System Theoretic View on Uncertainties. - Roman Gansch; Ahmad Adee (DATE, 2020)

Systematic Modeling Approach for Environmental Perception Limitations in Automated Driving. - Ahmad Adee; Roman Gansch; Peter Liggesmeyer (EDCC, 2021)

Discovery of Perception Performance Limiting Triggering Conditions in Automated Driving. - Ahmad Adee; Roman Gansch; Peter Liggesmeyer; Claudius Gläser; Florian Drews (ICSRS, 2021)

On the Necessity of Explicit Artifact Links in Safety Assurance Cases for Machine Learning. - Lydia Gauerhof; Roman Gansch; Christian Heinzemann; Matthias Woehrle; Andreas Heyl (ISSRE Workshops, 2021)

Architectural Patterns for Handling Runtime Uncertainty of Data-Driven Models in Safety-Critical Perception. - Janek Groß; Rasmus Adler; Michael Kläs; Jan Reich; Lisa Jöckel; Roman Gansch (SAFECOMP, 2022)

Grasping Causality for the Explanation of Criticality for Automated Driving. - Tjark Koopmann; Lina Putze; Lukas Westhofen 001; Roman Gansch; Ahmad Adee; Christian Neurohr (IEEE Access, 2025)

Causal Bayesian Networks for Data-driven Safety Analysis of Complex Systems. - Roman Gansch; Lina Putze; Tjark Koopmann; Jan Reich; Christian Neurohr (CoRR, 2025)