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

Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications

医学深度学习中的差分隐私：方法、权衡和部署意义

期刊:npj Digital Medicine
影响因子:15.1
doi:10.1038/s41746-025-02280-z
Mohammadi, Marziyeh; Vejdanihemmat, Mohsen; Lotfinia, Mahshad; Rusu, Mirabela; Truhn, Daniel; Maier, Andreas; Tayebi Arasteh, Soroosh
发表日期：2026
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A comprehensive bedside chest radiography dataset with structured, itemized and graded radiologic reports

包含结构化、分类和分级放射学报告的综合性床旁胸部X线摄影数据集

期刊:Scientific Data
影响因子:6.9
doi:10.1038/s41597-026-07271-7
Truhn, Daniel; Geiger, Daniel; Siepmann, Robert; von der Stück, Marc Sebastian; Bressem, Keno Kyrill; Kather, Jakob Nikolas; Kuhl, Christiane; Müller-Franzes, Gustav; Nebelung, Sven
发表日期：2026
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Comprehensive deep learning-assisted multi-condition analysis of knee MRI studies improves resident radiologist performance

利用深度学习辅助对膝关节MRI研究进行全面的多条件分析，可提高住院放射科医生的诊疗水平。

期刊:European Radiology
影响因子:4.7
doi:10.1007/s00330-025-12052-8
Vuskov, Roman; Hermans, Alexander; Pixberg, Martin; Müller-Hübenthal, Jonas; Brauksiepe, Andreas; Corban, Eric; Cubukcu, Malin; Nowak, Julia; Kargaliev, Aleksandar; von der Stück, Marc; Siepmann, Robert; Kuhl, Christiane; Truhn, Daniel; Nebelung, Sven
发表日期：2026
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Large language model-based uncertainty-adjusted label extraction for artificial intelligence model development in upper extremity radiography

基于大型语言模型的不确定性调整标签提取方法，用于上肢放射成像人工智能模型开发

期刊:European Radiology
影响因子:4.7
doi:10.1007/s00330-025-12102-1
Kreutzer, Hanna; Caselitz, Anne-Sophie; Dratsch, Thomas; Pinto Dos Santos, Daniel; Kuhl, Christiane; Truhn, Daniel; Nebelung, Sven
发表日期：2026
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Patients' views on the use of artificial intelligence in healthcare: Artificial Intelligence Survey Aachen (AISA)-a prospective survey

患者对人工智能在医疗保健领域应用的看法：亚琛人工智能调查（AISA）——一项前瞻性调查

期刊:Insights into Imaging
影响因子:4.5
doi:10.1186/s13244-025-02159-3
Baldus, Sophie G; Wiesmann, Martin; Habel, Ute; Gerhards, Anna; Hasan, Dimah; Weyland, Charlotte S; Truhn, Daniel; Hasl, Marian M; Clemens, Benjamin; Nikoubashman, Omid
发表日期：2026
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MedicalPatchNet: a patch-based self-explainable AI architecture for chest X-ray classification

MedicalPatchNet：一种基于补丁的自解释型AI架构，用于胸部X光片分类

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-026-40358-0
Wienholt, Patrick; Kuhl, Christiane; Kather, Jakob Nikolas; Nebelung, Sven; Truhn, Daniel
发表日期：2026
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Low-Dose CT Quality Assurance at Scale: Automated Detection of Overscanning, Underscanning, and Image Noise

低剂量CT大规模质量保证：自动检测过扫描、欠扫描和图像噪声

期刊:Life-Basel
影响因子:3.4
doi:10.3390/life16010152
Wienholt, Patrick; Hermans, Alexander; Siepmann, Robert; Kuhl, Christiane; Pinto Dos Santos, Daniel; Nebelung, Sven; Truhn, Daniel
发表日期：2026
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Visual Large Language Models in Radiology: A Systematic Multimodel Evaluation of Diagnostic Accuracy and Hallucinations

放射学中的视觉大型语言模型：诊断准确性和幻觉的系统性多模型评估

期刊:Life-Basel
影响因子:3.4
doi:10.3390/life16010066
von der Stück, Marc Sebastian; Vuskov, Roman; Westfechtel, Simon; Siepmann, Robert; Kuhl, Christiane; Truhn, Daniel; Nebelung, Sven
发表日期：2026
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Reducing manual workload in CT and MRI annotation with the Segment Anything Model 2

利用 Segment Anything 模型 2 减少 CT 和 MRI 标注中的人工工作量

期刊:BMC Medical Imaging
影响因子:3.2
doi:10.1186/s12880-025-02075-4
Misera, Leo; Nebelung, Sven; Carrero, Zunamys I; Bressem, Keno; Ligero, Marta; Kühn, Jens-Peter; Hoffmann, Ralf-Thorsten; Truhn, Daniel; Kather, Jakob Nikolas
发表日期：2026
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Privacy-Preserving Generation of Structured Lymphoma Progression Reports from Cross-sectional Imaging: A Comparative Analysis of Llama 3.3 and Llama 4

基于横断面影像生成结构化淋巴瘤进展报告的隐私保护方法：Llama 3.3 和 Llama 4 的比较分析

期刊:
影响因子:
doi:10.1007/s10278-025-01618-z
Prucker, Philipp; Bressem, Keno K; Kim, Su Hwan; Weller, Dominik; Kader, Avan; Dorfner, Felix J; Ziegelmayer, Sebastian; Graf, Markus M; Lemke, Tristan; Gassert, Florian; Can, Elif; Meddeb, Aymen; Truhn, Daniel; Hadamitzky, Martin; Makowski, Marcus R; Adams, Lisa C; Busch, Felix
淋巴瘤
发表日期：2026
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