Papers
19
Total Citations
924
H-Index
13
About
Lee Su-Lin is a pioneering biomedical engineer and roboticist whose research sits at the intersection of surgical robotics, medical imaging, and artificial intelligence. Best known for her highly influential 2012 survey "Emerging Robotic Platforms for Minimally Invasive Surgery" — which has accumulated over 450 citations and remains a landmark reference in the field — she has systematically advanced the development of intelligent, computer-assisted surgical systems designed to reduce patient trauma and improve clinical outcomes. Her contributions span robotic catheterization and endovascular navigation, where she has developed both learning-based and model-driven control frameworks for cardiovascular procedures, as well as innovative multi-robot cooperation systems for manufacturing personalized stent grafts. Her work on 3D shape instantiation using deep learning techniques, including focal U-Net architectures, addresses critical limitations of 2D fluoroscopic guidance in complex aortic repair surgeries. More recently, she has expanded into artificial intelligence for cardiac electrophysiology, with her 2021 paper on AI-driven arrhythmia diagnosis rapidly accumulating over 125 citations. With a portfolio spanning augmented reality, force-sensing navigation, and vision-guided robotic learning, Lee Su-Lin's research has collectively shaped modern minimally invasive surgery, making her an essential voice for students and clinicians exploring the future of surgical automation.
Research Focus
Key Achievements
Top Papers
- 1Emerging Robotic Platforms for Minimally Invasive Surgery451 citations · 2012
- 2Artificial intelligence in the diagnosis and management of arrhythmias128 citations · 2021
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- 5A Multirobot Cooperation Framework for Sewing Personalized Stent Grafts36 citations · 2017
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- 8Medical Imaging and Augmented Reality21 citations · 2016
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