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Ebraham Alskaf

Showing results (1-10 of 17) with videos related to

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Journal of Echocardiography|February 25, 2018
The mystery of defining aortic valve area: what have we learnt from three-dimensional imaging modalities?Ebraham Alskaf, Attila Kardos
Echocardiography (Mount Kisco, N.Y.)|February 1, 2020
Aortic valve area using computed tomography-derived correction factor to improve the validity of left ventricular outflow tract measurementsEbraham Alskaf, Tarun Gupta, Attila Kardos
The Heart Surgery Forum|June 30, 2016
Pannus Formation Leads to Valve Malfunction in the Tricuspid Position 19 Years after Triple Valve ReplacementEbraham Alskaf, Hannah McConkey, Nabila Laskar, et al.
Journal of Medical Artificial Intelligence|March 2, 2023
Deep learning applications in coronary anatomy imaging: a systematic review and meta-analysisEbraham 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-analysisEbraham Alskaf, Utkarsh Dutta, Cian M Scannell, et al.
International Journal of Cardiology|June 18, 2022
Implementation of a CT-derived correction factor to refine the measurement of aortic valve area and stroke volume using Doppler echocardiography improves grading of severity and prediction of prognosis in patients with severe aortic stenosisAttila Kardos, Dan Rusinaru, Sylvestre Maréchaux, et al.
European Heart Journal. Imaging Methods and Practice|January 29, 2024
High-resolution quantification of stress perfusion defects by cardiac magnetic resonanceCian M Scannell, Richard Crawley, Ebraham Alskaf, et al.
Journal of Medical Artificial Intelligence|December 12, 2024
Qualitative American Heart Association plot of late gadolinium enhancement with mortality and ventricular arrhythmia prediction using artificial intelligenceEbraham Alskaf, Cian M Scannell, Avan Suinesiaputra, et al.
European Heart Journal. Digital Health|February 6, 2023
AI-AIF: artificial intelligence-based arterial input function for quantitative stress perfusion cardiac magnetic resonanceCian M Scannell, Ebraham Alskaf, Noor Sharrack, et al.
Journal of Medical Artificial Intelligence|April 8, 2024
Hybrid artificial intelligence outcome prediction using features extraction from stress perfusion cardiac magnetic resonance images and electronic health recordsEbraham Alskaf, Richard Crawley, Cian M Scannell, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Journal of Echocardiography|February 25, 2018
The mystery of defining aortic valve area: what have we learnt from three-dimensional imaging modalities?Ebraham Alskaf, Attila Kardos
Echocardiography (Mount Kisco, N.Y.)|February 1, 2020
Aortic valve area using computed tomography-derived correction factor to improve the validity of left ventricular outflow tract measurementsEbraham Alskaf, Tarun Gupta, Attila Kardos
The Heart Surgery Forum|June 30, 2016
Pannus Formation Leads to Valve Malfunction in the Tricuspid Position 19 Years after Triple Valve ReplacementEbraham Alskaf, Hannah McConkey, Nabila Laskar, et al.
Journal of Medical Artificial Intelligence|March 2, 2023
Deep learning applications in coronary anatomy imaging: a systematic review and meta-analysisEbraham 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-analysisEbraham Alskaf, Utkarsh Dutta, Cian M Scannell, et al.
International Journal of Cardiology|June 18, 2022
Implementation of a CT-derived correction factor to refine the measurement of aortic valve area and stroke volume using Doppler echocardiography improves grading of severity and prediction of prognosis in patients with severe aortic stenosisAttila Kardos, Dan Rusinaru, Sylvestre Maréchaux, et al.
European Heart Journal. Imaging Methods and Practice|January 29, 2024
High-resolution quantification of stress perfusion defects by cardiac magnetic resonanceCian M Scannell, Richard Crawley, Ebraham Alskaf, et al.
Journal of Medical Artificial Intelligence|December 12, 2024
Qualitative American Heart Association plot of late gadolinium enhancement with mortality and ventricular arrhythmia prediction using artificial intelligenceEbraham Alskaf, Cian M Scannell, Avan Suinesiaputra, et al.
European Heart Journal. Digital Health|February 6, 2023
AI-AIF: artificial intelligence-based arterial input function for quantitative stress perfusion cardiac magnetic resonanceCian M Scannell, Ebraham Alskaf, Noor Sharrack, et al.
Journal of Medical Artificial Intelligence|April 8, 2024
Hybrid artificial intelligence outcome prediction using features extraction from stress perfusion cardiac magnetic resonance images and electronic health recordsEbraham Alskaf, Richard Crawley, Cian M Scannell, et al.
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