Nan Wu
TitleCited byYear
High-resolution breast cancer screening with multi-view deep convolutional neural networks
KJ Geras, S Wolfson, Y Shen, N Wu, S Kim, E Kim, L Heacock, U Parikh, ...
arXiv preprint arXiv:1703.07047, 2017
812017
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
212018
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, 2019
202019
The NYU breast cancer screening dataset v1
N Wu, J Phang, J Park, Y Shen, SG Kim, L Heacock, L Moy, K Cho, ...
0. Technical report, 2019. Available at https://cs. nyu. edu/~ kgeras …, 2019
32019
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
12019
Improving localization-based approaches for breast cancer screening exam classification
T Févry, J Phang, N Wu, S Kim, L Moy, K Cho, KJ Geras
arXiv preprint arXiv:1908.00615, 2019
12019
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, S Kim, L Moy, ...
arXiv preprint arXiv:2002.07613, 2020
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
2019
Large-scale classification of breast MRI exams using deep convolutional networks
S Gong, M Muckley, N Wu, T Makino, SG Kim, L Heacock, L Moy, F Knoll, ...
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