Jinghua Fu

University of North Carolina at Chapel Hill

Papers

Total Citations

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About

Jinghua Fu is a leading researcher in continuum robotics and medical image-guided interventions, with a focus on enabling safer, more precise surgical procedures. Her most-cited work, “Continuous shape estimation of continuum robots using X-ray images” (2013, 69 citations), introduced a novel method for accurately reconstructing the full 3D shape of flexible, curvilinear robots during medical procedures using only a sparse set of X-ray projection images. This breakthrough addresses a critical challenge in minimally invasive surgery: the inability to visualize the entire robot body in real time. By leveraging radiographic and fluoroscopic data, Fu’s approach allows surgeons to continuously monitor and control continuum robots as they navigate delicate anatomical pathways. Her research bridges robotics, computer vision, and clinical imaging, offering practical solutions for improving procedural outcomes. Fu’s work has been foundational for subsequent studies in shape sensing and closed-loop control of flexible instruments, and it continues to influence the development of smarter, safer surgical robots. Her contributions are essential reading for anyone working at the intersection of medical robotics and intraoperative imaging.