Ebraham Alskaf
Overview
Explore the profile of Ebraham Alskaf including associated specialties, affiliations and a list of published articles.
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16
Citations
34
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Recent Articles
1.
Galazis C, Shepperd S, Brouwer E, Queiros S, Alskaf E, Anjari M, et al.
IEEE Trans Med Imaging
. 2025 Mar;
PP.
PMID: 40030862
The functional analysis of the left atrium (LA) is important for evaluating cardiac health and understanding diseases like atrial fibrillation. Cine MRI is ideally placed for the detailed 3D characterization...
2.
Alskaf E, Scannell C, Suinesiaputra A, Crawley R, Masci P, Young A, et al.
J Med Artif Intell
. 2024 Dec;
8:2.
PMID: 39664888
Background: The prognostic value of late gadolinium enhancement (LGE) in cardiac magnetic resonance (CMR) imaging is well-established. However, the direct relationship between image pixels and outcomes remains poorly understood. We...
3.
Alskaf E, Scannell C, Crawley R, Suinesiaputra A, Masci P, Young A, et al.
Inform Med Unlocked
. 2024 Jul;
49:101537.
PMID: 39015506
No abstract available.
4.
Alskaf E, Crawley R, Scannell C, Suinesiaputra A, Young A, Masci P, et al.
J Med Artif Intell
. 2024 Apr;
7:3.
PMID: 38584766
Background: Prediction of clinical outcomes in coronary artery disease (CAD) has been conventionally achieved using clinical risk factors. The relationship between imaging features and outcome is still not well understood....
5.
Scannell C, Crawley R, Alskaf E, Breeuwer M, Plein S, Chiribiri A
Eur Heart J Imaging Methods Pract
. 2024 Jan;
2(1):qyae001.
PMID: 38283662
Aims: Quantitative stress perfusion cardiac magnetic resonance (CMR) is becoming more widely available, but it is still unclear how to integrate this information into clinical decision-making. Typically, pixel-wise perfusion maps...
6.
Alskaf E, Frey S, Scannell C, Suinesiaputra A, Vilic D, Dinu V, et al.
Inform Med Unlocked
. 2024 Jan;
44:101418.
PMID: 38173908
No abstract available.
7.
Liu Z, Li H, Li W, Zhuang D, Zhang F, Ouyang W, et al.
Quant Imaging Med Surg
. 2023 Dec;
13(12):8657-8668.
PMID: 38106309
Background: As the global burden of hypertension continues to increase, early diagnosis and treatment play an increasingly important role in improving the prognosis of patients. In this study, we developed...
8.
Alskaf E, Dutta U, Scannell C, Chiribiri A
J Med Artif Intell
. 2023 Mar;
5:11.
PMID: 36861064
Background: The application of deep learning on medical imaging is growing in prevalence in the recent literature. One of the most studied areas is coronary artery disease (CAD). Imaging of...
9.
Scannell C, Alskaf E, Sharrack N, Razavi R, Ourselin S, Young A, et al.
Eur Heart J Digit Health
. 2023 Feb;
4(1):12-21.
PMID: 36743875
Aims: One of the major challenges in the quantification of myocardial blood flow (MBF) from stress perfusion cardiac magnetic resonance (CMR) is the estimation of the arterial input function (AIF)....
10.
Alskaf E, Dutta U, Scannell C, Chiribiri A
Inform Med Unlocked
. 2022 Oct;
32:101055.
PMID: 36187893
Background: Coronary artery disease (CAD) is a leading cause of death worldwide, and the diagnostic process comprises of invasive testing with coronary angiography and non-invasive imaging, in addition to history,...