Search Results - Robles, Willmer Rafell Quiñones

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  1. 1
    A loss-based patch label denoising method for improving whole-slide image analysis using a convolutional neural network

    A loss-based patch label denoising method for improving whole-slide image analysis using a convolutional neural network by Ashraf, Murtaza, Robles, Willmer Rafell Quiñones, Kim, Mujin, Ko, Young Sin, Yi, Mun Yong

    Published in Scientific reports
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  2. 2
    Improving quality control in the routine practice for histopathological interpretation of gastrointestinal endoscopic biopsies using artificial intelligence

    Improving quality control in the routine practice for histopathological interpretation of gastrointestinal endoscopic biopsies using artificial intelligence by Ko, Young Sin, Choi, Yoo Mi, Kim, Mujin, Park, Youngjin, Ashraf, Murtaza, Quiñones Robles, Willmer Rafell, Kim, Min-Ju, Jang, Jiwook, Yun, Seokju, Hwang, Yuri, Jang, Hani, Yi, Mun Yong

    Published in PloS one
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  3. 3
    A predicted-loss based active learning approach for robust cancer pathology image analysis in the workplace

    A predicted-loss based active learning approach for robust cancer pathology image analysis in the workplace by Kim, Mujin, Quiñones Robles, Willmer Rafell, Ko, Young Sin, Wong, Bryan, Lee, Sol, Yi, Mun Yong

    Published in BMC medical imaging
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  4. 4
    Improving quality control in the routine practice for histopathological interpretation of gastrointestinal endoscopic biopsies using artificial intelligence

    Improving quality control in the routine practice for histopathological interpretation of gastrointestinal endoscopic biopsies using artificial intelligence by Young Sin Ko, Yoo Mi Choi, Mujin Kim, Youngjin Park, Murtaza Ashraf, Willmer Rafell Quiñones Robles, Min-Ju Kim, Jiwook Jang, Seokju Yun, Yuri Hwang, Hani Jang, Mun Yong Yi

    Published in PloS one
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