Shervin Dehghani
Papers
13
Total Citations
91
H-Index
5
About
Shervin Dehghani is pioneering the frontier of autonomous robotic retinal microsurgery, with a focus on subretinal injections for treating age-related macular degeneration (AMD). His research integrates intraoperative Optical Coherence Tomography (iOCT) with intelligent robotic control, enabling real-time, image-guided interventions that surpass human precision. Dehghani’s major contributions include developing “ColibriDoc,” an eye-in-hand autonomous trocar docking system (18 citations), and a novel virtual iOCT volume slicing approach for rapid instrument pose estimation (27 citations), which leverages convolutional neural networks for subretinal navigation. He has also advanced deformation-aware control and motion compensation strategies, addressing the challenge of retinal tissue movement during injection. With over 85 total citations, his work is foundational for translating robotic assistance from bench to bedside. Notably, his 2025 papers on real-time deformation-aware control and motion compensation represent the cutting edge of autonomous surgical systems, promising safer, more consistent delivery of emerging gene and stem cell therapies. Dehghani’s research is essential reading for anyone interested in the intersection of robotics, computer vision, and ophthalmic surgery.
Research Focus
Key Achievements
Top Papers
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- 2ColibriDoc: an Eye-in-Hand Autonomous Trocar Docking System18 citations · 2022
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- 4Towards Motion Compensation in Autonomous Robotic Subretinal Injections7 citations · 2025
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