Keke Yang

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About

Keke Yang is a leading researcher in endovascular robotics, specializing in autonomous navigation and image-guided intervention for vascular procedures. Her work addresses critical challenges in robot-assisted vascular intervention, particularly the need for real-time, accurate 3D-2D image alignment and motion compensation. Yang’s major contributions include the development of an iterative PnP algorithm for robust, real-time 3D-2D vascular image registration, enabling precise robot navigation even with nonrigid shapes and outliers. She also pioneered the Motion-Related Compensation (MRC) algorithm for vascular respiratory motion compensation, which extrapolates the correlation between invisible vascular and visible non-vascular structures to maintain accuracy during breathing. Her most notable achievement is VascularPilot3D, the first fully autonomous 3D endovascular robot navigation system, which represents a significant leap toward autonomous guidewire navigation. With over 18 citations across her key papers, Yang’s work bridges high-accuracy and real-time performance, setting new standards for endovascular robotics and paving the way for safer, more efficient minimally invasive procedures.