Qixuan Li
Papers
1
Total Citations
1
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About
Qixuan Li is a rising researcher in medical robotics and image-guided radiotherapy, with a focus on real-time, non-ionizing tumor localization. Their key research areas include multimodal sensing, point cloud processing, and robotic ultrasound guidance for cancer treatment. Li’s most notable contribution is the development of a multimodal point cloud-based method for tumor localization in robotic ultrasound-guided radiotherapy, published in 2024. This work addresses a critical challenge in radiotherapy: the poor real-time performance and additional radiation exposure associated with conventional tumor localization techniques. By integrating CT data with ultrasound imaging, Li’s method enables accurate, radiation-free tumor tracking during treatment, potentially improving patient safety and treatment precision. Although early in their career, this paper has already garnered attention for its innovative approach to combining robotics and imaging. Li’s work represents a significant step toward safer, more adaptive radiotherapy systems, positioning them as a promising contributor to the intersection of biomedical engineering and computer vision.
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