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Linda Moy
Linda Moy
New York University School of Medicine
Verified email at nyulangone.org - Homepage
Title
Cited by
Cited by
Year
The sequence of the human genome
JC Venter, MD Adams, EW Myers, PW Li, RJ Mural, GG Sutton, HO Smith, ...
science 291 (5507), 1304-1351, 2001
202852001
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
16332010
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
6952020
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
6342018
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
5942019
Breast MRI: state of the art
RM Mann, N Cho, L Moy
Radiology 292 (3), 520-536, 2019
5812019
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
5422023
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
5112005
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
4842002
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
4372009
Contrast‐enhanced MRI for breast cancer screening
RM Mann, CK Kuhl, L Moy
Journal of Magnetic Resonance Imaging 50 (2), 377-390, 2019
2912019
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
2792017
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
2782017
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
2752020
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
2722011
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
2692019
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
2542010
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
2362018
Specificity of mammography and US in the evaluation of a palpable abnormality: retrospective review
L Moy, PJ Slanetz, R Moore, S Satija, ED Yeh, KA McCarthy, D Hall, ...
Radiology 225 (1), 176-181, 2002
2202002
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
2072020
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