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 | 2243 | 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 | 828 | 2022 |
Toward expert-level medical question answering with large language models K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, M Amin, L Hou, K Clark, ... Nature Medicine, 1-8, 2025 | 731 | 2025 |
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 | 427 | 2019 |
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 | 351 | 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 | 270 | 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 | 236 | 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 | 204 | 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 | 188 | 2019 |
Object-selective cortex exhibits performance-independent repetition suppression R Sayres, K Grill-Spector Journal of neurophysiology 95 (2), 995-1007, 2006 | 171 | 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 | 161 | 2019 |
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 | 148 | 2022 |
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 | 145 | 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 | 132 | 2013 |
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 | 131 | 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, 2020 | 83 | 2020 |
Object recognition: Insights from advances in fMRI methods K Grill-Spector, R Sayres Current Directions in Psychological Science 17 (2), 73-79, 2008 | 63 | 2008 |
Pupillary response to chromatic flicker P Drew, R Sayres, K Watanabe, S Shimojo Experimental brain research 136, 256-262, 2001 | 53 | 2001 |
A toolbox for surfacing health equity harms and biases in large language models SR Pfohl, H Cole-Lewis, R Sayres, D Neal, M Asiedu, A Dieng, ... Nature Medicine 30 (12), 3590-3600, 2024 | 30 | 2024 |
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 | 29 | 2020 |