| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 1197 | 2023 |
| A deep learning system for differential diagnosis of skin diseases Y Liu, A Jain, C Eng, DH Way, K Lee, P Bui, K Kanada, ... Nature medicine 26 (6), 900-908, 2020 | 588 | 2020 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 237 | 2024 |
| Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions AG Roy, J Ren, S Azizi, A Loh, V Natarajan, B Mustafa, N Pawlowski, ... Medical Image Analysis, 2021 | 110 | 2021 |
| Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices JAMA Network Open, 2021 | 107 | 2021 |
| DermGAN: Synthetic Generation of Clinical Skin Images with Pathology A Ghorbani, V Natarajan, D Coz, Y Liu NeuIPS ML4H workshop, 2019 | 107 | 2019 |
| 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 | 98 | 2023 |
| Supervised transfer learning at scale for medical imaging B Mustafa, A Loh, J Freyberg, P MacWilliams, M Wilson, SM McKinney, ... arXiv preprint arXiv:2101.05913, 2021 | 73 | 2021 |
| 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 | 62 | 2022 |
| Maintaining fairness across distribution shift: do we have viable solutions for real-world applications J Schrouff, N Harris, O Koyejo, I Alabdulmohsin, E Schnider, ... arXiv preprint arXiv:2202.01034, 2022 | 40 | 2022 |
| Diagnosing failures of fairness transfer across distribution shift in real-world medical settings J Schrouff, N Harris, S Koyejo, IM Alabdulmohsin, E Schnider, ... Advances in Neural Information Processing Systems 35, 19304-19318, 2022 | 39 | 2022 |
| Validation of a nonrigid registration error detection algorithm using clinical MRI brain data RD Datteri, Y Liu, PF D'Haese, BM Dawant IEEE transactions on medical imaging 34 (1), 86-96, 2014 | 39 | 2014 |
| Artificial Intelligence Approach in Melanoma PT Clara Curiel-Lewandrowski, Roberto A. Novoa, Elizabeth Berry, M. Emre ... | 36* | 2019 |
| Generation of human thalamus atlases from 7 T data and application to intrathalamic nuclei segmentation in clinical 3 T T1-weighted images Y Liu, PF D'Haese, AT Newton, BM Dawant Magnetic Resonance Imaging, 2019 | 35 | 2019 |
| Detecting shortcut learning for fair medical AI using shortcut testing A Brown, N Tomasev, J Freyberg, Y Liu, A Karthikesalingam, J Schrouff Nature communications 14 (1), 4314, 2023 | 30 | 2023 |
| Multisurgeon, multisite validation of a trajectory planning algorithm for deep brain stimulation procedures Y Liu, PE Konrad, JS Neimat, SB Tatter, H Yu, RD Datteri, BA Landman, ... IEEE Transactions on Biomedical Engineering 61 (9), 2479-2487, 2014 | 30 | 2014 |
| Automatic localization of the anterior commissure, posterior commissure, and midsagittal plane in MRI scans using regression forests Y Liu, BM Dawant IEEE journal of biomedical and health informatics 19 (4), 1362-1374, 2015 | 26 | 2015 |
| Virtual neurosurgical education for image-guided deep brain stimulation neurosurgery Y Liu 2014 International Conference on Audio, Language and Image Processing, 623-626, 2014 | 25 | 2014 |
| A surgeon specific automatic path planning algorithm for deep brain stimulation Y Liu, BM Dawant, S Pallavaram, JS Neimat, PE Konrad, PF D'Haese, ... Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and …, 2012 | 18 | 2012 |
| Addressing the real-world class imbalance problem in dermatology WH Weng, J Deaton, V Natarajan, GF Elsayed, Y Liu Machine learning for health, 415-429, 2020 | 16 | 2020 |
Vivek NatarajanResearch Lead, Google Health AI在 google.com 的电子邮件经过验证
