Corrado, Greg S: search on Z-Library

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1

A guide to deep learning in healthcare

Esteva, Andre, Robicquet, Alexandre, Ramsundar, Bharath, Kuleshov, Volodymyr, DePristo, Mark, Chou, Katherine, Cui, Claire, Corrado, Greg, Thrun, Sebastian, Dean, Jeff

Journal:

Nature Medicine

Year:

2019

Language:

english

File:

PDF, 6.44 MB

english, 2019

2

Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

Johnson, Melvin, Schuster, Mike, Le, Quoc V., Krikun, Maxim, Wu, Yonghui, Chen, Zhifeng, Thorat, Nikhil, Viégas, Fernanda, Wattenberg, Martin, Corrado, Greg, Hughes, Macduff, Dean, Jeffrey

Journal:

Transactions of the Association for Computational Linguistics

Year:

2017

Language:

english

File:

PDF, 2.16 MB

english, 2017

3

International evaluation of an AI system for breast cancer screening

McKinney, Scott Mayer, Sieniek, Marcin, Godbole, Varun, Godwin, Jonathan, Antropova, Natasha, Ashrafian, Hutan, Back, Trevor, Chesus, Mary, Corrado, Greg C., Darzi, Ara, Etemadi, Mozziyar, Garcia-Vice

Journal:

Year:

2020

Language:

english

File:

PDF, 6.25 MB

english, 2020

4

Ensuring Fairness in Machine Learning to Advance Health Equity

Rajkomar, Alvin, Hardt, Michaela, Howell, Michael D., Corrado, Greg, Chin, Marshall H.

Journal:

Annals of Internal Medicine

Year:

2018

Language:

english

File:

PDF, 136 KB

english, 2018

5

Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

Poplin, Ryan, Varadarajan, Avinash V., Blumer, Katy, Liu, Yun, McConnell, Michael V., Corrado, Greg S., Peng, Lily, Webster, Dale R.

Journal:

Nature Biomedical Engineering

Year:

2018

Language:

english

File:

PDF, 1.33 MB

english, 2018

6

Deep Learning for Predicting Refractive Error From Retinal Fundus Images

Varadarajan, Avinash V., Poplin, Ryan, Blumer, Katy, Angermueller, Christof, Ledsam, Joe, Chopra, Reena, Keane, Pearse A., Corrado, Greg S., Peng, Lily, Webster, Dale R.

Journal:

Investigative Opthalmology & Visual Science

Year:

2018

Language:

english

File:

PDF, 567 KB

english, 2018

7

Detecting Deficient Coverage in Colonoscopies

Freedman, Daniel, Blau, Yochai, Katzir, Liran, Aides, Amit, Shimshoni, Ilan, Veikherman, Danny, Golany, Tomer, Gordon, Ariel, Corrado, Greg, Matias, Yossi, Rivlin, Ehud

Journal:

IEEE Transactions on Medical Imaging

Year:

2020

File:

PDF, 5.39 MB

2020

8

Reply to: Transparency and reproducibility in artificial intelligence

McKinney, Scott Mayer, Karthikesalingam, Alan, Tse, Daniel, Kelly, Christopher J., Liu, Yun, Corrado, Greg S., Shetty, Shravya

Journal:

Year:

2020

File:

PDF, 1.16 MB

2020

9

International evaluation of an AI system for breast cancer screening

McKinney, Scott Mayer, Sieniek, Marcin, Godbole, Varun, Godwin, Jonathan, Antropova, Natasha, Ashrafian, Hutan, Back, Trevor, Chesus, Mary, Corrado, Greg C., Darzi, Ara, Etemadi, Mozziyar, Garcia-Vice

Journal:

Year:

2020

File:

PDF, 6.25 MB

2020

10

Detection of anaemia from retinal fundus images via deep learning

Mitani, Akinori, Huang, Abigail, Venugopalan, Subhashini, Corrado, Greg S., Peng, Lily, Webster, Dale R., Hammel, Naama, Liu, Yun, Varadarajan, Avinash V.

Journal:

Nature Biomedical Engineering

Year:

2019

Language:

english

File:

PDF, 1.94 MB

english, 2019

11

Addendum: International evaluation of an AI system for breast cancer screening

McKinney, Scott Mayer, Sieniek, Marcin, Godbole, Varun, Godwin, Jonathan, Antropova, Natasha, Ashrafian, Hutan, Back, Trevor, Chesus, Mary, Corrado, Greg S., Darzi, Ara, Etemadi, Mozziyar, Garcia-Vice

Journal:

Year:

2020

File:

PDF, 676 KB

2020

12

[IEEE 2009 11th IEEE International Symposium on Multimedia - San Diego, California, USA (2009.12.14-2009.12.16)] 2009 11th IEEE International Symposium on Multimedia - Recursive Sparse, Spatiotemporal Coding

Dean, Thomas, Washington, Rich, Corrado, Greg

Year:

2009

Language:

english

File:

PDF, 388 KB

english, 2009

13

Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India

Gulshan, Varun, Rajan, Renu P., Widner, Kasumi, Wu, Derek, Wubbels, Peter, Rhodes, Tyler, Whitehouse, Kira, Coram, Marc, Corrado, Greg, Ramasamy, Kim, Raman, Rajiv, Peng, Lily, Webster, Dale R.

Journal:

JAMA Ophthalmology

Year:

2019

Language:

english

File:

PDF, 662 KB

english, 2019

14

An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis

Chen, Po-Hsuan Cameron, Gadepalli, Krishna, MacDonald, Robert, Liu, Yun, Kadowaki, Shiro, Nagpal, Kunal, Kohlberger, Timo, Dean, Jeffrey, Corrado, Greg S., Hipp, Jason D., Mermel, Craig H., Stumpe, Ma

Journal:

Nature Medicine

Year:

2019

Language:

english

File:

PDF, 5.28 MB

english, 2019

15

Key challenges for delivering clinical impact with artificial intelligence

Kelly, Christopher J., Karthikesalingam, Alan, Suleyman, Mustafa, Corrado, Greg, King, Dominic

Journal:

Year:

2019

Language:

english

File:

PDF, 577 KB

english, 2019

16

[ACM Press the 2019 CHI Conference - Glasgow, Scotland Uk (2019.05.04-2019.05.09)] Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19 - Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making

Cai, Carrie J., Stumpe, Martin C., Terry, Michael, Reif, Emily, Hegde, Narayan, Hipp, Jason, Kim, Been, Smilkov, Daniel, Wattenberg, Martin, Viegas, Fernanda, Corrado, Greg S.

Year:

2019

Language:

english

File:

PDF, 7.26 MB

english, 2019

17

[ACM Press the 22nd ACM SIGKDD International Conference - San Francisco, California, USA (2016.08.13-2016.08.17)] Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16 - Smart Reply

Kannan, Anjuli, Young, Peter, Ramavajjala, Vivek, Kurach, Karol, Ravi, Sujith, Kaufmann, Tobias, Tomkins, Andrew, Miklos, Balint, Corrado, Greg, Lukacs, Laszlo, Ganea, Marina

Year:

2016

Language:

english

File:

PDF, 1.86 MB

english, 2016

18

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

Nagpal, Kunal, Foote, Davis, Liu, Yun, Chen, Po-Hsuan Cameron, Wulczyn, Ellery, Tan, Fraser, Olson, Niels, Smith, Jenny L., Mohtashamian, Arash, Wren, James H., Corrado, Greg S., MacDonald, Robert, Pe

Journal:

npj Digital Medicine

Year:

2019

File:

PDF, 2.53 MB

2019

19

Stimulus onset quenches neural variability: a widespread cortical phenomenon

Churchland, Mark M, Yu, Byron M, Cunningham, John P, Sugrue, Leo P, Cohen, Marlene R, Corrado, Greg S, Newsome, William T, Clark, Andrew M, Hosseini, Paymon, Scott, Benjamin B, Bradley, David C, Smith

Journal:

Nature Neuroscience

Year:

2010

Language:

english

File:

PDF, 1.62 MB

english, 2010

20

Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales

Iigaya, Kiyohito, Ahmadian, Yashar, Sugrue, Leo P., Corrado, Greg S., Loewenstein, Yonatan, Newsome, William T., Fusi, Stefano

Journal:

Nature Communications

Year:

2019

File:

PDF, 1.65 MB

2019

21

Author Correction: Detection of anaemia from retinal fundus images via deep learning

Mitani, Akinori, Huang, Abigail, Venugopalan, Subhashini, Corrado, Greg S., Peng, Lily, Webster, Dale R., Hammel, Naama, Liu, Yun, Varadarajan, Avinash V.

