Hasil Pencarian - Greg S Corrado

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  1. 1
    Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales

    Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales oleh Kiyohito Iigaya, Yashar Ahmadian, Leo P. Sugrue, Greg S. Corrado, Yonatan Loewenstein, William T. Newsome, Stefano Fusi

    Diterbitkan 2019-04-01
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  2. 2
    Predicting cardiovascular disease risk using photoplethysmography and deep learning.

    Predicting cardiovascular disease risk using photoplethysmography and deep learning. oleh Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y McLean, Yossi Matias, Greg S Corrado, Shravya Shetty, Shruthi Prabhakara, Yun Liu, Goodarz Danaei, Diego Ardila

    Diterbitkan 2024-01-01
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  3. 3
    Using generative AI to investigate medical imagery models and datasetsResearch in context

    Using generative AI to investigate medical imagery models and datasetsResearch in context oleh Oran Lang, Doron Yaya-Stupp, Ilana Traynis, Heather Cole-Lewis, Chloe R. Bennett, Courtney R. Lyles, Charles Lau, Michal Irani, Christopher Semturs, Dale R. Webster, Greg S. Corrado, Avinatan Hassidim, Yossi Matias, Yun Liu, Naama Hammel, Boris Babenko

    Diterbitkan 2024-04-01
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  4. 4
    Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

    Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning oleh Avinash V. Varadarajan, Pinal Bavishi, Paisan Ruamviboonsuk, Peranut Chotcomwongse, Subhashini Venugopalan, Arunachalam Narayanaswamy, Jorge Cuadros, Kuniyoshi Kanai, George Bresnick, Mongkol Tadarati, Sukhum Silpa-archa, Jirawut Limwattanayingyong, Variya Nganthavee, Joseph R. Ledsam, Pearse A. Keane, Greg S. Corrado, Lily Peng, Dale R. Webster

    Diterbitkan 2020-01-01
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  5. 5
    Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning

    Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning oleh Justin D. Krogue, Shekoofeh Azizi, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Markus Plass, Robert Reihs, Heimo Müller, Kurt Zatloukal, Pema Richeson, Greg S. Corrado, Lily H. Peng, Craig H. Mermel, Yun Liu, Po-Hsuan Cameron Chen, Saurabh Gombar, Thomas Montine, Jeanne Shen, David F. Steiner, Ellery Wulczyn

    Diterbitkan 2023-04-01
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  6. 6
    Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithms

    Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithms oleh Sean Bae, Silviu Borac, Yunus Emre, Jonathan Wang, Jiang Wu, Mehr Kashyap, Si-Hyuck Kang, Liwen Chen, Melissa Moran, Julie Cannon, Eric S. Teasley, Allen Chai, Yun Liu, Neal Wadhwa, Michael Krainin, Michael Rubinstein, Alejandra Maciel, Michael V. McConnell, Shwetak Patel, Greg S. Corrado, James A. Taylor, Jiening Zhan, Ming Jack Po

    Diterbitkan 2022-04-01
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  7. 7
    Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19

    Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19 oleh Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy, Charles Lau, Edward Santos, Atilla P. Kiraly, Wenxing Ye, Jie Yang, Rory Pilgrim, Sahar Kazemzadeh, Jin Yu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Florencia Garcia-Vicente, David Melnick, Greg S. Corrado, Lily Peng, Krish Eswaran, Daniel Tse, Neeral Beladia, Yun Liu, Po-Hsuan Cameron Chen, Shravya Shetty

    Diterbitkan 2021-09-01
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  8. 8
    Interpretable survival prediction for colorectal cancer using deep learning

    Interpretable survival prediction for colorectal cancer using deep learning oleh Ellery Wulczyn, David F. Steiner, Melissa Moran, Markus Plass, Robert Reihs, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Peter Regitnig, Po-Hsuan Cameron Chen, Narayan Hegde, Apaar Sadhwani, Robert MacDonald, Benny Ayalew, Greg S. Corrado, Lily H. Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yun Liu, Martin C. Stumpe, Kurt Zatloukal, Craig H. Mermel

    Diterbitkan 2021-04-01
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  9. 9
    Deep learning models for histologic grading of breast cancer and association with disease prognosis

    Deep learning models for histologic grading of breast cancer and association with disease prognosis oleh Ronnachai Jaroensri, Ellery Wulczyn, Narayan Hegde, Trissia Brown, Isabelle Flament-Auvigne, Fraser Tan, Yuannan Cai, Kunal Nagpal, Emad A. Rakha, David J. Dabbs, Niels Olson, James H. Wren, Elaine E. Thompson, Erik Seetao, Carrie Robinson, Melissa Miao, Fabien Beckers, Greg S. Corrado, Lily H. Peng, Craig H. Mermel, Yun Liu, David F. Steiner, Po-Hsuan Cameron Chen

    Diterbitkan 2022-10-01
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  10. 10
    Scalable and accurate deep learning with electronic health records

    Scalable and accurate deep learning with electronic health records oleh Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, Xiaobing Liu, Jake Marcus, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E. Duggan, Jamie Irvine, Quoc Le, Kurt Litsch, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Greg S. Corrado, Jeffrey Dean

    Diterbitkan 2018-05-01
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  11. 11
    Differences Between Patient and Clinician-Taken Images: Implications for Virtual Care of Skin Conditions

    Differences Between Patient and Clinician-Taken Images: Implications for Virtual Care of Skin Conditions oleh Rajeev V. Rikhye, PhD, Grace Eunhae Hong, BA, Preeti Singh, MS, Margaret Ann Smith, MBA, Aaron Loh, MS, Vijaytha Muralidharan, MD, Doris Wong, BS, Rory Sayres, PhD, Michelle Phung, MS, Nicolas Betancourt, MD, Bradley Fong, BS, Rachna Sahasrabudhe, BA, Khoban Nasim, BS, Alec Eschholz, BA, Yossi Matias, PhD, Greg S. Corrado, PhD, Katherine Chou, MS, Dale R. Webster, PhD, Peggy Bui, MD, MBA, Yuan Liu, PhD, Yun Liu, PhD, Justin Ko, MD, MBA, Steven Lin, MD

    Diterbitkan 2024-03-01
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