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20172026
most citedLearning a Variational Network for Reconstruction of Accelerated MRI Data

26 citations · 49 across the 11 of their papers we have counts for

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5 papers · 1 filter

eess.IV2023

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…

eess.IV2023

Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs

Thomas Pinetz, Erich Kobler, Robert Haase +3

Today Gadolinium-based contrast agents (GBCA) are indispensable in Magnetic Resonance Imaging (MRI) for diagnosing various diseases. However, GBCAs are expensive and may accumulate…

eess.IV2022★ 1 cited

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…

eess.IV2021★ 1 cited

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,…

eess.IV2020

Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study

Elena A. Kaye, Emily A. Aherne, Cihan Duzgol +8

Purpose: To investigate feasibility of accelerating prostate diffusion-weighted imaging (DWI) by reducing the number of acquired averages and denoising the resulting image using a…