Marco Gribaudo
Papers
6
Total Citations
47
H-Index
4
About
Marco Gribaudo is a leading researcher at the intersection of computer graphics, medical simulation, and performance modeling. His work primarily focuses on enhancing surgical precision through advanced visualization techniques, particularly in robot-assisted and minimally invasive procedures. Gribaudo’s most cited paper, “3D augmentation of the surgical video stream: Toward a modular approach” (2020, 19 citations), demonstrates his pioneering contributions to augmented reality in surgery by integrating 3D models directly into live video feeds. He has also developed sophisticated non-linear optimization methods using Sequential Quadratic Programming for 3D deformable prostate model pose estimation (2019, 9 citations), significantly improving spatial navigation during surgery. Beyond the operating room, Gribaudo has made impactful contributions to sensor networks with his unified scheme for deployment and relocation (2008, 9 citations), and has explored collective adaptive behavior in both natural and engineered systems (2015). His recent work on physically based rendering of animated point clouds for extended reality (2023) pushes the boundaries of immersive visualization. With a career spanning medical imaging, robotics, and performance analysis, Gribaudo’s research continues to shape how digital and physical realities converge in high-stakes environments.
Research Focus
Key Achievements
Top Papers
- 13D augmentation of the surgical video stream: Toward a modular approach19 citations · 2020
- 2
- 3Sensor Deployment and Relocation: A Unified Scheme9 citations · 2008
- 4Enhancing Spatial Navigation in Robot-Assisted Surgery: An Application5 citations · 2019
- 5Performance Analysis of Collective Adaptive Behaviour in Time and Space3 citations · 2015
- 6Physically Based Rendering of Animated Point Clouds for EXtended Reality2 citations · 2023