About

Wolfgang Birkfellner is a leading figure in the field of medical robotics and image-guided therapy, with a career dedicated to enhancing the precision and safety of surgical interventions. His core research focuses on developing robotic systems for percutaneous procedures, particularly biopsy, and advancing medical image registration techniques. Birkfellner’s major contributions include pioneering work on robot-assisted biopsy guided by both ultrasound and computed tomography (CT), as demonstrated in his highly cited papers from 2004 and 2005, which validated the feasibility and accuracy of these systems through rigorous phantom tests. He also made significant strides in 3D/2D medical image registration, devising a faster method for mapping patient anatomy to CT data—a technique critical for real-time surgical navigation. With over 240 citations across his top works, his impact is evident. Notably, his comprehensive 2022 review on source-detector trajectory optimization in cone-beam CT has become a key resource for the field. Birkfellner’s work on risk analysis and safety assessment in surgical robotics, exemplified by his 2005 case study on a biopsy robot, underscores his commitment to translating innovative technology into safe, clinically viable tools.

Research Focus

Key Achievements

5
H-Index
8
Papers
248
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Robot-assisted biopsy using ultrasound guidance: initial results from in vitro tests
66 citations · 2004
📈 Most Prolific Year: 2003 (3 Papers)
🤝 Key Collaborators: 112
🏛 Institutions: Vienna General Hospital, Medical University of Vienna, University Hospital of Basel, University of Vienna, Building Engineering and Science Talent

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
    ECR – Final Programme
    2 citations · 2004

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago