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Picture for Erich Kobler

Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction


Feb 12, 2021
Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock

* 10 pages, 9 figures 

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Shared Prior Learning of Energy-Based Models for Image Reconstruction


Nov 13, 2020
Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland

* 37 pages, 19 figures 

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


Jun 30, 2020
Elena A. Kaye, Emily A. Aherne, Cihan Duzgol, Ida Häggström, Erich Kobler, Yousef Mazaheri, Maggie M Fung, Zhigang Zhang, Ricardo Otazo, Herbert A. Vargas, Oguz Akin

* This manuscript has been accepted for publication in Radiology: Artificial Intelligence (https://pubs.rsna.org/journal/ai), which is published by the Radiological Society of North America (RSNA) 

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Total Deep Variation: A Stable Regularizer for Inverse Problems


Jun 15, 2020
Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock

* 30 pages, 12 figures. arXiv admin note: text overlap with arXiv:2001.05005 

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Total Deep Variation for Linear Inverse Problems


Feb 17, 2020
Erich Kobler, Alexander Effland, Karl Kunisch, Thomas Pock

* 21 pages, 10 figures 

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An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration


Jul 19, 2019
Alexander Effland, Erich Kobler, Karl Kunisch, Thomas Pock

* 14 figures 

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Learning a Variational Network for Reconstruction of Accelerated MRI Data


Apr 03, 2017
Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P Recht, Daniel K Sodickson, Thomas Pock, Florian Knoll

* Submitted to Magnetic Resonance in Medicine 

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