Shervin Dehghani

Johns Hopkins University, Technical University of Munich

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

5
H-Index
13
Papers
91
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Navigation Autonomy for Subretinal Injection via Intelligent Real-Time Virtual iOCT Volume Slicing
27 citations · 2023
📈 Most Prolific Year: 2024 (6 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Johns Hopkins University, Technical University of Munich

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago