Zeyad Mahmoud presenting at Helmholtz Imaging Conference 2025

Zeyad Mahmoud’s abstract has been selected for an oral presentation at the Helmholtz Imaging Conference 2025. Zeyad presented his Master’s thesis research, titled “Unsupervised Temporal Diffusion-Based Interpolation for 4D CT”. In this study, he investigated the ability of deep generative models, specifically diffusion models, for interpolating temporal 4D chest CT scans. His work demonstrates how diffusion models can enable faster image acquisition and reduced radiation doses, while maintaining high temporal resolution, and therefore allow for precise dose planning for lung cancer patients.