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About

Xinan Sun is a rising leader in the field of surgical robotics and medical image analysis, with a focus on enhancing precision and safety in minimally invasive procedures. His research spans robotic-assisted bronchoscopy, surgical instrument segmentation, and advanced visualization techniques for endoscopic surgery. Sun’s major contributions include the development of a robotic-assisted automatic intervention system (RAIS) for bronchoscopy, which uses image guidance to reduce surgeon fatigue and errors during complex bronchial navigation—a work that has garnered 26 citations. He also pioneered a residual Swin transformer network for surgical smoke removal (30 citations), significantly improving intraoperative visibility. His parallel network for surgical instrument segmentation (16 citations) combines local features and global representations to enhance tool tracking accuracy. Additionally, Sun has explored dynamic surface reconstruction using neural radiance fields for robot-assisted surgery and designed a variable baseline stereoscopic camera for natural orifice transluminal endoscopic surgery. With over 80 citations across his top works, Sun’s innovations are driving the next generation of autonomous and semi-autonomous surgical systems, making procedures safer and more efficient.