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

Medical large language models are susceptible to targeted misinformation attacks

医学大型语言模型容易受到有针对性的虚假信息攻击

期刊:npj Digital Medicine
影响因子:15.1
doi:10.1038/s41746-024-01282-7
Han, Tianyu; Nebelung, Sven; Khader, Firas; Wang, Tianci; Müller-Franzes, Gustav; Kuhl, Christiane; Försch, Sebastian; Kleesiek, Jens; Haarburger, Christoph; Bressem, Keno K; Kather, Jakob Nikolas; Truhn, Daniel
发表日期：2024
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Interviewer biases in medical survey data: The example of blood pressure measurements

医疗调查数据中的访谈者偏差：以血压测量为例

期刊:PNAS Nexus
影响因子:3.8
doi:10.1093/pnasnexus/pgae109
Geldsetzer, Pascal; Chang, Andrew Young; Meijer, Erik; Sudharsanan, Nikkil; Charu, Vivek; Kramlinger, Peter; Haarburger, Richard
发表日期：2024
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Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data

用于重症监护中多模式生存预测的医学转换器：影像数据和非影像数据的整合

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-023-37835-1
Khader, Firas; Kather, Jakob Nikolas; Müller-Franzes, Gustav; Wang, Tianci; Han, Tianyu; Tayebi Arasteh, Soroosh; Hamesch, Karim; Bressem, Keno; Haarburger, Christoph; Stegmaier, Johannes; Kuhl, Christiane; Nebelung, Sven; Truhn, Daniel
发表日期：2023
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A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis

潜在去噪扩散概率模型与生成对抗网络在医学图像合成中的多模态比较

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-023-39278-0
Müller-Franzes, Gustav; Niehues, Jan Moritz; Khader, Firas; Arasteh, Soroosh Tayebi; Haarburger, Christoph; Kuhl, Christiane; Wang, Tianci; Han, Tianyu; Nolte, Teresa; Nebelung, Sven; Kather, Jakob Nikolas; Truhn, Daniel
发表日期：2023
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Denoising diffusion probabilistic models for 3D medical image generation

用于三维医学图像生成的去噪扩散概率模型

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-023-34341-2
Khader, Firas; Müller-Franzes, Gustav; Tayebi Arasteh, Soroosh; Han, Tianyu; Haarburger, Christoph; Schulze-Hagen, Maximilian; Schad, Philipp; Engelhardt, Sandy; Baeßler, Bettina; Foersch, Sebastian; Stegmaier, Johannes; Kuhl, Christiane; Nebelung, Sven; Kather, Jakob Nikolas; Truhn, Daniel
发表日期：2023
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Reliability as a Precondition for Trust-Segmentation Reliability Analysis of Radiomic Features Improves Survival Prediction

可靠性作为信任分割的前提条件：放射组学特征的可靠性分析可提高生存预测能力

期刊:Diagnostics
影响因子:3.3
doi:10.3390/diagnostics12020247
Müller-Franzes, Gustav; Nebelung, Sven; Schock, Justus; Haarburger, Christoph; Khader, Firas; Pedersoli, Federico; Schulze-Hagen, Maximilian; Kuhl, Christiane; Truhn, Daniel
发表日期：2022
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Breaking medical data sharing boundaries by using synthesized radiographs

利用合成X光片打破医疗数据共享的界限

期刊:Science Advances
影响因子:12.5
doi:10.1126/sciadv.abb7973
Han, Tianyu; Nebelung, Sven; Haarburger, Christoph; Horst, Nicolas; Reinartz, Sebastian; Merhof, Dorit; Kiessling, Fabian; Schulz, Volkmar; Truhn, Daniel
发表日期：2020
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Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach

基于多期CT的Child-Pugh分级预测：一种机器学习方法

期刊:European Radiology Experimental
影响因子:3.6
doi:10.1186/s41747-020-00148-3
Thüring, Johannes; Rippel, Oliver; Haarburger, Christoph; Merhof, Dorit; Schad, Philipp; Bruners, Philipp; Kuhl, Christiane K; Truhn, Daniel
发表日期：2020
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