Predi PET-AD

Predi PET-AD aims to generate ‘PET-like’ images of molecular targets relevant to Alzheimer’s Disease (amyloid plaques, tau protein and metabolic activity) from multi-parametric MRI using AI, offering a way to reduce reliance on costly and hard-to-access PET imaging for diagnosis and clinical management. The project trains multi-targets vision transformer and diffusion models (ResViT, Brownian Bridge Diffusion) on large public cohorts (OASIS, ADNI, A4 — over 10,000 patients), validates the clinical value of the predicted imaging biomarkers, and investigates explainability techniques (Grad-CAM, LIME, SHAP) to support clinical adoption. I contribute my expertise in multi-targets AI models development.