Troy K. Adebar

Stanford University, University of British Columbia

Papers

13

Total Citations

345

H-Index

9

About

Troy K. Adebar is a leading figure in the field of medical robotics, with a primary focus on developing advanced image-guided systems for minimally invasive surgery. His work centers on two key areas: robotic needle steering for percutaneous interventions and the integration of 3D ultrasound guidance for robot-assisted surgery. Adebar’s major contributions include pioneering methods to improve the curvature of steerable needles in biological tissue, a critical step for procedures like liver tumor ablation, as demonstrated in his highly cited 2014 paper on 3D ultrasound-guided robotic needle steering (98 citations). He also developed innovative techniques for automatically localizing surgical instruments and segmenting curved needles in real-time using Doppler ultrasound. His research has had a tangible impact, with his top-cited work accumulating over 300 citations. Notably, Adebar has extended his expertise to surgical training, evaluating novel proctoring tools for robot-assisted surgery, and has achieved successful in-vivo validation of ultrasound-based guidance for prostatectomy. His work bridges the gap between robotic control, imaging, and clinical application, making him a key contributor to the next generation of smart surgical tools.

Research Focus

Key Achievements

9
H-Index
13
Papers
345
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
3-D Ultrasound-Guided Robotic Needle Steering in Biological Tissue
98 citations · 2014
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: Stanford University, University of British Columbia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago