OCTCube: A 3D foundation model for optical coherence tomography that improves cross-dataset, cross-disease, cross-device and cross-modality analysis.

Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.

Forecasting Future Humphrey Visual Fields Using Deep Learning.

Generating retinal flow maps from structural optical coherence tomography with artificial intelligence.

Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration.

Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations.