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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
5542019
ChatGPT and other large language models are double-edged swords
Y Shen, L Heacock, J Elias, KD Hentel, B Reig, G Shih, L Moy
Radiology 307 (2), e230163, 2023
4272023
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
3082020
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
2672017
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
1472021
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, ...
Nature Communications 12 (1), 2021
1232021
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, ...
NPJ digital medicine 4 (1), 80, 2021
1172021
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
1162020
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
962018
Adaptive early-learning correction for segmentation from noisy annotations
S Liu, K Liu, W Zhu, Y Shen, C Fernandez-Granda
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
682022
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
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019
332019
The NYU breast cancer screening dataset V1. 0
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
312019
Weakly-supervised high-resolution segmentation of mammography images for breast cancer diagnosis
K Liu, Y Shen, N Wu, J Chłędowski, C Fernandez-Granda, KJ Geras
Proceedings of machine learning research 143, 268, 2021
242021
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms. JAMA Netw Open. 2020; 3 (3): e200265
T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...
182020
High-resolution breast cancer screening with multi-view deep convolutional neural networks. arXiv 2017
KJ Geras, S Wolfson, Y Shen, N Wu, S Kim, E Kim, L Heacock, U Parikh, ...
arXiv preprint arXiv:1703.07047, 2019
122019
Multiple instance learning via iterative self-paced supervised contrastive learning
K Liu, W Zhu, Y Shen, S Liu, N Razavian, KJ Geras, C Fernandez-Granda
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
112023
Reducing false-positive biopsies using deep neural networks that utilize both local and global image context of screening mammograms
N Wu, Z Huang, Y Shen, J Park, J Phang, T Makino, S Gene Kim, K Cho, ...
Journal of Digital Imaging 34, 1414-1423, 2021
62021
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
52020
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
52019
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department (preprint)
FE Shamout, Y Shen, N Wu, A Kaku, J Park, T Makino, S Jastrzębski, ...
32020
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