji Ijishakin; Ana Lawry Aguila; Elizabeth Levitis; Ahmed Abdulaal; André Altmann; James Cole (CoRR, 2024)

An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation. - Ahmed Abdulaal; Hugo Fry; Nina Montaña Brown; Ayodeji Ijishakin; Jack Gao; Stephanie L. Hyland; Daniel C. Alexander; Daniel C. Castro (CoRR, 2024)