Ebraham相关文献与解析，生知库 | 链接生命科学的每一步

日期影响因子

Discordance in left ventricular assessment by CMR vs. echocardiography and potential impact on management of ischaemic left ventricular dysfunction

心脏磁共振成像与超声心动图在左心室评估方面的差异及其对缺血性左心室功能障碍治疗的潜在影响

期刊:European Heart Journal-Cardiovascular Imaging

影响因子:6.6

doi:10.1093/ehjci/jeaf209

Betemariam, Tesfamariam Aklilu; Morgan, Holly P; Kapetanakis, Stamatis; Mancio, Jennifer; Alskaf, Ebraham; Okafor, Joseph; Senior, Roxy; Ryan, Matthew; Chiribiri, Amedeo; Perera, Divaka

发表日期：2025

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Measurement of myocardial blood flow in atrial fibrillation using high-resolution, free-breathing in-line quantitative cardiovascular magnetic resonance

利用高分辨率、自由呼吸在线定量心血管磁共振技术测量心房颤动患者的心肌血流

期刊:Journal of Cardiovascular Magnetic Resonance

影响因子:6.1

doi:10.1016/j.jocmr.2025.101917

Crawley, Richard J; Kunze, Karl-Philipp; Kaushal, Anmol; Milidonis, Xenios; Highton, Jack; Domenech-Ximenos, Blanca; Kotadia, Irum D; Karamanli, Can; Wong, Nathan C K; Murphy, Robbie; Alskaf, Ebraham; Neji, Radhouene; O'Neill, Mark; Williams, Steven E; Scannell, Cian M; Plein, Sven; Chiribiri, Amedeo

发表日期：2025

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Combining optimized three-dimensional ZOOMit real inversion recovery with T2-preparation to shorten the delay interval and scan time for endolymphatic hydrops evaluation in patients with Ménière's disease

结合优化的三维 ZOOMit 真实反转恢复序列和 T2 准备技术，可缩短梅尼埃病患者内淋巴积水评估的延迟间隔和扫描时间。

期刊:Quantitative Imaging in Medicine and Surgery

影响因子:2.3

doi:10.21037/qims-2025-179

Li, Jin-Ye; Chen, Shou-Juan; Yue, Guang-Hong; Wang, Ting-Ting; Hu, Na; Wang, Lin-Sheng; Liu, Meng-Xiao; Alskaf, Ebraham; Sun, Li-Xin; Li, Long

发表日期：2025

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Qualitative American Heart Association plot of late gadolinium enhancement with mortality and ventricular arrhythmia prediction using artificial intelligence

利用人工智能对晚期钆增强与死亡率和室性心律失常预测进行定性分析的美国心脏协会曲线

doi:10.21037/jmai-24-94

Alskaf, Ebraham; Scannell, Cian M; Suinesiaputra, Avan; Crawley, Richard; Masci, PierGiorgio; Young, Alistair; Perera, Divaka; Chiribiri, Amedeo

发表日期：2025

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Hybrid artificial intelligence outcome prediction using features extraction from stress perfusion cardiac magnetic resonance images and electronic health records

利用从压力灌注心脏磁共振图像和电子健康记录中提取的特征，进行混合人工智能结果预测

doi:10.21037/jmai-24-1

Alskaf, Ebraham; Crawley, Richard; Scannell, Cian M; Suinesiaputra, Avan; Young, Alistair; Masci, Pier-Giorgio; Perera, Divaka; Chiribiri, Amedeo

发表日期：2024

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Machine learning outcome prediction using stress perfusion cardiac magnetic resonance reports and natural language processing of electronic health records

利用压力灌注心脏磁共振报告和电子健康记录的自然语言处理进行机器学习结果预测

期刊:Informatics in Medicine Unlocked

doi:10.1016/j.imu.2023.101418

Alskaf, Ebraham; Frey, Simon M; Scannell, Cian M; Suinesiaputra, Avan; Vilic, Dijana; Dinu, Vlad; Masci, Pier Giorgio; Perera, Divaka; Young, Alistair; Chiribiri, Amedeo

发表日期：2024

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Qualitative stress perfusion American Heart Association plot and outcome prediction using artificial intelligence

定性应激灌注美国心脏协会图表及利用人工智能进行结果预测

期刊:Informatics in Medicine Unlocked

doi:10.1016/j.imu.2024.101537

Alskaf, Ebraham; Scannell, Cian M; Crawley, Richard; Suinesiaputra, Avan; Masci, PierGiorgio; Young, Alistair; Perera, Divaka; Chiribiri, Amedeo

发表日期：2024

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High-resolution quantification of stress perfusion defects by cardiac magnetic resonance

利用心脏磁共振高分辨率定量分析应激灌注缺陷

doi:10.1093/ehjimp/qyae001

Scannell, Cian M; Crawley, Richard; Alskaf, Ebraham; Breeuwer, Marcel; Plein, Sven; Chiribiri, Amedeo

发表日期：2024

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AI-AIF: artificial intelligence-based arterial input function for quantitative stress perfusion cardiac magnetic resonance

AI-AIF：基于人工智能的动脉输入函数，用于定量应激灌注心脏磁共振成像

期刊:European Heart Journal - Digital Health

影响因子:3.9

doi:10.1093/ehjdh/ztac074

Scannell, Cian M; Alskaf, Ebraham; Sharrack, Noor; Razavi, Reza; Ourselin, Sebastien; Young, Alistair A; Plein, Sven; Chiribiri, Amedeo

发表日期：2023

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Oral Epithelial Cells Expressing Low or Undetectable Levels of Human Angiotensin-Converting Enzyme 2 Are Susceptible to SARS-CoV-2 Virus Infection In Vitro

体外实验中，表达低水平或不可检测水平的人类血管紧张素转换酶 2 的口腔上皮细胞易受 SARS-CoV-2 病毒感染

期刊:Pathogens

影响因子:3.3

doi:10.3390/pathogens12060843

Laith Ebraham, Chuan Xu, Annie Wang, Cyril Hernandez, Nicholas Siclari, Divino Rajah, Lewins Walter, Salvatore A E Marras, Sanjay Tyagi, Daniel H Fine, Carlo Amorin Daep, Theresa L Chang

发表日期：2023

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