Greg S. Corrado - Publications

Affiliations: 
Stanford University, Palo Alto, CA 

62 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Bulten W, Kartasalo K, Chen PC, Ström P, Pinckaers H, Nagpal K, Cai Y, Steiner DF, van Boven H, Vink R, Hulsbergen-van de Kaa C, van der Laak J, Amin MB, Evans AJ, van der Kwast T, ... ... Corrado GS, et al. Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge. Nature Medicine. PMID 35027755 DOI: 10.1038/s41591-021-01620-2  1
2022 Liu X, Ali TK, Singh P, Shah A, McKinney SM, Ruamviboonsuk P, Turner AW, Keane PA, Chotcomwongse P, Nganthavee V, Chia M, Huemer J, Cuadros J, Raman R, Corrado GS, et al. Deep learning to detect optical coherence tomography-derived diabetic macular edema from retinal photographs: a multicenter validation study. Ophthalmology. Retina. PMID 34999015 DOI: 10.1016/j.oret.2021.12.021  1
2021 Guha Roy A, Ren J, Azizi S, Loh A, Natarajan V, Mustafa B, Pawlowski N, Freyberg J, Liu Y, Beaver Z, Vo N, Bui P, Winter S, MacWilliams P, Corrado GS, et al. Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions. Medical Image Analysis. 75: 102274. PMID 34731777 DOI: 10.1016/j.media.2021.102274  1
2021 Nabulsi Z, Sellergren A, Jamshy S, Lau C, Santos E, Kiraly AP, Ye W, Yang J, Pilgrim R, Kazemzadeh S, Yu J, Kalidindi SR, Etemadi M, Garcia-Vicente F, Melnick D, ... Corrado GS, et al. Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19. Scientific Reports. 11: 15523. PMID 34471144 DOI: 10.1038/s41598-021-93967-2  1
2021 Jain A, Way D, Gupta V, Gao Y, de Oliveira Marinho G, Hartford J, Sayres R, Kanada K, Eng C, Nagpal K, DeSalvo KB, Corrado GS, Peng L, Webster DR, Dunn RC, et al. Development and Assessment of an Artificial Intelligence-Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices. Jama Network Open. 4: e217249. PMID 33909055 DOI: 10.1001/jamanetworkopen.2021.7249  1
2021 Wulczyn E, Steiner DF, Moran M, Plass M, Reihs R, Tan F, Flament-Auvigne I, Brown T, Regitnig P, Chen PC, Hegde N, Sadhwani A, MacDonald R, Ayalew B, Corrado GS, et al. Interpretable survival prediction for colorectal cancer using deep learning. Npj Digital Medicine. 4: 71. PMID 33875798 DOI: 10.1038/s41746-021-00427-2  1
2021 Bora A, Balasubramanian S, Babenko B, Virmani S, Venugopalan S, Mitani A, de Oliveira Marinho G, Cuadros J, Ruamviboonsuk P, Corrado GS, Peng L, Webster DR, Varadarajan AV, Hammel N, Liu Y, et al. Predicting the risk of developing diabetic retinopathy using deep learning. The Lancet. Digital Health. 3: e10-e19. PMID 33735063 DOI: 10.1016/S2589-7500(20)30250-8  1
2020 Steiner DF, Nagpal K, Sayres R, Foote DJ, Wedin BD, Pearce A, Cai CJ, Winter SR, Symonds M, Yatziv L, Kapishnikov A, Brown T, Flament-Auvigne I, Tan F, Stumpe MC, ... ... Corrado GS, et al. Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies. Jama Network Open. 3: e2023267. PMID 33180129 DOI: 10.1001/jamanetworkopen.2020.23267  1
2020 McKinney SM, Karthikesalingam A, Tse D, Kelly CJ, Liu Y, Corrado GS, Shetty S. Reply to: Transparency and reproducibility in artificial intelligence. Nature. 586: E17-E18. PMID 33057218 DOI: 10.1038/s41586-020-2767-x  1
2020 McKinney SM, Sieniek M, Godbole V, Godwin J, Antropova N, Ashrafian H, Back T, Chesus M, Corrado GS, Darzi A, Etemadi M, Garcia-Vicente F, Gilbert FJ, Halling-Brown M, Hassabis D, et al. Addendum: International evaluation of an AI system for breast cancer screening. Nature. 586: E19. PMID 33057216 DOI: 10.1038/s41586-020-2679-9  1
