Varun Gulshan

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	All	Since 2016
Citations	4716	3756
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Co-authors

Dale R WebsterSoftware Engineer and Scientist, GoogleVerified email at google.com
Lily PengGoogle ResearchVerified email at google.com
Rajiv RamanSenior Consultant, Shri Bhagwan Mahavir Vitreoretinal servicesVerified email at snmail.org
Andrew ZissermanUniversity of OxfordVerified email at robots.ox.ac.uk
Subhashini VenugopalanUniversity of Texas at AustinVerified email at cs.utexas.edu
Andrea VedaldiUniversity of OxfordVerified email at robots.ox.ac.uk
Manik VarmaPrincipal Researcher, Microsoft Research India; Adjunct Professor of Computer Science, IIT DelhiVerified email at microsoft.com
Andrew BlakeAI Consultant: Samsung, Five AIVerified email at turing.ac.uk
Antonio CriminisiResearch Manager at AmazonVerified email at microsoft.com
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Jonathan KrauseGoogleVerified email at google.com
Ehsan RahimyPalo Alto Medical FoundationVerified email at pamf.org
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
Victor LempitskySamsung AI Center & Skolkovo Institute of Science and TechnologyVerified email at skoltech.ru
Navneet DalalMaticianVerified email at matician.com
Melody Y. GuanStanford UniversityVerified email at stanford.edu
Rahul GargStaff Research Scientist, Google Inc.Verified email at google.com

Varun Gulshan

Google Research

Verified email at google.com - Homepage

Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by 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	2924	2016
Multiple kernels for object detection A Vedaldi, V Gulshan, M Varma, A Zisserman ICCV (International Conference on Computer Vision) 2009, 2009	961	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	385	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	161	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	82	2018
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	63	2011
System and method for detecting gestures N Dalal, M Nariyawala, A Mohan, V Gulshan US Patent App. 13/796,772, 2014	59	2014
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	53	2019
VLBenchmarks K Lenc, V Gulshan, A Vedaldi	23	2012
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	3	2019
From interactive to semantic image segmentation V Gulshan Oxford University, UK, 2011	2	2011
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		2020

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