Tristan Payer, M.Sc.

Publications

Pre-Print

• Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics

  Sebastian Hartwig, Dominik Engel, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski

  https://arxiv.org/abs/2403.11821 2024

Peer-Reviewed

• Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performance

  Daniel Wolf, Tristan Payer, Cathrina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz*, Timo Ropinski*

  Computers in Biology and Medicine. 2024
• Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images

  Hannah Kniesel, Leon Sick, Tristan Payer, Tim Bergner, Kavitha Shaga Devan, Clarissa Read, Paul Walther, Timo Ropinski, Pedro Hermosilla

  International Conference on Learning Representations 2024
• Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with Small Datasets in Deep Learning for Medical Imaging

  Daniel Wolf, Tristan Payer, Cathrina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz*, Timo Ropinski*

  Nature Scientific Reports 2023
• Medical volume segmentation by overfitting sparsely annotated data

  Tristan Payer, Faraz Nizamani, Meinrad Beer, Michael Götz, Timo Ropinski

  Journal of Medical Imaging 2023