| Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017 | 3269 | 2017 |
| Automated identification of diabetic retinopathy using deep learning R Gargeya, T Leng Ophthalmology 124 (7), 962-969, 2017 | 1366 | 2017 |
| Deep learning for identifying metastatic breast cancer D Wang, A Khosla, R Gargeya, H Irshad, AH Beck arXiv preprint arXiv:1606.05718, 2016 | 1298 | 2016 |
| Deep learning for identifying metastatic breast cancer. arXiv 2016 D Wang, A Khosla, R Gargeya, H Irshad, AH Beck, B Israel arXiv preprint arXiv:1606.05718, 0 | 78 | |
| A retrospective analysis of ketamine intravenous therapy for depression in real-world care settings LA McInnes, JJ Qian, RS Gargeya, C DeBattista, BD Heifets Journal of affective disorders 301, 486-495, 2022 | 41 | 2022 |
| Screening method for automated detection of vision-degenerative diseases from color fundus images R Gargeya US Patent App. 16/288,308, 2019 | 14 | 2019 |
| Extending World Models for Multi-Agent Reinforcement Learning in MALMÖ V Chockalingam, TT Sung, F Behbahani, R Gargeya, A Sivanantham, ... | 6 | 2018 |
| A deep learning approach for automatic identification of referral-warranted diabetic retinopathy T Leng, R Gargeya Investigative Ophthalmology & Visual Science 58 (8), 825-825, 2017 | 2 | 2017 |
| Automatic identification of referral-warranted diabetic retinopathy using deep learning on mobile phone images T Leng, M Greven, S Smith, C Ludwig, R Chang, R Gargeya Investigative ophthalmology & visual science 59 (9), 1705-1705, 2018 | 1 | 2018 |
