Papers
4
Total Citations
43
H-Index
4
About
Pan Fu is a leading researcher in surgical robotics, with a focus on enhancing precision and safety in microsurgical procedures. His work spans three critical areas: tremor suppression for robot-assisted ophthalmic surgery, automated drilling for craniotomy, and intra-operative motion estimation under challenging visual conditions. Fu’s major contributions include developing a tremor suppression and noise removal algorithm for microscopic robot-assisted cataract surgery (18 citations), which directly addresses the surgeon’s hand tremor to improve guidance intelligence. He also pioneered robotic automatic drilling algorithms for craniotomy (11 citations), tackling the clinical challenge of preserving dura mater integrity during skull drilling. Additionally, Fu introduced a motion decoupling network (7 citations) to estimate instrument and soft-tissue motion from intra-operative images under occlusion, overcoming limitations of traditional optical flow. His fast instruments and tissues segmentation network for micro-neurosurgical scenes (7 citations) further advances real-time scene understanding. With over 43 total citations across these papers, Fu’s work is pivotal in translating robotic assistance from bench to bedside, promising safer, more reliable outcomes in delicate surgeries.
Research Focus
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