2020 Freedman D, Blau Y, Katzir L, Aides A, Shimshoni I, Veikherman D, Golany T, Gordon A, Corrado G, Matias Y, Rivlin E. Detecting Deficient Coverage in Colonoscopies. Ieee Transactions On Medical Imaging. PMID 32746092 DOI: 10.1109/TMI.2020.2994221  0.01
2020 Nagpal K, Foote D, Tan F, Liu Y, Chen PC, Steiner DF, Manoj N, Olson N, Smith JL, Mohtashamian A, Peterson B, Amin MB, Evans AJ, Sweet JW, Cheung C, ... ... Corrado GS, et al. Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens. Jama Oncology. PMID 32701148 DOI: 10.1001/Jamaoncol.2020.2485  1
2020 Liu Y, Jain A, Eng C, Way DH, Lee K, Bui P, Kanada K, de Oliveira Marinho G, Gallegos J, Gabriele S, Gupta V, Singh N, Natarajan V, Hofmann-Wellenhof R, Corrado GS, et al. A deep learning system for differential diagnosis of skin diseases. Nature Medicine. PMID 32424212 DOI: 10.1038/S41591-020-0842-3  1
2020 Mitani A, Huang A, Venugopalan S, Corrado GS, Peng L, Webster DR, Hammel N, Liu Y, Varadarajan AV. Author Correction: Detection of anaemia from retinal fundus images via deep learning. Nature Biomedical Engineering. PMID 32051580 DOI: 10.1038/S41551-020-0530-0  1
2020 Hartman T, Howell MD, Dean J, Hoory S, Slyper R, Laish I, Gilon O, Vainstein D, Corrado G, Chou K, Po MJ, Williams J, Ellis S, Bee G, Hassidim A, et al. Customization scenarios for de-identification of clinical notes. Bmc Medical Informatics and Decision Making. 20: 14. PMID 32000770 DOI: 10.1186/s12911-020-1026-2  1
2020 Varadarajan AV, Bavishi P, Ruamviboonsuk P, Chotcomwongse P, Venugopalan S, Narayanaswamy A, Cuadros J, Kanai K, Bresnick G, Tadarati M, Silpa-Archa S, Limwattanayingyong J, Nganthavee V, Ledsam JR, Keane PA, ... Corrado GS, et al. Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. Nature Communications. 11: 130. PMID 31913272 DOI: 10.1038/S41467-019-13922-8  1
2020 McKinney SM, Sieniek M, Godbole V, Godwin J, Antropova N, Ashrafian H, Back T, Chesus M, Corrado GC, Darzi A, Etemadi M, Garcia-Vicente F, Gilbert FJ, Halling-Brown M, Hassabis D, et al. International evaluation of an AI system for breast cancer screening. Nature. 577: 89-94. PMID 31894144 DOI: 10.1038/S41586-019-1799-6  1
2019 Mitani A, Huang A, Venugopalan S, Corrado GS, Peng L, Webster DR, Hammel N, Liu Y, Varadarajan AV. Detection of anaemia from retinal fundus images via deep learning. Nature Biomedical Engineering. PMID 31873211 DOI: 10.1038/S41551-019-0487-Z  1
2019 Schaekermann M, Hammel N, Terry M, Ali TK, Liu Y, Basham B, Campana B, Chen W, Ji X, Krause J, Corrado GS, Peng L, Webster DR, Law E, Sayres R. Remote Tool-Based Adjudication for Grading Diabetic Retinopathy. Translational Vision Science & Technology. 8: 40. PMID 31867141 DOI: 10.1167/Tvst.8.6.40  1
2019 Majkowska A, Mittal S, Steiner DF, Reicher JJ, McKinney SM, Duggan GE, Eswaran K, Cameron Chen PH, Liu Y, Kalidindi SR, Ding A, Corrado GS, Tse D, Shetty S. Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation. Radiology. 191293. PMID 31793848 DOI: 10.1148/radiol.2019191293  1
2019 Nagpal K, Foote D, Liu Y, Chen PC, Wulczyn E, Tan F, Olson N, Smith JL, Mohtashamian A, Wren JH, Corrado GS, MacDonald R, Peng LH, Amin MB, Evans AJ, et al. Erratum: Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. Npj Digital Medicine. 2: 113. PMID 31754638 DOI: 10.1038/s41746-019-0196-8  1
2019 Kelly CJ, Karthikesalingam A, Suleyman M, Corrado G, King D. Key challenges for delivering clinical impact with artificial intelligence. Bmc Medicine. 17: 195. PMID 31665002 DOI: 10.1186/s12916-019-1426-2  1
