Florian Kapeller
Papers
1
Total Citations
2
H-Index
1
About
Florian Kapeller is a biomedical engineer whose research focuses on ophthalmic imaging, surgical data science, and the development of intelligent systems for anterior segment eye surgery. His most notable contribution is the creation of the PASO dataset, a multipurpose porcine anterior segment dataset that provides spectral and reconstructed optical coherence tomography (OCT) volume scans alongside surgical instrument segmentation masks. This publicly available resource, published in 2025, has already garnered 2 citations and is poised to become a foundational benchmark for training and evaluating machine learning models in ophthalmic surgical navigation and instrument tracking. Kapeller’s work bridges the gap between raw imaging data and actionable surgical insights, enabling more precise, automated analysis of anterior segment procedures. By combining high-quality OCT volumes with expert-annotated segmentation, he has advanced the field of computer-assisted intervention, offering a critical tool for researchers developing real-time guidance systems. His contributions are particularly valuable for translating porcine models into clinical applications, directly impacting the safety and efficacy of cataract and refractive surgeries.
Research Focus
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