Xianpeng Cao
Papers
1
Total Citations
15
H-Index
1
About
Xianpeng Cao is a rising researcher in computer vision and medical imaging, with a primary focus on high-fidelity 3D scene reconstruction for surgical applications. His most notable contribution is the development of SurgicalGaussian, a deformable 3D Gaussian splatting framework that enables real-time, photorealistic reconstruction of dynamic surgical scenes. This work addresses the critical challenge of capturing soft tissue deformations during minimally invasive procedures, offering unprecedented visual fidelity and temporal consistency. Although published in 2024, SurgicalGaussian has already garnered 15 citations, signaling its rapid impact on the field of surgical robotics and augmented reality-assisted interventions. Cao’s research bridges the gap between neural rendering and clinical practice, providing a foundation for next-generation surgical navigation systems. His work is particularly relevant for students and researchers interested in the intersection of 3D computer vision, medical image analysis, and real-time simulation. As one of the early adopters of 3D Gaussian splatting in medicine, Cao is poised to influence how surgical scenes are visualized and interacted with in the operating room.
Research Focus
Key Achievements
Top Papers
- 1