2019 Phene S, Dunn RC, Hammel N, Liu Y, Krause J, Kitade N, Schaekermann M, Sayres R, Wu DJ, Bora A, Semturs C, Misra A, Huang AE, Spitze A, Medeiros FA, ... ... Corrado GS, et al. Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs. Ophthalmology. PMID 31561879 DOI: 10.1016/J.Ophtha.2019.07.024  1
2019 Chen PC, Gadepalli K, MacDonald R, Liu Y, Kadowaki S, Nagpal K, Kohlberger T, Dean J, Corrado GS, Hipp JD, Mermel CH, Stumpe MC. An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis. Nature Medicine. PMID 31406351 DOI: 10.1038/S41591-019-0539-7  1
2019 Ruamviboonsuk P, Krause J, Chotcomwongse P, Sayres R, Raman R, Widner K, Campana BJL, Phene S, Hemarat K, Tadarati M, Silpa-Archa S, Limwattanayingyong J, Rao C, Kuruvilla O, Jung J, ... ... Corrado GS, et al. Erratum: Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. Npj Digital Medicine. 2: 68. PMID 31341955 DOI: 10.1038/s41746-019-0146-5  1
2019 Hegde N, Hipp JD, Liu Y, Emmert-Buck M, Reif E, Smilkov D, Terry M, Cai CJ, Amin MB, Mermel CH, Nelson PQ, Peng LH, Corrado GS, Stumpe MC. Similar image search for histopathology: SMILY. Npj Digital Medicine. 2: 56. PMID 31304402 DOI: 10.1038/S41746-019-0131-Z  1
2019 Nagpal K, Foote D, Liu Y, Chen PC, Wulczyn E, Tan F, Olson N, Smith JL, Mohtashamian A, Wren JH, Corrado GS, MacDonald R, Peng LH, Amin MB, Evans AJ, et al. Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. Npj Digital Medicine. 2: 48. PMID 31304394 DOI: 10.1038/S41746-019-0112-2  1
2019 Raumviboonsuk P, Krause J, Chotcomwongse P, Sayres R, Raman R, Widner K, Campana BJL, Phene S, Hemarat K, Tadarati M, Silpa-Archa S, Limwattanayingyong J, Rao C, Kuruvilla O, Jung J, ... ... Corrado GS, et al. Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. Npj Digital Medicine. 2: 25. PMID 31304372 DOI: 10.1038/s41746-019-0099-8  1
2019 Ardila D, Kiraly AP, Bharadwaj S, Choi B, Reicher JJ, Peng L, Tse D, Etemadi M, Ye W, Corrado G, Naidich DP, Shetty S. Author Correction: End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography. Nature Medicine. PMID 31253948 DOI: 10.1038/S41591-019-0536-X  1
2019 Gulshan V, Rajan RP, Widner K, Wu D, Wubbels P, Rhodes T, Whitehouse K, Coram M, Corrado G, Ramasamy K, Raman R, Peng L, Webster DR. Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India. Jama Ophthalmology. PMID 31194246 DOI: 10.1001/Jamaophthalmol.2019.2004  1
2019 Ardila D, Kiraly AP, Bharadwaj S, Choi B, Reicher JJ, Peng L, Tse D, Etemadi M, Ye W, Corrado G, Naidich DP, Shetty S. End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography. Nature Medicine. PMID 31110349 DOI: 10.1038/S41591-019-0447-X  1
2019 Iigaya K, Ahmadian Y, Sugrue LP, Corrado GS, Loewenstein Y, Newsome WT, Fusi S. Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales. Nature Communications. 10: 1466. PMID 30931937 DOI: 10.1038/S41467-019-09388-3  1
2019 Esteva A, Robicquet A, Ramsundar B, Kuleshov V, DePristo M, Chou K, Cui C, Corrado G, Thrun S, Dean J. A guide to deep learning in healthcare. Nature Medicine. 25: 24-29. PMID 30617335 DOI: 10.1038/S41591-018-0316-Z  1
2018 Rajkomar A, Oren E, Chen K, Dai AM, Hajaj N, Hardt M, Liu PJ, Liu X, Marcus J, Sun M, Sundberg P, Yee H, Zhang K, Zhang Y, Flores G, ... ... Corrado GS, et al. Scalable and accurate deep learning with electronic health records. Npj Digital Medicine. 1: 18. PMID 31304302 DOI: 10.1038/S41746-018-0029-1  1
2018 Poplin R, Varadarajan AV, Blumer K, Liu Y, McConnell MV, Corrado GS, Peng L, Webster DR. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning. Nature Biomedical Engineering. 2: 158-164. PMID 31015713 DOI: 10.1038/S41551-018-0195-0  1
