日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Comparison of manual and artificial intelligence based quantification of myocardial strain by feature tracking-a cardiovascular MR study in health and disease

基于特征追踪的手动和人工智能心肌应变定量比较——一项针对健康和疾病的心血管磁共振研究

期刊:European Radiology
影响因子:4.7
doi:10.1007/s00330-023-10127-y
Gröschel, Jan; Kuhnt, Johanna; Viezzer, Darian; Hadler, Thomas; Hormes, Sophie; Barckow, Phillip; Schulz-Menger, Jeanette; Blaszczyk, Edyta
发表日期：2024
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Adiposity influences on myocardial deformation: a cardiovascular magnetic resonance feature tracking study in people with overweight to obesity without established cardiovascular disease

肥胖对心肌形变的影响：一项针对超重至肥胖但无既往心血管疾病人群的心血管磁共振特征追踪研究

期刊:
影响因子:
doi:10.1007/s10554-023-03034-2
Bolz, Constantin; Blaszczyk, Edyta; Mayr, Thomas; Lim, Carolin; Haufe, Sven; Jordan, Jens; Barckow, Philipp; Gröschel, Jan; Schulz-Menger, Jeanette
心血管疾病
肥胖
心血管
代谢
发表日期：2024
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Predicting post-contrast information from contrast agent free cardiac MRI using machine learning: Challenges and methods

利用机器学习预测无对比剂心脏磁共振成像的对比后信息：挑战与方法

期刊:Frontiers in Cardiovascular Medicine
影响因子:2.9
doi:10.3389/fcvm.2022.894503
Abdulkareem, Musa; Kenawy, Asmaa A; Rauseo, Elisa; Lee, Aaron M; Sojoudi, Alireza; Amir-Khalili, Alborz; Lekadir, Karim; Young, Alistair A; Barnes, Michael R; Barckow, Philipp; Khanji, Mohammed Y; Aung, Nay; Petersen, Steffen E
发表日期：2022
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Assessment of diastolic dysfunction: comparison of different cardiovascular magnetic resonance techniques

舒张功能障碍的评估：不同心血管磁共振技术的比较

期刊:Esc Heart Failure
影响因子:3.7
doi:10.1002/ehf2.12846
Kermer, Josephine; Traber, Julius; Utz, Wolfgang; Hennig, Pierre; Menza, Marius; Jung, Bernd; Greiser, Andreas; Barckow, Philipp; von Knobelsdorff-Brenkenhoff, Florian; Töpper, Agnieszka; Blaszczyk, Edyta; Schulz-Menger, Jeanette
发表日期：2020
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