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

Computed Tomography-Image-Based Glioma Grading Using Radiomics and Machine Learning: A Proof-of-Principle Study

基于计算机断层扫描图像的胶质瘤分级：利用放射组学和机器学习进行原理验证研究

期刊:Cancers
影响因子:4.4
doi:10.3390/cancers17020322
Bilgin, Melike; Bilgin, Sabriye Sennur; Akkurt, Burak Han; Heindel, Walter; Mannil, Manoj; Musigmann, Manfred
胶质瘤
发表日期：2025
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Detection of antibodies in suspected autoimmune encephalitis diseases using machine learning

利用机器学习检测疑似自身免疫性脑炎疾病中的抗体

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-95815-z
Musigmann, Manfred; Spiekers, Christine; Stake, Jacob; Akkurt, Burak Han; Mora, Nabila Gala Nacul; Sartoretti, Thomas; Heindel, Walter; Mannil, Manoj
脑炎
神经科学
免疫/内分泌
发表日期：2025
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Perimesencephalic Subarachnoid Hemorrhage Is Not Always a Benign Condition: Hemorrhage Volume as a Predictor for Complications and Clinical Outcome

脑桥周围蛛网膜下腔出血并非总是良性疾病：出血量可预测并发症和临床结局

期刊:Biomedicines
影响因子:3.9
doi:10.3390/biomedicines13051061
Hoffmann, Emily; Bùi, Công Duy; Valls Chavarria, Alexandra; Müther, Michael; Holling, Markus; Musigmann, Manfred; Masthoff, Max; Ergawy, Mostafa; Faizy, Tobias D; Stracke, Christian Paul; Krähling, Hermann; Akkurt, Burak Han
神经科学
发表日期：2025
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Perimesencephalic Subarachnoid Hemorrhage Bleeding Patterns Are Not Always Benign: Prognostic Impact of an Aneurysmal Pathology

脑桥周围蛛网膜下腔出血的出血模式并非总是良性的：动脉瘤病理的预后影响

期刊:Biomedicines
影响因子:3.9
doi:10.3390/biomedicines13061444
Hoffmann, Emily; Bui, Công Dùy; Ventura, David; Musigmann, Manfred; Valls Chavarria, Alexandra; Holling, Markus; Yedavalli, Vivek S; Heit, Jeremy J; Stracke, Christian Paul; Faizy, Tobias D; Krähling, Hermann; Akkurt, Burak Han
心血管
神经科学
动脉瘤
发表日期：2025
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Rescue Procedure in a Rare Case of Iatrogenic Vertebral Artery Puncture and Review of the Literature

医源性椎动脉穿刺罕见病例的抢救措施及文献回顾

期刊:Journal of Clinical Medicine
影响因子:2.9
doi:10.3390/jcm14196945
Brandt, Jonas; Musigmann, Manfred; Akkurt, Burak Han; Köhler, Michael; Krähling, Hermann
发表日期：2025
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Comparison of MRI Sequences to Predict IDH Mutation Status in Gliomas Using Radiomics-Based Machine Learning

利用基于放射组学的机器学习方法比较MRI序列以预测胶质瘤中IDH突变状态

期刊:Biomedicines
影响因子:3.9
doi:10.3390/biomedicines12040725
Kasap, Dilek N G; Mora, Nabila Gala Nacul; Blömer, David A; Akkurt, Burak Han; Heindel, Walter Leonhard; Mannil, Manoj; Musigmann, Manfred
胶质瘤
发表日期：2024
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Prediction of Seropositivity in Suspected Autoimmune Encephalitis by Use of Radiomics: A Radiological Proof-of-Concept Study

利用放射组学预测疑似自身免疫性脑炎患者的血清阳性率：一项放射学概念验证研究

期刊:Diagnostics
影响因子:3.3
doi:10.3390/diagnostics14111070
Stake, Jacob; Spiekers, Christine; Akkurt, Burak Han; Heindel, Walter; Brix, Tobias; Mannil, Manoj; Musigmann, Manfred
脑炎
神经科学
免疫/内分泌
发表日期：2024
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Pseudoprogression prediction in high grade primary CNS tumors by use of radiomics

利用放射组学预测高级别原发性中枢神经系统肿瘤的假性进展

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-022-09945-9
Ari, Asena Petek; Akkurt, Burak Han; Musigmann, Manfred; Mammadov, Orkhan; Blömer, David A; Kasap, Dilek N G; Henssen, Dylan J H A; Nacul, Nabila Gala; Sartoretti, Elisabeth; Sartoretti, Thomas; Backhaus, Philipp; Thomas, Christian; Stummer, Walter; Heindel, Walter; Mannil, Manoj
肿瘤
肿瘤免疫
神经科学
发表日期：2022
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Assessing preoperative risk of STR in skull meningiomas using MR radiomics and machine learning

利用磁共振放射组学和机器学习评估颅脑膜瘤术前发生次全层切除术的风险

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-022-18458-4
Musigmann, Manfred; Akkurt, Burak Han; Krähling, Hermann; Brokinkel, Benjamin; Henssen, Dylan J H A; Sartoretti, Thomas; Nacul, Nabila Gala; Stummer, Walter; Heindel, Walter; Mannil, Manoj
神经科学
发表日期：2022
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Testing the applicability and performance of Auto ML for potential applications in diagnostic neuroradiology

测试 Auto ML 在诊断神经放射学潜在应用中的适用性和性能

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-022-18028-8
Musigmann, Manfred; Akkurt, Burak Han; Krähling, Hermann; Nacul, Nabila Gala; Remonda, Luca; Sartoretti, Thomas; Henssen, Dylan; Brokinkel, Benjamin; Stummer, Walter; Heindel, Walter; Mannil, Manoj
发表日期：2022
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