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Daniel S Berman

Showing results (641-650 of 970) with videos related to

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JACC. Cardiovascular Imaging|June 22, 2020
A Clinical Tool to Identify Candidates for Stress-First Myocardial Perfusion ImagingSoroush Rouhani, Ali Al Shahrani, Alomgir Hossain, et al.
European Heart Journal. Cardiovascular Imaging|January 17, 2025
Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessmentJianhang Zhou, Aakash D Shanbhag, Donghee Han, et al.
Circulation. Cardiovascular Imaging|March 3, 2025
Race- and Sex-Specific Age at Which Coronary Artery Calcium Becomes Detectable Among Young AdultsYvette A Yeboah-Kordieh, Ellen Boakye, Albert D Osei, et al.
The American Journal of Cardiology|April 27, 2012
Cardiologist concordance with the American College of Cardiology appropriate use criteria for cardiac testing in patients with coronary artery diseaseFay Y Lin, Lisa R Rosenbaum, Dan Gebow, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|April 24, 2021
Machine Learning with <sup>18</sup>F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial InfarctionJacek Kwiecinski, Evangelos Tzolos, Mohammed N Meah, et al.
Heart (British Cardiac Society)|December 25, 2015
Coronary calcium scoring for long-term mortality prediction in patients with and without a family history of coronary diseaseJoseph T Knapper, Faisal Khosa, Michael J Blaha, et al.
NPJ Digital Medicine|February 3, 2024
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imagingRobert J H Miller, Aakash Shanbhag, Aditya Killekar, et al.
JACC. Cardiovascular Imaging|October 26, 2022
Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular EventsKonrad Pieszko, Aakash Shanbhag, Aditya Killekar, et al.
Journal of Cardiovascular Computed Tomography|January 2, 2019
Age- and gender-adjusted percentiles for number of calcified plaques in coronary artery calcium scanningFrances Wang, Alan Rozanski, Damini Dey, et al.
Circulation|May 19, 2010
ACCF/ACR/AHA/NASCI/SAIP/SCAI/SCCT 2010 expert consensus document on coronary computed tomographic angiography: a report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents, Daniel B Mark, Daniel S Berman, et al.
Pageof 97

Showing results (641-650 of 970) with videos related to

Sort By:
Pageof 97
JACC. Cardiovascular Imaging|June 22, 2020
A Clinical Tool to Identify Candidates for Stress-First Myocardial Perfusion ImagingSoroush Rouhani, Ali Al Shahrani, Alomgir Hossain, et al.
European Heart Journal. Cardiovascular Imaging|January 17, 2025
Automated proximal coronary artery calcium identification using artificial intelligence: advancing cardiovascular risk assessmentJianhang Zhou, Aakash D Shanbhag, Donghee Han, et al.
Circulation. Cardiovascular Imaging|March 3, 2025
Race- and Sex-Specific Age at Which Coronary Artery Calcium Becomes Detectable Among Young AdultsYvette A Yeboah-Kordieh, Ellen Boakye, Albert D Osei, et al.
The American Journal of Cardiology|April 27, 2012
Cardiologist concordance with the American College of Cardiology appropriate use criteria for cardiac testing in patients with coronary artery diseaseFay Y Lin, Lisa R Rosenbaum, Dan Gebow, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|April 24, 2021
Machine Learning with <sup>18</sup>F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial InfarctionJacek Kwiecinski, Evangelos Tzolos, Mohammed N Meah, et al.
Heart (British Cardiac Society)|December 25, 2015
Coronary calcium scoring for long-term mortality prediction in patients with and without a family history of coronary diseaseJoseph T Knapper, Faisal Khosa, Michael J Blaha, et al.
NPJ Digital Medicine|February 3, 2024
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imagingRobert J H Miller, Aakash Shanbhag, Aditya Killekar, et al.
JACC. Cardiovascular Imaging|October 26, 2022
Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular EventsKonrad Pieszko, Aakash Shanbhag, Aditya Killekar, et al.
Journal of Cardiovascular Computed Tomography|January 2, 2019
Age- and gender-adjusted percentiles for number of calcified plaques in coronary artery calcium scanningFrances Wang, Alan Rozanski, Damini Dey, et al.
Circulation|May 19, 2010
ACCF/ACR/AHA/NASCI/SAIP/SCAI/SCCT 2010 expert consensus document on coronary computed tomographic angiography: a report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents, Daniel B Mark, Daniel S Berman, et al.
Pageof 97