Xuan Peng

Institute of Microelectronics, Capital Medical University

Papers

Total Citations

H-Index

About

Xuan Peng’s research bridges the cutting edge of artificial intelligence and clinical neurosurgery, with a focus on medical image processing and intraoperative safety. In their 2023 work on the ViT-Siamese Cascade Network, Peng pioneered a deep learning approach for transmission image deduplication, leveraging vision transformers to enhance data efficiency in medical imaging systems. This contribution, already garnering citations, demonstrates a commitment to solving real-world data management challenges in healthcare. More recently, Peng’s 2024 study on intraoperative neurophysiological monitoring (IONM) broke new ground by exploring its feasibility for detecting bone layer thickness during posterior cervical spine surgery. This work offers a novel, non-invasive method to guide lamina grinding, potentially reducing surgical risks and improving outcomes in cervical laminoplasty. By integrating computational innovation with practical surgical applications, Peng exemplifies the translational researcher—one whose work not only advances theoretical knowledge but also directly impacts patient care. Their dual focus on AI-driven image analysis and neurophysiological monitoring marks them as an emerging leader in the intersection of technology and medicine, with a growing portfolio that promises to influence both fields.