Abouzar Eslami
Papers
11
Total Citations
243
H-Index
7
About
Abouzar Eslami is a leading researcher at the intersection of robotics, computer vision, and ophthalmic microsurgery. His work focuses on developing robotic systems and image-guided techniques to overcome the extreme challenges of delicate procedures like subretinal injection and vitreoretinal surgery—where surgeon hand tremor and insufficient visual feedback are critical barriers. Eslami’s major contributions include designing a hybrid parallel–serial robot system for subretinal injection (114 citations) and pioneering methods for precision needle tip localization and 6DOF pose estimation using optical coherence tomography (OCT). He has advanced vision-based navigation with deep learning frameworks for needle detection and tracking, enabling safer, more accurate autonomous injections. His comparative studies between robot-assisted and manual techniques in ex-vivo models have demonstrated significant improvements in success rates and reduced tissue damage. With over 240 total citations, Eslami’s work is shaping the future of robot-assisted retinal surgery, offering transformative solutions for surgeons and patients alike.
Research Focus
Key Achievements
Top Papers
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- 36DOF Needle Pose Estimation for Robot-Assisted Vitreoretinal Surgery27 citations · 2019
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- 7Surgical tool detection and tracking in retinal microsurgery13 citations · 2015
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- 10Intraoperative OCT Guided Robotic Sub-retinal Surgery2 citations · 2017