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Alskaf, Ebraham
44
results:
Search for persons
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Format
Online (44)
Mediatypes
Articles (Online) (18)
Bookchapter (Online) (2)
OpenAccess-fulltext (24)
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?
1
Qualitative stress perfusion American Heart Association plo..:
Alskaf, Ebraham
;
Scannell, Cian M.
;
Crawley, Richard
...
Informatics in Medicine Unlocked. 49 (2024) - p. 101537 , 2024
Link:
https://doi.org/10.1016/..
?
2
Evaluation of Coronary Artery Disease Using High-resolution..:
Crawley, Richard
;
Milidonis, Xenios
;
Kunze, Karl
...
Journal of Cardiovascular Magnetic Resonance. 26 (2024) - p. 100799 , 2024
Link:
https://doi.org/10.1016/..
?
3
Accurate Measurement of Myocardial Blood Flow in Atrial Fib..:
Crawley, Richard
;
Milidonis, Xenios
;
Kunze, Karl
...
Journal of Cardiovascular Magnetic Resonance. 26 (2024) - p. 100949 , 2024
Link:
https://doi.org/10.1016/..
?
4
High-resolution quantification of stress perfusion defects ..:
Scannell, Cian M
;
Crawley, Richard
;
Alskaf, Ebraham
...
European Heart Journal - Imaging Methods and Practice. 2 (2024) 1 - p. , 2024
Link:
https://doi.org/10.1093/..
?
5
Automated Stress Perfusion Prognostic Assessment Using Styl..:
Alskaf, Ebraham
;
Crawley, Richard
;
Scannell, Cian
...
Journal of Cardiovascular Magnetic Resonance. 26 (2024) - p. 100265 , 2024
Link:
https://doi.org/10.1016/..
?
6
Assessment of the Effect of Patient Age and Sex on Normal H..:
Crawley, Richard
;
Milidonis, Xenios
;
Kunze, Karl
...
Journal of Cardiovascular Magnetic Resonance. 26 (2024) - p. 100800 , 2024
Link:
https://doi.org/10.1016/..
?
7
Corrigendum to "Machine learning outcome prediction using s..:
Alskaf, Ebraham
;
Frey, Simon M.
;
Scannell, Cian M.
...
Informatics in Medicine Unlocked. 45 (2024) - p. 101431 , 2024
Link:
https://doi.org/10.1016/..
?
8
Advancing Left Atrial MRI Evaluation: 3D Motion Atlas Chara..:
Galazis, Christoforos
;
Alskaf, Ebraham
;
Chiribiri, Amedeo
...
Journal of Cardiovascular Magnetic Resonance. 26 (2024) - p. 100214 , 2024
Link:
https://doi.org/10.1016/..
?
9
High-resolution Stress Perfusion CMR with Inline Quantitati..:
Crawley, Richard
;
Milidonis, Xenios
;
Kunze, Karl
...
Journal of Cardiovascular Magnetic Resonance. 26 (2024) - p. 100954 , 2024
Link:
https://doi.org/10.1016/..
?
10
Machine learning outcome prediction using stress perfusion ..:
Alskaf, Ebraham
;
Frey, Simon M.
;
Scannell, Cian M.
...
Informatics in Medicine Unlocked. 44 (2024) - p. 101418 , 2024
Link:
https://doi.org/10.1016/..
?
11
High-Resolution Free-Breathing Quantitative First-Pass Perf..:
Tourais, Joao
;
Scannell, Cian M.
;
Schneider, Torben
...
Frontiers in Cardiovascular Medicine. 9 (2022) - p. , 2022
Link:
https://doi.org/10.3389/..
?
12
Brief Research Report: Quantitative Analysis of Potential C..:
Doeblin, Patrick
;
Steinbeis, Fridolin
;
Scannell, Cian M.
...
Frontiers in Cardiovascular Medicine. 9 (2022) - p. , 2022
Link:
https://doi.org/10.3389/..
?
13
Implementation of a CT-derived correction factor to refine ..:
Kardos, Attila
;
Rusinaru, Dan
;
Maréchaux, Sylvestre
...
International Journal of Cardiology. 363 (2022) - p. 129-137 , 2022
Link:
https://doi.org/10.1016/..
?
14
Deep learning applications in myocardial perfusion imaging,..:
Alskaf, Ebraham
;
Dutta, Utkarsh
;
Scannell, Cian M.
.
Informatics in Medicine Unlocked. 32 (2022) - p. 101055 , 2022
Link:
https://doi.org/10.1016/..
?
15
AI-AIF: artificial intelligence-based arterial input functi..:
Scannell, Cian M
;
Alskaf, Ebraham
;
Sharrack, Noor
...
European Heart Journal - Digital Health. 4 (2022) 1 - p. 12-21 , 2022
Link:
https://doi.org/10.1093/..
1-15