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JACC. Cardiovascular Imaging
|
June 9, 2022
Transforming the Coronary Artery Disease Care Pathway Bridging Computational Fluid Dynamics to Coronary CTA
Mark G Rabbat
JACC. Cardiovascular Imaging
|
October 25, 2016
The New Era of Computational Fluid Dynamics in CT Angiography: Far Beyond the FFR Number
Gianluca Pontone, Mark G Rabbat
Echocardiography (Mount Kisco, N.Y.)
|
January 29, 2025
Left Atrial Markers in Diagnosing and Prognosticating Non-Ischemic Cardiomyopathies: Ready for Prime Time?
Mina M Benjamin, Mark G Rabbat
Journal of Cardiovascular Computed Tomography
|
May 14, 2019
Moving beyond stenosis: Assessing ischemia based off plaque morphology and burden of disease on coronary CTA
Mark G Rabbat, John J Lopez
Diagnostics (Basel, Switzerland)
|
February 10, 2024
Artificial Intelligence in Transcatheter Aortic Valve Replacement: Its Current Role and Ongoing Challenges
Mina M Benjamin, Mark G Rabbat
Quantitative Imaging in Medicine and Surgery
|
June 3, 2021
Machine learning-based advances in coronary computed tomography angiography
Mina M Benjamin, Mark G Rabbat
International Journal of Cardiology
|
March 5, 2021
Cardiovascular magnetic resonance of alcohol induced cardiomyopathy: Lost in the labyrinth of non-ischemic dilated cardiomyopathy
Giuseppe Muscogiuri, Mark G Rabbat, Gianluca Pontone
JACC. Cardiovascular Imaging
|
September 23, 2019
Understanding Coronary Physiology Through Dynamic CT Perfusion Imaging
Gianluca Pontone, Mark G Rabbat, Alexia Rossi
Journal of Cardiovascular Computed Tomography
|
September 24, 2024
SCCT Health Policy and Advocacy Efforts
Mark G Rabbat, Jonathan R Weir-McCall
Biomed Research International
|
April 30, 2021
Cardiac Phase Space Analysis: Assessing Coronary Artery Disease Utilizing Artificial Intelligence
Mark G Rabbat, Shyam Ramchandani, William E Sanders
Page
of 10
Search research articles
Search
Showing results (1-10 of 99) with videos related to
Sort By:
Page
of 10
JACC. Cardiovascular Imaging
|
June 9, 2022
Transforming the Coronary Artery Disease Care Pathway Bridging Computational Fluid Dynamics to Coronary CTA
Mark G Rabbat
JACC. Cardiovascular Imaging
|
October 25, 2016
The New Era of Computational Fluid Dynamics in CT Angiography: Far Beyond the FFR Number
Gianluca Pontone, Mark G Rabbat
Echocardiography (Mount Kisco, N.Y.)
|
January 29, 2025
Left Atrial Markers in Diagnosing and Prognosticating Non-Ischemic Cardiomyopathies: Ready for Prime Time?
Mina M Benjamin, Mark G Rabbat
Journal of Cardiovascular Computed Tomography
|
May 14, 2019
Moving beyond stenosis: Assessing ischemia based off plaque morphology and burden of disease on coronary CTA
Mark G Rabbat, John J Lopez
Diagnostics (Basel, Switzerland)
|
February 10, 2024
Artificial Intelligence in Transcatheter Aortic Valve Replacement: Its Current Role and Ongoing Challenges
Mina M Benjamin, Mark G Rabbat
Quantitative Imaging in Medicine and Surgery
|
June 3, 2021
Machine learning-based advances in coronary computed tomography angiography
Mina M Benjamin, Mark G Rabbat
International Journal of Cardiology
|
March 5, 2021
Cardiovascular magnetic resonance of alcohol induced cardiomyopathy: Lost in the labyrinth of non-ischemic dilated cardiomyopathy
Giuseppe Muscogiuri, Mark G Rabbat, Gianluca Pontone
JACC. Cardiovascular Imaging
|
September 23, 2019
Understanding Coronary Physiology Through Dynamic CT Perfusion Imaging
Gianluca Pontone, Mark G Rabbat, Alexia Rossi
Journal of Cardiovascular Computed Tomography
|
September 24, 2024
SCCT Health Policy and Advocacy Efforts
Mark G Rabbat, Jonathan R Weir-McCall
Biomed Research International
|
April 30, 2021
Cardiac Phase Space Analysis: Assessing Coronary Artery Disease Utilizing Artificial Intelligence
Mark G Rabbat, Shyam Ramchandani, William E Sanders
Page
of 10