Fayad, Zahi A.
Icahn School of Medicine at Mount Sinai
33 papers on CoChatORCID 0000-0002-3439-7347
Most cited papers
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Nanoreporter PET predicts the efficacy of anti-cancer nanotherapy
Pérez-Medina, C., Abdel-Atti, D., Tang, J., Zhao, Y., Fayad, Z. A., Lewis, J. S., Mulder, W. J. M., & Reiner, T. (2016) · Nature Communications
Nanoparticle-Based Drug DeliveryRadiopharmaceutical Chemistry and Applications
Cited by 128
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Quantum Dot and Cy5.5 Labeled Nanoparticles to Investigate Lipoprotein Biointeractions via Förster Resonance Energy Transfer
Skajaa, T., Zhao, Y., van den Heuvel, D. J., Gerritsen, H. C., Cormode, D. P., Koole, R., van Schooneveld, M. M., Post, J. A., Fisher, E. A., Fayad, Z. A., et al. (2010) · Nano Letters
Quantum Dots Synthesis And PropertiesLipid Membrane Structure and Behavior
Cited by 76
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Comparison of Synthetic High Density Lipoprotein (HDL) Contrast Agents for MR Imaging of Atherosclerosis
Cormode, D. P., Chandrasekar, R., Delshad, A., Briley-Saebo, K. C., Calcagno, C., Barazza, A., Mulder, W. J. M., Fisher, E. A., & Fayad, Z. A. (2009) · Bioconjugate Chemistry
Cholesterol and Lipid MetabolismAtherosclerosis and Cardiovascular Diseases
Cited by 72
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The biological properties of iron oxide core high-density lipoprotein in experimental atherosclerosis
Skajaa, T., Cormode, D. P., Jarzyna, P. A., Delshad, A., Blachford, C., Barazza, A., Fisher, E. A., Gordon, R. E., Fayad, Z. A., & Mulder, W. J. M. (2011) · Biomaterials
Nanoparticle-Based Drug DeliveryCharacterization and Applications of Magnetic Nanoparticles
Cited by 69
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Report of the National Heart, Lung, and Blood Institute Working Group on the Translation of Cardiovascular Molecular Imaging
Buxton, D. B., Antman, M., Danthi, N., Dilsizian, V., Fayad, Z. A., Garcia, M. J., Jaff, M. R., Klimas, M., Libby, P., Nahrendorf, M., et al. (2011) · Circulation
Cardiac Imaging and DiagnosticsMedical Imaging Techniques and Applications
Cited by 49
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Computed tomography aortic valve calcium scoring for the assessment of aortic stenosis progression
Doris, M. K., Jenkins, W., Robson, P., Pawade, T., Andrews, J. P., Bing, R., Cartlidge, T., Shah, A., Pickering, A., Williams, M. C., et al. (2020) · Heart
Cardiac Valve Diseases and TreatmentsCardiac Imaging and Diagnostics
Cited by 48
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Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction
Naghavi, M., Reeves, A. P., Atlas, K., Zhang, C., Atlas, T., Henschke, C. I., Yankelevitz, D. F., Budoff, M. J., Li, D., Roy, S. K., et al. (2024) · npj Digital Medicine
Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education
Cited by 45
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Magnetic resonance venography to assess thrombus resolution with edoxaban monotherapy versus parenteral anticoagulation/warfarin for symptomatic deep vein thrombosis: a multicenter feasibility study
Piazza, G., Mani, V., Goldhaber, S. Z., Grosso, M. A., Mercuri, M., Lanz, H. J., Schussler, S., Hsu, C., Chinigo, A., Ritchie, B., et al. (2016) · Vascular Medicine
Venous Thromboembolism Diagnosis and ManagementBlood Coagulation and Thrombosis Mechanisms
Cited by 18
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Agatston-2.0: A next-generation AI-based coronary calcium quantification approach to improve risk stratification among individuals with zero Agatston scores – Part I
Naghavi, M., Azimi, A., Atlas, K., Reeves, A. P., Zhang, C., Mirjalili, S. R., Mozafarybazargany, M., Jolfayi, A. G., Hashemi, A., Atlas, T., et al. (2026) · American Journal of Preventive Cardiology
Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education
Cited by 2
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