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Edward P Ficaro

Showing results (21-30 of 60) with videos related to

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Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|August 27, 2021
Effect of iterations and time of flight on normal distributions of <sup>82</sup>Rb PET relative perfusion and myocardial blood flowAlexis Poitrasson-Rivière, Jonathan B Moody, Jennifer M Renaud, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|August 24, 2021
Myocardial flow reserve estimation with contemporary CZT-SPECT and <sup>99m</sup>Tc-tracers lacks precision for routine clinical applicationJennifer M Renaud, Alexis Poitrasson-Rivière, Tomoe Hagio, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|October 25, 2019
Reducing motion-correction-induced variability in <sup>82</sup>rubidium myocardial blood-flow quantificationAlexis Poitrasson-Rivière, Jonathan B Moody, Tomoe Hagio, et al.
European Journal of Nuclear Medicine and Molecular Imaging|November 19, 2022
Multi-center, multi-vendor validation of deep learning-based attenuation correction in SPECT MPI: data from the international flurpiridaz-301 trialTomoe Hagio, Jonathan B Moody, Alexis Poitrasson-Rivière, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 28, 2014
Comparison and prognostic validation of multiple methods of quantification of myocardial blood flow with 82Rb PETVenkatesh L Murthy, Benjamin C Lee, Arkadiusz Sitek, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|June 26, 2019
Characterization of a highly effective preparation for suppression of myocardial glucose utilizationSophia R Larson, Justin A Pieper, Edward A Hulten, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|June 17, 2025
Diagnostic performance of <sup>18</sup>F-flurpiridaz PET myocardial perfusion imaging with total perfusion deficit quantificationJennifer M Renaud, Jonathan B Moody, Michael D Vanderver, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|July 27, 2025
Improved diagnostic performance of <sup>18</sup>F-flurpiridaz positron emission tomography myocardial blood flow quantification with automated dynamic motion correctionJennifer M Renaud, Jonathan B Moody, Michael D Vanderver, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|February 1, 2020
Added value of myocardial blood flow using <sup>18</sup>F-flurpiridaz PET to diagnose coronary artery disease: The flurpiridaz 301 trialJonathan B Moody, Alexis Poitrasson-Rivière, Tomoe Hagio, et al.
Medrxiv : the Preprint Server for Health Sciences|February 14, 2024
Automated Deep Learning Segmentation of Cardiac Inflammatory FDG PETAlexis Poitrasson-Rivière, Michael D Vanderver, Tomoe Hagio, et al.
Pageof 6

Showing results (21-30 of 60) with videos related to

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Pageof 6
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|August 27, 2021
Effect of iterations and time of flight on normal distributions of <sup>82</sup>Rb PET relative perfusion and myocardial blood flowAlexis Poitrasson-Rivière, Jonathan B Moody, Jennifer M Renaud, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|August 24, 2021
Myocardial flow reserve estimation with contemporary CZT-SPECT and <sup>99m</sup>Tc-tracers lacks precision for routine clinical applicationJennifer M Renaud, Alexis Poitrasson-Rivière, Tomoe Hagio, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|October 25, 2019
Reducing motion-correction-induced variability in <sup>82</sup>rubidium myocardial blood-flow quantificationAlexis Poitrasson-Rivière, Jonathan B Moody, Tomoe Hagio, et al.
European Journal of Nuclear Medicine and Molecular Imaging|November 19, 2022
Multi-center, multi-vendor validation of deep learning-based attenuation correction in SPECT MPI: data from the international flurpiridaz-301 trialTomoe Hagio, Jonathan B Moody, Alexis Poitrasson-Rivière, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 28, 2014
Comparison and prognostic validation of multiple methods of quantification of myocardial blood flow with 82Rb PETVenkatesh L Murthy, Benjamin C Lee, Arkadiusz Sitek, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|June 26, 2019
Characterization of a highly effective preparation for suppression of myocardial glucose utilizationSophia R Larson, Justin A Pieper, Edward A Hulten, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|June 17, 2025
Diagnostic performance of <sup>18</sup>F-flurpiridaz PET myocardial perfusion imaging with total perfusion deficit quantificationJennifer M Renaud, Jonathan B Moody, Michael D Vanderver, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|July 27, 2025
Improved diagnostic performance of <sup>18</sup>F-flurpiridaz positron emission tomography myocardial blood flow quantification with automated dynamic motion correctionJennifer M Renaud, Jonathan B Moody, Michael D Vanderver, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|February 1, 2020
Added value of myocardial blood flow using <sup>18</sup>F-flurpiridaz PET to diagnose coronary artery disease: The flurpiridaz 301 trialJonathan B Moody, Alexis Poitrasson-Rivière, Tomoe Hagio, et al.
Medrxiv : the Preprint Server for Health Sciences|February 14, 2024
Automated Deep Learning Segmentation of Cardiac Inflammatory FDG PETAlexis Poitrasson-Rivière, Michael D Vanderver, Tomoe Hagio, et al.
Pageof 6