Yiqiu Shen
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Deep neural networks improve radiologists’ performance in breast cancer screening
N Wu, J Phang, J Park, Y Shen, Z Huang, M Zorin, S Jastrzębski, T Févry, ...
IEEE transactions on medical imaging 39 (4), 1184-1194, 2019
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks
KJ Geras, S Wolfson, Y Shen, S Kim, L Moy, K Cho
arXiv preprint arXiv:1703.07047, 2017
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...
JAMA network open 3 (3), e200265-e200265, 2020
Breast density classification with deep convolutional neural networks
N Wu, KJ Geras, Y Shen, J Su, SG Kim, E Kim, S Wolfson, L Moy, K Cho
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Y Shen, N Wu, J Phang, J Park, K Liu, S Tyagi, L Heacock, SG Kim, L Moy, ...
Medical image analysis 68, 101908, 2021
Globally-aware multiple instance classifier for breast cancer screening
Y Shen, N Wu, J Phang, J Park, G Kim, L Moy, K Cho, KJ Geras
International Workshop on Machine Learning in Medical Imaging, 18-26, 2019
The NYU breast cancer screening dataset v1
N Wu, J Phang, J Park, Y Shen, SG Kim, L Heacock, L Moy, K Cho, ...
New York Univ., New York, NY, USA, Tech. Rep, 2019
High-resolution breast cancer screening with multi-view deep convolutional neural networks. 2017
KJ Geras, S Wolfson, Y Shen
arXiv preprint arXiv:1703.07047, 2018
Prediction of total knee replacement and diagnosis of osteoarthritis by using deep learning on knee radiographs: data from the osteoarthritis initiative
K Leung, B Zhang, J Tan, Y Shen, KJ Geras, JS Babb, K Cho, G Chang, ...
Radiology 296 (3), 584-593, 2020
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
FE Shamout, Y Shen, N Wu, A Kaku, J Park, T Makino, S Jastrzębski, ...
arXiv preprint arXiv:2008.01774, 2020
Screening Mammogram Classification with Prior Exams
J Park, J Phang, Y Shen, N Wu, S Kim, L Moy, K Cho, KJ Geras
arXiv preprint arXiv:1907.13057, 2019
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
K Liu, Y Shen, N Wu, C Fernandez-Granda, KJ Geras
Artificial Intelligence System Reduces False-Positive Findings in the Interpretation of Breast Ultrasound Exams
Y Shen, FE Shamout, JR Oliver, J Witowski, K Kannan, J Park, N Wu, ...
medRxiv, 2021
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms
N Wu, Z Huang, Y Shen, J Park, J Phang, T Makino, S Kim, K Cho, ...
arXiv preprint arXiv:2009.09282, 2020
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