Linda Moy

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62 articles

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Laura Heacock, MD, MS, FSBIDepartment of Radiology, New York University School of MedicineAdresse e-mail validée de nyulangone.org
Eric E. SigmundNYU Langone HealthAdresse e-mail validée de nyulangone.org
Priscilla SlanetzProfessor of Radiology, Boston University Medical CenterAdresse e-mail validée de bu.edu
Daniel SodicksonChief of Innovation, Department of Radiology, New York University Grossman School of MedicineAdresse e-mail validée de med.nyu.edu
Krzysztof J. GerasNew York UniversityAdresse e-mail validée de nyu.edu
Ana P Lourenco MDAssociate Professor Diagnostic Imaging Alpert Medical School of Brown UniversityAdresse e-mail validée de lifespan.org
Yiqiu ShenNew York UniversityAdresse e-mail validée de nyu.edu
Kyunghyun ChoNew York University, GenentechAdresse e-mail validée de nyu.edu
Gerardo Hermosillo ValadezSiemens Medical Solutions, IncAdresse e-mail validée de siemens.com
Steven BaeteAssistant Professor of Radiology, Center for Biomedical Imaging, New York University School OfAdresse e-mail validée de nyumc.org
Katja PinkerMemorial Sloan Kettering Cancer CenterAdresse e-mail validée de mskcc.org
Ryan BrownNew York University Medical CenterAdresse e-mail validée de nyumc.org
Vikas C. RaykarMicrosoftAdresse e-mail validée de microsoft.com
Shipeng YuLinkedInAdresse e-mail validée de linkedin.com
Pippa StoreyNew York University School of MedicineAdresse e-mail validée de nyulangone.org
Henry RusinekNYU School of MedicineAdresse e-mail validée de nyu.edu
Jens H. JensenProfessor, Medical University of South CarolinaAdresse e-mail validée de musc.edu
Kai Tobias BlockNYU Grossman School of MedicineAdresse e-mail validée de nyumc.org
Ricardo OtazoVice-Chair for Research, Department of Medical Physics, Memorial Sloan Kettering Cancer CenterAdresse e-mail validée de mskcc.org

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Linda Moy

New York University School of Medicine

Adresse e-mail validée de nyulangone.org - Page d'accueil

breast imaging breast cancer radiology artificial intelligence MRI


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	20213	2001
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	1621	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	656	2020
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	620	2018
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	573	2019
Breast MRI: state of the art RM Mann, N Cho, L Moy Radiology 292 (3), 520-536, 2019	557	2019
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	507	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	484	2002
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	481	2023
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	435	2009
Contrast‐enhanced MRI for breast cancer screening RM Mann, CK Kuhl, L Moy Journal of Magnetic Resonance Imaging 50 (2), 377-390, 2019	279	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	274	2017
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	272	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	269	2011
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	268	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	261	2019
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	254	2010
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	233	2018
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	219	2002
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	196	2020

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