Hyun Min Oh
Papers
1
Total Citations
2
H-Index
1
About
Hyun Min Oh is a researcher at the forefront of image-guided neurosurgery, specializing in the integration of augmented reality, robotics, and multi-sensor systems to enhance surgical precision. His most notable contribution is the development of a pioneering system that combines bipolar X-ray fluoroscopy with stereo vision for real-time coordinate tracking in neurosurgical procedures. By aligning the optical axis of the X-ray source with an optical sensor, Oh’s work enables seamless matching of coordinate systems between devices like the O-arm or C-arm fluoroscopy and surgical robots. This innovation, detailed in his 2013 paper (cited 2 times), lays the groundwork for more accurate, minimally invasive interventions. While his citation count is modest, the foundational nature of his research—bridging hardware calibration with augmented reality overlays—holds significant promise for advancing robot-assisted surgery. Oh’s focus on solving practical alignment challenges in the operating room underscores his commitment to translating complex engineering into tangible clinical tools, making his work a critical stepping stone for future developments in neurosurgical navigation and visualization.
Research Focus
Key Achievements
Top Papers
- 1