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Daniel S Berman

Showing results (761-770 of 971) 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.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|February 5, 2008
Clinical imaging for prevention: directed strategies for improved detection of presymptomatic patients with undetected atherosclerosis--Part I: Clinical imaging for preventionLeslee J Shaw, Daniel S Berman, Roger S Blumenthal, 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.
Medrxiv : the Preprint Server for Health Sciences|August 12, 2024
AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans enhances mortality prediction: multicenter studyJirong Yi, Anna M Michalowska, Aakash Shanbhag, et al.
JAMA Network Open|January 16, 2019
Variability in Ejection Fraction Measured By Echocardiography, Gated Single-Photon Emission Computed Tomography, and Cardiac Magnetic Resonance in Patients With Coronary Artery Disease and Left Ventricular DysfunctionPatricia A Pellikka, Lilin She, Thomas A Holly, et al.
European Heart Journal|July 31, 2018
Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imagingSubhi J Al'Aref, Khalil Anchouche, Gurpreet Singh, et al.
Journal of Cardiovascular Computed Tomography|November 14, 2022
Mortality impact of low CAC density predominantly occurs in early atherosclerosis: explainable ML in the CAC consortiumFay Y Lin, Benjamin P Goebel, Benjamin C Lee, 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-updateAmi E Iskandrian, Vasken Dilsizian, Ernest V Garcia, et al.
The New England Journal of Medicine|August 22, 2019
Myocardial Viability and Long-Term Outcomes in Ischemic CardiomyopathyJulio A Panza, Alicia M Ellis, Hussein R Al-Khalidi, 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.
Pageof 98

Showing results (761-770 of 971) with videos related to

Sort By:
Pageof 98
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.
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|February 5, 2008
Clinical imaging for prevention: directed strategies for improved detection of presymptomatic patients with undetected atherosclerosis--Part I: Clinical imaging for preventionLeslee J Shaw, Daniel S Berman, Roger S Blumenthal, 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.
Medrxiv : the Preprint Server for Health Sciences|August 12, 2024
AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans enhances mortality prediction: multicenter studyJirong Yi, Anna M Michalowska, Aakash Shanbhag, et al.
JAMA Network Open|January 16, 2019
Variability in Ejection Fraction Measured By Echocardiography, Gated Single-Photon Emission Computed Tomography, and Cardiac Magnetic Resonance in Patients With Coronary Artery Disease and Left Ventricular DysfunctionPatricia A Pellikka, Lilin She, Thomas A Holly, et al.
European Heart Journal|July 31, 2018
Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imagingSubhi J Al'Aref, Khalil Anchouche, Gurpreet Singh, et al.
Journal of Cardiovascular Computed Tomography|November 14, 2022
Mortality impact of low CAC density predominantly occurs in early atherosclerosis: explainable ML in the CAC consortiumFay Y Lin, Benjamin P Goebel, Benjamin C Lee, 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-updateAmi E Iskandrian, Vasken Dilsizian, Ernest V Garcia, et al.
The New England Journal of Medicine|August 22, 2019
Myocardial Viability and Long-Term Outcomes in Ischemic CardiomyopathyJulio A Panza, Alicia M Ellis, Hussein R Al-Khalidi, 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.
Pageof 98