Hai Ye

Papers

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About

Hai Ye is a leading researcher in medical robotics and image-guided intervention, with a primary focus on enhancing the precision and safety of percutaneous tumor puncture procedures. His most influential work, "Robotic Needle Insertion With 2D Ultrasound–3D CT Fusion Guidance" (2023, 25 citations), addresses a critical challenge in robot-assisted liver tumor puncture: the accurate localization of tumors and surrounding anatomy despite respiratory motion. By developing a novel fusion guidance system that integrates real-time 2D ultrasound with preoperative 3D CT data, Ye’s research enables stable, accurate, and safe robotic needle insertion—a significant advancement over conventional freehand techniques. This work has been recognized for its potential to reduce procedural risks and improve clinical outcomes in minimally invasive cancer treatments. Beyond this flagship study, Ye’s contributions to puncture robotics and intraoperative navigation continue to shape the field, offering practical solutions for overcoming motion-induced inaccuracies. His research stands at the intersection of robotics, imaging, and surgical planning, making him a notable figure in the quest for more reliable, automated interventional systems.