| Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning R Poplin, AV Varadarajan, K Blumer, Y Liu, MV McConnell, GS Corrado, ... Nature Biomedical Engineering 2 (3), 158, 2018 | 1697 | 2018 |
| Deep learning in ophthalmology: The technical and clinical considerations DSW Ting, L Peng, AV Varadarajan, PA Keane, P Burlina, MF Chiang, ... Progress in retinal and eye research, 2019 | 462 | 2019 |
| Detection of anaemia from retinal fundus images via deep learning A Mitani, A Huang, S Venugopalan, GS Corrado, L Peng, DR Webster, ... Nature Biomedical Engineering 4 (1), 18-27, 2020 | 196 | 2020 |
| Predicting the risk of developing diabetic retinopathy using deep learning A Bora, S Balasubramanian, B Babenko, S Virmani, S Venugopalan, ... The Lancet Digital Health, 2020 | 194 | 2020 |
| Deep learning for predicting refractive error from retinal fundus images AV Varadarajan, R Poplin, K Blumer, C Angermueller, J Ledsam, ... Investigative Ophthalmology & Visual Science 59 (7), 2861-2868, 2018 | 180 | 2018 |
| Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning AV Varadarajan, P Bavishi, P Ruamviboonsuk, P Chotcomwongse, ... Nature Communications 11 (1), 1-8, 2020 | 131 | 2020 |
| Detection of signs of disease in external photographs of the eyes via deep learning B Babenko, A Mitani, I Traynis, N Kitade, P Singh, AY Maa, J Cuadros, ... Nature Biomedical Engineering, 1-14, 2022 | 62 | 2022 |
| Tools for simulating evolution of aligned genomic regions with integrated parameter estimation A Varadarajan, RK Bradley, IH Holmes Genome biology 9 (10), R147, 2008 | 33 | 2008 |
| Scientific Discovery by Generating Counterfactuals Using Image Translation A Narayanaswamy, S Venugopalan, DR Webster, L Peng, GS Corrado, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 28 | 2020 |
| Regression with Label Differential Privacy B Ghazi, P Kamath, R Kumar, E Leeman, P Manurangsi, A Varadarajan, ... arXiv preprint arXiv:2212.06074, 2022 | 16 | 2022 |
| Novel Retinal Imaging in Assessment of Cardiovascular Risk Factors and Systemic Vascular Diseases DSW Ting, L Peng, AV Varadarajan, TYA Liu Diabetic Retinopathy and Cardiovascular Disease 27, 106-118, 2019 | 14 | 2019 |
| Private Ad Modeling with DP-SGD C Denison, B Ghazi, P Kamath, R Kumar, P Manurangsi, KG Narra, ... arXiv preprint arXiv:2211.11896, 2022 | 8 | 2022 |
| Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning B Babenko, S Balasubramanian, KE Blumer, GS Corrado, L Peng, ... arXiv preprint arXiv:1904.05478, 2019 | 6 | 2019 |
| Optimal unbiased randomizers for regression with label differential privacy A Badanidiyuru, B Ghazi, P Kamath, R Kumar, E Leeman, P Manurangsi, ... arXiv preprint arXiv:2312.05659, 2023 | 3 | 2023 |
| Data structures for limited oblivious execution of programs while preserving locality of reference AV Varadarajan, R Venkatesan, CP Rangan Proceedings of the 2007 ACM workshop on Digital Rights Management, 63-69, 2007 | 1 | 2007 |
| Processing fundus images using machine learning models LHY Peng, DR Webster, PC Nelson, V Gulshan, MA Coram, MC Stumpe, ... US Patent App. 16/325,580, 2019 | | 2019 |