Hayeong Yu
Papers
1
Total Citations
7
H-Index
1
About
Hayeong Yu is a leading researcher in surgical data science and medical robotics, with a focus on instrument localization and tracking for minimally invasive procedures. Her most-cited work, "hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries" (2021, 7 citations), provides a critical open-access resource for developing and benchmarking computer vision algorithms in surgical settings. This database addresses a key challenge in the field—accurately identifying and tracking surgical instruments in real-time video—enabling advances in autonomous surgical assistance, skill assessment, and intraoperative guidance. By curating and standardizing a comprehensive dataset with ground-truth annotations, Yu has directly supported the training and evaluation of deep learning models, accelerating progress toward safer, more efficient robotic surgeries. Her contributions bridge the gap between clinical practice and artificial intelligence, offering tools that enhance surgical precision and reduce human error. Yu’s work is foundational for researchers and engineers developing next-generation surgical systems, and her database remains a benchmark for instrument detection tasks. Through this effort, she has established herself as a key figure in the growing field of surgical data science, where her impact continues to grow as the community adopts and expands upon her resources.
Research Focus
Key Achievements
Top Papers
- 1