Lian-Xin Wang

First Affiliated Hospital of Xiamen University

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About

Dr. Lian-Xin Wang is a leading researcher in computer-assisted interventional surgery, with a primary focus on medical image analysis and robotic-assisted vascular interventions. His most notable contribution is the development of a lightweight attention network for guidewire segmentation and localization in clinical fluoroscopic images, a breakthrough directly addressing the critical challenge of real-time guidewire tracking during transcatheter arterial chemoembolization (TACE). This work, published in 2025, introduces an efficient deep learning architecture that enables accurate morphological analysis of guidewires—a task essential for both robotic systems and interventional physicians. By combining attention mechanisms with a streamlined network design, Dr. Wang’s approach achieves high segmentation precision while maintaining the computational efficiency required for clinical deployment. Though early in its citation impact, this research represents a significant step toward safer, more automated vascular interventions. Dr. Wang’s work bridges the gap between artificial intelligence and interventional radiology, promising to enhance procedural outcomes and reduce radiation exposure for both patients and clinicians. His contributions are particularly valuable for advancing robotic-assisted surgery in complex endovascular procedures.