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Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
March 13, 2021
Quantitation of Poststress Change in Ventricular Morphology Improves Risk Stratification
Robert J H Miller, Tali Sharir, Yuka Otaki, et al.
Journal of Nuclear Medicine Technology
|
March 4, 2021
Guidance and Best Practices for Reestablishment of Non-Emergent Care in Nuclear Cardiology Laboratories During the Coronavirus Disease 2019 (COVID-19) Pandemic: An Information Statement from ASNC, IAEA, and SNMMI
Hicham Skali, Venkatesh L Murthy, Diana Paez, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
July 26, 2020
Guidance and Best Practices for Reestablishment of Non-Emergent Care in Nuclear Cardiology Laboratories During the Coronavirus Disease 2019 (COVID-19) Pandemic: An Information Statement from ASNC, IAEA, and SNMMI
Hicham Skali, Venkatesh L Murthy, Diana Paez, et al.
JACC. Cardiovascular Imaging
|
August 8, 2025
General Purpose Deep Learning Attenuation Correction Improves Diagnostic Accuracy of SPECT MPI: A Multicenter Study
Aakash D Shanbhag, Robert J H Miller, Mark Lemley, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
September 29, 2018
Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study
Julian Betancur, Lien-Hsin Hu, Frederic Commandeur, et al.
European Heart Journal. Cardiovascular Imaging
|
June 14, 2020
Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT
Lien-Hsin Hu, Robert J H Miller, Tali Sharir, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
October 27, 2025
Risk stratification with pre-operative myocardial perfusion imaging
Dayoung Kim, Valerie Builoff, Tali Sharir, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
July 26, 2020
Guidance and best practices for reestablishment of non-emergent care in nuclear cardiology laboratories during the coronavirus disease 2019 (COVID-19) pandemic: An information statement from ASNC, IAEA, and SNMMI : Endorsed by the Infectious Diseases Society of America
Hicham Skali, Venkatesh L Murthy, Diana Paez, et al.
European Heart Journal. Cardiovascular Imaging
|
July 19, 2019
Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry
Lien-Hsin Hu, Julian Betancur, Tali Sharir, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
November 10, 2021
Comparison of diabetes to other prognostic predictors among patients referred for cardiac stress testing: A contemporary analysis from the REFINE SPECT Registry
Donghee Han, Alan Rozanski, Heidi Gransar, et al.
Page
of 17
Search research articles
Search
Showing results (131-140 of 167) with videos related to
Sort By:
Page
of 17
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
March 13, 2021
Quantitation of Poststress Change in Ventricular Morphology Improves Risk Stratification
Robert J H Miller, Tali Sharir, Yuka Otaki, et al.
Journal of Nuclear Medicine Technology
|
March 4, 2021
Guidance and Best Practices for Reestablishment of Non-Emergent Care in Nuclear Cardiology Laboratories During the Coronavirus Disease 2019 (COVID-19) Pandemic: An Information Statement from ASNC, IAEA, and SNMMI
Hicham Skali, Venkatesh L Murthy, Diana Paez, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
July 26, 2020
Guidance and Best Practices for Reestablishment of Non-Emergent Care in Nuclear Cardiology Laboratories During the Coronavirus Disease 2019 (COVID-19) Pandemic: An Information Statement from ASNC, IAEA, and SNMMI
Hicham Skali, Venkatesh L Murthy, Diana Paez, et al.
JACC. Cardiovascular Imaging
|
August 8, 2025
General Purpose Deep Learning Attenuation Correction Improves Diagnostic Accuracy of SPECT MPI: A Multicenter Study
Aakash D Shanbhag, Robert J H Miller, Mark Lemley, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
September 29, 2018
Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study
Julian Betancur, Lien-Hsin Hu, Frederic Commandeur, et al.
European Heart Journal. Cardiovascular Imaging
|
June 14, 2020
Prognostically safe stress-only single-photon emission computed tomography myocardial perfusion imaging guided by machine learning: report from REFINE SPECT
Lien-Hsin Hu, Robert J H Miller, Tali Sharir, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
October 27, 2025
Risk stratification with pre-operative myocardial perfusion imaging
Dayoung Kim, Valerie Builoff, Tali Sharir, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
July 26, 2020
Guidance and best practices for reestablishment of non-emergent care in nuclear cardiology laboratories during the coronavirus disease 2019 (COVID-19) pandemic: An information statement from ASNC, IAEA, and SNMMI : Endorsed by the Infectious Diseases Society of America
Hicham Skali, Venkatesh L Murthy, Diana Paez, et al.
European Heart Journal. Cardiovascular Imaging
|
July 19, 2019
Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry
Lien-Hsin Hu, Julian Betancur, Tali Sharir, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
November 10, 2021
Comparison of diabetes to other prognostic predictors among patients referred for cardiac stress testing: A contemporary analysis from the REFINE SPECT Registry
Donghee Han, Alan Rozanski, Heidi Gransar, et al.
Page
of 17