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

Evaluation of two AI techniques for the detection of new T2/FLAIR lesions in the follow-up of multiple sclerosis patients

评估两种人工智能技术在多发性硬化症患者随访中检测新发T2/FLAIR病灶的效果

期刊:Frontiers in Neurology
影响因子:2.8
doi:10.3389/fneur.2025.1678073
Mastilović, Milica; Heinzlef, Olivier; Federau, Christian; Muñoz-Ramírez, Verónica; Blanchere, Marie; Boban, Jasmina; Cotton, Francois; Edjlali, Myriam
神经科学
多发性硬化症
发表日期：2025
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Random expert sampling for deep learning segmentation of acute ischemic stroke on non-contrast CT

基于深度学习的急性缺血性卒中非增强CT图像分割随机专家抽样

期刊:Journal of Neurointerventional Surgery
影响因子:4.3
doi:10.1136/jnis-2023-021283
Ostmeier, Sophie; Axelrod, Brian; Liu, Yongkai; Yu, Yannan; Jiang, Bin; Yuen, Nicole; Pulli, Benjamin; Verhaaren, Benjamin F J; Kaka, Hussam; Wintermark, Max; Michel, Patrik; Mahammedi, Abdelkader; Federau, Christian; Lansberg, Maarten G; Albers, Gregory W; Moseley, Michael E; Zaharchuk, Gregory; Heit, Jeremy J
发表日期：2024
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Evaluation of the quality and the productivity of neuroradiological reading of multiple sclerosis follow-up MRI scans using an intelligent automation software

利用智能自动化软件评估多发性硬化症随访MRI扫描的神经放射学读片质量和效率

期刊:Neuroradiology
影响因子:2.6
doi:10.1007/s00234-024-03293-3
Federau, Christian; Hainc, Nicolin; Edjlali, Myriam; Zhu, Guangming; Mastilovic, Milica; Nierobisch, Nathalie; Uhlemann, Jan-Philipp; Paganucci, Silvio; Granziera, Cristina; Heinzlef, Olivier; Kipp, Lucas B; Wintermark, Max
神经科学
多发性硬化症
发表日期：2024
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Deep Learning for Detecting Brain Metastases on MRI: A Systematic Review and Meta-Analysis

基于深度学习的MRI脑转移瘤检测：系统评价和荟萃分析

期刊:Cancers
影响因子:4.4
doi:10.3390/cancers15020334
Ozkara, Burak B; Chen, Melissa M; Federau, Christian; Karabacak, Mert; Briere, Tina M; Li, Jing; Wintermark, Max
神经科学
发表日期：2023
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Artificial intelligence tools in clinical neuroradiology: essential medico-legal aspects

人工智能工具在临床神经放射学中的应用：重要的医疗法律方面

期刊:Neuroradiology
影响因子:2.6
doi:10.1007/s00234-023-03152-7
Hedderich, Dennis M; Weisstanner, Christian; Van Cauter, Sofie; Federau, Christian; Edjlali, Myriam; Radbruch, Alexander; Gerke, Sara; Haller, Sven
发表日期：2023
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Optimizing Deep Learning Algorithms for Segmentation of Acute Infarcts on Non-Contrast Material-enhanced CT Scans of the Brain Using Simulated Lesions

利用模拟病灶优化深度学习算法，以分割非增强CT扫描脑部急性梗死灶

期刊:Radiology-Artificial Intelligence
影响因子:13.2
doi:10.1148/ryai.2021200127
Christensen, Søren; Mlynash, Michael; MacLaren, Julian; Federau, Christian; Albers, Gregory W; Lansberg, Maarten G
神经科学
发表日期：2021
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Infarct Growth despite Successful Endovascular Reperfusion in Acute Ischemic Stroke: A Meta-analysis

急性缺血性卒中血管内再灌注成功后梗死灶仍扩大：一项荟萃分析

期刊:American Journal of Neuroradiology
影响因子:3.7
doi:10.3174/ajnr.A7177
Bala, F; Ospel, J; Mulpur, B; Kim, B J; Yoo, J; Menon, B K; Goyal, M; Federau, C; Sohn, S-I; Hussain, M S; Almekhlafi, M A
发表日期：2021
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Effect of Sex on Clinical Outcome and Imaging after Endovascular Treatment of Large-Vessel Ischemic Stroke

性别对大血管缺血性卒中血管内治疗后临床结果和影像学的影响

期刊:Journal of Stroke & Cerebrovascular Diseases
影响因子:1.8
doi:10.1016/j.jstrokecerebrovasdis.2020.105468
Demeestere, Jelle; Christensen, Sören; Mlynash, Michael; Federau, Christian; Albers, Gregory W; Lemmens, Robin; Lansberg, Maarten G
发表日期：2021
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Improved Segmentation and Detection Sensitivity of Diffusion-weighted Stroke Lesions with Synthetically Enhanced Deep Learning

利用合成增强型深度学习提高扩散加权卒中病灶的分割和检测灵敏度

期刊:Radiology-Artificial Intelligence
影响因子:13.2
doi:10.1148/ryai.2020190217
Federau, Christian; Christensen, Soren; Scherrer, Nino; Ospel, Johanna M; Schulze-Zachau, Victor; Schmidt, Noemi; Breit, Hanns-Christian; Maclaren, Julian; Lansberg, Maarten; Kozerke, Sebastian
发表日期：2020
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Spatial Resolution and the Magnitude of Infarct Volume Measurement Error in DWI in Acute Ischemic Stroke

急性缺血性卒中弥散加权成像的空间分辨率与梗死体积测量误差幅度

期刊:American Journal of Neuroradiology
影响因子:3.7
doi:10.3174/ajnr.A6520
Ospel, J M; Jaffray, A; Schulze-Zachau, V; Kozerke, S; Federau, C
发表日期：2020
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