Papers

2

Total Citations

63

H-Index

2

About

Benjamin Eigl is a biomedical engineer whose research focuses on computer-assisted surgery and image-guided interventions, particularly for minimally invasive procedures in hepatobiliary and pancreatic surgery. His major contributions center on developing navigation platforms that compensate for organ deformation during laparoscopic procedures—a critical challenge in soft-tissue surgery. In his most cited work (2020, 52 citations), Eigl introduced a novel navigation system for laparoscopic liver surgery that uses injected fiducials to track and compensate for organ deformation, significantly improving registration accuracy between preoperative images and the intraoperative field. This work addresses a longstanding barrier to adopting image guidance in abdominal surgery. He further extended this approach to pancreatic surgery (2020, 11 citations), demonstrating a computer-assisted navigation system for endopancreatic procedures. Eigl’s research bridges the gap between engineering solutions and clinical needs, offering practical tools that enhance surgical precision and safety. His work has been recognized for its potential to transform how surgeons navigate complex, deformable anatomy, making him a notable contributor to the field of surgical navigation and medical image computing.

Research Focus

Key Achievements

2
H-Index
2
Papers
63
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of a novel navigation platform for laparoscopic liver surgery with organ deformation compensation using injected fiducials
52 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Systems, Applications & Products in Data Processing (Switzerland), University of Bern

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago