Apeksha Avinash

University of British Columbia

Papers

6

Total Citations

78

H-Index

5

About

Apeksha Avinash is a leading researcher at the intersection of surgical robotics, computer vision, and medical training, with a focus on enhancing the da Vinci surgical system. Her work addresses critical challenges in robot-assisted surgery, from training methodologies to intraoperative guidance. Her most cited paper, "Play Me Back" (19 citations), introduces a unified training platform combining hand-over-hand and trial-and-error approaches for both robotic and laparoscopic surgery. She has also pioneered a "pickup" stereoscopic camera system with visual-motor aligned control (19 citations) and developed a markerless, real-time augmented reality guidance system for robot-assisted radical prostatectomy (18 citations), representing a significant step toward safer, more intuitive procedures. Avinash's research on multi-camera systems for skill assessment and her evaluation of increasing camera baseline on depth perception (8 citations) have advanced the understanding of stereo vision in surgical contexts. Her recent work on 6-DoF autonomous camera movement for video-based skill assessment further demonstrates her commitment to objective, data-driven evaluation methods. With over 78 total citations, Avinash's contributions are shaping the future of surgical training and autonomous assistance in the operating room.

Research Focus

Key Achievements

5
H-Index
6
Papers
78
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Play Me Back: A Unified Training Platform for Robotic and Laparoscopic Surgery
19 citations · 2018
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of British Columbia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago