Showing results (101-110 of 120) with videos related to

Sort By:
Pageof 12
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.
Computers in Biology and Medicine|April 5, 2022
Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registryRichard Rios, Robert J H Miller, Nipun Manral, et al.
JACC. Cardiovascular Imaging|July 18, 2021
Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery DiseaseYuka Otaki, Ananya Singh, Paul Kavanagh, et al.
Cardiovascular Research|July 14, 2021
Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registryRichard Rios, Robert J H Miller, Lien Hsin Hu, et al.
NPJ Digital Medicine|May 1, 2023
Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imagingKonrad Pieszko, Aakash D Shanbhag, Ananya Singh, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|May 5, 2022
Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion ImagingRobert J H Miller, Keiichiro Kuronuma, Ananya Singh, et al.
Pageof 12