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Dominik Narnhofer

BSc, Dipl.-Ing.

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Fingerprint Dive into the research topics where Dominik Narnhofer is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Magnetic resonance Engineering & Materials Science
Image reconstruction Engineering & Materials Science
Medical image processing Engineering & Materials Science
Sampling Engineering & Materials Science
Neural networks Engineering & Materials Science
Image segmentation Engineering & Materials Science
Probability distributions Engineering & Materials Science
Tumors Engineering & Materials Science

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Research Output 2018 2019

  • 2 Conference contribution
  • 1 Article

Inverse GANs for accelerated MRI reconstruction

Narnhofer, D., Hammernik, K., Knoll, F. & Pock, T., 2019, Wavelets and Sparsity XVIII.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Magnetic resonance
Image reconstruction
Probability distributions
Deep learning

Using Synthetic Training Data for Deep Learning-Based GBM Segmentation

Lindner, L., Narnhofer, D., Weber, M., Gsaxner, C., Egger, J. & Kolodziej, M., 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers, p. 6724-6729 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Medical image processing
Neural networks
Magnetic resonance
Image segmentation

A cryostatic, fast scanning, wideband NQR spectrometer for the VHF range

Scharfetter, H., Bödenler, M. & Narnhofer, D., 1 Jan 2018, In : Journal of magnetic resonance. 286, p. 148-157

Research output: Contribution to journalArticleResearchpeer-review

Open Access