| Artificial intelligence and deep learning in ophthalmology DSW Ting, LR Pasquale, L Peng, JP Campbell, AY Lee, R Raman, ... British Journal of Ophthalmology 103 (2), 167-175, 2019 | 1028 | 2019 |
| Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension X Liu, SC Rivera, D Moher, MJ Calvert, AK Denniston, H Ashrafian, ... The Lancet Digital Health 2 (10), e537-e548, 2020 | 694 | 2020 |
| Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension SC Rivera, X Liu, AW Chan, AK Denniston, MJ Calvert, H Ashrafian, ... The Lancet Digital Health 2 (10), e549-e560, 2020 | 601 | 2020 |
| Deep Learning Is Effective for Classifying Normal versus Age-Related Macular Degeneration OCT Images CS Lee, DM Baughman, AY Lee Ophthalmology Retina 1 (4), 322-327, 2017 | 578 | 2017 |
| Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration CS Lee, DM Baughman, AY Lee Ophthalmology. Retina 1 (4), 322, 2017 | 578* | 2017 |
| Genome-wide association study of advanced age-related macular degeneration identifies a role of the hepatic lipase gene (LIPC) BM Neale, J Fagerness, R Reynolds, L Sobrin, M Parker, S Raychaudhuri, ... Proceedings of the National Academy of Sciences 107 (16), 7395-7400, 2010 | 495 | 2010 |
| Deep-learning based, automated segmentation of macular edema in optical coherence tomography CS Lee, AJ Tyring, NP Deruyter, Y Wu, A Rokem, AY Lee Biomedical optics express 8 (7), 3440-3448, 2017 | 340 | 2017 |
| Common variants near FRK/COL10A1 and VEGFA are associated with advanced age-related macular degeneration Y Yu, TR Bhangale, J Fagerness, S Ripke, G Thorleifsson, PL Tan, ... Human molecular genetics 20 (18), 3699-3709, 2011 | 296 | 2011 |
| HLA-B27 and human β2-microglobulin affect the gut microbiota of transgenic rats P Lin, M Bach, M Asquith, AY Lee, L Akileswaran, P Stauffer, S Davin, ... PloS one 9 (8), e105684, 2014 | 290 | 2014 |
| Real-world outcomes in patients with neovascular age-related macular degeneration treated with intravitreal vascular endothelial growth factor inhibitors H Mehta, A Tufail, V Daien, AY Lee, V Nguyen, M Ozturk, D Barthelmes, ... Progress in retinal and eye research 65, 127-146, 2018 | 239 | 2018 |
| Automated diabetic retinopathy image assessment software: diagnostic accuracy and cost-effectiveness compared with human graders A Tufail, C Rudisill, C Egan, VV Kapetanakis, S Salas-Vega, CG Owen, ... Ophthalmology 124 (3), 343-351, 2017 | 238 | 2017 |
| Automated diabetic retinopathy image assessment software: diagnostic accuracy and cost-effectiveness compared with human graders A Tufail, C Rudisill, C Egan, VV Kapetanakis, S Salas-Vega, CG Owen, ... Ophthalmology 124 (3), 343-351, 2017 | 238 | 2017 |
| Paucibacterial microbiome and resident DNA virome of the healthy conjunctiva T Doan, L Akileswaran, D Andersen, B Johnson, N Ko, A Shrestha, ... Investigative ophthalmology & visual science 57 (13), 5116-5126, 2016 | 201 | 2016 |
| Pharmacogenetics of complement factor H (Y402H) and treatment of exudative age-related macular degeneration with ranibizumab AY Lee, AK Raya, SM Kymes, A Shiels, MA Brantley British Journal of Ophthalmology 93 (5), 610-613, 2009 | 196 | 2009 |
| Clinical applications of continual learning machine learning CS Lee, AY Lee The Lancet Digital Health 2 (6), e279-e281, 2020 | 166 | 2020 |
| Associations between recent and established ophthalmic conditions and risk of Alzheimer's disease CS Lee, EB Larson, LE Gibbons, AY Lee, SM McCurry, JD Bowen, ... Alzheimer's & Dementia 15 (1), 34-41, 2019 | 128 | 2019 |
| An observational study to assess if automated diabetic retinopathy image assessment software can replace one or more steps of manual imaging grading and to determine their cost … A Tufail, VV Kapetanakis, S Salas-Vega, C Egan, C Rudisill, CG Owen, ... Health Technology Assessment 20 (92), 1-72, 2016 | 125 | 2016 |
| Forecasting Future Humphrey Visual Fields Using Deep Learning JC Wen, CS Lee, PA Keane, S Xiao, Y Wu, A Rokem, PP Chen, AY Lee bioRxiv, 293621, 2018 | 124 | 2018 |
| Machine Learning Has Arrived! A Lee, P Taylor, J Kalpathy-Cramer, A Tufail Ophthalmology 124 (12), 1726-1728, 2017 | 124 | 2017 |
| Projection Artifact Removal Improves Visualization and Quantitation of Macular Neovascularization Imaged by Optical Coherence Tomography Angiography Q Zhang, A Zhang, CS Lee, AY Lee, KA Rezaei, L Roisman, A Miller, ... Ophthalmology Retina 1 (2), 124-136, 2017 | 114 | 2017 |
Cecilia S LeeUniversity of WashingtonEmail verificata su uw.edu
