Itay Or
Papers
1
Total Citations
2
H-Index
1
About
Itay Or is a researcher advancing the field of computer vision for surgical applications, with a focus on monocular pose estimation of articulated tools in real-world operating environments. His most-cited work, "Monocular pose estimation of articulated open surgery tools - in the wild" (2025), tackles the challenging problem of tracking complex surgical instruments from a single camera without controlled conditions—a critical step toward enhancing robotic assistance and intraoperative guidance. By addressing the "in the wild" setting, Or’s research bridges the gap between lab-based algorithms and practical clinical deployment, enabling more robust tool localization even under occlusions, variable lighting, and dynamic scenes. Though early in his career, his contributions are already recognized with 2 citations, signaling growing interest from the surgical robotics and computer vision communities. Or’s work stands out for its emphasis on articulated tools, which are notoriously difficult to model due to their multiple degrees of freedom, and for its potential to improve safety and precision in open surgery. As the demand for intelligent surgical systems rises, Itay Or is positioned to make lasting impacts on how machines perceive and assist in the operating room.
Research Focus
Key Achievements
Top Papers
- 1