2 papers
eess.IV2025
Product of Gaussian Mixture Diffusion Model for non-linear MRI Inversion
Laurenz Nagler, Martin Zach, Thomas Pock
Diffusion models have recently shown remarkable results in magnetic resonance imaging reconstruction. However, the employed networks typically are black-box estimators of the (smoo…
eess.IV2025
Bigger Isn't Always Better: Towards a General Prior for Medical Image Reconstruction
Lukas Glaszner, Martin Zach
Diffusion model have been successfully applied to many inverse problems, including MRI and CT reconstruction. Researchers typically re-purpose models originally designed for uncond…