Gabriele Lozupone

AXIAL. This is a code implemention of the diagnosis and XAI framework proposed in the paper "Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans".

LDAE. Official PyTorch implementation of "Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging". LDAE is a novel unsupervised framework for 3D medical imaging that combines a latent diffusion model with semantic controls.

DiffusionModels-Theory2Code. This repository contains a comprehensive tutorial about diffusion models, bridging theoretical concepts with practical implementations in PyTorch. The project covers the progression of diffusion model techniques from basic DDPM to more advanced approaches like DDIM and guided diffusion.