Xiongbiao Luo

About

Xiongbiao Luo is a leading researcher in the fields of medical image analysis, computer-assisted surgery, and endoscopic vision. His work focuses on enhancing the safety and precision of minimally invasive procedures through advanced computational techniques. Luo's major contributions include developing context-aware operating theaters, as detailed in his highly cited 2018 work (103 citations), which integrates intelligent systems into surgical environments. He also pioneered vision augmentation methods for robotic surgery, such as the multiscale bilateral-weighted Retinex algorithm (2019, 20 citations), which significantly improves endoscopic image quality by correcting poor visibility and lighting conditions. His research extends to monocular endoscope 6-DoF tracking using constrained evolutionary stochastic filtering (2023, 9 citations), enabling more accurate instrument navigation. Additionally, Luo has contributed to bio-imaging and patient-customized simulations (2013, 5 citations), bridging imaging data with personalized surgical planning. His work has been recognized for its impact on surgical safety and efficiency, making him a notable figure in the intersection of computer vision and medical robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis

   103 citations · 2018
2. 2
   Endoscopic Vision Augmentation Using Multiscale Bilateral-Weighted Retinex for Robotic Surgery

   20 citations · 2019
3. 3
   Monocular endoscope 6-DoF tracking with constrained evolutionary stochastic filtering

   9 citations · 2023
4. 4
   Bio-Imaging and Visualization for Patient-Customized Simulations

   5 citations · 2013

Key Collaborators

Contact & Links