Aaron Y. Lee

According to our database, Aaron Y. Lee authored at least 8 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Zixuan Liu, Hanwen Xu, Addie Woicik, Linda G. Shapiro, Marian Blazes, Yue Wu, Cecilia S. Lee, Aaron Y. Lee, Sheng Wang

CoRR, 2024

2023

Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes.

Bjorn Kaijun Betzler, Evelyn Chee, Feng He, Cynthia Ciwei Lim, Jinyi Ho, Haslina Hamzah, Ngiap Chuan Tan, Gerald Liew, Gareth J. McKay, Ruth E. Hogg, Ian S. Young, Ching-Yu Cheng, Su Chi Lim, Aaron Y. Lee, Tien Yin Wong, Mong-Li Lee, Wynne Hsu, Gavin Siew Wei Tan, Charumathi Sabanayagam

J. Am. Medical Informatics Assoc., November, 2023

2022

A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography.

Roy Schwartz, Hagar Khalid, Sandra Liakopoulos, Yanling Ouyang, Coen de Vente, Cristina González-Gonzalo, Aaron Y. Lee, Robyn H. Guymer, Emily Y. Chew, Catherine Egan, Zhichao Wu, Himeesh Kumar, Joseph Farrington, Clara I. Sánchez, Adnan Tufail

CoRR, 2022

2021

Unsupervised cross domain learning with applications to 7 layer segmentation of OCTs.

Yue Wu, Abraham Olvera Barrios, Ryan Yanagihara, Irene Leung, Marian Blazes, Adnan Tufail, Aaron Y. Lee

CoRR, 2021

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

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

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

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