ScholarIQanswers from OpenAlex & ORCID
Greg S. Corrado
ResearcherPublications, citations & collaboration network
Greg S. Corrado is a researcher indexed in ScholarIQ from OpenAlex & ORCID.
How many works does Greg S. Corrado have?
ScholarIQindexed works
Greg S. Corrado has 154 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Greg S. Corrado have?
ScholarIQcitation count
Greg S. Corrado has 100,576 citations in the OpenAlex counts ScholarIQ stores.
What is the h-index of Greg S. Corrado?
ScholarIQh-index
Greg S. Corrado has an h-index of 63 in OpenAlex.
What is the i10-index of Greg S. Corrado?
ScholarIQi10-index
Greg S. Corrado has an i10-index of 104 in OpenAlex.
What is the ORCID of Greg S. Corrado?
ScholarIQorcid
The ORCID for Greg S. Corrado is on the source record.
What is the OpenAlex record for Greg S. Corrado?
ScholarIQopenalex
The OpenAlex for Greg S. Corrado is on the source record.
What are the most-cited papers on Greg S. Corrado?
ScholarIQmost cited works
International evaluation of an AI system for breast cancer screening
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, Jonathan Godwin, Н. В. Антропова, Hutan Ashrafian, Trevor Back, Mary Chesus, Greg S. Corrado, Ara Darzi, Mozziyar Etemadi, Florencia Garcia-Vicente, Fiona J. Gilbert, Mark Halling‐Brown, Demis Hassabis, Sunny Jansen, Alan Karthikesalingam, Christopher Kelly, Dominic King, Joseph R. Ledsam, David Melnick, Hormuz Mostofi, Lily Peng, Joshua Reicher, Bernardino Romera‐Paredes, Richard Sidebottom, Mustafa Suleyman, Daniel Tse, Kenneth C. Young, Jeffrey De Fauw, Shravya Shetty
Toward expert-level medical question answering with large language models
K. K. Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Mohamed Amin, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Qazi Mamunur Rashid, Mike Schaekermann, Amy Wang, Dev Dash, Jonathan H. Chen, Nigam H. Shah, Sami Lachgar, P. Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Nenad Tomašev, Yun Liu, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joëlle Barral, Dale R. Webster, Greg S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, Vivek Natarajan
Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy
Jonathan Krause, Varun Gulshan, Ehsan Rahimy, Peter A. Karth, Kasumi Widner, Greg S. Corrado, Lily Peng, Dale R. Webster
Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy
Rory Sayres, Ankur Taly, Ehsan Rahimy, Katy Blumer, David Coz, Naama Hammel, Jonathan Krause, Arunachalam Narayanaswamy, Zahra Rastegar, Derek Wu, Shawn Xu, Scott Barb, Anthony Joseph, Michael Shumski, Jesse M. Smith, Arjun B. Sood, Greg S. Corrado, Lily Peng, Dale R. Webster