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Varun Gulshan
Varun Gulshan
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Title
Cited by
Cited by
Year
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
65332016
Multiple kernels for object detection
A Vedaldi, V Gulshan, M Varma, A Zisserman
ICCV (International Conference on Computer Vision) 2009, 2009
10582009
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
5072010
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
4682018
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
2182018
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
2102019
System and method for detecting gestures
N Dalal, M Nariyawala, A Mohan, V Gulshan
US Patent App. 13/796,772, 2014
1022014
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
672011
VLBenchmarks
K Lenc, V Gulshan, A Vedaldi
362012
Multimodal contrastive learning for remote sensing tasks
U Jain, A Wilson, V Gulshan
arXiv preprint arXiv:2209.02329, 2022
142022
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
132021
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
112019
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
6*2023
From interactive to semantic image segmentation
V Gulshan
Oxford University, UK, 2011
52011
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
32023
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
22020
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
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