Xianhu Zeng

Papers

Total Citations

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About

Xianhu Zeng is a rising researcher at the intersection of biomedical engineering and radiation oncology, whose work focuses on advancing real-time motion management for precision cancer therapy. His primary research areas include respiratory motion tracking, neural signal processing, and image-guided radiotherapy. Zeng’s most notable contribution is his proof-of-concept study on neural signals-based respiratory motion tracking, published in 2023. This innovative work proposes a novel approach to overcome the inherent time lag of conventional imaging-based techniques, which often compromise treatment accuracy in thoracoabdominal radiotherapy and robotic surgery. By leveraging neural signals, Zeng’s method aims to enable instantaneous motion compensation, potentially improving clinical outcomes. Though early in his career, his work has already garnered attention, with his flagship paper accumulating 5 citations—a strong start for a nascent field. Zeng’s research holds promise for reducing treatment margins and enhancing patient safety, marking him as a contributor to the next generation of adaptive radiotherapy technologies. His dedication to bridging neural engineering and clinical oncology positions him as a researcher to watch in the evolving landscape of precision medicine.