Philipp Matten

Carl Zeiss (Germany), Medical University of Vienna

Papers

4

Total Citations

16

H-Index

3

About

Philipp Matten is a pioneering researcher at the intersection of robotics, medical imaging, and ophthalmic surgery. His work centers on developing intelligent, image-guided robotic systems for vitreoretinal and cataract procedures, with a particular focus on integrating intraoperative Optical Coherence Tomography (iOCT) for real-time surgical feedback. Matten’s major contributions include the creation of an intraoperative adaptive eye model for robot-assisted vitreoretinal surgery, which provides precise anatomical data relative to surgical instruments—a critical step toward automated surgical assistance. He has also advanced uncertainty-aware visualization frameworks for supervising autonomous subretinal injections, addressing the precision challenges of treating age-related macular degeneration. Additionally, his curvature-corrected retinal registration technique aligns high-resolution preoperative OCT with intraoperative environments, enhancing surgeon perception. With over 16 citations across his most-cited works, Matten’s research is gaining recognition for its potential to improve surgical outcomes through enhanced visualization and robotic precision. His work on 4D microscope-integrated SS-OCT for cataract surgery further demonstrates his commitment to translating cutting-edge imaging into clinical practice, making him a rising figure in surgical robotics and ophthalmic innovation.

Research Focus

Key Achievements

3
H-Index
4
Papers
16
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Intraoperative adaptive eye model based on instrument-integrated OCT for robot-assisted vitreoretinal surgery
8 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Carl Zeiss (Germany), Medical University of Vienna

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago