| Large language models encode clinical knowledge K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... Nature 620 (7972), 172-180, 2023 | 616 | 2023 |
| Big self-supervised models advance medical image classification S Azizi, B Mustafa, F Ryan, Z Beaver, J Freyberg, J Deaton, A Loh, ... | 486 | 2021 |
| Large language models encode clinical knowledge K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... Nature, 2022 | 331 | 2022 |
| Contextual residual aggregation for ultra high-resolution image inpainting Z Yi, Q Tang, S Azizi, D Jang, Z Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 328 | 2020 |
| Towards expert-level medical question answering with large language models K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, L Hou, K Clark, S Pfohl, ... arXiv preprint arXiv:2305.09617, 2023 | 258 | 2023 |
| Synthetic data from diffusion models improves imagenet classification S Azizi, S Kornblith, C Saharia, M Norouzi, DJ Fleet arXiv preprint arXiv:2304.08466, 2023 | 157 | 2023 |
| Towards generalist biomedical ai T Tu, S Azizi, D Driess, M Schaekermann, M Amin, PC Chang, A Carroll, ... NEJM AI 1 (3), AIoa2300138, 2024 | 99 | 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 Karthikesalingam, B Lakshminarayanan, ... Medical Image Analysis, 2021 | 96 | 2021 |
| Deep recurrent neural networks for prostate cancer detection: analysis of temporal enhanced ultrasound S Azizi, S Bayat, P Yan, A Tahmasebi, JT Kwak, S Xu, B Turkbey, ... IEEE transactions on medical imaging 37 (12), 2695-2703, 2018 | 85 | 2018 |
| Robust and efficient medical imaging with self-supervision S Azizi, L Culp, J Freyberg, B Mustafa, S Baur, S Kornblith, T Chen, ... Nature Biomedical Engineering, 1-24, 2023 | 56 | 2023 |
| Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study S Azizi, F Imani, S Ghavidel, A Tahmasebi, JT Kwak, S Xu, B Turkbey, ... International journal of computer assisted radiology and surgery 11 (6), 947-956, 2016 | 54 | 2016 |
| 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, 1-24, 2023 | 51 | 2023 |
| Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations S Azizi, S Bayat, P Yan, A Tahmasebi, G Nir, JT Kwak, S Xu, S Wilson, ... International journal of computer assisted radiology and surgery 12 (8 …, 2017 | 51 | 2017 |
| Ultrasound-based detection of prostate cancer using automatic feature selection with deep belief networks S Azizi, F Imani, B Zhuang, A Tahmasebi, JT Kwak, S Xu, N Uniyal, ... International conference on medical image computing and computer-assisted …, 2015 | 41 | 2015 |
| Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection S Azizi, P Mousavi, P Yan, A Tahmasebi, JT Kwak, S Xu, B Turkbey, ... International journal of computer assisted radiology and surgery 12, 1111-1121, 2017 | 38 | 2017 |
| A kernelized manifold mapping to diminish the effect of adversarial perturbations SA Taghanaki, K Abhishek, S Azizi, G Hamarneh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 37 | 2019 |
| Towards conversational diagnostic ai T Tu, A Palepu, M Schaekermann, K Saab, J Freyberg, R Tanno, A Wang, ... arXiv preprint arXiv:2401.05654, 2024 | 25 | 2024 |
| Investigation of physical phenomena underlying temporal-enhanced ultrasound as a new diagnostic imaging technique: theory and simulations S Bayat, S Azizi, MI Daoud, G Nir, F Imani, CD Gerardo, P Yan, ... IEEE transactions on ultrasonics, ferroelectrics, and frequency control 65 …, 2017 | 24 | 2017 |
| Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies A Sedghi, M Pesteie, G Javadi, S Azizi, P Yan, JT Kwak, S Xu, B Turkbey, ... International journal of computer assisted radiology and surgery 14, 1009-1016, 2019 | 21 | 2019 |
| Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians K Dvijotham, J Winkens, M Barsbey, S Ghaisas, R Stanforth, N Pawlowski, ... Nature Medicine 29 (7), 1814-1820, 2023 | 20 | 2023 |
Alan KarthikesalingamGoogle HealthVerified email at google.com
