Jiahao Cui

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About

Jiahao Cui is a rising researcher at the forefront of computer vision and medical imaging, with a primary focus on deformable 3D reconstruction for endoscopic surgery. His work bridges the gap between advanced neural rendering techniques and practical clinical applications, aiming to create real-time, high-fidelity visualizations of soft tissues during minimally invasive procedures. Cui’s most notable contribution, "EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting" (2025), introduces a novel framework that leverages 3D Gaussian splatting to model the complex, non-rigid deformations of internal organs—a critical challenge in surgical navigation. This paper has already garnered 27 citations in its first year, reflecting its immediate impact on the field. By enabling more accurate and dynamic tissue reconstruction, Cui’s work holds promise for improving surgical precision and patient outcomes. His research not only advances computer graphics and machine learning but also directly addresses real-world medical needs, positioning him as a key innovator in the emerging area of AI-assisted surgery.