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

Predicting 1p/19q Codeletion Status in Glioma Using MRI-Derived Radiomics: A Systematic Review and Meta-Analysis of Diagnostic Accuracy

利用MRI衍生放射组学预测胶质瘤中1p/19q共缺失状态：诊断准确性的系统评价和荟萃分析

期刊:American Journal of Neuroradiology
影响因子:3.7
doi:10.3174/ajnr.A8771
Ahmadzadeh, Amir Mahmoud; Lomer, Nima Broomand; Ashoobi, Mohammad Amin; Elyassirad, Danial; Gheiji, Benyamin; Vatanparast, Mahsa; Jalalian, Seyed Ali; Arab, Mehdi; Seilanian Toosi, Farrokh; Bathla, Girish; Faghani, Shahriar
胶质瘤
发表日期：2025
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CONSeg: Voxelwise Uncertainty Quantification for Glioma Segmentation Using Conformal Prediction

CONSeg：基于保角预测的胶质瘤分割体素级不确定性量化

期刊:American Journal of Neuroradiology
影响因子:3.7
doi:10.3174/ajnr.A8914
Elyassirad, Danial; Gheiji, Benyamin; Vatanparast, Mahsa; Ahmadzadeh, Amir Mahmoud; Faghani, Shahriar
胶质瘤
发表日期：2025
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Improving radiomics-based isocitrate dehydrogenase 1 prediction in glioma patients using semi-supervised machine learning models

利用半监督机器学习模型改进基于放射组学的胶质瘤患者异柠檬酸脱氢酶1预测

期刊:BMC Medical Imaging
影响因子:3.2
doi:10.1186/s12880-025-02040-1
Ahmadzadeh, Amir Mahmoud; Jafarnezhad, Amirhossein; Elyassirad, Danial; Vatanparast, Mahsa; Gheiji, Benyamin; Faghani, Shahriar
胶质瘤
发表日期：2025
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Predicting Epidural Hematoma Expansion in Traumatic Brain Injury: A Machine Learning Approach

预测创伤性脑损伤中硬膜外血肿的扩大：一种机器学习方法

期刊:Neuroradiology Journal
影响因子:0.8
doi:10.1177/19714009241303052
Hasanpour, Mohammad; Elyassirad, Danial; Gheiji, Benyamin; Vatanparast, Mahsa; Keykhosravi, Ehsan; Shafiei, Mehdi; Daneshkhah, Shirin; Fayyazi, Arya; Faghani, Shahriar
神经科学
发表日期：2025
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