Alessio Dore

Imperial College London, University of Salford

Papers

Total Citations

107

H-Index

About

Alessio Dore is a leading researcher at the intersection of computer vision, medical robotics, and surgical data science. His work focuses on developing intelligent, vision-based systems to enhance guidance and autonomy in minimally invasive surgery (MIS) and endovascular interventions. Dore’s major contributions include pioneering techniques for the combined 2D and 3D tracking of surgical instruments, a foundational challenge for both conventional and robotic-assisted MIS. His most cited paper on this topic (62 citations) demonstrates how vision-based approaches can provide robust instrument localization with minimal hardware requirements. He has also advanced intraoperative guidance through probabilistic fusion of electromagnetic tracking with physically-based simulation for catheter navigation (34 citations), addressing critical issues like radiation exposure in fluoroscopy. Earlier in his career, Dore contributed to the economic evaluation of robot-based assembly systems, showcasing his long-standing engagement with robotics. His work is highly influential for researchers developing computer-assisted interventions, providing practical solutions that bridge the gap between simulation and real-time surgical guidance.