| Year |
Citation |
Score |
| 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 |
0.719 |
|
| 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 |
0.301 |
|
| 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 |
0.326 |
|
| 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 |
0.315 |
|
| 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 |
0.331 |
|
| 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 |
0.341 |
|
| 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 |
0.302 |
|
| 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 |
0.68 |
|
| 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 |
0.713 |
|
| 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 |
0.521 |
|
| 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 |
0.703 |
|
| 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 |
0.719 |
|
| 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 |
0.726 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 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 |
0.295 |
|
| 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 |
0.291 |
|
| 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 |
0.287 |
|
| 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 |
0.286 |
|
| 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 |
0.283 |
|
| 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 |
0.282 |
|
| 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 |
0.277 |
|
| 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 |
0.277 |
|
| 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 |
0.273 |
|
| 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 |
0.273 |
|
| 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 |
0.271 |
|
| 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 |
0.251 |
|
| 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 |
0.244 |
|
| 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 |
0.237 |
|
| 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 |
0.234 |
|
| 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 |
0.233 |
|
| 2024 |
Weng WH, Sellergen A, Kiraly AP, D'Amour A, Park J, Pilgrim R, Pfohl S, Lau C, Natarajan V, Azizi S, Karthikesalingam A, Cole-Lewis H, Matias Y, Corrado GS, Webster DR, et al. An intentional approach to managing bias in general purpose embedding models. The Lancet. Digital Health. 6: e126-e130. PMID 38278614 DOI: 10.1016/S2589-7500(23)00227-3 |
0.228 |
|
| 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 |
0.228 |
|
| 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 |
0.223 |
|
| 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 |
0.221 |
|
| 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 |
0.22 |
|
| 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 |
0.2 |
|
| 2024 |
Lang O, Yaya-Stupp D, Traynis I, Cole-Lewis H, Bennett CR, Lyles CR, Lau C, Irani M, Semturs C, Webster DR, Corrado GS, Hassidim A, Matias Y, Liu Y, Hammel N, et al. Using generative AI to investigate medical imagery models and datasets. Ebiomedicine. 102: 105075. PMID 38565004 DOI: 10.1016/j.ebiom.2024.105075 |
0.183 |
|
| 2023 |
Azizi S, Culp L, Freyberg J, Mustafa B, Baur S, Kornblith S, Chen T, Tomasev N, Mitrović J, Strachan P, Mahdavi SS, Wulczyn E, Babenko B, Walker M, Loh A, ... ... Corrado GS, et al. Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging. Nature Biomedical Engineering. PMID 37291435 DOI: 10.1038/s41551-023-01049-7 |
0.181 |
|
| 2022 |
Babenko B, Mitani A, Traynis I, Kitade N, Singh P, Maa AY, Cuadros J, Corrado GS, Peng L, Webster DR, Varadarajan A, Hammel N, Liu Y. Detection of signs of disease in external photographs of the eyes via deep learning. Nature Biomedical Engineering. PMID 35352000 DOI: 10.1038/s41551-022-00867-5 |
0.168 |
|
| 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 |
0.168 |
|
| 2023 |
Krogue JD, Azizi S, Tan F, Flament-Auvigne I, Brown T, Plass M, Reihs R, Müller H, Zatloukal K, Richeson P, Corrado GS, Peng LH, Mermel CH, Liu Y, Chen PC, et al. Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning. Communications Medicine. 3: 59. PMID 37095223 DOI: 10.1038/s43856-023-00282-0 |
0.164 |
|
| 2022 |
Jaroensri R, Wulczyn E, Hegde N, Brown T, Flament-Auvigne I, Tan F, Cai Y, Nagpal K, Rakha EA, Dabbs DJ, Olson N, Wren JH, Thompson EE, Seetao E, Robinson C, ... ... Corrado GS, et al. Deep learning models for histologic grading of breast cancer and association with disease prognosis. Npj Breast Cancer. 8: 113. PMID 36192400 DOI: 10.1038/s41523-022-00478-y |
0.164 |
|
| 2023 |
Dvijotham KD, Winkens J, Barsbey M, Ghaisas S, Stanforth R, Pawlowski N, Strachan P, Ahmed Z, Azizi S, Bachrach Y, Culp L, Daswani M, Freyberg J, Kelly C, Kiraly A, ... ... Corrado G, et al. Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians. Nature Medicine. 29: 1814-1820. PMID 37460754 DOI: 10.1038/s41591-023-02437-x |
0.158 |
|
| 2023 |
Singhal K, Azizi S, Tu T, Mahdavi SS, Wei J, Chung HW, Scales N, Tanwani A, Cole-Lewis H, Pfohl S, Payne P, Seneviratne M, Gamble P, Kelly C, Babiker A, ... ... Corrado GS, et al. Large language models encode clinical knowledge. Nature. PMID 37438534 DOI: 10.1038/s41586-023-06291-2 |
0.152 |
|
| 2023 |
Bora A, Tiwari R, Bavishi P, Virmani S, Huang R, Traynis I, Corrado GS, Peng L, Webster DR, Varadarajan AV, Pattanapongpaiboon W, Chopra R, Ruamviboonsuk P. Risk Stratification for Diabetic Retinopathy Screening Order Using Deep Learning: A Multicenter Prospective Study. Translational Vision Science & Technology. 12: 11. PMID 38079169 DOI: 10.1167/tvst.12.12.11 |
0.143 |
|
| 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 |
0.141 |
|
| 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 |
0.141 |
|
| 2023 |
Widner K, Virmani S, Krause J, Nayar J, Tiwari R, Pedersen ER, Jeji D, Hammel N, Matias Y, Corrado GS, Liu Y, Peng L, Webster DR. Lessons learned from translating AI from development to deployment in healthcare. Nature Medicine. PMID 37248297 DOI: 10.1038/s41591-023-02293-9 |
0.139 |
|
| 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 |
0.133 |
|
| 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. |
0.13 |
|
| 2022 |
Kazemzadeh S, Yu J, Jamshy S, Pilgrim R, Nabulsi Z, Chen C, Beladia N, Lau C, McKinney SM, Hughes T, Kiraly AP, Kalidindi SR, Muyoyeta M, Malemela J, Shih T, ... Corrado GS, et al. Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists. Radiology. 212213. PMID 36066366 DOI: 10.1148/radiol.212213 |
0.127 |
|
| 2023 |
Babenko B, Traynis I, Chen C, Singh P, Uddin A, Cuadros J, Daskivich LP, Maa AY, Kim R, Kang EY, Matias Y, Corrado GS, Peng L, Webster DR, Semturs C, et al. A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study. The Lancet. Digital Health. PMID 36966118 DOI: 10.1016/S2589-7500(23)00022-5 |
0.124 |
|
| 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 |
0.12 |
|
| 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 |
0.12 |
|
| 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. |
0.112 |
|
| 2023 |
L'Imperio V, Wulczyn E, Plass M, Müller H, Tamini N, Gianotti L, Zucchini N, Reihs R, Corrado GS, Webster DR, Peng LH, Chen PC, Lavitrano M, Liu Y, Steiner DF, et al. Pathologist Validation of a Machine Learning-Derived Feature for Colon Cancer Risk Stratification. Jama Network Open. 6: e2254891. PMID 36917112 DOI: 10.1001/jamanetworkopen.2022.54891 |
0.111 |
|
| 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 |
0.103 |
|
| 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 |
0.103 |
|
| 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. |
0.1 |
|
| 2021 |
Gamble P, Jaroensri R, Wang H, Tan F, Moran M, Brown T, Flament-Auvigne I, Rakha EA, Toss M, Dabbs DJ, Regitnig P, Olson N, Wren JH, Robinson C, Corrado GS, et al. Determining breast cancer biomarker status and associated morphological features using deep learning. Communications Medicine. 1: 14. PMID 35602213 DOI: 10.1038/s43856-021-00013-3 |
0.097 |
|
| 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 |
0.089 |
|
| 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 |
0.084 |
|
| 2021 |
Livovsky DM, Veikherman D, Golany T, Aides A, Dashinsky V, Rabani N, Ben Shimol D, Blau Y, Katzir L, Shimshoni I, Liu Y, Segol O, Goldin E, Corrado G, Lachter J, et al. Detection of elusive polyps via a large-scale artificial intelligence system (with videos). Gastrointestinal Endoscopy. PMID 34216598 DOI: 10.1016/j.gie.2021.06.021 |
0.082 |
|
| 2024 |
Kiraly AP, Cunningham CA, Najafi R, Nabulsi Z, Yang J, Lau C, Ledsam JR, Ye W, Ardila D, McKinney SM, Pilgrim R, Liu Y, Saito H, Shimamura Y, Etemadi M, ... ... Corrado GS, et al. Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan. Radiology. Artificial Intelligence. e230079. PMID 38477661 DOI: 10.1148/ryai.230079 |
0.078 |
|
| 2022 |
Bae S, Borac S, Emre Y, Wang J, Wu J, Kashyap M, Kang SH, Chen L, Moran M, Cannon J, Teasley ES, Chai A, Liu Y, Wadhwa N, Krainin M, ... ... Corrado GS, et al. Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithms. Communications Medicine. 2: 40. PMID 35603304 DOI: 10.1038/s43856-022-00102-x |
0.073 |
|
| 2021 |
Wulczyn E, Nagpal K, Symonds M, Moran M, Plass M, Reihs R, Nader F, Tan F, Cai Y, Brown T, Flament-Auvigne I, Amin MB, Stumpe MC, Müller H, Regitnig P, ... ... Corrado GS, et al. Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading. Communications Medicine. 1: 10. PMID 35602201 DOI: 10.1038/s43856-021-00005-3 |
0.07 |
|
| 2022 |
Gomes RG, Vwalika B, Lee C, Willis A, Sieniek M, Price JT, Chen C, Kasaro MP, Taylor JA, Stringer EM, McKinney SM, Sindano N, Dahl GE, Goodnight W, Gilmer J, ... ... Corrado G, et al. A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment. Communications Medicine. 2: 128. PMID 36249461 DOI: 10.1038/s43856-022-00194-5 |
0.059 |
|
| 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 |
0.058 |
|
| 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 |
0.057 |
|
| 2024 |
Howell MD, Corrado GS, DeSalvo KB. Three Epochs of Artificial Intelligence in Health Care. Jama. 331: 242-244. PMID 38227029 DOI: 10.1001/jama.2023.25057 |
0.054 |
|
| 2023 |
Singhal K, Azizi S, Tu T, Mahdavi SS, Wei J, Chung HW, Scales N, Tanwani A, Cole-Lewis H, Pfohl S, Payne P, Seneviratne M, Gamble P, Kelly C, Babiker A, ... ... Corrado GS, et al. Publisher Correction: Large language models encode clinical knowledge. Nature. PMID 37500979 DOI: 10.1038/s41586-023-06455-0 |
0.054 |
|
| 2022 |
Golany T, Aides A, Freedman D, Rabani N, Liu Y, Rivlin E, Corrado GS, Matias Y, Khoury W, Kashtan H, Reissman P. Artificial intelligence for phase recognition in complex laparoscopic cholecystectomy. Surgical Endoscopy. PMID 35941306 DOI: 10.1007/s00464-022-09405-5 |
0.053 |
|
| 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 |
0.048 |
|
| 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 |
0.047 |
|
| 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. |
0.046 |
|
| 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. |
0.043 |
|
| 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. |
0.04 |
|
| 2020 |
Cianci S, Rosati A, Rumolo V, Gueli Alletti S, Gallotta V, Turco LC, Corrado G, Vizzielli G, Fagotti A, Fanfani F, Scambia G, Uccella S. Robotic Single-Port Platform in General, Urologic, and Gynecologic Surgeries: A Systematic Review of the Literature and Meta-analysis. World Journal of Surgery. 43: 2401-2419. PMID 31187247 DOI: 10.1007/s00268-019-05049-0 |
0.038 |
|
| 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 |
0.034 |
|
| 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 |
0.032 |
|
| 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. |
0.027 |
|
| 2021 |
Woskie LR, Hennessy J, Espinosa V, Tsai TC, Vispute S, Jacobson BH, Cattuto C, Gauvin L, Tizzoni M, Fabrikant A, Gadepalli K, Boulanger A, Pearce A, Kamath C, Schlosberg A, ... ... Corrado G, et al. Early social distancing policies in Europe, changes in mobility & COVID-19 case trajectories: Insights from Spring 2020. Plos One. 16: e0253071. PMID 34191818 DOI: 10.1371/journal.pone.0253071 |
0.026 |
|
| 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. |
0.025 |
|
| 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. |
0.023 |
|
| 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 |
0.02 |
|
| 1962 |
MARCHESE MJ, CORRADO GS. [Calcification of the left auricle]. Revista De La Asociaciã³N Mã©Dica Argentina. 76: 113-6. PMID 14469636 |
0.014 |
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| 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 quasielastic3He→(e→,e′)atQ2=0.3to0.6(GeV/c)2 Physical Review C. 67. DOI: 10.1103/Physrevc.67.012201 |
0.011 |
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