Learning joint demosaicing and denoising based on sequential energy minimization. - Teresa Klatzer; Kerstin Hammernik; Patrick Knöbelreiter; Thomas Pock (ICCP, 2016)

Trainable Regularization for Multi-frame Superresolution. - Teresa Klatzer; Daniel Soukup; Erich Kobler; Kerstin Hammernik; Thomas Pock (GCPR, 2017)

Variational Networks: Connecting Variational Methods and Deep Learning. - Erich Kobler; Teresa Klatzer; Kerstin Hammernik; Thomas Pock (GCPR, 2017)

Learning a Variational Network for Reconstruction of Accelerated MRI Data. - Kerstin Hammernik; Teresa Klatzer; Erich Kobler; Michael P. Recht; Daniel K. Sodickson; Thomas Pock; Florian Knoll (CoRR, 2017)

Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections. - Alexander Effland; Michael Hölzel; Teresa Klatzer; Erich Kobler; Jennifer Landsberg; Leonie Neuhäuser; Thomas Pock; Martin Rumpf (Bildverarbeitung für die Medizin, 2018)

Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data. - Alexander Effland; Erich Kobler; Anne Brandenburg; Teresa Klatzer; Leonie Neuhäuser; Michael Hölzel; Jennifer Landsberg; Thomas Pock; Martin Rumpf (Int. J. Comput. Assist. Radiol. Surg., 2019)

Accelerated Bayesian Imaging by Relaxed Proximal-Point Langevin Sampling. - Teresa Klatzer; Paul Dobson; Yoann Altmann; Marcelo Pereyra; Jesús María Sanz-Serna; Konstantinos C. Zygalakis (SIAM J. Imaging Sci., 2024)

Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems. - Teresa Klatzer; Savvas Melidonis; Marcelo Pereyra; Konstantinos C. Zygalakis (CoRR, 2025)