Hasil Pencarian - Robyn L. Ball

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  1. 1
    Mortality Prediction Analysis among COVID-19 Inpatients Using Clinical Variables and Deep Learning Chest Radiography Imaging Features

    Mortality Prediction Analysis among COVID-19 Inpatients Using Clinical Variables and Deep Learning Chest Radiography Imaging Features oleh Xuan V. Nguyen, Engin Dikici, Sema Candemir, Robyn L. Ball, Luciano M. Prevedello

    Diterbitkan 2022-07-01
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  2. 2
    A statistical approach to identify optimal inclusion criteria: An application to acute stroke clinical trials

    A statistical approach to identify optimal inclusion criteria: An application to acute stroke clinical trials oleh Robyn L. Ball, Bin Jiang, Manisha Desai, Patrik Michel, Ashraf Eskandari, Tudor Jovin, Max Wintermark

    Diterbitkan 2019-06-01
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  3. 3
    CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV

    CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV oleh Pranav Rajpurkar, Chloe O’Connell, Amit Schechter, Nishit Asnani, Jason Li, Amirhossein Kiani, Robyn L. Ball, Marc Mendelson, Gary Maartens, Daniël J. van Hoving, Rulan Griesel, Andrew Y. Ng, Tom H. Boyles, Matthew P. Lungren

    Diterbitkan 2020-09-01
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  4. 4
    Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

    Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging oleh Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren

    Diterbitkan 2020-07-01
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  5. 5
    PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

    PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging oleh Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren

    Diterbitkan 2020-04-01
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  6. 6
    Evaluation of a Smartphone Decision-Support Tool for Diarrheal Disease Management in a Resource-Limited Setting.

    Evaluation of a Smartphone Decision-Support Tool for Diarrheal Disease Management in a Resource-Limited Setting. oleh Farhana Haque, Robyn L Ball, Selina Khatun, Mujaddeed Ahmed, Saraswati Kache, Mohammod Jobayer Chisti, Shafiqul Alam Sarker, Stace D Maples, Dane Pieri, Teja Vardhan Korrapati, Clea Sarnquist, Nancy Federspiel, Muhammad Waliur Rahman, Jason R Andrews, Mahmudur Rahman, Eric Jorge Nelson

    Diterbitkan 2017-01-01
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  7. 7
    A genetic locus complements resistance to Bordetella pertussis-induced histamine sensitization

    A genetic locus complements resistance to Bordetella pertussis-induced histamine sensitization oleh Abbas Raza, Sean A. Diehl, Dimitry N. Krementsov, Laure K. Case, Dawei Li, Jason Kost, Robyn L. Ball, Elissa J. Chesler, Vivek M. Philip, Rui Huang, Yan Chen, Runlin Ma, Anna L. Tyler, J. Matthew Mahoney, Elizabeth P. Blankenhorn, Cory Teuscher

    Diterbitkan 2023-03-01
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  8. 8
    Impact of a deep learning assistant on the histopathologic classification of liver cancer

    Impact of a deep learning assistant on the histopathologic classification of liver cancer oleh Amirhossein Kiani, Bora Uyumazturk, Pranav Rajpurkar, Alex Wang, Rebecca Gao, Erik Jones, Yifan Yu, Curtis P. Langlotz, Robyn L. Ball, Thomas J. Montine, Brock A. Martin, Gerald J. Berry, Michael G. Ozawa, Florette K. Hazard, Ryanne A. Brown, Simon B. Chen, Mona Wood, Libby S. Allard, Lourdes Ylagan, Andrew Y. Ng, Jeanne Shen

    Diterbitkan 2020-02-01
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  9. 9
    Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.

    Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists. oleh Pranav Rajpurkar, Jeremy Irvin, Robyn L Ball, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis P Langlotz, Bhavik N Patel, Kristen W Yeom, Katie Shpanskaya, Francis G Blankenberg, Jayne Seekins, Timothy J Amrhein, David A Mong, Safwan S Halabi, Evan J Zucker, Andrew Y Ng, Matthew P Lungren

    Diterbitkan 2018-11-01
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  10. 10
    Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

    Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet. oleh Nicholas Bien, Pranav Rajpurkar, Robyn L Ball, Jeremy Irvin, Allison Park, Erik Jones, Michael Bereket, Bhavik N Patel, Kristen W Yeom, Katie Shpanskaya, Safwan Halabi, Evan Zucker, Gary Fanton, Derek F Amanatullah, Christopher F Beaulieu, Geoffrey M Riley, Russell J Stewart, Francis G Blankenberg, David B Larson, Ricky H Jones, Curtis P Langlotz, Andrew Y Ng, Matthew P Lungren

    Diterbitkan 2018-11-01
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