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| Learning from crowds. VC Raykar, S Yu, LH Zhao, GH Valadez, C Florin, L Bogoni, L Moy Journal of machine learning research 11 (4), 2010 | 1715 | 2010 |
| Checklist for artificial intelligence in medical imaging (CLAIM): a guide for authors and reviewers J Mongan, L Moy, CE Kahn Jr Radiology: Artificial Intelligence 2 (2), e200029, 2020 | 928 | 2020 |
| 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 | 839 | 2023 |
| Breast MRI: state of the art RM Mann, N Cho, L Moy Radiology 292 (3), 520-536, 2019 | 744 | 2019 |
| 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 | 710 | 2019 |
| Breast cancer screening in women at higher-than-average risk: recommendations from the ACR DL Monticciolo, MS Newell, L Moy, B Niell, B Monsees, EA Sickles Journal of the American College of Radiology 15 (3), 408-414, 2018 | 669 | 2018 |
| Prospective comparison of mammography, sonography, and MRI in patients undergoing neoadjuvant chemotherapy for palpable breast cancer E Yeh, P Slanetz, DB Kopans, E Rafferty, D Georgian-Smith, L Moy, ... American Journal of Roentgenology 184 (3), 868-877, 2005 | 515 | 2005 |
| A comparison of whole-genome shotgun-derived mouse chromosome 16 and the human genome RJ Mural, MD Adams, EW Myers, HO Smith, GLG Miklos, R Wides, ... Science 296 (5573), 1661-1671, 2002 | 493 | 2002 |
| Supervised learning from multiple experts: whom to trust when everyone lies a bit VC Raykar, S Yu, LH Zhao, A Jerebko, C Florin, GH Valadez, L Bogoni, ... Proceedings of the 26th Annual international conference on machine learning …, 2009 | 445 | 2009 |
| Contrast‐enhanced MRI for breast cancer screening RM Mann, CK Kuhl, L Moy Journal of Magnetic Resonance Imaging 50 (2), 377-390, 2019 | 356 | 2019 |
| The sequence of the human genome J Craig Venter, MD Adams, EW Myers, PW Li, RJ Mural, GG Sutton, ... Science 291 (5507), 1304-1351, 2001 | 341 | 2001 |
| Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers—From the Radiology Editorial … DA Bluemke, L Moy, MA Bredella, BB Ertl-Wagner, KJ Fowler, VJ Goh, ... Radiology 294 (3), 487-489, 2020 | 321 | 2020 |
| Artificial intelligence for mammography and digital breast tomosynthesis: current concepts and future perspectives KJ Geras, RM Mann, L Moy Radiology 293 (2), 246-259, 2019 | 315 | 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 | 311 | 2017 |
| Axillary nodal evaluation in breast cancer: state of the art JM Chang, JWT Leung, L Moy, SM Ha, WK Moon Radiology 295 (3), 500-515, 2020 | 301 | 2020 |
| Breast cancer screening for average-risk women: recommendations from the ACR commission on breast imaging DL Monticciolo, MS Newell, RE Hendrick, MA Helvie, L Moy, B Monsees, ... Journal of the American College of Radiology 14 (9), 1137-1143, 2017 | 297 | 2017 |
| Intravoxel incoherent motion imaging of tumor microenvironment in locally advanced breast cancer EE Sigmund, GY Cho, S Kim, M Finn, M Moccaldi, JH Jensen, ... Magnetic resonance in medicine 65 (5), 1437-1447, 2011 | 281 | 2011 |
| Precision medicine and radiogenomics in breast cancer: new approaches toward diagnosis and treatment K Pinker, J Chin, AN Melsaether, EA Morris, L Moy Radiology 287 (3), 732-747, 2018 | 267 | 2018 |
| Modeling annotator expertise: Learning when everybody knows a bit of something Y Yan, R Rosales, G Fung, M Schmidt, G Hermosillo, L Bogoni, L Moy, ... Proceedings of the thirteenth international conference on artificial …, 2010 | 259 | 2010 |
Laura Heacock, MD, MS, FSBIDepartment of Radiology, New York University School of MedicineEmail được xác minh tại nyulangone.org