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

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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

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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

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Medical volume segmentation by overfitting sparsely annotated data

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

Journal of Medical Imaging, 2023

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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

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