Responsible AI, ethics, and the AI lifecycle: how to consider the human influence? - Elia, Miriam; Ziethmann, Paula; Krumme, Julia; Schlögl-Flierl, Kerstin; Bauer, Bernhard (AI Ethics, 2025)

Clinical Decision Support Systems at the Intersection of Technology and Ethics: A Critical Analysis of the Ethical Guidelines Issued by the German Medical Association. - Ziethmann, Paula; Elia, Miriam; Stieler, Fabian; Bauer, Bernhard; Welzel, Julia; Schlögl-Flierl, Kerstin (Digit. Soc., 2025)

MQG4AI Towards Responsible High-risk AI - Illustrated for Transparency Focusing on Explainability Techniques. - Elia, Miriam; Lopez, Alba Maria; Corredor, Katherin Alexandra; Bauer, Bernhard; García-Cuesta, Esteban (CoRR, 2025)

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. - Boulogne, Luuk H.; Lorenz, Julian; Kienzle, Daniel; Schön, Robin; Ludwig, Katja; Lienhart, Rainer; Jégou, Simon; Li, Guang; Chen, Cong; Wang, Qi; Shi, Derik; Maniparambil, Mayug; et al. (Medical Image Anal., 2024)

Towards Certifiable AI in Medicine: Illustrated for Multi-label ECG Classification Performance Metrics. - Elia, Miriam; Stieler, Fabian; Ripke, Fabian; Nann, Marius; Dopfer, Sarah; Bauer, Bernhard (2024)

A Methodology Based on Quality Gates for Certifiable AI in Medicine: Towards a Reliable Application of Metrics in Machine Learning. - Elia, Miriam; Bauer, Bernhard (2023)

Towards Automated COVID-19 Presence and Severity Classification. - Müller, Dominik; Mertes, Silvan; Schröter, Niklas; Hellmann, Fabio; Elia, Miriam; Bauer, Bernhard; Reif, Wolfgang; André, Elisabeth; Kramer, Frank (2023)

LIFEDATA - A Framework for Traceable Active Learning Projects. - Stieler, Fabian; Elia, Miriam; Weigel, Benjamin; Bauer, Bernhard; Kienle, Peter; Roth, Anton; Müllegger, Gregor; Nann, Marius; Dopfer, Sarah (2023)

Towards Automated COVID-19 Presence and Severity Classification. - Müller, Dominik; Schröter, Niklas; Mertes, Silvan; Hellmann, Fabio; Elia, Miriam; Reif, Wolfgang; Bauer, Bernhard; André, Elisabeth; Kramer, Frank (CoRR, 2023)

The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. - Boulogne, Luuk H.; Lorenz, Julian; Kienzle, Daniel; Schön, Robin; Ludwig, Katja; Lienhart, Rainer; Jégou, Simon; Li, Guang; Chen, Cong; Wang, Qi; Shi, Derik; Maniparambil, Mayug; et al. (CoRR, 2023)

An Interactive Web Application for Decision Tree Learning. - Elia, Miriam; Gajek, Carola; Schiendorfer, Alexander; Reif, Wolfgang (2020)