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 (IJCNN, 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)

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 (AIME, 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 (BIOIMAGING, 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 (BIOIMAGING, 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; et al. (MLHC, 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)

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; et al. (BIBM, 2024)

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 (BIOSTEC (1), 2025)

Homomorphic Encryption in Federated Medical Image Classification. - Manuel Lengl; Simon Schumann; Stefan Röhrl; Oliver Hayden; Klaus Diepold (ICAIC, 2025)