Papers
3
Total Citations
13
H-Index
2
About
Martin Lohmann’s research focuses on advancing image-guided spinal surgery and telesurgery through improved human–machine interaction and real-time spatial analysis. His most cited work introduces an elastic image fusion software that coregisters preoperatively planned pedicle screws with intraoperative CT data, addressing the critical challenge of anatomic alignment changes during spinal procedures. This innovation directly enhances the accuracy and safety of robotic-guided spinal surgeries, a contribution that has garnered 7 citations. Lohmann also investigates input modalities for telesurgery, evaluating human performance and workload to optimize surgeon–robot interfaces—work that has accumulated 4 citations. Additionally, he developed a workspace analysis method to support intraoperative trocar placement in minimally invasive robotic surgery, enabling near-real-time visualization of surgical robot workspaces to guide critical decisions during procedures. His achievements include advancing the practical integration of preoperative planning with intraoperative imaging, a key step toward more reliable and efficient robotic spinal surgery. Lohmann’s work sits at the intersection of surgical robotics, human factors engineering, and medical imaging, offering tangible tools that improve surgical precision and reduce cognitive load for surgeons.
Research Focus
Key Achievements
Top Papers
- 1
- 2Human Performance and Workload Evaluation of Input Modalities for Telesurgery4 citations · 2013
- 3