Search Results - "Alskaf, E."

Tolvaptan for Heart Failure, Systematic Review and Meta-Analysis of Trials by Alskaf, E, Tridente, A, Al-Mohammad, A

“…The vasopressin type 2 receptor antagonist tolvaptan (TLV) is available to treat congestion in patients with heart failure. However, there is paucity of…”
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High-Resolution Free-Breathing Automated Quantitative Myocardial Perfusion by Cardiovascular Magnetic Resonance for the Detection of Functionally Significant Coronary Artery Disease by Crawley, R, Kunze, K P, Milidonis, X, Highton, J, McElroy, S, Frey, S M, Hoefler, D, Karamanli, C, Wong, N C K, Backhaus, S J, Alskaf, E, Neji, R, Scannell, C M, Plein, S, Chiribiri, A

“…Current assessment of myocardial ischaemia from stress perfusion cardiovascular magnetic resonance (SP-CMR) largely relies on visual interpretation. This study…”
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Hybrid Artificial Intelligence Outcome Prediction Using Feature Extraction from Stress Perfusion Cardiac Magnetic Resonance Images and Electronic Health Records by Alskaf, E, Suinesiaputra, A, Scannell, C M, Razavi, R, Ourselin, S, Young, A, Perera, D, Chiribiri, A

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The correlation between cardiac magnetic resonance imaging and echocardiography in patients with severe ischaemic cardiomyopathy by Betemariam, T, Morgan, H, Mancio, J, Alskaf, E, Ryan, M, Draper, J, Papachristidis, A, Senior, R, Kapetanakis, S, Chiribiri, A, Perera, D

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Automated quantitative myocardial perfusion cardiac magnetic resonance with artificial intelligence-based arterial input function correction versus fractional flow reserve by Scannell, C M, Crawley, R, Wong, N C K, Alskaf, E, Chiribiri, A

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High-resolution CINE MRI allows estimation of 3D regional atrial strains by Varela, M, Anjari, M, Correia, T, Zakeri, R, Alskaf, E, Chiribiri, A, Lee, J

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AI-AIF: artificial intelligence-based arterial input function correction for quantitative stress perfusion cardiac MRI by Scannell, C M, Alskaf, E, Sharrack, N, Plein, S, Chribiri, A

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Machine learning outcome prediction using stress perfusion cardiac magnetic resonance and electronic health records by Alskaf, E, Frey, S M, Scannell, C M, Suinesiaputra, A, Vilic, D, Dinu, V, Young, A, Chiribiri, A

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Scar characterisation to predict arrhythmia and death in ischaemic cardiomyopathy: insights from the REVIVED trial by Morgan, H, Chiribiri, A, Nazir, S, Masci, P G, Ryan, M, Mancio, J, Alskaf, E, Dodd, M, Clayton, T, Weerackody, R, O'kane, P, Greenwood, J, Petrie, M, Rinaldi, C A, Perera, D

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Stress myocardial blood flow reduced after severe COVID-19, not related to symptoms by Doeblin, P, Goetze, C, Al-Tabatabaee, S, Berger, A, Steinbeis, F, Witzenrath, M, Faragli, A, Stehning, C, Chiribiri, A, Scannell, C M, Alskaf, E, Pieske, B, Kelle, S

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Rapid Fire Abstract: Cardiac imaging with computed tomography and radionuclide techniques: usefulness in miscellaneous patient subsets347A novel CT calcium-based approach for predicting mitral stenosis348Value of 18-fluoro-2-deoxyglucose positron emission tomography-computed tomography in the diagnosis of native, prosthetic and device related infective endocarditis349Pulmonary veins anatomy variants assessment using CT in patients with atrial fibrillation350Aortic valve area using cardiac CT to by Setiawan, S., Castineira Busto, M., Wozniak-Skowerska, I., Alskaf, E., Boiten, HJ, Ahmed, A., Karolyi, M., Benedek, T., Ewe, SH, Allen, JC, Chao, V., Lee, CY, Tan, F., Lim, ST, Ho, KW, Soon, JL, Tan, SY, Martinez Monzonis, MA, Pubul Nunez, V., Martinez De La Alegria Alonso, A., Pena Gil, C., Alvarez Barredo, M., Bandin Dieguez, MA, Gonzalez Juanatey, JR, Skowerski, M., Hoffmann, A., Nowak, S., Faryan, M., Kolasa, J., Skowerski, T., Sosnowski, M., Wnuk-Wojnar, A., Mizia-Stec, K., Kardos, A., Valkema, R., Van Den Berge, JC, Van Domburg, RT, Zijlstra, F., Schinkel, AFL, Suleiman, A., Almohdar, S., Aljizeeri, A., Smete, O., Abazid, R., Alsaileek, A., Alharthi, M., Al-Mallah, M., Bartykowszki, A., Kolossvary, M., Kocsmar, I., Szilveszter, B., Jermendy, A., Karady, J., Sax, B., Balogh, O., Merkely, B., Maurovich-Horvat, P., Rat, N., Morariu, M., Suciu, ZS, Stanescu, A., Dobra, M., Opincariu, D., Benedek, I.

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