2018 Sayres R, Taly A, Rahimy E, Blumer K, Coz D, Hammel N, Krause J, Narayanaswamy A, Rastegar Z, Wu D, Xu S, Barb S, Joseph A, Shumski M, Smith J, ... ... Corrado GS, et al. Using a deep learning algorithm and integrated gradients explanation to assist grading for diabetic retinopathy. Ophthalmology. PMID 30553900 DOI: 10.1016/J.Ophtha.2018.11.016  1
2018 Rajkomar A, Hardt M, Howell MD, Corrado G, Chin MH. Ensuring Fairness in Machine Learning to Advance Health Equity. Annals of Internal Medicine. PMID 30508424 DOI: 10.7326/M18-1990  0.01
2018 Varadarajan AV, Poplin R, Blumer K, Angermueller C, Ledsam J, Chopra R, Keane PA, Corrado GS, Peng L, Webster DR. Deep Learning for Predicting Refractive Error From Retinal Fundus Images. Investigative Ophthalmology & Visual Science. 59: 2861-2868. PMID 30025129 DOI: 10.1167/Iovs.18-23887  1
2018 Krause J, Gulshan V, Rahimy E, Karth P, Widner K, Corrado GS, Peng L, Webster DR. Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy. Ophthalmology. PMID 29548646 DOI: 10.1016/J.Ophtha.2018.01.034  1
2017 Johnson M, Schuster M, Le QV, Krikun M, Wu Y, Chen Z, Thorat N, Viégas FB, Wattenberg M, Corrado G, Hughes M, Dean J. Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation Transactions of the Association For Computational Linguistics. 5: 339-351. DOI: 10.1162/Tacl_A_00065  1
2013 Jackson BL, Rajendran B, Corrado GS, Breitwisch M, Burr GW, Cheek R, Gopalakrishnan K, Raoux S, Rettner CT, Padilla A, Schrott AG, Shenoy RS, Kurdi BN, Lam CH, Modha DS. Nanoscale electronic synapses using phase change devices Acm Journal On Emerging Technologies in Computing Systems. 9. DOI: 10.1145/2463585.2463588  1
2013 Mikolov T, Sutskever I, Chen K, Corrado G, Dean J. Distributed representations ofwords and phrases and their compositionality Advances in Neural Information Processing Systems 1
2013 Frome A, Corrado GS, Shlens J, Bengio S, Dean J, Ranzato M, Mikolov T. DeViSE: A deep visual-semantic embedding model Advances in Neural Information Processing Systems 1
2012 Le QV, Ranzato M, Monga R, Devin M, Chen K, Corrado GS, Dean J, Ng AY. Building high-level features using large scale unsupervised learning Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 81-88.  1
2012 Dean T, Corrado GS, Shlens J. Three controversial hypotheses concerning computation in the primate cortex Proceedings of the National Conference On Artificial Intelligence. 2: 1543-1549.  1
2012 Dean J, Corrado GS, Monga R, Chen K, Devin M, Le QV, Mao MZ, Ranzato MA, Senior A, Tucker P, Yang K, Ng AY. Large scale distributed deep networks Advances in Neural Information Processing Systems. 2: 1223-1231.  1
2010 Churchland MM, Yu BM, Cunningham JP, Sugrue LP, Cohen MR, Corrado GS, Newsome WT, Clark AM, Hosseini P, Scott BB, Bradley DC, Smith MA, Kohn A, Movshon JA, Armstrong KM, et al. Stimulus onset quenches neural variability: a widespread cortical phenomenon. Nature Neuroscience. 13: 369-78. PMID 20173745 DOI: 10.1038/Nn.2501  1
2009 Dean T, Washington R, Corrado G. Recursive sparse, spatiotemporal coding Ism 2009 - 11th Ieee International Symposium On Multimedia. 645-650. DOI: 10.1109/ISM.2009.28  1
2009 Corrado GS, Sugrue LP, Brown JR, Newsome WT. The trouble with choice: Studying decision variables in the brain Neuroeconomics. 463-480. DOI: 10.1016/B978-0-12-374176-9.00030-0  1
2007 Corrado G, Doya K. 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. PMID 17670963 DOI: 10.1523/JNEUROSCI.1590-07.2007  1
2007 Anderson B, Auberbach L, Averett T, Bertozzi W, Black T, Calarco J, Cardman L, Cates GD, Chai ZW, Chen JP, Choi S, Chudakov E, Churchwell S, Corrado GS, Crawford C, et al. Extraction of the neutron magnetic form factor from quasielastic 3He→(e→,e') at Q2=0.1-0.6 (GeV/c)2 Physical Review C - Nuclear Physics. 75. DOI: 10.1103/Physrevc.75.034003  1
2005 Corrado GS, Sugrue LP, Seung HS, Newsome WT. Linear-Nonlinear-Poisson models of primate choice dynamics. Journal of the Experimental Analysis of Behavior. 84: 581-617. PMID 16596981 DOI: 10.1901/jeab.2005.23-05  1
2005 Sugrue LP, Corrado GS, Newsome WT. Choosing the greater of two goods: neural currencies for valuation and decision making. Nature Reviews. Neuroscience. 6: 363-75. PMID 15832198 DOI: 10.1038/nrn1666  1
2004 Sugrue LP, Corrado GS, Newsome WT. Matching behavior and the representation of value in the parietal cortex. Science (New York, N.Y.). 304: 1782-7. PMID 15205529 DOI: 10.1126/science.1094765  1
2003 Xu W, Anderson B, Auberbach L, Averett T, Bertozzi W, Black T, Calarco J, Cardman L, Cates GD, Chai ZW, Chen JP, Choi S, Chudakov E, Churchwell S, Corrado GS, et al. Plane-wave impulse approximation extraction of the neutron magnetic form factor from quasielastic 3He→(e→,e′) at Q2 = 0.3 to 0.6 (GeV/c)2 Physical Review C - Nuclear Physics. 67: 122011-122015.  1
2001 Xiong F, Dutta D, Xu W, Anderson B, Auberbach L, Averett T, Bertozzi W, Black T, Calarco J, Cardman L, Cates GD, Chai ZW, Chen JP, Choi S, Chudakov E, ... ... Corrado GS, et al. Precision measurement of the spin-dependent asymmetry in the threshold region of 3He(e, e'). Physical Review Letters. 87: 242501. PMID 11736498 DOI: 10.1103/Physrevlett.87.242501  1
2001 Xiong F, Dutta D, Xu W, Anderson B, Auberbach L, Averett T, Bertozzi W, Black T, Calarco J, Cardman L, Cates GD, Chai ZW, Chen JP, Choi S, Chudakov E, ... ... Corrado GS, et al. Precision measurement of the spin-dependent asymmetry in the threshold region of 3H→e(e→, e′) Physical Review Letters. 87: 2425011-2425015.  1
2001 Koechlin E, Corrado G, Pietrini P, Grafman J. 20. Dissociating the functional properties of the medial and lateral anterior prefrontal cortex Brain and Cognition. 47: 93-97.  1
2000 Xu W, Dutta D, Xiong F, Anderson B, Auberbach L, Averett T, Bertozzi W, Black T, Calarco J, Cardman L, Cates GD, Chai ZW, Chen JP, Choi S, Chudakov E, ... ... Corrado GS, et al. Transverse asymmetry AT' from the quasielastic 3He(e,e') process and the neutron magnetic form factor. Physical Review Letters. 85: 2900-4. PMID 11005963 DOI: 10.1103/Physrevlett.85.2900  1
2000 Koechlin E, Corrado G, Pietrini P, Grafman J. Dissociating the role of the medial and lateral anterior prefrontal cortex in human planning. Proceedings of the National Academy of Sciences of the United States of America. 97: 7651-6. PMID 10852964 DOI: 10.1073/Pnas.130177397  1
2000 Xu W, Dutta D, Xiong F, Anderson B, Auberbach L, Averett T, Bertozzi W, Black T, Calarco J, Cardman L, Cates GD, Chai ZW, Chen JP, Choi S, Chudakov E, ... ... Corrado GS, et al. Transverse asymmetry AT′ from the quasielastic 3H + (Combining right arrow above sign)e (e + (Combining right arrow above sign), e′) process and the neutron magnetic form factor Physical Review Letters. 85: 2900-2904.  1
1962 MARCHESE MJ, CORRADO GS. [Calcification of the left auricle]. Revista De La Asociaciã³N Mã©Dica Argentina. 76: 113-6. PMID 14469636  1
Show low-probability matches.