Tiexiang Wen

Shenzhen University, Chinese Academy of Sciences

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About

Tiexiang Wen is a leading researcher in surgical robotics and medical image computing, with a focus on advancing minimally invasive interventions. His primary research areas encompass robotic systems for brachytherapy, robot-assisted vascular interventions, and 3D ultrasound reconstruction for image-guided surgery. Wen’s most notable contribution is the development of a novel multi-degree-of-freedom surgical robotic system for brachytherapy on liver tumors, addressing critical challenges such as high accuracy requirements and radiation exposure to surgeons. This work, published in 2021 and garnering 18 citations, represents a significant step toward safer and more effective radioactive seed implantation for hepatocellular carcinomas. Additionally, Wen has pioneered the PixelTopoIS framework, a pixel-topology-coupled segmentation method for guidewire tip tracking in robot-assisted interventions, and has advanced freehand 3D ultrasound reconstruction techniques for intraoperative guidance. His work on 3D ultrasound, cited in multiple studies, has helped bring volumetric imaging into clinical practice for diagnostics and surgical navigation. Through these contributions, Wen is shaping the future of precision, robot-assisted surgery, reducing procedural risks and improving outcomes for patients with complex conditions.