Anthony Agustinos
Papers
3
Total Citations
100
H-Index
3
About
Anthony Agustinos is a leading researcher in surgical vision and computer-assisted intervention, with a focus on enhancing minimally invasive surgery through intelligent imaging and robotic control. His work centers on the real-time tracking and segmentation of surgical instruments using endoscopic video, a critical enabler for autonomous robotic assistance and augmented reality in the operating room. In his most cited work (50 citations), Agustinos led a comparative evaluation of instrument segmentation and tracking methods, establishing benchmarks that have guided subsequent research in the field. He pioneered a visual servoing approach for a robotic endoscope holder, using instrument tracking to automatically center the camera during laparoscopic procedures—reducing surgeon fatigue and improving workflow. His 2D/3D real-time tracking framework (20 citations) further advanced the precision of instrument localization from endoscopic images. By replacing cumbersome external trackers with purely vision-based solutions, Agustinos has made foundational contributions to the safety and autonomy of robotic surgery. His work is widely cited by teams developing next-generation surgical robots and computer-aided interventions.
Research Focus
Key Achievements
Top Papers
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