Resultats de la cerca - Dale R. Webster

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  1. 1
    Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy

    Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy per Jonathan Krause, Varun Gulshan, Ehsan Rahimy, Peter A. Karth, Kasumi Widner, Greg S. Corrado, Lily Peng, Dale R. Webster

    Publicat 2018
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  2. 2
    Detection of anaemia from retinal fundus images via deep learning

    Detection of anaemia from retinal fundus images via deep learning per Akinori Mitani, Abigail E. Huang, Subhashini Venugopalan, Greg S. Corrado, Lily Peng, Dale R. Webster, Naama Hammel, Yun Liu, Avinash V. Varadarajan

    Publicat 2019
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  3. 3
    Direct detection of DNA methylation during single-molecule, real-time sequencing

    Direct detection of DNA methylation during single-molecule, real-time sequencing per Benjamin A. Flusberg, Dale R. Webster, Jessica H. Lee, Kevin Travers, Eric C. Olivares, Tyson A. Clark, Jonas Korlach, Stephen W. Turner

    Publicat 2010
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  4. 4
    Deep Learning for Predicting Refractive Error From Retinal Fundus Images

    Deep Learning for Predicting Refractive Error From Retinal Fundus Images per Avinash V. Varadarajan, Ryan Poplin, Katy Blumer, Christof Angermueller, Joe Ledsam, Reena Chopra, Pearse A. Keane, Greg S. Corrado, Lily Peng, Dale R. Webster

    Publicat 2018
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  5. 5
    Distinguishing Molecular Features and Clinical Characteristics of a Putative New Rhinovirus Species, Human Rhinovirus C (HRV C)

    Distinguishing Molecular Features and Clinical Characteristics of a Putative New Rhinovirus Species, Human Rhinovirus C (HRV C) per Peter McErlean, Laura A. Shackelton, Emily C. Andrews, Dale R. Webster, Stephen B. Lambert, Michael D. Nissen, Theo P. Sloots, Ian M Mackay

    Publicat 2008
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  6. 6
    Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India

    Performance of a Deep-Learning Algorithm vs Manual Grading for Detecting Diabetic Retinopathy in India per Varun Gulshan, Renu P. Rajan, Kasumi Widner, Derek Wu, Peter Wubbels, Tyler Rhodes, Kira Whitehouse, Marc Coram, Greg S. Corrado, Kim Ramasamy, Rajiv Raman, Lily Peng, Dale R. Webster

    Publicat 2019
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  7. 7
    Detection of signs of disease in external photographs of the eyes via deep learning

    Detection of signs of disease in external photographs of the eyes via deep learning per Boris Babenko, Akinori Mitani, Ilana Traynis, Naho Kitade, Preeti Singh, April Y. Maa, Jorge Cuadros, Greg S. Corrado, Lily Peng, Dale R. Webster, Avinash V. Varadarajan, Naama Hammel, Yun Liu

    Publicat 2022
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  8. 8
    Deep learning in ophthalmology: The technical and clinical considerations

    Deep learning in ophthalmology: The technical and clinical considerations per Daniel Shu Wei Ting, Lily Peng, Avinash V. Varadarajan, Pearse A. Keane, Philippe Burlina, Michael F. Chiang, Leopold Schmetterer, Louis R. Pasquale, Neil M. Bressler, Dale R. Webster, Michael D. Abràmoff, Tien Yin Wong

    Publicat 2019
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  9. 9
    Predicting the risk of developing diabetic retinopathy using deep learning

    Predicting the risk of developing diabetic retinopathy using deep learning per Ashish Bora, Siva Balasubramanian, Boris Babenko, Sunny Virmani, Subhashini Venugopalan, Akinori Mitani, Guilherme de Oliveira Marinho, Jorge Cuadros, Paisan Ruamviboonsuk, Greg S. Corrado, Lily Peng, Dale R. Webster, Avinash V. Varadarajan, Naama Hammel, Yun Liu, Pinal Bavishi

    Publicat 2020
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  10. 10
    Performance of a Deep Learning Diabetic Retinopathy Algorithm in India

    Performance of a Deep Learning Diabetic Retinopathy Algorithm in India per Arthur Brant, Preeti Singh, Xiang Yin, Yang Lu, Jay Nayar, Divleen Jeji, Yossi Matias, Greg S. Corrado, Dale R. Webster, Sunny Virmani, Anchintha Meenu, Naresh Babu, Jonathan Krause, Florence Thng, Lily Peng, Yun Liu, Kasumi Widner, Kim Ramasamy

    Publicat 2025
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  11. 11
    Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy

    Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy per Rory Sayres, Ankur Taly, Ehsan Rahimy, Katy Blumer, David Coz, Naama Hammel, Jonathan Krause, Arunachalam Narayanaswamy, Zahra Rastegar, Derek Wu, Shawn Xu, Scott Barb, Anthony Joseph, Michael Shumski, Jesse M. Smith, Arjun B. Sood, Greg S. Corrado, Lily Peng, Dale R. Webster

    Publicat 2018
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  12. 12
    Pathologist Validation of a Machine Learning–Derived Feature for Colon Cancer Risk Stratification

