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

Association between myosteatosis and impaired glucose metabolism: A deep learning whole-body magnetic resonance imaging population phenotyping approach

肌脂肪变性与葡萄糖代谢异常之间的关联：一种基于深度学习的全身磁共振成像人群表型分析方法

期刊:Journal of Cachexia Sarcopenia and Muscle
影响因子:9.1
doi:10.1002/jcsm.13527
Jung, Matthias; Rieder, Hanna; Reisert, Marco; Rospleszcz, Susanne; Nattenmueller, Johanna; Peters, Annette; Schlett, Christopher L; Bamberg, Fabian; Weiss, Jakob
代谢
发表日期：2024
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Deep learning to estimate impaired glucose metabolism from Magnetic Resonance Imaging of the liver: An opportunistic population screening approach

利用深度学习从肝脏磁共振成像中评估葡萄糖代谢异常：一种机会性人群筛查方法

期刊:PLOS Digital Health
影响因子:7.7
doi:10.1371/journal.pdig.0000429
Michel, Lea J; Rospleszcz, Susanne; Reisert, Marco; Rau, Alexander; Nattenmueller, Johanna; Rathmann, Wolfgang; Schlett, Christopher L; Peters, Annette; Bamberg, Fabian; Weiss, Jakob
代谢
发表日期：2024
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CT-based compartmental quantification of adipose tissue versus body metrics in colorectal cancer patients

基于CT的结直肠癌患者脂肪组织与身体指标的区室定量分析

期刊:European Radiology
影响因子:4.7
doi:10.1007/s00330-016-4231-8
Nattenmueller, Johanna; Hoegenauer, Hanna; Boehm, Juergen; Scherer, Dominique; Paskow, Michael; Gigic, Biljana; Schrotz-King, Petra; Grenacher, Lars; Ulrich, Cornelia; Kauczor, Hans-Ulrich
肿瘤
肠癌
肿瘤免疫
发表日期：2016
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