Bernstein Center for Computational Neuroscience Tübingen

Swarm Learning for decentralized and confidential clinical machine learning

Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.

2021 · 795 Zit.

The landscape of biomedical research

Rita González-Márquez, Luca Schmidt, Benjamin M. Schmidt et al.

2024 · 47 Zit.

Distribution shift detection for the postmarket surveillance of medical AI algorithms: a retrospective simulation study

Lisa M. Koch, Christian F. Baumgartner, Philipp Berens

2024 · 20 Zit.

The landscape of biomedical research

Rita González-Márquez, Luca Schmidt, Benjamin M. Schmidt et al.

2023 · 17 Zit.

A paradigm shift?—On the ethics of medical large language models

Thomas Grote, Philipp Berens

2024 · 14 Zit.

Allure of Simplicity

Thomas Grote

2023 · 10 Zit.

Machine learning in healthcare and the methodological priority of epistemology over ethics

Thomas Grote

2024 · 10 Zit.

A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset

Stefano Woerner, Arthur Jaques, Christian F. Baumgartner

2025 · 5 Zit.

Association of Online Learning Behavior and Learning Outcomes for Medical Students: Large-Scale Usage Data Analysis (Preprint)

Martina Bientzle, Emrah Hircin, Joachim Kimmerle et al.

2019 · 0 Zit.

When AI joins the table: evaluating large language model performance in soft tissue sarcoma tumor board decisions

Reza Dehdab, Saif Afat, Fiona Mankertz et al.

2026 · 0 Zit.

Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals

Susu Sun, Stefano Woerner, Andreas Maier et al.

2025 · 0 Zit.

Using AI to Train Future Clinicians in Depression Assessment: Feasibility Study

Friederike Holderried, Alessandra Sonanini, Annika Philipps et al.

2025 · 0 Zit.