Journal:

Nature Biomedical Engineering

Year:

2020

Language:

english

File:

PDF, 536 KB

english, 2020

22

The identification of structurally novel, selective, orally bioavailable positive modulators of mGluR2

Pier L. D’Alessandro, Corrado Corti, Adelheid Roth, Annarosa Ugolini, Anna Sava, Dino Montanari, Federica Bianchi, Stephen L. Garland, Ben Powney, Emma L. Koppe, Magalie Rocheville, Greg Osborne, Palo

Journal:

Bioorganic & Medicinal Chemistry Letters

Year:

2010

Language:

english

File:

PDF, 363 KB

english, 2010

23

Neuroeconomics || The Trouble with Choice: Studying Decision Variables in the Brain

Corrado, Greg S.

Year:

2009

Language:

english

File:

PDF, 358 KB

english, 2009

24

DNA methylation during human adipogenesis and the impact of fructose

Tini, Giulia, Varma, Vijayalakshmi, Lombardo, Rosario, Nolen, Greg T., Lefebvre, Gregory, Descombes, Patrick, MÃ©tairon, Sylviane, Priami, Corrado, Kaput, Jim, Scott-Boyer, Marie-Pier

Journal:

Genes & Nutrition

Year:

2020

File:

PDF, 972 KB

2020

25

Linear-Nonlinear-Poisson Models of Primate Choice Dynamics

Corrado, Greg S, Sugrue, Leo P, Sebastian Seung, H, Newsome, William T

Journal:

Journal of the Experimental Analysis of Behavior

Year:

2005

Language:

english

File:

PDF, 536 KB

english, 2005

26

Detection of anaemia from retinal fundus images via deep learning

Mitani, Akinori, Huang, Abigail, Venugopalan, Subhashini, Corrado, Greg S., Peng, Lily, Webster, Dale R., Hammel, Naama, Liu, Yun, Varadarajan, Avinash V.

Journal:

Nature Biomedical Engineering

Year:

2019

File:

PDF, 1.94 MB

2019

27

Measuring circadian function in bipolar disorders: Empirical and conceptual review of physiological, actigraphic, and selfâreport approaches

Murray, Greg, Gottlieb, John, Hidalgo, Maria Paz, Etain, Bruno, Ritter, Philipp, Skene, Debra J., Garbazza, Corrado, Bullock, Ben, Merikangas, Kathleen, Zipunnikov, Vadim, Shou, Haochang, Gonzalez, Ro

Journal:

Bipolar Disorders

Year:

2020

File:

PDF, 1.05 MB

2020

28

Choosing the greater of two goods: neural currencies for valuation and decision making

Sugrue, Leo P., Corrado, Greg S., Newsome, William T.

Journal:

Nature Reviews Neuroscience

Year:

2005

Language:

english

File:

PDF, 618 KB

english, 2005

29

Neuroeconomics || The Trouble with Choice: Studying Decision Variables in the Brain

Corrado, Greg S.

Year:

2009

File:

PDF, 358 KB

2009

30

Predicting the risk of developing diabetic retinopathy using deep learning

Bora, Ashish, Balasubramanian, Siva, Babenko, Boris, Virmani, Sunny, Venugopalan, Subhashini, Mitani, Akinori, de Oliveira Marinho, Guilherme, Cuadros, Jorge, Ruamviboonsuk, Paisan, Corrado, Greg S, P

Journal:

The Lancet Digital Health

Year:

2020

File:

PDF, 2.37 MB

2020

31

Systems view of adipogenesis via novel omics-driven and tissue-specific activity scoring of network functional modules

Nassiri, Isar, Lombardo, Rosario, Lauria, Mario, Morine, Melissa J., Moyseos, Petros, Varma, Vijayalakshmi, Nolen, Greg T., Knox, Bridgett, Sloper, Daniel, Kaput, Jim, Priami, Corrado

Journal:

Scientific Reports

Year:

2016

Language:

english

File:

PDF, 2.62 MB

english, 2016

32

Customization scenarios for de-identification of clinical notes

Hartman, Tzvika, Howell, Michael D., Dean, Jeff, Hoory, Shlomo, Slyper, Ronit, Laish, Itay, Gilon, Oren, Vainstein, Danny, Corrado, Greg, Chou, Katherine, Po, Ming Jack, Williams, Jutta, Ellis, Scott,

Journal:

BMC Medical Informatics and Decision Making

Year:

2020

Language:

english

File:

PDF, 762 KB

english, 2020

33

Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

Nagpal, Kunal, Foote, Davis, Liu, Yun, Chen, Po-Hsuan Cameron, Wulczyn, Ellery, Tan, Fraser, Olson, Niels, Smith, Jenny L., Mohtashamian, Arash, Wren, James H., Corrado, Greg S., MacDonald, Robert, Pe

Journal:

npj Digital Medicine

Year:

2019

File:

PDF, 300 KB

2019

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