Guillaume Zahnd

Technical University of Munich

Papers

2

Total Citations

152

H-Index

2

About

Guillaume Zahnd is a leading researcher in the field of surgical robotics, with a primary focus on robot-assisted ultrasound (US) systems and orthopaedic interventions. His work addresses critical challenges in automating surgical procedures, particularly in improving image quality and procedural safety. One of his major contributions is the development of a method for automatic normal positioning of robotic ultrasound probes, which optimizes probe orientation based on confidence map analysis and force measurement—a breakthrough for fully-autonomous orthopaedic imaging. This work has garnered 94 citations, reflecting its impact on the field. Additionally, Zahnd has advanced safety in robot-assisted laminectomy by introducing an analytical force model to monitor cutting depth during milling, a technique that has earned 58 citations. His research integrates dynamic modeling and real-time force feedback to prevent surgical errors, showcasing his commitment to enhancing precision and safety in robot-assisted surgery. Zahnd’s contributions are pivotal in bridging the gap between robotic autonomy and clinical reliability, making him a key figure in the evolution of intelligent surgical systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
152
Total Citations
76
Avg Citations/Paper
🏆 Most Cited Paper
Automatic Normal Positioning of Robotic Ultrasound Probe Based Only on Confidence Map Optimization and Force Measurement
94 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago