Xiaomin Cheng
Papers
1
Total Citations
1
H-Index
1
About
Xiaomin Cheng is a researcher specializing in medical image analysis and computational biomechanics, with a particular focus on patient-specific spine geometry reconstruction. Their most-cited work, "2D/3D Shape Model Registration with X-ray Images for Patient-Specific Spine Geometry Reconstruction" (2023), introduces a novel method for aligning 3D shape models with 2D X-ray images, enabling accurate and personalized modeling of spinal structures. This contribution addresses a critical challenge in orthopedics and surgical planning, where precise geometric reconstruction from limited imaging data is essential. While the paper has garnered 1 citation to date, its methodology holds significant potential for advancing minimally invasive spine surgery and implant design. Cheng’s research bridges computer vision and clinical applications, offering a pathway to reduce radiation exposure and improve diagnostic accuracy. Their work is particularly relevant for researchers in medical robotics, image-guided interventions, and patient-specific modeling. As a rising voice in this interdisciplinary field, Cheng’s contributions underscore the growing importance of integrating shape registration techniques with real-world clinical workflows.
Research Focus
Key Achievements
Top Papers
- 1