Papers
1
Total Citations
8
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1
About
Zixi Zhao is a pioneering researcher at the intersection of medical robotics and computer vision, with a primary focus on developing autonomous systems for breast cancer screening. Her most impactful work addresses a critical challenge in healthcare: the reliance on highly skilled clinicians for manual breast ultrasound examinations. In her landmark 2022 paper, "Scanning Path Planning of the Robot for Breast Ultrasound Examination Based on Binocular Vision and NURBS," Zhao introduced an innovative framework that combines binocular vision with Non-Uniform Rational B-Splines (NURBS) to enable robots to autonomously plan and execute precise ultrasound scanning paths. This contribution, which has garnered 8 citations, represents a significant step toward democratizing breast cancer detection by reducing dependence on specialist expertise. By integrating real-time 3D spatial perception with smooth path generation, her work addresses both the accuracy and safety requirements of medical robotics. Zhao's research holds particular promise for underserved regions lacking access to experienced sonographers, potentially expanding early detection capabilities. Her approach exemplifies how robotic automation can transform traditional medical procedures, making them more accessible, consistent, and reproducible.
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Top Papers
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