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Research Output 2004 2019

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Abstract
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 conferenceAbstractResearchpeer-review

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

Knoll, F., Hammernik, K., Pock, T., Sodickson, D. K. & Recht, M. P., 2018, p. 3376.

Research output: Contribution to conferenceAbstractResearchpeer-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

2017

Automated segmentation and morphometry of muscle fibers from haematoxylin-eosin-stained histological sections

Gerstenberger, C., Karbiener, M., Jaufer, N., Pock, T., Urschler, M. & Gugatschka, M., 19 Oct 2017.

Research output: Contribution to conferenceAbstractResearchpeer-review

Improved Accelerated Model-based Parameter Quantification with Total-Generalized- Variation Regularization.

Maier, O., Schlögl, M., Lesch, A. J., Petrovic, A., Holler, M., Pock, T. & Stollberger, R., 2017, (Accepted/In press).

Research output: Contribution to conferenceAbstractResearchpeer-review