Papers
4
Total Citations
50
H-Index
3
About
Shuojue Yang is a rising star in surgical robotics and medical imaging, whose work bridges the gap between autonomous systems and real-time intraoperative guidance. Her research centers on three key areas: surgical scene reconstruction, multimodal image registration, and robotic bioprinting for tissue repair. Yang’s most impactful contribution is **Deform3DGS**, a flexible deformation framework using Gaussian splatting that enables fast, high-fidelity 3D reconstruction of surgical scenes—particularly valuable in minimally invasive procedures. This work has already garnered 36 citations since its 2024 publication, reflecting its immediate relevance to the field. She has also advanced photoacoustic and ultrasound-guided interventions, developing an arc-to-line frame registration method for robot-assisted laparoscopic prostatectomy (7 citations) and an automatic search algorithm for photoacoustic markers in transrectal ultrasound. Notably, her 2024 paper on an autonomous in situ bioprinting robotic framework for treating volumetric muscle loss injuries (3 citations) showcases her versatility, addressing a critical challenge in regenerative surgery. By integrating computer vision, robotics, and biomedical engineering, Yang is shaping the future of intelligent, image-guided surgical systems.
Research Focus
Key Achievements
Top Papers
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