How Artificial Intelligence Can Transform Randomized Controlled Trials

od Lee, Cecilia S., Lee, Aaron Y.
Wydane w Transl Vis Sci Technol (2020)

Applications of continual learning machine learning in clinical practice

od Lee, Cecilia S., Lee, Aaron Y.
Wydane w Lancet Digit Health (2020)

Using Deep Learning Models to Characterize Major Retinal Features on Color Fundus Photographs

od Lee, Cecilia S., Yanagihara, Ryan T., Lee, Aaron Y.
Wydane w Ophthalmology (2020)

Novel Low-Shot Deep Learning Approach for Retinal Image Classification with Few Examples

od Hunt, Matthew S., Kihara, Yuka, Lee, Aaron Y.
Wydane w JAMA Ophthalmol (2020)

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

od Lee, Cecilia S., Baughman, Doug M., Lee, Aaron Y.
Wydane w Ophthalmol Retina (2017)

Finding glaucoma in color fundus photographs using deep learning

od Bojikian, Karine D., Lee, Cecilia S., Lee, Aaron Y.
Wydane w JAMA Ophthalmol (2019)

Big Data Requirements for Artificial Intelligence

od Wang, Sophia Y, Pershing, Suzann, Lee, Aaron Y.
Wydane w Curr Opin Ophthalmol (2020)

Data-driven, feature agnostic deep learning is superior to retinal nerve fiber layer thickness for the diagnosis of glaucoma

od Petersen, Christine A., Mehta, Parmita, Lee, Aaron Y.
Wydane w JAMA Ophthalmol (2020)

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

od Lee, Aaron Y., Lee, Cecilia S., Van Gelder, Russell N.
Wydane w BMC Bioinformatics (2016)

An Ophthalmologist’s Guide to Deciphering Studies in Artificial Intelligence

od TING, Daniel SW, Lee, Aaron Y, WONG, Tien Y
Wydane w Ophthalmology (2019)

Changes in performance of glaucoma surgeries 1994-2017 based on claims and payment data for US Medicare beneficiaries

od Boland, Michael V., Corcoran, Kevin J., Lee, Aaron Y.
Wydane w Ophthalmol Glaucoma (2021)

Use of Mechanical Turk as a MapReduce Framework for Macular OCT Segmentation

od Lee, Aaron Y., Lee, Cecilia S., Keane, Pearse A., Tufail, Adnan
Wydane w J Ophthalmol (2016)

Predictors of narrow angle detection rate—a longitudinal study of Massachusetts residents over 1.7 million person years

od Lee, Cecilia S., Lee, Michael L., Yanagihara, Ryan T., Lee, Aaron Y.
Wydane w Eye (Lond) (2020)

Evaluating Access to Eye Care in the Contiguous United States by Calculated Driving Time in the United States Medicare Population

od Lee, Cecilia S., Morris, Aneesha, Van Gelder, Russell N., Lee, Aaron Y.
Wydane w Ophthalmology (2016)

Methodological Challenges of Deep Learning in Optical Coherence Tomography for Retinal Diseases: A Review

od Yanagihara, Ryan T., Lee, Cecilia S., Ting, Daniel Shu Wei, Lee, Aaron Y.
Wydane w Transl Vis Sci Technol (2020)

Fundus autofluorescence features in the inflammatory maculopathies

od Lee, Cecilia S, Lee, Aaron Y, Forooghian, Farzin, Bergstrom, Chris S, Yan, Jiong, Yeh, Steven
Wydane 2014

Validation of the Total Visual Acuity Extraction Algorithm (TOVA) for Automated Extraction of Visual Acuity Data From Free Text, Unstructured Clinical Records

od Baughman, Douglas M., Su, Grace L., Tsui, Irena, Lee, Cecilia S., Lee, Aaron Y.
Wydane w Transl Vis Sci Technol (2017)

Disparities in delivery of ophthalmic care; An exploration of public Medicare data

od Lee, Cecilia S., Su, Grace L., Baughman, Douglas M., Wu, Yue, Lee, Aaron Y.
Wydane w PLoS One (2017)

Assessing the Clinical Utility of Expanded Macular OCTs Using Machine Learning

od Lin, Andrew C., Lee, Cecilia S., Blazes, Marian, Lee, Aaron Y., Gorin, Michael B.
Wydane w Transl Vis Sci Technol (2021)

Pharmacogenetics of Complement Factor H (Y402H) and treatment of exudative age-related macular degeneration with ranibizumab

od Lee, Aaron Y., Raya, Amanda K., Kymes, Steven M., Shiels, Alan, Brantley, Milam A.
Wydane 2008