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Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis

机译：基于辐射瘤分析，使用对比度增强的T1加权和T2加权磁共振图像预测恶性胶质瘤等级

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Takahiro Nakamoto; Wataru Takahashi; Akihiro Haga; Satoshi Takahashi; Shigeru Kiryu; Kanabu Nawa; Takeshi Ohta; Sho Ozaki; Yuki Nozawa; Shota Tanaka; Akitake Mukasa; Keiichi Nakagawa;
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1. Publisher Correction: Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis [J] . Takahiro Nakamoto, Wataru Takahashi, Akihiro Haga, Scientific reports. . 2020,第1期

机译：出版商校正：使用基于射系分析的对比度增强的T1加权和T2加权磁共振图像预测恶性胶质瘤等级
2. Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis [J] . Takahiro Nakamoto, Wataru Takahashi, Akihiro Haga, Scientific reports. . 2019,第1期

机译：基于辐射瘤分析，使用对比度增强的T1加权和T2加权磁共振图像预测恶性胶质瘤等级
3. Radiomics-Based Prediction of Malignant Glioma Grades Using T2-Weighted Magnetic Resonance Images [J] . Nakamoto T., Takahashi W., Haga A., Medical Physics . 2018,第6期

机译：基于辐射瘤的恶性胶质瘤等级预测使用T2加权磁共振图像
4. Statistical Analysis of Brain Volume Changes in T1-Weighted Magnetic Resonance Images of Attention Deficit hyperactivity Disorder (ADHD) Based on Voxel-Based Morphometry [C] . Mozhdeh Haddadpour, Fabrice Wallois, Mahdi Saadatmand Iranian Joint Congress on Fuzzy and Intelligent Systems . 2020

机译：基于体素的形态计量学的注意缺陷多动障碍（ADHD）的T1加权磁共振图像中脑容量变化的统计分析
5. Applications of proton magnetic resonance spectroscopic imaging in radiation therapy of malignant glioma. [D] . Graves, Edward Elliot. 2001

机译：质子磁共振波谱成像在恶性神经胶质瘤放射治疗中的应用。
6. Differentiation of Pelvic Osteosarcoma and Ewing Sarcoma Using Radiomic Analysis Based on T2-Weighted Images and Contrast-Enhanced T1-Weighted Images [O] . Yi Dai, Ping Yin, Ning Mao, 2020

机译：基于T2加权图像和对比增强的T1加权图像的放射学分析区分骨盆骨肉瘤和尤文氏肉瘤
7. Integration of dynamic contrast-enhanced magnetic resonance imaging and T2-weighted imaging radiomic features by a canonical correlation analysis-based feature fusion method to predict histological grade in ductal breast carcinoma [O] . Ming Fan, Zuhui Liu, Sudan Xie, 2019

机译：基于规范相关分析的特征融合方法的动态对比度增强磁共振成像和T2加权成像辐射学特征的整合，以预测导管乳腺癌中的组织学等级

Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis

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