Speaker
Bence Dudás
(Eötvös Loránd University)
Description
FLORA: Flow-based Latent-informed Optimization for 3D proton-CT Reconstruction with Spatial Attention. A deep learning framework for conditioned image reconstruction developed for Proton Computed Tomography (pCT). The pipeline utilizes a Varriational Autoencoder-GAN approach to be able to learn biologically correct 3D CT reconstruction, while the latent Flow-matching enables us to condition in particle scattering.
Author
Bence Dudás
(Eötvös Loránd University)