Jianyi Li
Papers
4
Total Citations
83
H-Index
4
About
Jianyi Li is a researcher at the forefront of robotic ultrasound imaging, with a primary focus on developing intelligent systems for spinal assessment and rehabilitation. His most significant contribution lies in pioneering fully automatic 3-D imaging and measurement of the human spine using robotic ultrasound, a safer, radiation-free alternative to traditional X-ray. His landmark 2021 paper on this topic has garnered 47 citations, establishing a foundation for non-invasive spinal evaluation. Li’s work uniquely bridges human-robot interaction and medical imaging; his 2023 study on mimicking human manipulation for robot-assisted spine ultrasound (24 citations) demonstrates how anthropomorphic scanning techniques can enhance imaging quality and clinical utility. He further advanced the field with fully automatic spinal scanning using multi-source vision information, integrating computer vision to eliminate manual intervention. Beyond spinal imaging, Li has contributed to rehabilitation robotics, designing a novel ankle rehabilitation robot for stroke patients. His research not only pushes the boundaries of autonomous medical imaging but also promises to make spinal diagnostics more accessible, consistent, and patient-friendly—a vital step toward widespread clinical adoption of robotic ultrasound systems.
Research Focus
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Top Papers
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