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Showing results (721-730 of 884) with videos related to

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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.
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.
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 studyJirong Yi, Anna M Marcinkiewicz, Aakash Shanbhag, et al.
Journal of Viral Hepatitis|October 29, 2017
Interpretation of liver stiffness measurement-based approach for the monitoring of hepatitis B patients with antiviral therapy: A 2-year prospective studyX Liang, Q Xie, D Tan, 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 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.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|July 6, 2021
Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECTEvann Eisenberg, Robert J H Miller, Lien-Hsin Hu, 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 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 89

Showing results (721-730 of 884) with videos related to

Sort By:
Pageof 89
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.
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.
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 studyJirong Yi, Anna M Marcinkiewicz, Aakash Shanbhag, et al.
Journal of Viral Hepatitis|October 29, 2017
Interpretation of liver stiffness measurement-based approach for the monitoring of hepatitis B patients with antiviral therapy: A 2-year prospective studyX Liang, Q Xie, D Tan, 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 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.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|July 6, 2021
Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECTEvann Eisenberg, Robert J H Miller, Lien-Hsin Hu, 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 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 89