    Pathologist Validation of a Machine Learning–Derived Feature for Colon Cancer Risk Stratification per Vincenzo L’Imperio, Ellery Wulczyn, Markus Plass, Heimo Müller, Nicolò Tamini, Luca Gianotti, Nicola Zucchini, Robert Reihs, Greg S. Corrado, Dale R. Webster, Lily H. Peng, Po-Hsuan Cameron Chen, Marialuisa Lavitrano, Yun Liu, David F. Steiner, Kurt Zatloukal, Fabio Pagni

    Publicat 2023
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  13. 13
    Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM

    Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM per Brenna Li, Amy Wang, P. D. Strachan, Julie Anne Séguin, Sami Lachgar, Karyn C Schroeder, Mathias S. Fleck, Renee Wong, Alan Karthikesalingam, Vivek Natarajan, Yossi Matias, Greg S. Corrado, Dale R. Webster, Yun Liu, Naama Hammel, Rory Sayres, Christopher Semturs, Mike Schaekermann

    Publicat 2024
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  14. 14
    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 per Avinash V. Varadarajan, Pinal Bavishi, Paisan Ruamviboonsuk, Peranut Chotcomwongse, Subhashini Venugopalan, Arunachalam Narayanaswamy, Jorge Cuadros, Kuniyoshi Kanai, George H. Bresnick, Mongkol Tadarati, Sukhum Silpa‐archa, Jirawut Limwattanayingyong, Variya Nganthavee, Joseph R. Ledsam, Pearse A. Keane, Greg S. Corrado, Lily Peng, Dale R. Webster

    Publicat 2020
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  15. 15
    A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study

    A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study per Boris Babenko, Ilana Traynis, Christina Chen, Preeti Singh, Akib Uddin, Jorge Cuadros, Lauren P. Daskivich, April Y. Maa, Kim Ramasamy, Eugene Yu‐Chuan Kang, Yossi Matias, Greg S. Corrado, Lily Peng, Dale R. Webster, Christopher Semturs, Jonathan Krause, Avinash V. Varadarajan, Naama Hammel, Yun Liu

    Publicat 2023
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  16. 16
    The Origin of the Haitian Cholera Outbreak Strain

    The Origin of the Haitian Cholera Outbreak Strain per Chen-Shan Chin, Jon M. Sorenson, Jason B. Harris, William P. Robins, Richelle C. Charles, Roger R. Jean‐Charles, James W. Bullard, Dale R. Webster, Andrew Kasarskis, Paul Peluso, Ellen E. Paxinos, Yoshiharu Yamaichi, Stephen B. Calderwood, John J. Mekalanos, Eric E. Schadt, Matthew K. Waldor

    Publicat 2010
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  17. 17
    Deep Learning and Glaucoma Specialists

    Deep Learning and Glaucoma Specialists per Sonia Phene, R. Carter Dunn, Naama Hammel, Yun Liu, Jonathan Krause, Naho Kitade, Mike Schaekermann, Rory Sayres, Derek J. Wu, Ashish Bora, Christopher Semturs, Anita Misra, Abigail E. Huang, Arielle Spitze, Felipe A. Medeiros, April Y. Maa, Monica Gandhi, Greg S. Corrado, Lily Peng, Dale R. Webster

    Publicat 2019
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  18. 18
    Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices

    Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices per Ayush Jain, David H. Way, Vishakha Gupta, Yi Gao, Guilherme de Oliveira Marinho, Jay Hartford, Rory Sayres, Kimberly Kanada, Clara Eng, Kunal Nagpal, Karen B. DeSalvo, Greg S. Corrado, Lily Peng, Dale R. Webster, R. Carter Dunn, David Coz, Susan S. Huang, Yun Liu, Peggy Bui, Yuan Liu

    Publicat 2021
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  19. 19
    An intentional approach to managing bias in general purpose embedding models

    An intentional approach to managing bias in general purpose embedding models per Wei‐Hung Weng, Andrew Sellergen, Atilla P. Kiraly, Alexander D’Amour, Jungyeon Park, Rory Pilgrim, Stephen Pfohl, Charles T. Lau, Vivek Natarajan, Shekoofeh Azizi, Alan Karthikesalingam, Heather Cole-Lewis, Yossi Matias, Greg S. Corrado, Dale R. Webster, Shravya Shetty, Shruthi Prabhakara, Krishnan Eswaran, Leo Anthony Celi, Yun Liu

    Publicat 2024
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  20. 20
    A deep learning system for differential diagnosis of skin diseases

    A deep learning system for differential diagnosis of skin diseases per Yuan Liu, Ayush Jain, Clara Eng, David H. Way, Kang Lee, Peggy Bui, Kimberly Kanada, Guilherme de Oliveira Marinho, Jessica Gallegos, Sara Gabriele, Vishakha Gupta, Nalini Singh, Vivek Natarajan, Rainer Hofmann‐Wellenhof, Greg S. Corrado, Lily H. Peng, Dale R. Webster, Dennis Ai, Susan S. Huang, Yun Liu, R. Carter Dunn, David Coz

    Publicat 2020
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