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Erich Kobler

Showing results (1-10 of 20) with videos related to

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Journal of Mathematical Imaging and Vision|April 18, 2020
Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image RestorationAlexander Effland, Erich Kobler, Karl Kunisch, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 2, 2021
Total Deep Variation: A Stable Regularization Method for Inverse ProblemsErich Kobler, Alexander Effland, Karl Kunisch, et al.
The Journal of Hand Surgery, European Volume|February 17, 2024
Periprosthetic radiolucency in total wrist arthroplasty: a radiographic studyMatthias Holzbauer, Wolfgang Raher, Erich Kobler, et al.
IEEE Transactions on Medical Imaging|June 22, 2026
MotionDPS: Motion-Compensated 3D Brain MRI ReconstructionAntonio Ortiz-Gonzalez, Erich Kobler, Lukas Schletter, et al.
Computational Optimization and Applications|August 1, 2022
Constrained and unconstrained deep image prior optimization models with automatic regularizationPasquale Cascarano, Giorgia Franchini, Erich Kobler, et al.
Journal of Mathematical Imaging and Vision|February 25, 2021
Image Morphing in Deep Feature Spaces: Theory and ApplicationsAlexander Effland, Erich Kobler, Thomas Pock, et al.
IEEE Transactions on Medical Imaging|September 10, 2021
Bayesian Uncertainty Estimation of Learned Variational MRI ReconstructionDominik Narnhofer, Alexander Effland, Erich Kobler, et al.
Magnetic Resonance in Medicine|May 19, 2018
Assessment of the generalization of learned image reconstruction and the potential for transfer learningFlorian Knoll, Kerstin Hammernik, Erich Kobler, et al.
Histochemistry and Cell Biology|March 23, 2022
A joint alignment and reconstruction algorithm for electron tomography to visualize in-depth cell-to-cell interactionsLea Bogensperger, Erich Kobler, Dominique Pernitsch, et al.
Investigative Radiology|February 23, 2023
Artificial Contrast: Deep Learning for Reducing Gadolinium-Based Contrast Agents in NeuroradiologyRobert Haase, Thomas Pinetz, Erich Kobler, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Journal of Mathematical Imaging and Vision|April 18, 2020
Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image RestorationAlexander Effland, Erich Kobler, Karl Kunisch, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 2, 2021
Total Deep Variation: A Stable Regularization Method for Inverse ProblemsErich Kobler, Alexander Effland, Karl Kunisch, et al.
The Journal of Hand Surgery, European Volume|February 17, 2024
Periprosthetic radiolucency in total wrist arthroplasty: a radiographic studyMatthias Holzbauer, Wolfgang Raher, Erich Kobler, et al.
IEEE Transactions on Medical Imaging|June 22, 2026
MotionDPS: Motion-Compensated 3D Brain MRI ReconstructionAntonio Ortiz-Gonzalez, Erich Kobler, Lukas Schletter, et al.
Computational Optimization and Applications|August 1, 2022
Constrained and unconstrained deep image prior optimization models with automatic regularizationPasquale Cascarano, Giorgia Franchini, Erich Kobler, et al.
Journal of Mathematical Imaging and Vision|February 25, 2021
Image Morphing in Deep Feature Spaces: Theory and ApplicationsAlexander Effland, Erich Kobler, Thomas Pock, et al.
IEEE Transactions on Medical Imaging|September 10, 2021
Bayesian Uncertainty Estimation of Learned Variational MRI ReconstructionDominik Narnhofer, Alexander Effland, Erich Kobler, et al.
Magnetic Resonance in Medicine|May 19, 2018
Assessment of the generalization of learned image reconstruction and the potential for transfer learningFlorian Knoll, Kerstin Hammernik, Erich Kobler, et al.
Histochemistry and Cell Biology|March 23, 2022
A joint alignment and reconstruction algorithm for electron tomography to visualize in-depth cell-to-cell interactionsLea Bogensperger, Erich Kobler, Dominique Pernitsch, et al.
Investigative Radiology|February 23, 2023
Artificial Contrast: Deep Learning for Reducing Gadolinium-Based Contrast Agents in NeuroradiologyRobert Haase, Thomas Pinetz, Erich Kobler, et al.
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