| Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav) B Kim, M Wattenberg, J Gilmer, C Cai, J Wexler, F Viegas International conference on machine learning, 2668-2677, 2018 | 1883 | 2018 |
| Underspecification presents challenges for credibility in modern machine learning A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ... Journal of Machine Learning Research 23 (226), 1-61, 2022 | 713 | 2022 |
| Using a deep learning algorithm and integrated gradients explanation to assist grading for diabetic retinopathy R Sayres, A Taly, E Rahimy, K Blumer, D Coz, N Hammel, J Krause, ... Ophthalmology 126 (4), 552-564, 2019 | 385 | 2019 |
| 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 | 362 | 2023 |
| High-resolution imaging reveals highly selective nonface clusters in the fusiform face area K Grill-Spector, R Sayres, D Ress Nature neuroscience 9 (9), 1177-1185, 2006 | 354 | 2006 |
| Mapping hV4 and ventral occipital cortex: the venous eclipse J Winawer, H Horiguchi, RA Sayres, K Amano, BA Wandell Journal of vision 10 (5), 1-1, 2010 | 262 | 2010 |
| Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program P Ruamviboonsuk, J Krause, P Chotcomwongse, R Sayres, R Raman, ... NPJ digital medicine 2 (1), 25, 2019 | 216* | 2019 |
| Relating retinotopic and object-selective responses in human lateral occipital cortex R Sayres, K Grill-Spector Journal of Neurophysiology 100 (1), 249-267, 2008 | 200 | 2008 |
| Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs S Phene, RC Dunn, N Hammel, Y Liu, J Krause, N Kitade, ... Ophthalmology 126 (12), 1627-1639, 2019 | 167 | 2019 |
| Object-selective cortex exhibits performance-independent repetition suppression R Sayres, K Grill-Spector Journal of neurophysiology 95 (2), 995-1007, 2006 | 167 | 2006 |
| Direct uncertainty prediction for medical second opinions M Raghu, K Blumer, R Sayres, Z Obermeyer, B Kleinberg, S Mullainathan, ... International Conference on Machine Learning, 5281-5290, 2019 | 137 | 2019 |
| fMRI-adaptation and category selectivity in human ventral temporal cortex: regional differences across time scales KS Weiner, R Sayres, J Vinberg, K Grill-Spector Journal of neurophysiology 103 (6), 3349-3365, 2010 | 136 | 2010 |
| Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts V Navalpakkam, LD Jentzsch, R Sayres, S Ravi, A Ahmed, A Smola Proceedings of the 22nd international conference on World Wide Web, 953-964, 2013 | 129 | 2013 |
| Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study P Ruamviboonsuk, R Tiwari, R Sayres, V Nganthavee, K Hemarat, ... The Lancet Digital Health 4 (4), e235-e244, 2022 | 109 | 2022 |
| Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices A Jain, D Way, V Gupta, Y Gao, G de Oliveira Marinho, J Hartford, ... JAMA Network Open 4 (4), e217249-e217249, 2021 | 102 | 2021 |
| Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies DF Steiner, K Nagpal, R Sayres, DJ Foote, BD Wedin, A Pearce, CJ Cai, ... JAMA Network Open 3 (11), e2023267-e2023267, 2020 | 71 | 2020 |
| Object recognition: Insights from advances in fMRI methods K Grill-Spector, R Sayres Current Directions in Psychological Science 17 (2), 73-79, 2008 | 60 | 2008 |
| Pupillary response to chromatic flicker P Drew, R Sayres, K Watanabe, S Shimojo Experimental brain research 136, 256-262, 2001 | 53 | 2001 |
| Expert Discussions Improve Comprehension of Difficult Cases in Medical Image Assessment M Schaekermann, CJ Cai, AE Huang, R Sayres Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 28 | 2020 |
| Exploring Principled Visualizations for Deep Network Attributions M Sundararajan, S Xu, A Taly, R Sayres, A Najmi | 27 | 2019 |
Kalanit Grill-SpectorStanford University在 stanford.edu 的电子邮件经过验证
