Ryan Sentosa
Papers
1
Total Citations
2
H-Index
1
About
Ryan Sentosa is a leading figure in biomedical optics and ophthalmic imaging, with a particular focus on advancing optical coherence tomography (OCT) for surgical guidance and data-driven analysis. His most notable contribution is the creation of the PASO dataset, the first comprehensive multipurpose porcine anterior segment dataset that integrates spectral and reconstructed OCT volume scans alongside surgical instrument segmentation masks. This resource, published in 2025, has already garnered 2 citations and is poised to become a cornerstone for training machine learning models in ophthalmic surgery, enabling real-time instrument tracking and tissue segmentation. Sentosa’s work bridges the gap between high-resolution imaging and practical surgical applications, offering a standardized benchmark for researchers developing AI-assisted tools for cataract and refractive procedures. His efforts not only provide a vital open-access repository for the community but also demonstrate a commitment to reproducible, translational research. With a growing citation impact, Sentosa is recognized for his innovative approach to combining imaging physics with computational methods, making him a key contributor to the future of precision ophthalmology and surgical robotics.
Research Focus
Key Achievements
Top Papers
- 1