Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning. - Paul Maria Scheikl; Balázs Gyenes; Tornike Davitashvili; Rayan Younis; André Schulze; Beat P. Müller-Stich; Gerhard Neumann; Martin Wagner 001; Franziska Mathis-Ullrich (IROS, 2021)

LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery. - Paul Maria Scheikl; Balázs Gyenes; Rayan Younis; Christoph Haas; Gerhard Neumann; Martin Wagner 001; Franziska Mathis-Ullrich (J. Mach. Learn. Res., 2023)

Sim-to-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery. - Paul Maria Scheikl; Eleonora Tagliabue; Balázs Gyenes; Martin Wagner 001; Diego Dall'Alba; Paolo Fiorini; Franziska Mathis-Ullrich (IEEE Robotics Autom. Lett., 2023)

PointPatchRL - Masked Reconstruction Improves Reinforcement Learning on Point Clouds. - Balázs Gyenes; Nikolai Franke; Philipp Becker; Gerhard Neumann (CoRL, 2024)

Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud. - Pit Henrich; Balázs Gyenes; Paul Maria Scheikl; Gerhard Neumann; Franziska Mathis-Ullrich (WACV, 2024)

AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction. - Niklas Freymuth; Tobias Würth; Nicolas Schreiber; Balázs Gyenes; Andreas Boltres; Johannes Mitsch; Aleksandar Taranovic; Tai Hoang; Philipp Dahlinger; Philipp Becker; Luise Kärger; Gerhard Neumann (CoRR, 2025)

Point Cloud Segmentation for Autonomous Clip Positioning in Laparoscopic Cholecystectomy on a Phantom. - Balázs Gyenes; Nikolai Franke; Paul Maria Scheikl; Pit Henrich; Rayan Younis; Gerhard Neumann; Martin Wagner 001; Franziska Mathis-Ullrich (IEEE Robotics Autom. Lett., 2025)