Token-based OSCI SystemC Simulator for Architecture Dimensioning. - Klaus Strohmenger; Martin Bücker 001 (FDL, 2006)

Reproducibility and Performance of Deep Learning Applications for Cancer Detection in Pathological Images. - Christoph Jansen; Bruno Schilling; Klaus Strohmenger; Michael Witt 001; Jonas Annuscheit; Dagmar Krefting (CCGRID, 2019)

Curious Containers: A framework for computational reproducibility in life sciences with support for Deep Learning applications. - Christoph Jansen; Jonas Annuscheit; Bruno Schilling; Klaus Strohmenger; Michael Witt 001; Felix Bartusch; Christian Herta; Peter Hufnagl; Dagmar Krefting (Future Gener. Comput. Syst., 2020)

Higher Education Teaching Material on Machine Learning in the Domain of Digital Pathology. - Klaus Strohmenger; Christian Herta; Oliver Fischer; Jonas Annuscheit; Peter Hufnagl (AI and ML for Digital Pathology, 2020)

The EMPAIA Platform: Vendor-neutral integration of AI applications into digital pathology infrastructures. - Christoph Jansen; Klaus Strohmenger; Daniel Romberg; Tobias Küster; Nick Weiss; Björn Lindequist; Michael Franz; André Homeyer; Norman Zerbe (CCGRID, 2022)

EMPAIA App Interface: An open and vendor-neutral interface for AI applications in pathology. - Daniel Romberg; Klaus Strohmenger; Christoph Jansen; Tobias Küster; Nick Weiss; Christian Geißler; Tomasz Soltysinski; Michael Takla; Peter Hufnagl; Norman Zerbe; André Homeyer (Comput. Methods Programs Biomed., 2022)

Recommendations on test datasets for evaluating AI solutions in pathology. - André Homeyer; Christian Geißler; Lars Ole Schwen; Falk Zakrzewski; Theodore Evans; Klaus Strohmenger; Max Westphal; Roman David Bülow; Michaela Kargl; Aray Karjauv; Isidre Munné-Bertran; Carl Orge Retzlaff; et al. (CoRR, 2022)

The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures. - Christoph Jansen; Björn Lindequist; Klaus Strohmenger; Daniel Romberg; Tobias Küster; Nick Weiss; Michael Franz; Lars Ole Schwen; Theodore Evans; André Homeyer; Norman Zerbe (Future Gener. Comput. Syst., 2023)

Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative. - Norman Zerbe; Lars Ole Schwen; Christian Geißler; Katja Wiesemann; Tom Bisson; Peter Boor; Rita Carvalho; Michael Franz; Christoph Jansen; Tim-Rasmus Kiehl; Björn Lindequist; Nora Charlotte Pohlan; et al. (CoRR, 2024)