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JACC. Cardiovascular Imaging
|
April 18, 2021
Three Automated Quantitative Cardiac Magnetic Resonance Perfusion Analyses Versus Invasive Fractional Flow Reserve in Swine
Andrew J Bradley, Daniel W Groves, Mitchel Benovoy, et al.
Frontiers in Artificial Intelligence
|
December 9, 2022
DeepHeartCT: A fully automatic artificial intelligence hybrid framework based on convolutional neural network and multi-atlas segmentation for multi-structure cardiac computed tomography angiography image segmentation
Vy Bui, Li-Yueh Hsu, Lin-Ching Chang, et al.
Magnetic Resonance in Medicine
|
March 24, 2021
A theoretical framework for retrospective <math></math> correction to the arterial input function in quantitative myocardial perfusion MRI
Lexiaozi Fan, Bradley D Allen, Austin E Culver, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance
|
September 26, 2013
Regadenoson and adenosine are equivalent vasodilators and are superior than dipyridamole- a study of first pass quantitative perfusion cardiovascular magnetic resonance
Sujethra Vasu, W Patricia Bandettini, Li-Yueh Hsu, et al.
JACC. Cardiovascular Imaging
|
June 16, 2012
Myocardial edema as detected by pre-contrast T1 and T2 CMR delineates area at risk associated with acute myocardial infarction
Martin Ugander, Paul S Bagi, Abiola J Oki, et al.
European Heart Journal. Cardiovascular Imaging
|
April 18, 2015
Temporal and spatial characteristics of the area at risk investigated using computed tomography and T1-weighted magnetic resonance imaging
Jesper van der Pals, Sophia Hammer-Hansen, Sonia Nielles-Vallespin, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance
|
March 9, 2018
Fully quantitative pixel-wise analysis of cardiovascular magnetic resonance perfusion improves discrimination of dark rim artifact from perfusion defects associated with epicardial coronary stenosis
Allison D Ta, Li-Yueh Hsu, Hannah M Conn, et al.
JACC. Cardiovascular Imaging
|
September 26, 2016
Early Gadolinium Enhancement for Determination of Area at Risk: A Preclinical Validation Study
Sophia Hammer-Hansen, Steve W Leung, Li-Yueh Hsu, et al.
European Heart Journal
|
January 27, 2012
Extracellular volume imaging by magnetic resonance imaging provides insights into overt and sub-clinical myocardial pathology
Martin Ugander, Abiola J Oki, Li-Yueh Hsu, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance
|
August 10, 2025
SCMR Expert Consensus Statement on Quantitative Myocardial Perfusion Cardiovascular Magnetic Resonance Imaging
Amedeo Chiribiri, Andrew E Arai, Edward DiBella, et al.
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of 7
Search research articles
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Showing results (41-50 of 69) with videos related to
Sort By:
Page
of 7
JACC. Cardiovascular Imaging
|
April 18, 2021
Three Automated Quantitative Cardiac Magnetic Resonance Perfusion Analyses Versus Invasive Fractional Flow Reserve in Swine
Andrew J Bradley, Daniel W Groves, Mitchel Benovoy, et al.
Frontiers in Artificial Intelligence
|
December 9, 2022
DeepHeartCT: A fully automatic artificial intelligence hybrid framework based on convolutional neural network and multi-atlas segmentation for multi-structure cardiac computed tomography angiography image segmentation
Vy Bui, Li-Yueh Hsu, Lin-Ching Chang, et al.
Magnetic Resonance in Medicine
|
March 24, 2021
A theoretical framework for retrospective <math></math> correction to the arterial input function in quantitative myocardial perfusion MRI
Lexiaozi Fan, Bradley D Allen, Austin E Culver, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance
|
September 26, 2013
Regadenoson and adenosine are equivalent vasodilators and are superior than dipyridamole- a study of first pass quantitative perfusion cardiovascular magnetic resonance
Sujethra Vasu, W Patricia Bandettini, Li-Yueh Hsu, et al.
JACC. Cardiovascular Imaging
|
June 16, 2012
Myocardial edema as detected by pre-contrast T1 and T2 CMR delineates area at risk associated with acute myocardial infarction
Martin Ugander, Paul S Bagi, Abiola J Oki, et al.
European Heart Journal. Cardiovascular Imaging
|
April 18, 2015
Temporal and spatial characteristics of the area at risk investigated using computed tomography and T1-weighted magnetic resonance imaging
Jesper van der Pals, Sophia Hammer-Hansen, Sonia Nielles-Vallespin, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance
|
March 9, 2018
Fully quantitative pixel-wise analysis of cardiovascular magnetic resonance perfusion improves discrimination of dark rim artifact from perfusion defects associated with epicardial coronary stenosis
Allison D Ta, Li-Yueh Hsu, Hannah M Conn, et al.
JACC. Cardiovascular Imaging
|
September 26, 2016
Early Gadolinium Enhancement for Determination of Area at Risk: A Preclinical Validation Study
Sophia Hammer-Hansen, Steve W Leung, Li-Yueh Hsu, et al.
European Heart Journal
|
January 27, 2012
Extracellular volume imaging by magnetic resonance imaging provides insights into overt and sub-clinical myocardial pathology
Martin Ugander, Abiola J Oki, Li-Yueh Hsu, et al.
Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance
|
August 10, 2025
SCMR Expert Consensus Statement on Quantitative Myocardial Perfusion Cardiovascular Magnetic Resonance Imaging
Amedeo Chiribiri, Andrew E Arai, Edward DiBella, et al.
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of 7