| 3d object representations for fine-grained categorization J Krause, M Stark, J Deng, L Fei-Fei Proceedings of the IEEE international conference on computer vision …, 2013 | 3794 | 2013 |
| 3D object representations for fine-grained categorization: supplementary material J Krause, M Stark, J Deng, L Fei-Fei IJCV 1, 2004 | 2 | 2004 |
| A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study B Babenko, I Traynis, C Chen, P Singh, A Uddin, J Cuadros, LP Daskivich, ... The Lancet Digital Health 5 (5), e257-e264, 2023 | 13 | 2023 |
| A hierarchical approach for generating descriptive image paragraphs J Krause, J Johnson, R Krishna, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 438 | 2017 |
| Assisted reads for diabetic retinopathy using a deep learning algorithm and integrated gradient explanation R Sayres, A Taly, E Rahimy, K Blumer, D Coz, N Hammel, J Krause, ... Investigative Ophthalmology & Visual Science 59 (9), 1227-1227, 2018 | 2 | 2018 |
| Capabilities of gemini models in medicine K Saab, T Tu, WH Weng, R Tanno, D Stutz, E Wulczyn, F Zhang, ... arXiv preprint arXiv:2404.18416, 2024 | 17 | 2024 |
| Challenges in evaluating clinical deployments of deep learning assisted diagnostics for diabetic retinopathy screening G Wolff, R Sayres, V Gulshan, K Widner, J Krause, D Jadeja, ... Investigative Ophthalmology & Visual Science 61 (7), 2045-2045, 2020 | 3 | 2020 |
| Characterizing Social Influence in Google Buzz D Akagi, R Chandy, A Chong, J Krause, M Lagang 2011-08-19]. http://www. Cs. Caltech. Edu/Courses/Cs145/Final/Socialnets, 0 | 1 | |
| Collecting a large-scale dataset of fine-grained cars J Krause, J Deng, M Stark, L Fei-Fei | 117 | 2013 |
| CVPR. 2013 D Jia, J Krause, FF Li Fine-Grained Crowdsourcing for Fine-Grained Recognition, 580-587, 0 | 1 | |
| Deep Learning and Glaucoma Specialists The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs J Krause, N Kitade, M Schaekermann, R Sayres, DJ Wu, FA Medeiros, ... | | |
| 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 |
| Deep Learning for Identifying Retinal Vein Occlusion Features in Fundus Images A Bora, J Krause, A Misra, C Dunn, A Zaidi, O Kuruvilla, J Carlson, ... Investigative Ophthalmology & Visual Science 60 (9), 1448-1448, 2019 | 1 | 2019 |
| Deep learning to assess glaucoma risk and associated features in fundus images S Phene, R Carter Dunn, N Hammel, Y Liu, J Krause, N Kitade arXiv preprint arXiv:1812.08911, 2019 | 5 | 2019 |
| 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 | 212* | 2019 |
| Demo abstract, the next big one: Detecting earthquakes and other rare events from community-based sensors M Faulkner, M Olson, R Chandy, J Krause, KM Chandy, A Krause Proceedings of the 10th ACM/IEEE International Conference on Information …, 2011 | 5 | 2011 |
| Discovering novel systemic biomarkers in external eye photos B Babenko, I Traynis, C Chen, P Singh, A Uddin, J Cuadros, LP Daskivich, ... | | 2023 |
| Discovering novel systemic biomarkers in photos of the external eye B Babenko, I Traynis, C Chen, P Singh, A Uddin, J Cuadros, LP Daskivich, ... arXiv preprint arXiv:2207.08998, 2022 | | 2022 |
| Domain-specific optimization and diverse evaluation of self-supervised models for histopathology J Lai, F Ahmed, S Vijay, T Jaroensri, J Loo, S Vyawahare, S Agarwal, ... arXiv preprint arXiv:2310.13259, 2023 | 6 | 2023 |
| Finding semantic parts in images H Jin, J Krause, J Yang US Patent 9,940,577, 2018 | 5 | 2018 |
