Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations. - Aaron Y. Lee; Cecilia S. Lee; Russell N. Van Gelder (BMC Bioinform., 2016)

Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration. - Cecilia S. Lee; Doug M. Baughman; Aaron Y. Lee (CoRR, 2016)

Generating retinal flow maps from structural optical coherence tomography with artificial intelligence. - Cecilia S. Lee; Ariel J. Tyring; Yue Wu; Sa Xiao; Ariel S. Rokem; Nicolaas P. Deruyter; Qinqin Zhang; Adnan Tufail; Ruikang K. Wang; Aaron Y. Lee (CoRR, 2018)

Forecasting Future Humphrey Visual Fields Using Deep Learning. - Joanne C. Wen; Cecilia S. Lee; Pearse A. Keane; Sa Xiao; Yue Wu; Ariel Rokem; Philip P. Chen; Aaron Y. Lee (CoRR, 2018)

Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases. - Meng Wang 038; Tian Lin; Aidi Lin; Kai Yu 009; Yuanyuan Peng; Lianyu Wang; Cheng Chen 013; Ke Zou; Huiyu Liang; Man Chen; Xue Yao; Meiqin Zhang; et al. (CoRR, 2024)

OCTCube: A 3D foundation model for optical coherence tomography that improves cross-dataset, cross-disease, cross-device and cross-modality analysis. - Zixuan Liu 001; Hanwen Xu; Addie Woicik; Linda G. Shapiro; Marian Blazes; Yue Wu; Cecilia S. Lee; Aaron Y. Lee; Sheng Wang 012 (CoRR, 2024)