Katharina Dettelbacher
Papers
2
Total Citations
3
H-Index
1
About
Katharina Dettelbacher is a rising researcher at the forefront of ophthalmic imaging and surgical data science, with a focus on advancing cataract surgery through optical coherence tomography (OCT). Her work centers on developing high-resolution, real-time visualization techniques and creating essential datasets for surgical AI. In her landmark 2024 study, Dettelbacher investigated the capabilities of high-speed swept-source OCT (SS-OCT) integrated into a surgical microscope, successfully visualizing each phase of cataract surgery in ex vivo porcine eyes—a breakthrough that promises to enhance surgical precision and training. Building on this, she introduced the PASO dataset in 2025, a multipurpose porcine anterior segment collection featuring spectral and reconstructed OCT volume scans alongside surgical instrument segmentation masks. This resource is already accruing citations (2) for its potential to train machine learning models for automated surgical analysis. Though early in her career, Dettelbacher’s contributions are laying the groundwork for smarter, data-driven ophthalmic surgery, bridging the gap between advanced imaging and practical clinical tools.
Research Focus
Key Achievements
Top Papers
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- 2