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Erich Kobler
Erich Kobler
Co-Groupleader at Department of Neuroradiology, University Hospital Bonn
Dirección de correo verificada de uni-bonn.de
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Año
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
18612018
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
2522019
Variational networks: connecting variational methods and deep learning
E Kobler, T Klatzer, K Hammernik, T Pock
Pattern Recognition: 39th German Conference, GCPR 2017, Basel, Switzerland …, 2017
1502017
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
1182020
Total deep variation: A stable regularization method for inverse problems
E Kobler, A Effland, K Kunisch, T Pock
IEEE transactions on pattern analysis and machine intelligence 44 (12), 9163 …, 2021
51*2021
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 62, 396-416, 2020
482020
Bayesian uncertainty estimation of learned variational MRI reconstruction
D Narnhofer, A Effland, E Kobler, K Hammernik, F Knoll, T Pock
IEEE transactions on medical imaging 41 (2), 279-291, 2021
472021
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
362020
Reduction of gadolinium-based contrast agents in MRI using convolutional neural networks and different input protocols: limited interchangeability of synthesized sequences with …
R Haase, T Pinetz, Z Bendella, E Kobler, D Paech, W Block, A Effland, ...
Investigative radiology 58 (6), 420-430, 2023
182023
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
152018
Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study
A Rastogi, G Brugnara, M Foltyn-Dumitru, MA Mahmutoglu, CJ Preetha, ...
The Lancet Oncology 25 (3), 400-410, 2024
122024
Constrained and unconstrained deep image prior optimization models with automatic regularization
P Cascarano, G Franchini, E Kobler, F Porta, A Sebastiani
Computational Optimization and Applications 84 (1), 125-149, 2023
122023
Artificial contrast: deep learning for reducing gadolinium-based contrast agents in neuroradiology
R Haase, T Pinetz, E Kobler, D Paech, A Effland, A Radbruch, ...
Investigative Radiology 58 (8), 539-547, 2023
112023
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
112019
Computed tomography reconstruction using generative energy-based priors
M Zach, E Kobler, T Pock
arXiv preprint arXiv:2203.12658, 2022
102022
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
102018
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, 309-327, 2021
92021
Explicit diffusion of Gaussian mixture model based image priors
M Zach, T Pock, E Kobler, A Chambolle
International Conference on Scale Space and Variational Methods in Computer …, 2023
82023
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, 587-599, 2019
82019
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, ...
Machine Learning for Medical Image Reconstruction: Second International …, 2019
82019
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Artículos 1–20