| Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs V Gulshan, L Peng, M Coram, MC Stumpe, D Wu, A Narayanaswamy, ... JAMA (2016), 2016 | 6222 | 2016 |
| Multiple kernels for object detection A Vedaldi, V Gulshan, M Varma, A Zisserman ICCV (International Conference on Computer Vision) 2009, 2009 | 1037 | 2009 |
| Geodesic star convexity for interactive image segmentation V Gulshan, C Rother, A Criminisi, A Blake, A Zisserman CVPR (Conference on Computer Vision and Pattern Recognition) 2010, 2010 | 491 | 2010 |
| Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy J Krause, V Gulshan, E Rahimy, P Karth, K Widner, GS Corrado, L Peng, ... Ophthalmology, 2018 | 445 | 2018 |
| Who said what: Modeling individual labelers improves classification M Guan, V Gulshan, A Dai, G Hinton Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 211 | 2018 |
| Performance of a deep-learning algorithm vs manual grading for detecting diabetic retinopathy in India V Gulshan, RP Rajan, K Widner, D Wu, P Wubbels, T Rhodes, ... JAMA ophthalmology 137 (9), 987-993, 2019 | 195 | 2019 |
| System and method for detecting gestures N Dalal, M Nariyawala, A Mohan, V Gulshan US Patent App. 13/796,772, 2014 | 96 | 2014 |
| Humanising GrabCut: Learning to segment humans using the Kinect V Gulshan, V Lempitsky, A Zisserman Workshop on Consumer Depth Cameras in Computer Vision, ICCV 2011, 2011 | 66 | 2011 |
| VLBenchmarks K Lenc, V Gulshan, A Vedaldi | 36 | 2012 |
| Evaluating self and semi-supervised methods for remote sensing segmentation tasks C Patel, S Sharma, VJ Pasquarella, V Gulshan arXiv preprint arXiv:2111.10079, 2021 | 12 | 2021 |
| Inundation modeling in data scarce regions Z Ben-Haim, V Anisimov, A Yonas, V Gulshan, Y Shafi, S Hoyer, S Nevo arXiv preprint arXiv:1910.05006, 2019 | 11 | 2019 |
| Multimodal contrastive learning for remote sensing tasks U Jain, A Wilson, V Gulshan arXiv preprint arXiv:2209.02329, 2022 | 9 | 2022 |
| From interactive to semantic image segmentation V Gulshan Oxford University, UK, 2011 | 5 | 2011 |
| A Deep Learning Data Fusion Model using Sentinel-1/2, SoilGrids, SMAP-USDA, and GLDAS for Soil Moisture Retrieval V Batchu, G Nearing, V Gulshan Journal of Hydrometeorology, 2023 | 4* | 2023 |
| Cross Modal Distillation for Flood Extent Mapping S Garg, B Feinstein, S Timnat, V Batchu, G Dror, AG Rosenthal, ... arXiv preprint arXiv:2302.08180, 2023 | 2 | 2023 |
| 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 | 2 | 2020 |
| Processing fundus images using machine learning models LHY Peng, DR Webster, PC Nelson, V Gulshan, MA Coram, MC Stumpe, ... US Patent App. 18/305,789, 2023 | | 2023 |
| Processing fundus images using machine learning models LHY Peng, DR Webster, PC Nelson, V Gulshan, MA Coram, MC Stumpe, ... US Patent 10,970,841, 2021 | | 2021 |
Lily PengGoogle ResearchVerified email at google.com
