Y. Kihara

Multi-omic spatial effects on high-resolution AI-derived retinal thickness

M. Bahlo, K. Williams, S. Farashi, 2023, medRxiv.

Policy-Driven, Multimodal Deep Learning for Predicting Visual Fields from the Optic Disc and Optical Coherence Tomography Imaging.

Aaron Y. Lee, G. Montesano, D. Crabb, 2022, Ophthalmology.

Exploring a Structural Basis for Delayed Rod-Mediated Dark Adaptation in Age-Related Macular Degeneration Via Deep Learning

Aaron Y. Lee, Cecilia S Lee, Cecilia S. Lee, 2020, Translational vision science & technology.

Estimating Retinal Sensitivity Using Optical Coherence Tomography With Deep-Learning Algorithms in Macular Telangiectasia Type 2

Aaron Y. Lee, Cecilia S Lee, Cecilia S. Lee, 2019, JAMA network open.

Quantification and Predictors of OCT-Based Macular Curvature and Dome-Shaped Configuration: Results From the UK Biobank

K. Williams, A. Warwick, C. Egan, 2022, Investigative ophthalmology & visual science.

In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-region Segmentation

Tsuhan Chen, Yuka Kihara, Matvey Soloviev, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Detection of Nonexudative Macular Neovascularization on Structural OCT Images Using Vision Transformers

Aaron Y. Lee, P. Rosenfeld, W. Feuer, 2022, Ophthalmology science.