publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2023

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    ChatGPT and other large language models are double-edged swords
    Yiqiu Shen, Laura Heacock, Jonathan Elias, Keith D Hentel, Beatriu Reig, and 2 more authors
    Radiology, 2023
    PDF Blog
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    Multiple instance learning via iterative self-paced supervised contrastive learning
    Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, and 2 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
    PDF Code

2022

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    Adaptive early-learning correction for segmentation from noisy annotations
    Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, and Carlos Fernandez-Granda
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
    PDF Code

2021

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    Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
    Yiqiu Shen, Farah E Shamout, Jamie R Oliver, Jan Witowski, Kawshik Kannan, and 6 more authors
    Nature communications, 2021
    PDF Blog
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    An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
    Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, and 6 more authors
    Medical image analysis, 2021
    PDF Code
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    An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
    Farah E Shamout*, Yiqiu Shen*, Nan Wu*, Aakash Kaku*, Jungkyu Park*, and 6 more authors
    NPJ digital medicine, 2021
    PDF Blog
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    Reducing false-positive biopsies using deep neural networks that utilize both local and global image context of screening mammograms
    Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, and 6 more authors
    Journal of Digital Imaging, 2021
    PDF
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    Weakly-supervised high-resolution segmentation of mammography images for breast cancer diagnosis
    Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Chłędowski, Carlos Fernandez-Granda, and 1 more author
    Proceedings of machine learning research, 2021
    PDF Code

2020

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    Prediction of total knee replacement and diagnosis of osteoarthritis by using deep learning on knee radiographs: data from the osteoarthritis initiative
    Kevin Leung, Bofei Zhang, Jimin Tan, Yiqiu Shen, Krzysztof J Geras, and 4 more authors
    Radiology, 2020
    PDF

2019

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    Globally-aware multiple instance classifier for breast cancer screening
    Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Gene Kim, and 3 more authors
    In Machine Learning in Medical Imaging 2019, 2019
    PDF
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    Deep neural networks improve radiologists’ performance in breast cancer screening
    Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, and 6 more authors
    IEEE transactions on medical imaging, 2019
    PDF
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    Screening Mammogram Classification with Prior Exams
    Jungkyu Park, Jason Phang, Yiqiu Shen, Nan Wu, S Kim, and 3 more authors
    arXiv, 2019
    PDF

2018

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    Breast density classification with deep convolutional neural networks
    Nan Wu, Krzysztof J Geras, Yiqiu Shen, Jingyi Su, S Gene Kim, and 4 more authors
    In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, 2018
    PDF

2017

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    High-resolution breast cancer screening with multi-view deep convolutional neural networks
    Krzysztof J Geras, Stacey Wolfson, Yiqiu Shen, Nan Wu, S Kim, and 5 more authors
    arXiv, 2017
    PDF