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  • Erich Kobler
2018

Analysis of the influence of deviations between training and test data in learned image reconstruction

Knoll, F., Hammernik, K., Kobler, E., Pock, T., Sodickson, D. K. & Recht, M. P., 2018.

Research output: Contribution to conferenceAbstract

Assessment of the generalization of learned image reconstruction and the potential for transfer learning

Knoll, F., Hammernik, K., Kobler, E., Pock, T., Recht, M. P. & Sodickson, D. K., 2018, In : Magnetic Resonance in Medicine. 81, 1, p. 116-128 13 p.

Research output: Contribution to journalArticle

2017

Trainable Regularization for Multi-frame Superresolution

Klatzer, T., Soukup, D., Kobler, E., Hammernik, K. & Pock, T., 2017, Pattern Recognition: German Conference, GCPR 2017, Proceedings. Roth, V. & Vetter, T. (eds.). Springer, p. 90-100 (Lecture Notes in Computer Science; vol. 10496).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

File
2019

Time Discrete Geodesics in Deep Feature Spaces for Image Morphing

Effland, A., Kobler, E., Pock, T. & Rumpf, M., 2019, Scale Space and Variational Methods in Computer Vision: SSVM 2019. Lellmann, J., Burger, M. & Modersitzki, J. (eds.). Cham: Springer, p. 171-182 (Lecture Notes in Computer Science; vol. 11603).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2018

Variational Deep Learning for Low-Dose Computed Tomography

Kobler, E., Muckley, M., Chen, B., Knoll, F., Hammernik, K., Pock, T., Sodickson, D. & Otazo, R., 10 Sep 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers, Vol. 2018-April. p. 6687-6691 5 p. 8462312

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2019

Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions

Johnson, P. M., Muckley, M. J., Bruno, M., Kobler, E., Hammernik, K., Pock, T. & Knoll, F., 2019, Machine Learning for Medical Image Reconstruction: Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Knoll, F., Maier, A., Rueckert, D. & Ye, J. (eds.). Cham: Springer, p. 71-79 (Lecture Notes in Computer Science; vol. 11905).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2017

Learning a Variational Network for Reconstruction of Accelerated MRI Data

Hammernik, K., Klatzer, T., Kobler, E., Recht, M. P., Sodickson, D. K., Pock, T. & Knoll, F., 2017, In : Magnetic Resonance in Medicine.

Research output: Contribution to journalArticle

2019

SparseCT: System concept and design of multislit collimators

Chen, B., Kobler, E., Muckley, M. J., D Sodickson, A., O’Donnell, T., Flohr, T., Schmidt, B., K Sodickson, D. & Otazo, R., 2019, In : Medical physics. 46, 6, p. 2589-2599

Research output: Contribution to journalArticle

2015

Learning variational models for blind image deconvolution

Kobler, E., 22 Oct 2015, 134 p.

Research output: ThesisMaster's Thesis

File
2019

Image Morphing in Deep Feature Spaces: Theory and Applications

Effland, A., Kobler, E., Pock, T., Rajkovic, M. & Rumpf, M., 2019, In : arXiv.org e-Print archive.

Research output: Contribution to journalArticle

2020
Open Access
2017

Variational Networks: Connecting Variational Methods and Deep Learning

Kobler, E., Klatzer, T., Hammernik, K. & Pock, T., 2017, Pattern Recognition: German Conference, GCPR 2017, Proceedings. Springer, p. 281-293 (Lecture Notes in Computer Science; vol. 10496).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2019

Joint Reconstruction and Classification of Tumor Cells and Cell Interactions in Melanoma Tissue Sections with Synthesized Training Data

Effland, A., Kobler, E., Brandenburg, A., Klatzer, T., Neuhäuser, L., Hölzel, M., Landsberg, J., Pock, T. & Rumpf, M., 2019, In : International Journal of Computer Assisted Radiology and Surgery.

Research output: Contribution to journalArticle

Effect of Multislit Collimator Motion On SparseCT Image Quality for Low-Dose CT Examinations

Chen, B., Kobler, E., Allmendinger, T., Sodickson, A., Sodickson, D. & Otazo, R., 2019, Medical Physics . Vol. 46(6). p. E504-E505 TH‐A‐221AB‐06

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2018

Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections

Effland, A., Hölzel, M., Klatzer, T., Kobler, E., Landsberg, J., Neuhäuser, L., Pock, T. & Rumpf, M., 2018, Bildverarbeitung für die Medizin 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Variational Adversarial Networks for Accelerated MR Image Reconstruction

Hammernik, K., Kobler, E., Pock, T., Recht, M. P., Sodickson, D. K. & Knoll, F., 2018, p. 1091.

Research output: Contribution to conferenceAbstract