Peiyao Zhang
Papers
17
Total Citations
144
H-Index
7
About
Peiyao Zhang is an emerging researcher at the forefront of robotic-assisted ophthalmic surgery, specializing in autonomous retinal microsurgery, intraoperative optical coherence tomography (iOCT) guidance, and deep learning-based surgical navigation. His work addresses some of the most demanding challenges in modern ophthalmology — including surgeon hand tremor, microscale depth perception, and the absence of tactile feedback — by developing intelligent robotic systems capable of performing extraordinarily precise interventions in the human eye. Zhang's most influential contribution, "Robotic Navigation Autonomy for Subretinal Injection via Intelligent Real-Time Virtual iOCT Volume Slicing" (2023, 27 citations), introduced a CNN-driven volume slicing framework that enables real-time instrument pose estimation during delicate subretinal injections. Complementary work on autonomous needle navigation, deep learning-based registration, and deformation-aware robotic control has collectively accumulated over 100 citations, underscoring his rapid and substantial impact on the field. His research spans ex vivo porcine eye validation, RGB-D imaging, motion compensation, and retinal vein cannulation — demonstrating exceptional breadth. For students and clinicians alike, Zhang's research represents a compelling vision of safer, more precise retinal surgery through intelligent automation, positioning him as a significant voice in the future of surgical robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Autonomous Needle Navigation in Subretinal Injections via iOCT19 citations · 2024
- 3Towards Autonomous Retinal Microsurgery Using RGB-D Images17 citations · 2024
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- 8Towards Motion Compensation in Autonomous Robotic Subretinal Injections7 citations · 2025
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