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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.
The American Journal of Cardiology
|
January 13, 2024
Disparities in Noninvasive Traditional and Advanced Testing for Coronary Artery Disease: Findings from the INCAPS-COVID 2 Study
Todd C Villines, Patricia Rodriguez-Lozano, Indika Mallawaarachchi, et al.
The Canadian Journal of Cardiology
|
May 14, 2025
Reassessing Cardiovascular Risk in Patients With Peripheral Artery Disease Undergoing Myocardial Perfusion Imaging
Kaiming Wang, Tali Sharir, M Timothy Hauser, 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.
European Heart Journal. Cardiovascular Imaging
|
July 15, 2019
Transient ischaemic dilation and post-stress wall motion abnormality increase risk in patients with less than moderate ischaemia: analysis of the REFINE SPECT registry
Robert J H Miller, Lien-Hsin Hu, Heidi Gransar, et al.
Journal of the Society for Cardiovascular Angiography & Interventions
|
August 12, 2024
Association of Modified Body Mass Index With In-Hospital Outcomes After Intermediate or High-Risk Pulmonary Embolism
Danial Saleem, Mahesh V Madhavan, Caroline Der Nigoghossian, et al.
Cardiovascular Research
|
July 14, 2021
Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry
Richard Rios, Robert J H Miller, Lien Hsin Hu, et al.
The Lancet. Digital Health
|
May 17, 2025
AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction: a multicentre study
Jirong Yi, Anna M Marcinkiewicz, Aakash Shanbhag, et al.
NPJ Digital Medicine
|
May 1, 2023
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging
Konrad Pieszko, Aakash D Shanbhag, Ananya Singh, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
November 8, 2017
Myocardial perfusion imaging: Lessons learned and work to be done-update
Ami E Iskandrian, Vasken Dilsizian, Ernest V Garcia, et al.
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of 25
Search research articles
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Showing results (171-180 of 244) with videos related to
Sort By:
Page
of 25
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.
The American Journal of Cardiology
|
January 13, 2024
Disparities in Noninvasive Traditional and Advanced Testing for Coronary Artery Disease: Findings from the INCAPS-COVID 2 Study
Todd C Villines, Patricia Rodriguez-Lozano, Indika Mallawaarachchi, et al.
The Canadian Journal of Cardiology
|
May 14, 2025
Reassessing Cardiovascular Risk in Patients With Peripheral Artery Disease Undergoing Myocardial Perfusion Imaging
Kaiming Wang, Tali Sharir, M Timothy Hauser, 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.
European Heart Journal. Cardiovascular Imaging
|
July 15, 2019
Transient ischaemic dilation and post-stress wall motion abnormality increase risk in patients with less than moderate ischaemia: analysis of the REFINE SPECT registry
Robert J H Miller, Lien-Hsin Hu, Heidi Gransar, et al.
Journal of the Society for Cardiovascular Angiography & Interventions
|
August 12, 2024
Association of Modified Body Mass Index With In-Hospital Outcomes After Intermediate or High-Risk Pulmonary Embolism
Danial Saleem, Mahesh V Madhavan, Caroline Der Nigoghossian, et al.
Cardiovascular Research
|
July 14, 2021
Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry
Richard Rios, Robert J H Miller, Lien Hsin Hu, et al.
The Lancet. Digital Health
|
May 17, 2025
AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction: a multicentre study
Jirong Yi, Anna M Marcinkiewicz, Aakash Shanbhag, et al.
NPJ Digital Medicine
|
May 1, 2023
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging
Konrad Pieszko, Aakash D Shanbhag, Ananya Singh, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology
|
November 8, 2017
Myocardial perfusion imaging: Lessons learned and work to be done-update
Ami E Iskandrian, Vasken Dilsizian, Ernest V Garcia, et al.
Page
of 25