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Showing results (151-160 of 166) with videos related to

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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. Advances|January 6, 2025
The Relationship Between Quantitative Ischemia, Early Revascularization, and Major Adverse Cardiovascular Events: A Multicenter StudyRobert Jh Miller, Bryan Bednarski, Yujie Cui, 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.
JACC. Cardiovascular Imaging|August 24, 2020
Impact of Early Revascularization on Major Adverse Cardiovascular Events in Relation to Automatically Quantified IschemiaPeyman N Azadani, Robert J H Miller, Tali Sharir, et al.
European Journal of Nuclear Medicine and Molecular Imaging|October 4, 2022
Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT imagesRobert J H Miller, Ananya Singh, Yuka Otaki, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|May 16, 2019
Upper reference limits of transient ischemic dilation ratio for different protocols on new-generation cadmium zinc telluride cameras: A report from REFINE SPECT registryLien-Hsin Hu, Tali Sharir, Robert J H Miller, et al.
European Journal of Nuclear Medicine and Molecular Imaging|April 17, 2023
Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imagingMichelle C Williams, Bryan P Bednarski, Konrad Pieszko, et al.
Pageof 17

Showing results (151-160 of 166) with videos related to

Sort By:
Pageof 17
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. Advances|January 6, 2025
The Relationship Between Quantitative Ischemia, Early Revascularization, and Major Adverse Cardiovascular Events: A Multicenter StudyRobert Jh Miller, Bryan Bednarski, Yujie Cui, 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.
JACC. Cardiovascular Imaging|August 24, 2020
Impact of Early Revascularization on Major Adverse Cardiovascular Events in Relation to Automatically Quantified IschemiaPeyman N Azadani, Robert J H Miller, Tali Sharir, et al.
European Journal of Nuclear Medicine and Molecular Imaging|October 4, 2022
Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT imagesRobert J H Miller, Ananya Singh, Yuka Otaki, et al.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|May 16, 2019
Upper reference limits of transient ischemic dilation ratio for different protocols on new-generation cadmium zinc telluride cameras: A report from REFINE SPECT registryLien-Hsin Hu, Tali Sharir, Robert J H Miller, et al.
European Journal of Nuclear Medicine and Molecular Imaging|April 17, 2023
Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imagingMichelle C Williams, Bryan P Bednarski, Konrad Pieszko, et al.
Pageof 17