Grzegorz Toporek
Papers
3
Total Citations
76
H-Index
3
About
Grzegorz Toporek is a leading researcher in medical robotics, with a focus on image-guided interventions for surgery and diagnostics. His work centers on developing robotic systems that enhance precision and autonomy in clinical procedures, particularly in CT-guided puncture, spine surgery, and ultrasound imaging. Toporek’s major contributions include the design and validation of a robotic needle-positioning and guidance system for CT-guided puncture, demonstrated in ex vivo studies with 55 citations, showcasing its feasibility for improving accuracy in minimally invasive procedures. He also advanced spine surgery by developing an image-guided robot for pedicle screw placement in a hybrid operating room, addressing challenges in minimally invasive fusion surgery. Additionally, Toporek pioneered autonomous ultrasound probe positioning using deep learning, reducing reliance on sonographer expertise and streamlining workflow. His work, cited over 75 times collectively, underscores his impact on surgical robotics and automation. Notably, his research bridges engineering and clinical practice, offering scalable solutions for real-world operating rooms. For students and researchers, Toporek’s contributions highlight the transformative potential of integrating robotics, imaging, and AI to enhance surgical precision and patient outcomes.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Autonomous image-based ultrasound probe positioning via deep learning8 citations · 2018