publications

2024

1. Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling

   Teresa Klatzer, Paul Dobson, Yoann Altmann, and 3 more authors

   To appear in SIAM Journal of Imaging Science, 2024

2018

1. Learning a Variational Network for Reconstruction of Accelerated MRI Data

   Kerstin Hammernik, Teresa Klatzer, Erich Kobler, and 4 more authors

   In Magnetic Resonance in Medicine, 2018
2. Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections

   Alexander Effland, Teresa Klatzer, Michael Hölzel, and 5 more authors

   In Bildverarbeitung für die Medizin, 2018

   Abs

   Immunotherapy is currently revolutionizing the treatment of cancer. Detailed analyses of tumor immune cell interaction in the tumor microenvironment will facilitate an accurate prediction of a patient’s clinical response. The automatic and reliable pre-screening of histological tissue sections for tumor infiltrating immune cells (TILs) will support the development of TIL-based predictive biomarkers for checkpoint immunotherapy. In this paper, a learning approach for image classification is presented, which allows various pattern inquires for different types of tissue section images. The underlying trainable reaction diffusion model combines classification and denoising. The model is trained using a stochastic generation of training data. The effectiveness of this approach is demonstrated for immunofluorescent and for Hematoxylin and Eosin (H&E) stained melanoma section images. A particular focus is on the classification of TILs in the proximity to melanoma cells in an experimental melanoma mouse model and in human melanoma. This new learning approach for images of melanoma tissue sections will refine the strategy for the practical clinical application of biomarker research.

2017

1. Variational Networks: Connecting Variational Methods and Deep Learning

   Erich Kobler, Teresa Klatzer, Kerstin Hammernik, and 1 more author

   In Proceedings of the German Conference on Pattern Recognition, 2017
2. Trainable Regularization for Multi-frame Superresolution

   Teresa Klatzer, Daniel Soukup, Erich Kobler, and 2 more authors

   In Proceedings of the German Conference on Pattern Recognition, 2017

2016

1. Joint Demosaicing and Denoising Based on Sequential Energy Minimization

   Teresa Klatzer, Kerstin Hammernik, Patrick Knoebelreiter, and 1 more author

   In Proceedings of the International Conference on Computational Photography, 2016

2015

1. Continuous Hyper-parameter Optimization for Support Vector Machines

   Teresa Klatzer, and Thomas Pock

   In Proceedings of the 20th Computer Vision Winter Workshop, 2015