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Atherosclerosis
|
January 14, 2025
AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects
Aryabod Razipour, Kajetan Grodecki, Nipun Manral, et al.
Psychosomatic Medicine
|
May 25, 2005
Social network and coronary artery calcification in asymptomatic individuals
Willem J Kop, Daniel S Berman, Heidi Gransar, et al.
European Radiology
|
April 28, 2019
Standardized volumetric plaque quantification and characterization from coronary CT angiography: a head-to-head comparison with invasive intravascular ultrasound
Hidenari Matsumoto, Satoshi Watanabe, Eisho Kyo, et al.
Circulation
|
November 18, 2009
Prognostic implications of myocardial perfusion single-photon emission computed tomography in the elderly
Rory Hachamovitch, Xingping Kang, Aman M Amanullah, et al.
Journal of the American College of Cardiology
|
June 4, 2013
Aggregate plaque volume by coronary computed tomography angiography is superior and incremental to luminal narrowing for diagnosis of ischemic lesions of intermediate stenosis severity
Ryo Nakazato, Aryeh Shalev, Joon-Hyung Doh, et al.
Journal of Cardiovascular Computed Tomography
|
November 2, 2024
Prognostic value of left ventricular mass measured on coronary computed tomography angiography
Michael Abiragi, Melanie Chen, Billy Lin, et al.
Psychosomatic Medicine
|
October 28, 2010
Do psychological risk factors predict the presence of coronary atherosclerosis?
Alan Rozanski, Heidi Gransar, Laura D Kubzansky, et al.
American Heart Journal Plus : Cardiology Research and Practice
|
March 17, 2025
Myocardial biomarkers in coronary microvascular dysfunction: Response to ranolazine
Katherine E Hampilos, Anum Asif, Puja K Mehta, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
November 26, 2019
Deep learning-based stenosis quantification from coronary CT Angiography
Youngtaek Hong, Frederic Commandeur, Sebastien Cadet, et al.
JACC. Cardiovascular Imaging
|
February 7, 2026
AI-Derived Ischemia Score From Coronary CT Angiography Predicts Myocardial Infarctions: Insights From the SCOT-HEART Trial
Waseem Hijazi, Joel Lenell, Kajetan Grodecki, et al.
Page
of 97
Search research articles
Search
Showing results (361-370 of 969) with videos related to
Sort By:
Page
of 97
Atherosclerosis
|
January 14, 2025
AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects
Aryabod Razipour, Kajetan Grodecki, Nipun Manral, et al.
Psychosomatic Medicine
|
May 25, 2005
Social network and coronary artery calcification in asymptomatic individuals
Willem J Kop, Daniel S Berman, Heidi Gransar, et al.
European Radiology
|
April 28, 2019
Standardized volumetric plaque quantification and characterization from coronary CT angiography: a head-to-head comparison with invasive intravascular ultrasound
Hidenari Matsumoto, Satoshi Watanabe, Eisho Kyo, et al.
Circulation
|
November 18, 2009
Prognostic implications of myocardial perfusion single-photon emission computed tomography in the elderly
Rory Hachamovitch, Xingping Kang, Aman M Amanullah, et al.
Journal of the American College of Cardiology
|
June 4, 2013
Aggregate plaque volume by coronary computed tomography angiography is superior and incremental to luminal narrowing for diagnosis of ischemic lesions of intermediate stenosis severity
Ryo Nakazato, Aryeh Shalev, Joon-Hyung Doh, et al.
Journal of Cardiovascular Computed Tomography
|
November 2, 2024
Prognostic value of left ventricular mass measured on coronary computed tomography angiography
Michael Abiragi, Melanie Chen, Billy Lin, et al.
Psychosomatic Medicine
|
October 28, 2010
Do psychological risk factors predict the presence of coronary atherosclerosis?
Alan Rozanski, Heidi Gransar, Laura D Kubzansky, et al.
American Heart Journal Plus : Cardiology Research and Practice
|
March 17, 2025
Myocardial biomarkers in coronary microvascular dysfunction: Response to ranolazine
Katherine E Hampilos, Anum Asif, Puja K Mehta, et al.
Proceedings of Spie--The International Society for Optical Engineering
|
November 26, 2019
Deep learning-based stenosis quantification from coronary CT Angiography
Youngtaek Hong, Frederic Commandeur, Sebastien Cadet, et al.
JACC. Cardiovascular Imaging
|
February 7, 2026
AI-Derived Ischemia Score From Coronary CT Angiography Predicts Myocardial Infarctions: Insights From the SCOT-HEART Trial
Waseem Hijazi, Joel Lenell, Kajetan Grodecki, et al.
Page
of 97