Ordinal Neural Network Transformation Models: Deep and interpretable regression models for ordinal outcomes. - Lucas Kook; Lisa Herzog; Torsten Hothorn; Oliver Dürr; Beate Sick (CoRR, 2020)

Should users participate in governing social media? Philosophical and technical considerations of democratic social media. - Severin Engelmann; Jens Grossklags; Lisa Herzog (First Monday, 2020)

Integrating uncertainty in deep neural networks for MRI based stroke analysis. - Lisa Herzog; Elvis Murina; Oliver Dürr; Susanne Wegener; Beate Sick (Medical Image Anal., 2020)

Deep and interpretable regression models for ordinal outcomes. - Lucas Kook; Lisa Herzog; Torsten Hothorn; Oliver Dürr; Beate Sick (Pattern Recognit., 2022)

The Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint. - Hakim Baazaoui; Stefan T. Engelter; Henrik Gensicke; Lukas S. Enz; Marios Psychogios; Matthias Mutke; Patrik Michel; Davide Strambo; Alexander Salerno; Henk A. Marquering; Paul H. J. Nederkoorn; Nabila Wali; et al. (Frontiers Neuroinformatics, 2024)

Big data and the risk of misguided responsibilization. - Lisa Herzog (Ethics Inf. Technol., 2024)

Going beyond explainability in multi-modal stroke outcome prediction models. - Jonas Brändli; Maurice Schneeberger; Lisa Herzog; Loran Avci; Nordin Dari; Martin Häansel; Hakim Baazaoui; Pascal Bühler; Susanne Wegener; Beate Sick (CoRR, 2025)

Outcome prediction and individualized treatment effect estimation in patients with large vessel occlusion stroke. - Lisa Herzog; Pascal Bühler; Ezequiel de la Rosa; Beate Sick; Susanne Wegener (CoRR, 2025)