Papers

9

Total Citations

71

H-Index

6

About

Philipp J. Stolka is a pioneering researcher in surgical robotics and image-guided interventions, with a focus on advancing precision in minimally invasive procedures. His work centers on integrating real-time 3D ultrasound imaging with robotic systems to enable CT-free navigation, particularly for applications like laparoscopic partial nephrectomies and milling interventions. Stolka’s major contributions include the development of a 3D-elastography-guided system for tumor resection, which uses tracked elasticity imaging to enhance registration with pre-operative CT data—a novel approach cited 20 times. He also introduced sensorless freehand 3D ultrasound reconstruction techniques, leveraging correlation-based out-of-plane motion estimation to eliminate the need for external tracking hardware. His research on improving navigation precision in surgical robotics, with 9 citations, addresses challenges in registration and execution accuracy during milling. Notably, Stolka has explored hybrid force-following controllers for multi-scale motions and local mapping strategies to cope with uncertainty in autonomous robotic systems. His work, spanning over a decade, has laid foundational principles for navigation in surgical robotics, earning recognition for its impact on intraoperative imaging and robot-assisted surgery.

Research Focus

Key Achievements

6
H-Index
9
Papers
71
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A 3D-elastography-guided system for laparoscopic partial nephrectomies
20 citations · 2010
📈 Most Prolific Year: 2010 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Johns Hopkins University, University of Bayreuth, University of Kaiserslautern

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago