Lars Wagner, M.Sc.


Room: Forschungsgruppe MITI, 1st floor

            Trogerstraße 10, 81675 Munich

Phone: +49 (0)89 4140-6374

Email: lars.wagner(at)

Research Focus

  • Multimodal Machine Learning
  • Graph Machine Learning



SASHA-OR develops an intelligent assistance robot for the surgical operating room. The concrete goal is the realization of an autonomous-collaborating surgical assistance system which is used sterilely at the operating table. The system is characterized by an unprecedented capability for flexible instrument and object management and cognitive robot-robot or robot-human interaction. As a learning system, it can be used universally in a wide variety of application scenarios. SASHA-OR develops a decisive key module for the realization of the so-called cognitive and collaborative intervention environment. This is intended to replace conventional operating rooms in the future. By integrating tactile sensor technology and computer vision methods and embedding them in a cognitive environment, the project realizes an application of embodied AI for the medical-surgical field.

Student Research Projects


  • Master thesis: Visualization and explainability of Deep Learning based swallow event detection and classification results
  • Master thesis: Postoperative video-based patient tracking using Deep Learning 
  • Semester work: Development of a sterile end effector for manipulating laparoscopic instrument


  • Master thesis: Spatio-Temporal Graph Neural Networks for Multimodal Surgical Workflow Understanding (completed)
  • Master thesis: Extra-abdominal Trocar and Instrument Detection for Enhanced Surgical Workflow Recognition (completed)
  • Semester work: Hygienic concept for robotic scrub nurse (completed)


  • Master thesis: Development of a universal sterile end effector for the manipulation of surgical instruments (completed)
  • Master thesis: Development of an intelligent transfer strategy for the robotic handover of surgical instruments (completed)
  • Master thesis: Machine learning for prediction of laparoscopic instrument changes integrating surgical knowledge (completed)
  • Bachelor thesis: Development of an intelligent intraoperative cleaning station for laparoscopic instruments (completed)



  • Jurosch, F., Wagner, L., Jell, A., Islertas, E., Wilhelm, D., Berlet, Max. "Extra-abdominal trocar and instrument detection for enhanced surgical workflow understanding". In: International Journal of Computer Assisted Radiology and Surgery (2024), DOI: 10.1007/s11548-024-03220-0
  • Wagner, L., Schneider, D. N., Mayer, L., Jell, A., Müller, C., Lenz, A., Knoll, A., and Wilhelm, D. "Towards multimodal graph neural networks for surgical instrument anticipation". In: International Journal of Computer Assisted Radiology and Surgery (2024), pp. 1-9. DOI: 10.1007/s11548-024-03226-8
  • Berlet, M., Jell, A., Wagner, L., Bernhard, L., Fuchtmann, J., Wegener, L., Feussner, H., Friess, H., and Wilhelm, D. “Model-based individual life-spanning documentation in visceral surgery: a proof of concept”. In: International Journal of Computer Assisted Radiology and Surgery (2024), pp. 1–11. DOI: 10.1007/s11548-024-03214-y.
  • Fuchtmann, J., Riedel, T., Berlet, M., Jell, A., Wegener, L., Wagner, L., Graf, S., Wilhelm, D., and Ostler-Mildner, D. “Audio-based event detection in the operating room”. In: International Journal of Computer Assisted Radiology and Surgery (2024), pp. 1–7. DOI: 10.1007/s11548-024-03211-1.
  • Geiger, A.; Wagner, L.; Rueckert, D.; Wilhelm, D.; Jell, A. "Detecting and clustering swallow events in esophageal long-term high-resolution manometry". arXiv preprint (2024) arXiv:2405.01126.


  • Wagner, L., Kolb, S., Leuchtenberger, P., Bernhard, L., Jell, A., and Wilhelm, D. “Deep learning assisted intraoperative instrument cleaning station for robotic scrub nurse systems”. In: at-Automatisierungstechnik 71.7 (2023), pp. 572–579. DOI: 10.1515/auto-2023-0062.
  • Wagner, L., Kolb, S., Looschen, C., Bernhard, L., Fuchtmann, J., Berlet, M., Fottner, J., Knoll, A., and Wilhelm, D. “Versatile end effector for laparoscopic robotic scrub nurse”. In: International Journal of Computer Assisted Radiology and Surgery 18.9 (2023), pp. 1589–1600. DOI: 10.1007/s11548-023-02892-4.19


  • Wagner, L., Bernhard, L., Fuchtmann, J., Asim Karaoglu, M., Ladikos, A., Feußner, H., and Wilhelm, D. “Integrating 3D cameras into sterile surgical environments: A comparison of different protective materials regarding scan accuracy: Development of a sterile camera enclosure for the detection of laparoscopic instruments”. In: Current Directions in Biomedical Engineering 8.1 (2022), pp. 25–29. DOI: 10.1515/cdbme-2022-0007.