| 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 | 116 | 2017 |
| 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 | 112 | 2019 |
| 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 | 40 | 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 | 33 | 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, 101908, 2020 | 8 | 2020 |
| 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 | 8 | 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 | 7 | 2018 |
| 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 | 6 | 2019 |
| 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 | 4 | 2020 |
| 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 | 3 | 2020 |
| Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis K Liu, Y Shen, N Wu, C Fernandez-Granda, KJ Geras | | 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 | | 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 |
Krzysztof J. GerasNew York UniversityZweryfikowany adres z nyu.edu
