Stefan Röhrl

According to our database, Stefan Röhrl authored at least 16 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

From Injection to Detection: Analyzing the Impact of Anomalous Data in Federated Learning.

Manuel Lengl, Marc Benesch, Stefan Röhrl, Simon Schumann, Martin Knopp, Oliver Hayden, Klaus Diepold

SN Comput. Sci., February, 2026

2025

Diffuse, Synthesize, Classify: Generating Synthetic Leukocyte Images to Train Privacy-Preserving Classifier.

Manuel Lengl, Simon Schumann, Stefan Röhrl, Martin Knopp, Oliver Hayden, Klaus Diepold

Proceedings of the 2025 12th International Conference on Biomedical and Bioinformatics Engineering, 2025

Homomorphic Encryption in Federated Medical Image Classification.

Manuel Lengl, Simon Schumann, Stefan Röhrl, Oliver Hayden, Klaus Diepold

Proceedings of the 4th IEEE International Conference on AI in Cybersecurity, 2025

Impact of Biased Data Injection on Model Integrity in Federated Learning.

Manuel Lengl, Marc Benesch, Stefan Röhrl, Simon Schumann, Martin Knopp, Oliver Hayden, Klaus Diepold

Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025

2024

Iterative Visual Interaction with Latent Diffusion Models.

Luca Sacchetto, Stefan Röhrl, Klaus Diepold

Proceedings of the Artificial Intelligence in HCI, 2024

'Komputer & Creativität' Teaching at the Intersection of Engineering, AI, and Theater.

Stefan Röhrl, Sabrina Schwarzmeier, David Elias Fresacher, Luca Sacchetto, Alexandra Strasser, Klaus Diepold

Proceedings of the 3rd IEEE German Education Conference, GeCon 2024, Munich, 2024

Feature Extraction by Image Transformations for Cell Image Classification.

Stefan Röhrl, Franziska Steinmetz, Philipp Paukner, Manuel Lengl, Simon Schumann, David Elias Fresacher, Christian Klenk, Dominik Heim, Martin Knopp, Katja Peschke, Maximilian Reichert, Oliver Hayden, Klaus Diepold

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Towards Interpretable Classification of Leukocytes based on Deep Learning.

Stefan Röhrl, Johannes Groll, Manuel Lengl, Simon Schumann, Christian Klenk, Dominik Heim, Martin Knopp, Oliver Hayden, Klaus Diepold

CoRR, 2023

Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging.

David Elias Fresacher, Stefan Röhrl, Christian Klenk, Johanna Erber, Hedwig Irl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp, Martin Schlegel, Sebastian Rasch, Oliver Hayden, Klaus Diepold

Proceedings of the Machine Learning for Healthcare Conference, 2023

Explainable Feature Learning with Variational Autoencoders for Holographic Image Analysis.

Stefan Röhrl, Lukas Bernhard, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

Measurement of Platelet Aggregation in Ageing Samples and After in-Vitro Activation.

Christian Klenk, David Elias Fresacher, Stefan Röhrl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp, Klaus Diepold, Stefan Holdenrieder, Oliver Hayden

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

Explainable Artificial Intelligence for Cytological Image Analysis.

Stefan Röhrl, Hendrik Maier, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold

Proceedings of the Artificial Intelligence in Medicine, 2023

2022

Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis.

Stefan Röhrl, Alice Hein, Lucie Huang, Dominik Heim, Christian Klenk, Manuel Lengl, Martin Knopp, Nawal Hafez, Oliver Hayden, Klaus Diepold

CoRR, 2022

A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification.

Alice Hein, Stefan Röhrl, Thea Grobel, Manuel Lengl, Nawal Hafez, Martin Knopp, Christian Klenk, Dominik Heim, Oliver Hayden, Klaus Diepold

Proceedings of the International Joint Conference on Neural Networks, 2022

Towards Cross Domain Transfer Learning for Underwater Correspondence Search.

Patricia Schöntag, David Nakath, Stefan Röhrl, Kevin Köser

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2019

Autoencoder Features for Differentiation of Leukocytes Based on Digital Holographic Microscopy (DHM).

Stefan Röhrl, Matthias Ugele, Christian Klenk, Dominik Heim, Oliver Hayden, Klaus Diepold

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019