Papers
16
Total Citations
474
H-Index
10
About
Chris P. Lohmann is a pioneering researcher at the intersection of medical robotics and ophthalmology, whose work has significantly advanced the field of robot-assisted ophthalmic surgery. His research primarily focuses on developing robotic systems to overcome the fundamental challenges of vitreoretinal and subretinal microsurgery, including surgeon hand tremor, limited visual feedback, and the extraordinary precision demands of intraocular manipulation. Lohmann's most impactful contributions center on the design and evaluation of hybrid parallel-serial robotic micromanipulators tailored for ophthalmic applications. His 2013 introduction of a compact, hand-sized surgical robot (112 citations) laid important groundwork, while his 2019 work on robotic subretinal injection systems (114 citations) represents a landmark achievement in translating this technology toward clinical use. Beyond hardware, he has made substantial contributions to intelligent surgical guidance, including virtual fixture control, haptic feedback interfaces, and deep learning-based needle localization using optical coherence tomography imaging. His research into targeted drug delivery for age-related macular degeneration and comparative studies of robot-assisted versus manual injection techniques further demonstrate his commitment to clinically meaningful outcomes. With publications spanning robotics, computer vision, and surgical innovation, Lohmann's body of work, accumulating hundreds of citations, has meaningfully shaped the trajectory of precision retinal surgery worldwide.
Research Focus
Key Achievements
Top Papers
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- 2The introduction of a new robot for assistance in ophthalmic surgery112 citations · 2013
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- 6Haptic interface for robot-assisted ophthalmic surgery27 citations · 2015
- 76DOF Needle Pose Estimation for Robot-Assisted Vitreoretinal Surgery27 citations · 2019
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