3D Composite Finite Elements for Elliptic Boundary Value Problems with Discontinuous Coefficients. - Tobias Preußer; Martin Rumpf; Stefan A. Sauter; Lars Ole Schwen (SIAM J. Sci. Comput., 2011)

Spatio-Temporal Simulation of First Pass Drug Perfusion in the Liver. - Lars Ole Schwen; Markus Krauss; Christoph Niederalt; Felix Gremse; Fabian Kiessling; Andrea Schenk; Tobias Preusser; Lars Kuepfer (PLoS Comput. Biol., 2014)

GPU-Accelerated Sparse Matrix-Matrix Multiplication by Iterative Row Merging. - Felix Gremse; Andreas Höfter; Lars Ole Schwen; Fabian Kiessling; Uwe Naumann (SIAM J. Sci. Comput., 2015)

Zonated quantification of steatosis in an entire mouse liver. - Lars Ole Schwen; André Homeyer; Michael Schwier; Uta Dahmen; Olaf Dirsch; Arne Schenk; Lars Kuepfer; Tobias Preusser; Andrea Schenk (Comput. Biol. Medicine, 2016)

Ten quick tips for getting the most scientific value out of numerical data. - Lars Ole Schwen; Sabrina Rueschenbaum (PLoS Comput. Biol., 2018)

Ten simple rules for typographically appealing scientific texts. - Lars Ole Schwen (PLoS Comput. Biol., 2020)

Evaluating Generic Auto-ML Tools for Computational Pathology. - Lars Ole Schwen; Daniela Schacherer; Christian Geißler; André Homeyer (CoRR, 2021)

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)

Digitization of Pathology Labs: A Review of Lessons Learned. - Lars Ole Schwen; Tim-Rasmus Kiehl; Rita Carvalho; Norman Zerbe; André Homeyer (CoRR, 2023)

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)