| Predicting the risk of developing diabetic retinopathy using deep learning A Bora, S Balasubramanian, B Babenko, S Virmani, S Venugopalan, ... The Lancet Digital Health 3 (1), e10-e19, 2021 | 159 | 2021 |
| 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), 130, 2020 | 106 | 2020 |
| Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging S Azizi, L Culp, J Freyberg, B Mustafa, S Baur, S Kornblith, T Chen, ... Nature Biomedical Engineering 7 (6), 756-779, 2023 | 56 | 2023 |
| Robust and efficient medical imaging with self-supervision S Azizi, L Culp, J Freyberg, B Mustafa, S Baur, S Kornblith, T Chen, ... arXiv preprint arXiv:2205.09723, 2022 | 54 | 2022 |
| Scientific discovery by generating counterfactuals using image translation A Narayanaswamy, S Venugopalan, DR Webster, L Peng, GS Corrado, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 25 | 2020 |
| Deep learning to detect OCT-derived diabetic macular edema from color retinal photographs: a multicenter validation study X Liu, TK Ali, P Singh, A Shah, SM McKinney, P Ruamviboonsuk, ... Ophthalmology Retina 6 (5), 398-410, 2022 | 22 | 2022 |
| Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. Nat Commun. 2020; 11 (1): 130 AV Varadarajan, P Bavishi, P Ruamviboonsuk, P Chotcomwongse, ... JAMA Ophthalmol 137, 288-292, 2019 | 6 | 2019 |
| Deep learning to detect optical coherence tomography-derived diabetic macular edema from retinal photographs: a multicenter validation study X Liu, TK Ali, P Singh, A Shah, SM McKinney, P Ruamviboonsuk, ... Ophthalmology Retina, 2022 | 4 | 2022 |
| Validation of a deep learning system for the detection of diabetic retinopathy in Indigenous Australians MA Chia, F Hersch, R Sayres, P Bavishi, R Tiwari, PA Keane, AW Turner British Journal of Ophthalmology 108 (2), 268-273, 2024 | 2 | 2024 |
| Processing fundus camera images using machine learning models trained using other modalities LHY Peng, DR Webster, AV Varadarajan, P Bavishi US Patent 11,894,125, 2024 | | 2024 |
| Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study A Bora, R Tiwari, P Bavishi, S Virmani, R Huang, I Traynis, GS Corrado, ... Translational Vision Science & Technology 12 (12), 11-11, 2023 | | 2023 |
| A Deep Learning Model to Detect Center-Involved Diabetic Macular Edema from Fundus Images X Liu, P Singh, P Ruamviboonsuk, P Chotcomwongse, R Chopra, ... Investigative Ophthalmology & Visual Science 61 (7), 1619-1619, 2020 | | 2020 |
