Xinye Ni

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About

Xinye Ni is a leading researcher in the field of medical physics and radiation oncology, with a primary focus on advancing image-guided radiotherapy through robotic and ultrasound technologies. Their most notable contribution is the development of a multimodal point cloud-based method for tumor localization in robotic ultrasound-guided radiotherapy, a groundbreaking approach that addresses critical limitations in conventional radiotherapy. This method eliminates the need for additional radiation exposure during tumor tracking and significantly improves real-time localization accuracy—a major challenge in the field. By integrating CT data with robotic ultrasound imaging, Ni’s work enables precise, non-ionizing guidance for tumor targeting, enhancing treatment efficacy while reducing patient risk. Though their most-cited paper is recent (2024), its innovative fusion of robotics, multimodal imaging, and point cloud processing marks a significant step forward in personalized cancer therapy. Ni’s research sits at the intersection of biomedical engineering, computer vision, and clinical oncology, promising to reshape how tumors are localized and treated in real-time. Their work is already inspiring further exploration into safer, more adaptive radiotherapy systems.