Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

B Fish

Showing results (141-150 of 166) with videos related to

Pageof 17
Sort By:
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 StudyJulian 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 SPECTLien-Hsin Hu, Robert J H Miller, Tali Sharir, et al.
JACC. Cardiovascular Imaging|August 8, 2025
General Purpose Deep Learning Attenuation Correction Improves Diagnostic Accuracy of SPECT MPI: A Multicenter StudyAakash D Shanbhag, Robert J H Miller, Mark Lemley, et al.
European Heart Journal. Cardiovascular Imaging|March 6, 2024
Impact of cardiac size on diagnostic performance of single-photon emission computed tomography myocardial perfusion imaging: insights from the REgistry of Fast Myocardial Perfusion Imaging with NExt generation single-photon emission computed tomographyMichael J Randazzo, Pierre Elias, Timothy J Poterucha, 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 RegistryDonghee Han, Alan Rozanski, Heidi Gransar, et al.
The Canadian Journal of Cardiology|May 14, 2025
Reassessing Cardiovascular Risk in Patients With Peripheral Artery Disease Undergoing Myocardial Perfusion ImagingKaiming 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 registryLien-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 registryRobert J H Miller, Lien-Hsin Hu, Heidi Gransar, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|June 21, 2018
Rationale and design of the REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT (REFINE SPECT)Piotr J Slomka, Julian Betancur, Joanna X Liang, et al.
JACC. Cardiovascular Imaging|June 17, 2019
5-Year Prognostic Value of Quantitative Versus Visual MPI in Subtle Perfusion Defects: Results From REFINE SPECTYuka Otaki, Julian Betancur, Tali Sharir, et al.
Pageof 17

Showing results (141-150 of 166) with videos related to

Sort By:
Pageof 17
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 StudyJulian 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 SPECTLien-Hsin Hu, Robert J H Miller, Tali Sharir, et al.
JACC. Cardiovascular Imaging|August 8, 2025
General Purpose Deep Learning Attenuation Correction Improves Diagnostic Accuracy of SPECT MPI: A Multicenter StudyAakash D Shanbhag, Robert J H Miller, Mark Lemley, et al.
European Heart Journal. Cardiovascular Imaging|March 6, 2024
Impact of cardiac size on diagnostic performance of single-photon emission computed tomography myocardial perfusion imaging: insights from the REgistry of Fast Myocardial Perfusion Imaging with NExt generation single-photon emission computed tomographyMichael J Randazzo, Pierre Elias, Timothy J Poterucha, 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 RegistryDonghee Han, Alan Rozanski, Heidi Gransar, et al.
The Canadian Journal of Cardiology|May 14, 2025
Reassessing Cardiovascular Risk in Patients With Peripheral Artery Disease Undergoing Myocardial Perfusion ImagingKaiming 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 registryLien-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 registryRobert J H Miller, Lien-Hsin Hu, Heidi Gransar, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|June 21, 2018
Rationale and design of the REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT (REFINE SPECT)Piotr J Slomka, Julian Betancur, Joanna X Liang, et al.
JACC. Cardiovascular Imaging|June 17, 2019
5-Year Prognostic Value of Quantitative Versus Visual MPI in Subtle Perfusion Defects: Results From REFINE SPECTYuka Otaki, Julian Betancur, Tali Sharir, et al.
Pageof 17