A three-dimensional multi-modal foundation model for optical coherence tomography

Zixuan Liu, Sheng Wang(University of Washington), Catherine A. Cukras(Roche (Switzerland)), Addie Woicik, Hanwen Xu(University of Washington), Linda G. Shapiro(University of Washington), Miao Zhang(Xinjiang University), Yue Wu(University of Washington), Aaron Lee(Washington University in St. Louis), Verena Steffen, Cecilia S. Lee(Washington University in St. Louis), Marian Blazes(University of Washington)
Nature Biomedical Engineering
April 24, 2026
10.1038/s41551-026-01662-2
Cited by 1

Related Papers

A whole-slide foundation model for digital pathology from real-world data
|Nature|2024|761
Deep-learning based, automated segmentation of macular edema in optical coherence tomography
|Biomedical Optics Express|2017|351
Multicenter, Head-to-Head, Real-World Validation Study of Seven Automated Artificial Intelligence Diabetic Retinopathy Screening Systems
|Diabetes Care|2021|188
Association Between Cataract Extraction and Development of Dementia
|JAMA Internal Medicine|2021|161
Forecasting future Humphrey Visual Fields using deep learning
|PLoS ONE|2019|150