Papers
2
Total Citations
16
H-Index
2
About
Tianze Xu is a rising researcher at the intersection of medical robotics and computer vision, with a focus on advancing precision in orthopedic surgery. His work centers on developing intelligent systems for surgical navigation and implant positioning, particularly in robotic-assisted total hip arthroplasty (THA) and capsule endoscopy. In a notable 2020 study, Xu demonstrated that personalized cup positioning guides significantly improved both cup placement accuracy and hip range of motion compared to standard one-size-fits-all mechanical alignment guides in robotic THA—addressing a critical need to prevent component impingement and dislocation. This work, cited 7 times, highlights his commitment to patient-specific surgical solutions. More recently, Xu introduced a heatmap-guided two-stage neural network for precise angle estimation of capsule robots in ultrasound imaging (2023, 9 citations), enabling more reliable localization of wireless endoscopic devices. His contributions bridge deep learning with clinical robotics, offering practical improvements in surgical outcomes. With a growing citation record and a focus on translating AI-driven methods into real-world surgical tools, Xu is establishing himself as an innovator in computer-assisted orthopedics and medical image analysis.
Research Focus
Key Achievements
Top Papers
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