Papers
2
Total Citations
55
H-Index
2
About
Cui Yang is a leading researcher in biomedical engineering, specializing in robotic ultrasound imaging and automated spinal assessment. Her work addresses critical challenges in non-invasive spinal diagnostics, particularly for scoliosis and degenerative conditions. Yang’s major contribution is pioneering fully automatic 3-D imaging and measurement of human spines using robotic ultrasound systems, eliminating radiation exposure associated with X-rays while improving accuracy over freehand scanning. Her 2021 paper on this topic has garnered 47 citations, reflecting its impact on clinical radiology and rehabilitation. She further advanced the field with a 2022 study integrating multi-source vision information for complete automation, achieving 8 citations in a short period. Yang’s innovations enable consistent, operator-independent spinal measurements, promising safer and more accessible screening. Her work has been recognized for bridging robotics, computer vision, and medical imaging, positioning her as a key figure in developing radiation-free alternatives for spinal health assessment.
Research Focus
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Top Papers
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