Greg S. Corrado

Affiliations: 
Stanford University, Palo Alto, CA 
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"Greg Corrado"
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Publications

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Iigaya K, Ahmadian Y, Sugrue LP, et al. (2019) Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales. Nature Communications. 10: 1466
Esteva A, Robicquet A, Ramsundar B, et al. (2019) A guide to deep learning in healthcare. Nature Medicine. 25: 24-29
Rajkomar A, Oren E, Chen K, et al. (2018) Scalable and accurate deep learning with electronic health records. Npj Digital Medicine. 1: 18
Poplin R, Varadarajan AV, Blumer K, et al. (2018) Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning. Nature Biomedical Engineering. 2: 158-164
Rajkomar A, Hardt M, Howell MD, et al. (2018) Ensuring Fairness in Machine Learning to Advance Health Equity. Annals of Internal Medicine
Krause J, Gulshan V, Rahimy E, et al. (2018) Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy. Ophthalmology
Johnson M, Schuster M, Le QV, et al. (2017) Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation Transactions of the Association For Computational Linguistics. 5: 339-351
Churchland MM, Yu BM, Cunningham JP, et al. (2010) Stimulus onset quenches neural variability: a widespread cortical phenomenon. Nature Neuroscience. 13: 369-78
Corrado GS, Sugrue LP, Brown JR, et al. (2009) The trouble with choice: Studying decision variables in the brain Neuroeconomics. 463-480
Corrado G, Doya K. (2007) Understanding neural coding through the model-based analysis of decision making. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 27: 8178-80
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