Erich Kobler
Erich Kobler
PhD student at Institute of Computer Graphics and Vision, Graz Universtiy of Technology
Verified email at
Cited by
Cited by
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
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
Variational networks: connecting variational methods and deep learning
E Kobler, T Klatzer, K Hammernik, T Pock
German conference on pattern recognition, 281-293, 2017
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
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
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
Trainable regularization for multi-frame superresolution
T Klatzer, D Soukup, E Kobler, K Hammernik, T Pock
German Conference on Pattern Recognition, 90-100, 2017
An optimal control approach to early stopping variational methods for image restoration
A Effland, E Kobler, K Kunisch, T Pock
arXiv preprint arXiv:1907.08488, 2019
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
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
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
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
Total Deep Variation for Linear Inverse Problems
E Kobler, A Effland, K Kunisch, T Pock
arXiv preprint arXiv:2001.05005, 2020
Image Morphing in Deep Feature Spaces: Theory and Applications
A Effland, E Kobler, T Pock, M Rajković, M Rumpf
arXiv preprint arXiv:1910.12672, 2019
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
Effect of Multislit Collimator Motion On SparseCT Image Quality for Low-Dose CT Examinations
B Chen, E Kobler, T Allmendinger, A Sodickson, D Sodickson, R Otazo
Medical Physics, E504-E505, 2019
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
Learning variational models for blind image deconvolution
E Kobler
Graz University of Technology, 2014
Supplemental Material of Variational Networks: Connecting Variational Methods and Deep Learning
E Kobler, T Klatzer, K Hammernik, T Pock
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