Erich Kobler
Erich Kobler
PostDoc at Institute of Computer Graphics and Vision, Graz Universtiy of Technology
Verified email at icg.tugraz.at
Title
Cited by
Cited by
Year
Learning a variational network for reconstruction of accelerated MRI data
K Hammernik, T Klatzer, E Kobler, MP Recht, DK Sodickson, T Pock, ...
Magnetic resonance in medicine 79 (6), 3055-3071, 2018
6802018
Assessment of the generalization of learned image reconstruction and the potential for transfer learning
F Knoll, K Hammernik, E Kobler, T Pock, MP Recht, DK Sodickson
Magnetic resonance in medicine 81 (1), 116-128, 2019
952019
Variational networks: connecting variational methods and deep learning
E Kobler, T Klatzer, K Hammernik, T Pock
German conference on pattern recognition, 281-293, 2017
792017
Variational networks: An optimal control approach to early stopping variational methods for image restoration
A Effland, E Kobler, K Kunisch, T Pock
Journal of mathematical imaging and vision, 1-21, 2020
13*2020
Total deep variation for linear inverse problems
E Kobler, A Effland, K Kunisch, T Pock
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
132020
Variational adversarial networks for accelerated MR image reconstruction
K Hammernik, E Kobler, T Pock, MP Recht, DK Sodickson, F Knoll
Joint Annual Meeting ISMRM-ESMRMB 2018, 2018
92018
Total deep variation: A stable regularizer for inverse problems
E Kobler, A Effland, K Kunisch, T Pock
arXiv preprint arXiv:2006.08789, 2020
62020
SparseCT: System concept and design of multislit collimators
B Chen, E Kobler, MJ Muckley, AD Sodickson, T O'Donnell, T Flohr, ...
Medical physics 46 (6), 2589-2599, 2019
62019
Variational deep learning for low-dose computed tomography
E Kobler, M Muckley, B Chen, F Knoll, K Hammernik, T Pock, D Sodickson, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
62018
Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data
A Effland, E Kobler, A Brandenburg, T Klatzer, L Neuhäuser, M Hölzel, ...
International journal of computer assisted radiology and surgery 14 (4), 587-599, 2019
42019
Joint multi-anatomy training of a variational network for reconstruction of accelerated magnetic resonance image acquisitions
PM Johnson, MJ Muckley, M Bruno, E Kobler, K Hammernik, T Pock, ...
International Workshop on Machine Learning for Medical Image Reconstruction …, 2019
32019
Trainable regularization for multi-frame superresolution
T Klatzer, D Soukup, E Kobler, K Hammernik, T Pock
German Conference on Pattern Recognition, 90-100, 2017
32017
Image morphing in deep feature spaces: theory and applications
A Effland, E Kobler, T Pock, M Rajković, M Rumpf
Journal of mathematical imaging and vision 63 (2), 309-327, 2021
22021
Time discrete geodesics in deep feature spaces for image morphing
A Effland, E Kobler, T Pock, M Rumpf
International Conference on Scale Space and Variational Methods in Computer …, 2019
22019
Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections
A Effland, M Hölzel, T Klatzer, E Kobler, J Landsberg, L Neuhäuser, ...
Bildverarbeitung für die Medizin 2018, 334-340, 2018
22018
Shared Prior Learning of Energy-Based Models for Image Reconstruction
T Pinetz, E Kobler, T Pock, A Effland
arXiv preprint arXiv:2011.06539, 2020
12020
Accelerating Prostate Diffusion-weighted MRI Using a Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study
EA Kaye, EA Aherne, C Duzgol, I Häggström, E Kobler, Y Mazaheri, ...
Radiology: Artificial Intelligence 2 (5), e200007, 2020
12020
Analysis of the influence of deviations between training and test data in learned image reconstruction
F Knoll, K Hammernik, E Kobler, T Pock, DK Sodickson, MP Recht
ISMRM Workshop on Machine Learning, 2018
12018
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction
D Narnhofer, A Effland, E Kobler, K Hammernik, F Knoll, T Pock
arXiv preprint arXiv:2102.06665, 2021
2021
Total Deep Variation for Noisy Exit Wave Reconstruction in Transmission Electron Microscopy.
T Pinetz, E Kobler, C Doberstein, B Berkels, A Effland
SSVM, 491-502, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–20