Siyeop Yoon

Korea Institute of Science and Technology

Papers

Total Citations

H-Index

About

Siyeop Yoon is a researcher at the forefront of surgical robotics and medical imaging, with a focus on advancing minimally invasive neurosurgery. His work centers on developing intelligent, markerless systems that enhance precision and reduce preparation time in critical procedures. A key contribution is his markerless surgical robotic system for intracerebral hemorrhage (ICH) surgery, which eliminates the need for traditional stereotactic frames, streamlining access to intracerebral hematomas and significantly shortening pre-surgical setup. He further refined this approach for keyhole neurosurgery, integrating automatic surgical planning with image-based guidance to improve accuracy. In parallel, Yoon has advanced microrobotics with a learning-based system for three-dimensional microrobot tracking, demonstrating his versatility in combining robotics with machine learning. His most-cited paper (17 citations) highlights the growing interest in his methods. By tackling the challenges of real-time tracking and frame-free navigation, Yoon is paving the way for safer, more efficient surgical interventions, making his research highly relevant for students and engineers working at the intersection of robotics, computer vision, and clinical translation.