Papers
11
Total Citations
94
H-Index
5
About
Deukhee Lee is a leading researcher in medical robotics, with a focus on developing intelligent, non-invasive systems for diagnosis and therapy. Her work centers on three key areas: motion compensation for soft tissue, markerless surgical robotics, and the design of continuum robots. A major contribution is her pioneering work on intensity-based visual servoing using 4D ultrasound to compensate for physiological motion in soft tissue, a critical challenge for precision procedures (24 citations). She has also advanced neurosurgery by developing a markerless surgical robotic system for intracerebral hemorrhage (ICH) evacuation, replacing invasive stereotactic frames with a weighted Iterative Closest Point registration method (12 and 10 citations). Lee’s impact is further demonstrated by her work on expeditious design optimization of concentric tube robots using heat-shrink plastic, making these dexterous tools more accessible for minimally invasive surgery. Notably, she has explored the "technologizing and digitalizing" of medical professional skills, aiming to replicate expert techniques in robotic systems for non-invasive ultrasound theragnostics. Her research integrates diagnostics and therapy, with applications ranging from kidney stone extraction to endoscopic disc surgery, solidifying her reputation as an innovator in surgical robotics.
Research Focus
Key Achievements
Top Papers
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- 2Three Dimensional Microrobot Tracking Using Learning-based System17 citations · 2019
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- 4Markerless surgical robotic system for intracerebral hemorrhage surgery10 citations · 2015
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