| Dermatologist-level classification of skin cancer with deep neural networks A Esteva, B Kuprel, RA Novoa, J Ko, SM Swetter, HM Blau, S Thrun nature 542 (7639), 115-118, 2017 | 7896 | 2017 |
| A guide to deep learning in healthcare A Esteva, A Robicquet, B Ramsundar, V Kuleshov, M DePristo, K Chou, ... Nature medicine 25 (1), 24-29, 2019 | 1352 | 2019 |
| In silico labeling: predicting fluorescent labels in unlabeled images EM Christiansen, SJ Yang, DM Ando, A Javaherian, G Skibinski, S Lipnick, ... Cell 173 (3), 792-803. e19, 2018 | 389 | 2018 |
| 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 bmj 370, 2020 | 264 | 2020 |
| Deep learning-enabled medical computer vision A Esteva, K Chou, S Yeung, N Naik, A Madani, A Mottaghi, Y Liu, E Topol, ... npj Digital Medicine 4 (1), 1-9, 2021 | 139 | 2021 |
| Correction: Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks A Esteva, B Kuprel, RA Novoa, J Ko, SM Swetter, HM Blau, S Thrun Nature 546 (7660), 686-686, 2017 | 134 | 2017 |
| Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension SC Rivera, X Liu, AW Chan, AK Denniston, MJ Calvert Bmj 370, 2020 | 86 | 2020 |
| Two distinct scene-processing networks connecting vision and memory C Baldassano, A Esteva, L Fei-Fei, DM Beck Eneuro 3 (5), 2016 | 76 | 2016 |
| Visual scenes are categorized by function. MR Greene, C Baldassano, A Esteva, DM Beck, L Fei-Fei Journal of Experimental Psychology: General 145 (1), 82, 2016 | 71 | 2016 |
| COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization A Esteva, A Kale, R Paulus, K Hashimoto, W Yin, D Radev, R Socher NPJ digital medicine 4 (1), 1-9, 2021 | 65* | 2021 |
| A mountable toilet system for personalized health monitoring via the analysis of excreta S Park, DD Won, BJ Lee, D Escobedo, A Esteva, A Aalipour, TJ Ge, ... Nature biomedical engineering 4 (6), 624-635, 2020 | 63 | 2020 |
| Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains N Naik, A Madani, A Esteva, NS Keskar, MF Press, D Ruderman, DB Agus, ... Nature communications 11 (1), 1-8, 2020 | 48 | 2020 |
| Deep networks for early stage skin disease and skin cancer classification. Project Report A Esteva, B Kuprel, S Thrun Stanford university, 2015 | 35 | 2015 |
| Melanoma early detection: big data, bigger picture T Petrie, R Samatham, AM Witkowski, A Esteva, SA Leachman Journal of Investigative Dermatology 139 (1), 25-30, 2019 | 32 | 2019 |
| Vision-based classification of developmental disorders using eye-movements G Pusiol, A Esteva, SS Hall, M Frank, A Milstein, L Fei-Fei International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 30 | 2016 |
| Skin cancer detection and tracking using data synthesis and deep learning Y Li, A Esteva, B Kuprel, R Novoa, J Ko, S Thrun arXiv preprint arXiv:1612.01074, 2016 | 29 | 2016 |
| Can skin cancer diagnosis be transformed by AI? A Esteva, E Topol The Lancet 394 (10211), 1795, 2019 | 16 | 2019 |
| Best practices for authors of healthcare-related artificial intelligence manuscripts S Kakarmath, A Esteva, R Arnaout, H Harvey, S Kumar, E Muse, F Dong, ... NPJ digital medicine 3 (1), 1-3, 2020 | 14 | 2020 |
| A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI V Sounderajah, H Ashrafian, S Rose, NH Shah, M Ghassemi, R Golub, ... Nature medicine 27 (10), 1663-1665, 2021 | 9 | 2021 |
| Two distinct scene processing networks connecting vision and memory C Baldassano, A Esteva, D Beck, L Fei-Fei Journal of Vision 15 (12), 571-571, 2015 | 6 | 2015 |
Sebastian ThrunStanfordVerified email at stanford.edu
