217 citations · 323 across the 13 of their papers we have counts for
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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…
Product of Gaussian Mixture Diffusion Models
Martin Zach, Erich Kobler, Antonin Chambolle +1
In this work we tackle the problem of estimating the density of a random variable by successive smoothing, such that the smoothed random variable fulfills the d…
Computed Tomography Reconstruction using Generative Energy-Based Priors
Martin Zach, Erich Kobler, Thomas Pock
In the past decades, Computed Tomography (CT) has established itself as one of the most important imaging techniques in medicine. Today, the applicability of CT is only limited by…
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction
Dominik Narnhofer, Alexander Effland, Erich Kobler +3
Recent deep learning approaches focus on improving quantitative scores of dedicated benchmarks, and therefore only reduce the observation-related (aleatoric) uncertainty. However,…