3 papers
eess.IV2026
Scale-Cascaded Diffusion Models for Super-Resolution in Medical Imaging
Darshan Thaker, Mahmoud Mostapha, Radu Miron +2
Diffusion models have been increasingly used as strong generative priors for solving inverse problems such as super-resolution in medical imaging. However, these approaches typical…
eess.IV2025
Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images
Saikat Roy, Mahmoud Mostapha, Radu Miron +2
Plug-and-play approaches to solving inverse problems such as restoration and super-resolution have recently benefited from Diffusion-based generative priors for natural as well as…
eess.IV2024
Benchmarking 3D multi-coil NC-PDNet MRI reconstruction
Asma Tanabene, Chaithya Giliyar Radhakrishna, Aurélien Massire +2
Deep learning has shown great promise for MRI reconstruction from undersampled data, yet there is a lack of research on validating its performance in 3D parallel imaging acquisitio…