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Journal of Magnetic Resonance Imaging : JMRI
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March 26, 2026
Editorial for "Detection of Coronary Microvascular Dysfunction in Diabetic Mice Using Arterial Spin Labeling Cardiac MRI: A Multimodality Imaging Comparison"
Cian M Scannell, Robert J Holtackers
Journal of Medical Artificial Intelligence
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March 2, 2023
Deep learning applications in coronary anatomy imaging: a systematic review and meta-analysis
Ebraham Alskaf, Utkarsh Dutta, Cian M Scannell, et al.
Informatics in Medicine Unlocked
|
October 3, 2022
Deep learning applications in myocardial perfusion imaging, a systematic review and meta-analysis
Ebraham Alskaf, Utkarsh Dutta, Cian M Scannell, et al.
Magma (New York, N.Y.)
|
June 20, 2024
The intelligent imaging revolution: artificial intelligence in MRI and MRS acquisition and reconstruction
Thomas Küstner, Chen Qin, Changyu Sun, et al.
European Heart Journal. Cardiovascular Imaging
|
December 1, 2021
Cardiac magnetic resonance perfusion abnormality due to anaemia
Ozan M Demir, Cian M Scannell, Amedeo Chiribiri, et al.
Medical Image Analysis
|
November 25, 2019
Hierarchical Bayesian myocardial perfusion quantification
Cian M Scannell, Amedeo Chiribiri, Adriana D M Villa, et al.
European Heart Journal. Imaging Methods and Practice
|
January 29, 2024
High-resolution quantification of stress perfusion defects by cardiac magnetic resonance
Cian M Scannell, Richard Crawley, Ebraham Alskaf, et al.
IEEE Transactions on Medical Imaging
|
February 5, 2019
Robust Non-Rigid Motion Compensation of Free-Breathing Myocardial Perfusion MRI Data
Cian M Scannell, Adriana D M Villa, Jack Lee, et al.
Medical Image Analysis
|
March 17, 2022
Physics-informed neural networks for myocardial perfusion MRI quantification
Rudolf L M van Herten, Amedeo Chiribiri, Marcel Breeuwer, et al.
Computer Methods and Programs in Biomedicine
|
September 23, 2022
Optimized automated cardiac MR scar quantification with GAN-based data augmentation
Didier R P R M Lustermans, Sina Amirrajab, Mitko Veta, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 32) with videos related to
Sort By:
Page
of 4
Journal of Magnetic Resonance Imaging : JMRI
|
March 26, 2026
Editorial for "Detection of Coronary Microvascular Dysfunction in Diabetic Mice Using Arterial Spin Labeling Cardiac MRI: A Multimodality Imaging Comparison"
Cian M Scannell, Robert J Holtackers
Journal of Medical Artificial Intelligence
|
March 2, 2023
Deep learning applications in coronary anatomy imaging: a systematic review and meta-analysis
Ebraham Alskaf, Utkarsh Dutta, Cian M Scannell, et al.
Informatics in Medicine Unlocked
|
October 3, 2022
Deep learning applications in myocardial perfusion imaging, a systematic review and meta-analysis
Ebraham Alskaf, Utkarsh Dutta, Cian M Scannell, et al.
Magma (New York, N.Y.)
|
June 20, 2024
The intelligent imaging revolution: artificial intelligence in MRI and MRS acquisition and reconstruction
Thomas Küstner, Chen Qin, Changyu Sun, et al.
European Heart Journal. Cardiovascular Imaging
|
December 1, 2021
Cardiac magnetic resonance perfusion abnormality due to anaemia
Ozan M Demir, Cian M Scannell, Amedeo Chiribiri, et al.
Medical Image Analysis
|
November 25, 2019
Hierarchical Bayesian myocardial perfusion quantification
Cian M Scannell, Amedeo Chiribiri, Adriana D M Villa, et al.
European Heart Journal. Imaging Methods and Practice
|
January 29, 2024
High-resolution quantification of stress perfusion defects by cardiac magnetic resonance
Cian M Scannell, Richard Crawley, Ebraham Alskaf, et al.
IEEE Transactions on Medical Imaging
|
February 5, 2019
Robust Non-Rigid Motion Compensation of Free-Breathing Myocardial Perfusion MRI Data
Cian M Scannell, Adriana D M Villa, Jack Lee, et al.
Medical Image Analysis
|
March 17, 2022
Physics-informed neural networks for myocardial perfusion MRI quantification
Rudolf L M van Herten, Amedeo Chiribiri, Marcel Breeuwer, et al.
Computer Methods and Programs in Biomedicine
|
September 23, 2022
Optimized automated cardiac MR scar quantification with GAN-based data augmentation
Didier R P R M Lustermans, Sina Amirrajab, Mitko Veta, et al.
Page
of 4