| 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 | 292 | 2019 |
| 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 | 63 | 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), 1-11, 2021 | 56 | 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 | 20 | 2019 |
| 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, 5645, 2021 | 19 | 2021 |
| 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 | 15 | 2019 |
| The evolution of shared concepts in changing populations J Park, S Tauber, KA Jameson, L Narens Review of Philosophy and Psychology 10 (3), 479-498, 2019 | 8 | 2019 |
| 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 | 6 | 2020 |
| 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 (6), 1414-1423, 2021 | 5* | 2021 |
| Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability J Phang, J Park, KJ Geras arXiv preprint arXiv:2010.09750, 2020 | 3 | 2020 |
| Lessons from the first DBTex Challenge J Park, Y Shoshan, R Martí, P Gómez del Campo, V Ratner, D Khapun, ... Nature Machine Intelligence 3 (8), 735-736, 2021 | 2 | 2021 |
| 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 | 1 | 2019 |
Krzysztof J. GerasNew York UniversityZweryfikowany adres z nyu.edu
