Resultados da busca - Po-Hsuan Cameron Chen

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  1. 1
    Evaluation of artificial intelligence on a reference standard based on subjective interpretation

    Evaluation of artificial intelligence on a reference standard based on subjective interpretation por Po-Hsuan Cameron Chen, Craig H. Mermel, Yun Liu

    Publicado em 2021
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  2. 2
    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 por 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

    Publicado em 2023
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  3. 3
    Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

    Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer por Kunal Nagpal, Davis Foote, Yun Liu, Po-Hsuan Cameron Chen, Ellery Wulczyn, Fraser Elisabeth Tan, Niels Olson, Jenny L. Smith, Arash Mohtashamian, James H. Wren, Greg S. Corrado, Robert MacDonald, Lily H. Peng, Mahul B. Amin, Andrew Evans, Ankur R. Sangoi, Craig H. Mermel, Jason Hipp, Martin C. Stumpe

    Publicado em 2019
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  4. 4
    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 por Justin D. Krogue, Shekoofeh Azizi, Fraser Elisabeth 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 J. Montine, Jeanne Shen, David F. Steiner, Ellery Wulczyn

    Publicado em 2023
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  5. 5
    Assessment of Pathology Domain-Specific Knowledge of ChatGPT and Comparison to Human Performance

    Assessment of Pathology Domain-Specific Knowledge of ChatGPT and Comparison to Human Performance por Andrew Y. Wang, Sherman Lin, Christopher Tran, Robert Homer, Dan Wilsdon, Joanna C. Walsh, Emily A. Goebel, Irene Sansano, Snehal Sonawane, Vincent Cockenpot, Sanjay Mukhopadhyay, Toros Taşkın, Nusrat Zahra, Luca Cima, Orhan Semerci, Birsen Gizem Özamrak, Pallavi Mishra, Naga Sarika Vennavalli, Po-Hsuan Cameron Chen, Matthew J. Cecchini

    Publicado em 2024
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  6. 6
    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 por Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy, Charles T. Lau, Edward Santos, Atilla P. Kiraly, Wenxing Ye, Jie Yang, Rory Pilgrim, Sahar Kazemzadeh, Yu Jin, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Florencia Garcia-Vicente, David Melnick, Greg S. Corrado, Lily Peng, Krishnan Eswaran, Daniel Tse, Neeral Beladia, Yun Liu, Po-Hsuan Cameron Chen, Shravya Shetty

    Publicado em 2021
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  7. 7
    Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies

    Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies por David F. Steiner, Kunal Nagpal, Rory Sayres, Davis Foote, Benjamin D. Wedin, Adam Pearce, Carrie J. Cai, Samantha Winter, Matthew R. E. Symonds, Liron Yatziv, Andrei Kapishnikov, Trissia Brown, Isabelle Flament-Auvigne, Fraser Elisabeth Tan, Martin C. Stumpe, Pan-Pan Jiang, Yun Liu, Po-Hsuan Cameron Chen, Greg S. Corrado, Michael Terry, Craig H. Mermel

    Publicado em 2020
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  8. 8
    Interpretable survival prediction for colorectal cancer using deep learning

    Interpretable survival prediction for colorectal cancer using deep learning por Ellery Wulczyn, David F. Steiner, Melissa Moran, Markus Plass, Robert Reihs, Fraser Elisabeth 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

    Publicado em 2021
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  9. 9
    Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading

    Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading por Ellery Wulczyn, Kunal Nagpal, Matthew R. E. Symonds, Melissa Moran, Markus Plass, Robert Reihs, Farah Nader, Fraser Elisabeth Tan, Yuannan Cai, Trissia Brown, Isabelle Flament-Auvigne, Mahul B. Amin, Martin C. Stumpe, Heimo Müller, Peter Regitnig, Andreas Holzinger, Greg S. Corrado, Lily H. Peng, Po-Hsuan Cameron Chen, David F. Steiner, Kurt Zatloukal, Yun Liu, Craig H. Mermel

    Publicado em 2021
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  10. 10
    Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study

    Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study por Mike Schaekermann, Terry Spitz, M.N. Pyles, Heather Cole-Lewis, Ellery Wulczyn, Stephen Pfohl, Donald Martin, Ronnachai Jaroensri, Geoff Keeling, Yuan Liu, Stephanie Farquhar, Qinghan Xue, Jenna Lester, Cían Hughes, Patricia H. Strachan, Fraser Elisabeth Tan, Peggy Bui, Craig H. Mermel, Lily H. Peng, Yossi Matias, Greg S. Corrado, Dale R. Webster, Sunny Virmani, Christopher Semturs, Yun Liu, Ivor B. Horn, Po-Hsuan Cameron Chen

    Publicado em 2024
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  11. 11
    Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens

    Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens por Kunal Nagpal, Davis Foote, Fraser Elisabeth Tan, Yun Liu, Po-Hsuan Cameron Chen, David F. Steiner, Naren Sarayu Manoj, Niels Olson, Jenny L. Smith, Arash Mohtashamian, Brandon Peterson, Mahul B. Amin, Andrew Evans, Joan W. Sweet, Carol C. Cheung, Theodorus van der Kwast, Ankur R. Sangoi, Ming Zhou, Robert W. Allan, Peter A. Humphrey, Jason Hipp, Krishna Gadepalli, Greg S. Corrado, Lily H. Peng, Martin C. Stumpe, Craig H. Mermel

    Publicado em 2020
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  12. 12
    Robust and Efficient Medical Imaging with Self-Supervision

    Robust and Efficient Medical Imaging with Self-Supervision por Shekoofeh Azizi, Laura Culp, Jan Freyberg, Basil Mustafa, Sebastien Baur, Simon Kornblith, Ting Chen, Patricia MacWilliams, S. Sara Mahdavi, Ellery Wulczyn, Boris Babenko, Megan Wilson, Aaron Loh, Po-Hsuan Cameron Chen, Yuan Liu, Pinal Bavishi, Scott Mayer McKinney, Jim Winkens, Abhijit Guha Roy, Zach Beaver, Fiona Ryan, Justin D. Krogue, Mozziyar Etemadi, Umesh Telang, Yun Liu, Lily Peng, Greg S. Corrado, Dale R. Webster, David J. Fleet, Geoffrey E. Hinton, Neil Houlsby, Alan Karthikesalingam, Mohammad Norouzi, Vivek Natarajan

    Publicado em 2022
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  13. 13
    BrainIAK: The Brain Imaging Analysis Kit

    BrainIAK: The Brain Imaging Analysis Kit por Manoj Kumar, Michael J. Anderson, James W. Antony, Christopher Baldassano, Paula P. Brooks, Ming Bo Cai, Po-Hsuan Cameron Chen, Cameron T. Ellis, Gregory Henselman‐Petrusek, David M. Huberdeau, Ben Hutchinson, Y. Peeta Li, Qihong Lu, Jeremy R. Manning, Anne C. Mennen, Samuel A. Nastase, Hugo Richard, Anna C. Schapiro, Nicolas W. Schuck, Michael Shvartsman, Narayanan Sundaram, Daniel Suo, Javier S. Turek, David Turner, Vy A. Vo, Grant Wallace, Yida Wang, Jamal A. Williams, Hejia Zhang, Xia Zhu, Mihai Capotă, Jonathan D. Cohen, Uri Hasson, Kai Li, Peter J. Ramadge, Nicholas B. Turk‐Browne, Theodore L. Willke, Kenneth A. Norman

    Publicado em 2022
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  14. 14
    Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

    Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge por Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen, Peter Ström, Hans Pinckaers, Kunal Nagpal, Yuannan Cai, David F. Steiner, Hester van Boven, Robert Vink, Christina Hulsbergen‐van de Kaa, Jeroen van der Laak, Mahul B. Amin, Andrew Evans, Theodorus van der Kwast, Robert W. Allan, Peter A. Humphrey, Henrik Grönberg, Hemamali Samaratunga, Brett Delahunt, Toyonori Tsuzuki, Tomi Häkkinen, Lars Egevad, Maggie Demkin, Sohier Dane, Fraser Elisabeth Tan, Masi Valkonen, Greg S. Corrado, Lily Peng, Craig H. Mermel, Pekka Ruusuvuori, Geert Litjens, Martin Eklund, Américo Brilhante, Aslı Çakır, Xavier Farré, Katerina Geronatsiou, Vincent Molinié, Guilherme Luís Pereira, Paromita Roy, Günter Saile, Paulo G. O. Salles, Ewout Schaafsma, Joëlle Tschui, Jorge Billoch-Lima, Emíio M. Pereira, Ming Zhou, Shujun He, Sejun Song, Qing Sun, Hiroshi Yoshihara, Taiki Yamaguchi, Kosaku Ono, Tao Shen, Jianyi Ji, Arnaud Roussel, Kai-rong Zhou, Tianrui Chai, Nina Weng, Dmitry A. Grechka, Maxim V. Shugaev, Raphael Kiminya, Vassili Kovalev, Dmitry Voynov, Valery Malyshev, Elizabeth Lapo, Manuel Campos, Noriaki Ota, Shinsuke Yamaoka, Yusuke Fujimoto, Kentaro Yoshioka, Joni Juvonen, Mikko Tukiainen, Antti Karlsson, Rui Guo, Chia-Lun Hsieh, Igor Zubarev, Habib S. T. Bukhar, Wenyuan Li, Jiayun Li, William Speier, Corey Arnold, Kyungdoc Kim, Byeonguk Bae, Yeong Won Kim, Hong-Seok Lee, Jeonghyuk Park

    Publicado em 2022
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