Gustavo A. Puerto-Souza
Papers
4
Total Citations
105
H-Index
4
About
Gustavo A. Puerto-Souza is a leading researcher in computer vision and robotics for minimally-invasive surgery (MIS). His work focuses on solving critical challenges in feature matching, augmented reality (AR), and endoscopic navigation. He is best known for developing the **Hierarchical Multi-Affine (HMA) algorithm**, a fast and accurate feature-matching method that overcomes the limitations of traditional approaches in surgical scenes. His 2013 paper on a fast feature-matching algorithm for MIS has garnered **55 citations**, while his HMA algorithm paper has **24 citations**, underscoring their influence in the field. Puerto-Souza also advanced **Augmented-Reality displays for surgery**, achieving long-term, accurate overlay of 3D models onto laparoscopic video, with his 2013 work earning **18 citations**. His comparative study on ego-motion estimation for teleoperated robotic endoscopes further demonstrates his expertise in real-time surgical navigation. By enabling robust feature matching and precise AR overlays, Puerto-Souza’s contributions directly enhance surgeon situational awareness and patient safety, making him a key figure in the evolution of robotic-assisted surgery.
Research Focus
Key Achievements
Top Papers
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