| 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 | 656 | 2019 |
| 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 | 295 | 2017 |
| 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 | 173 | 2021 |
| 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, 2021 | 170 | 2021 |
| 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 | 137 | 2021 |
| 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 | 101 | 2018 |
| SLAM: A unified encoder for speech and language modeling via speech-text joint pre-training A Bapna, Y Chung, N Wu, A Gulati, Y Jia, JH Clark, M Johnson, J Riesa, ... arXiv preprint arXiv:2110.10329, 2021 | 86 | 2021 |
| Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks N Wu, S Jastrzębski, K Cho, KJ Geras ICML 2022, 2022 | 85 | 2022 |
| 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 | 35 | 2019 |
| 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 | 33 | 2019 |
| 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 | 30 | 2021 |
| Improving the ability of deep neural networks to use information from multiple views in breast cancer screening N Wu, S Jastrzębski, J Park, L Moy, K Cho, KJ Geras Medical Imaging with Deep Learning, 827-842, 2020 | 18 | 2020 |
| 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 | 15 | 2019 |
| 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 | 14* | 2021 |
| 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 | 9 | 2019 |
| 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 | 7 | 2019 |
| An artificial intelligence system for predicting the deterioration of covid-19 patients in the emergency department. npj Digital Medicine, 4 (1): 80, May 2021 FE Shamout, Y Shen, N Wu, A Kaku, J Park, T Makino, S law Jastrzebski, ... ISSN, 0 | 3 | |
| An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency FE Shamout, Y Shen, N Wu, A Kaku, J Park, T Makino, S Jastrzebski, ... arXiv preprint arXiv:2008.01774, 2020 | | 2020 |
| 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, ... | | |
Krzysztof J. GerasNew York UniversityVerified email at nyu.edu
