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  • 3 Similar Profiles
Deconvolution Engineering & Materials Science
Tomography Engineering & Materials Science
Cameras Engineering & Materials Science
Image reconstruction Engineering & Materials Science
Dosimetry Engineering & Materials Science
Atmospheric turbulence Engineering & Materials Science
Smartphones Engineering & Materials Science
Neural networks Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2015 2019

  • 4 Conference contribution
  • 3 Article
  • 2 Abstract
  • 1 Master's Thesis

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, (Accepted/In press) In : International Journal of Computer Assisted Radiology and Surgery.

Research output: Contribution to journalArticleResearchpeer-review

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 conferenceAbstractResearchpeer-review

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. 13 p.

Research output: Contribution to journalArticleResearchpeer-review

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 conferenceAbstractResearchpeer-review

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 contributionResearchpeer-review

Tomography
Dosimetry
X rays
Image quality
Signal to noise ratio

Activities 2018 2018

  • 4 Invited talk at conference or symposium
  • 1 Talk at conference or symposium

Variational Deep Learning for low-dose Computed Tomography

Erich Kobler (Speaker)
18 Apr 2018

Activity: Talk or presentationTalk at conference or symposiumScience to science

Deep regularization for medical image analysis

Erich Kobler (Speaker)
5 Jun 2018

Activity: Talk or presentationInvited talk at conference or symposiumScience to science

Learning Convex Regularizers for Image Reconstruction

Erich Kobler (Speaker)
21 May 201825 May 2018

Activity: Talk or presentationInvited talk at conference or symposiumScience to science

Variational networks: connecting variational methods and deep learning

Erich Kobler (Speaker)
19 Mar 201823 Mar 2018

Activity: Talk or presentationInvited talk at conference or symposiumScience to science

Learning for Compressed Sensing CT Reconstruction

Erich Kobler (Speaker)
7 Jun 2018

Activity: Talk or presentationInvited talk at conference or symposiumScience to science

Prizes

GCPR 2017 Best Paper Award

Erich Kobler (Recipient), Kerstin Hammernik (Recipient), Thomas Pock (Recipient) & Teresa Klatzer (Recipient), 15 Sep 2017

Prize: Prizes / Medals / Awards

Summa cum Laude Merit Award

Kerstin Hammernik (Recipient), Erich Kobler (Recipient), Thomas Pock (Recipient), Michael P Recht (Recipient), Daniel K Sodickson (Recipient) & Florian Knoll (Recipient), 2018

Prize: Prizes / Medals / Awards