Yun-Jeong Lee
Papers
2
Total Citations
7
H-Index
2
About
Dr. Yun-Jeong Lee is a rising leader in surgical robotics, specializing in autonomous intraoperative guidance for robot-assisted minimally invasive surgery (RMIS). Her research addresses a critical bottleneck in tumor resection: the lack of real-time, registration-free localization during surgery. In her highly cited 2023 work, Dr. Lee introduced a novel framework that eliminates the need for preoperative imaging registration, enabling seamless tumor tracking during minimally invasive procedures. Building on this, her 2025 study on sweeping palpation in RMIS demonstrated a practical, sensor-driven method for intraoperative tumor detection, achieving precise localization without disrupting surgical workflow. Though early in her career, her contributions have already garnered attention, with her 2023 paper accumulating 5 citations and her 2025 work already cited twice—a strong indicator of growing impact. Dr. Lee’s innovations promise to enhance therapeutic outcomes by reducing reliance on preoperative data and improving real-time decision-making. Her work is paving the way for smarter, more autonomous surgical systems that could transform how surgeons approach tumor resection, making her a researcher to watch in the field of medical robotics.
Research Focus
Key Achievements
Top Papers
- 1Registration-free Minimally Invasive Surgery Without Preoperative Phase5 citations · 2023
- 2