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Konstantin Nikolaou

Eberhard Karls University of Tübingen
H指数:77
被引数:2.8万

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Age- and BMI-Dependent Psoas and Gluteus Muscle Mass in 27,805 Participants of the Population-Based German National Cohort (NAKO Gesundheitsstudie): A Deep-Learning 3T MRI Study

年龄和BMI依赖的髂腰肌和臀肌质量:基于德国国家人群队列(NAKO Gesundheitsstudie)27,805名参与者的深度学习3T MRI研究

2026-03-040
OAAI
AI medical device post-market surveillance regulations: consensus recommendations by the European Society of Radiology

人工智能医疗器械上市后监管法规:欧洲放射学会的共识建议

2025-12-120
OAAI
Diagnostic performance of non-contrast quiescent-interval slice-selective (QISS) magnetic resonance angiography for evaluation of the renal arterial vasculature compared to computed tomography angiography (CTA) as reference standard

非对比剂静息期片选(QISS)磁共振血管成像对肾动脉血管评估的诊断性能,并与以计算机断层扫描血管成像(CTA)作为参考标准进行比较

2025-11-010
OA
Geriatric radiology: a call to action for a new approach to diagnostic imaging for elderly and frail patients

老年放射学:对为老年及虚弱患者实施诊断成像新方法的行动呼吁

2025-02-150
PRE
Guiding AI in radiology: ESR's recommendations for effective implementation of the European AI Act

指导放射学中的AI: ESR对有效实施欧洲AI法案的建议

2025-02-130
OAAI
Coronary artery disease detection using deep learning and ultrahigh-resolution photon-counting coronary CT angiography

使用深度学习和超高分辨率光子计数冠状动脉CT血管造影术检测冠状动脉疾病

2025-02-013
OAAI