Orcun Orhan
Papers
1
Total Citations
27
H-Index
1
About
Orcun Orhan is a researcher specializing in medical robotics, image-guided interventions, and real-time ultrasound-based sensing. His most cited work, “Real-time needle tip localization in 2D ultrasound images for robotic biopsies” (2015, 27 citations), introduces a novel method for tracking needle tips during robotic biopsies. By combining Gabor filter-based image processing with Kalman filtering, Orhan significantly reduces estimation noise, enabling precise, real-time localization in 2D ultrasound—a critical advancement for improving the accuracy and safety of minimally invasive procedures. This contribution addresses a key challenge in robotic-assisted biopsies, where reliable needle guidance is essential. With 27 citations, this paper underscores his impact in the field of medical robotics and image-guided therapy. Orhan’s work bridges computer vision and robotic control, offering practical solutions for clinical applications. His research continues to influence the development of smarter, more autonomous surgical systems, making him a notable figure in the intersection of robotics and biomedical engineering.
Research Focus
Key Achievements
Top Papers
- 1