Lars Wagner, M.Sc.
Contact
Room: Forschungsgruppe MITI, ground floor
Trogerstraße 10, 81675 Munich
Phone: +49 (0)89 4140-6374
Email: lars.wagner(at)tum.de
Projects
SASHA-OR
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.
Publications
2024
- Scheppach, C., Wagner, L., Spinner, C., Jell, A., and Wilhelm, D. “Innovating Instrument Handover Techniques for Robotic Scrub Nurses”. In: Current Directions in Biomedical Engineering 10.2 (2024), pp. 5–9. https://doi.org/10.1515/cdbme-2024-1052
- Wagner, L., Jourdan, S., Mayer, L., Müller, C., Bernhard, L., Kolb, S., Harb, F., Jell, A., Berlet, M., Feussner, H., et al. “Robotic scrub nurse to anticipate surgical instruments based on real-time laparoscopic video analysis”. In: Communications Medicine 4.1 (2024), p. 156. https://doi.org/10.1038/s43856-024-00581-0
- 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), https://doi.org/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), https://doi.org/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), https://doi.org/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), https://doi.org/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) https://doi.org/10.48550/arXiv.2405.01126
2023
- 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. https://doi.org/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. https://doi.org/10.1007/s11548-023-02892-4
2022
- 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. https://doi.org/10.1515/cdbme-2022-0007
Student Research Projects
2024
- Master thesis: Development of a Robotic End Effector for Decompression of Tension Pneumothorax
- 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 (completed)
- Semester work: Development of a sterile end effector for manipulating laparoscopic instrument (completed)
2023
- 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)
2022
- 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)