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Multiple-response regression analysis links magnetic resonance imaging features to de-regulated protein expression and pathway activity in lower grade glioma

机译：多响应回归分析将磁共振成像特征链接到较低级胶质瘤中的监管蛋白表达和途径活性

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Michael Lehrer; Arvind Rao; Anindya Bhadra; Visweswaran Ravikumar; James Y. Chen; Max Wintermark; Scott N. Hwang; Chad A. Holder; Erich P. Huang; Brenda Fevrier-Sullivan; John B. Freymann;
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1. The Value of 5-Aminolevulinic Acid in Low-grade Gliomas and High-grade Gliomas Lacking Glioblastoma Imaging Features: An Analysis Based on Fluorescence, Magnetic Resonance Imaging, 18F-Fluoroethyl Tyrosine Positron Emission Tomography, and Tumor Molecular Factors [J] . Jaber Mohammed, W??lfer Johannes, Ewelt Christian, Clinical neurosurgery. . 2016,第3期

机译：5-氨基乙酰丙酸在低级胶质瘤和缺乏胶质母细胞瘤成像特征的高级胶质瘤中的价值：基于荧光，磁共振成像，18F-氟乙基酪氨酸正电子发射断层扫描和肿瘤分子因素的分析
2. The Value of 5-Aminolevulinic Acid in Low-grade Gliomas and High-grade Gliomas Lacking Glioblastoma Imaging Features: An Analysis Based on Fluorescence, Magnetic Resonance Imaging, 18F-Fluoroethyl Tyrosine Positron Emission Tomography, and Tumor Molecular Factors [J] . Jaber Mohammed, W??lfer Johannes, Ewelt Christian, Clinical neurosurgery. . 2016,第3期

机译：5-氨基乙酰丙酸在低级胶质瘤和缺乏胶质母细胞瘤成像特征的高级胶质瘤中的价值：基于荧光，磁共振成像，18F-氟乙基酪氨酸正电子发射断层扫描和肿瘤分子因素的分析
3. The Value of 5-Aminolevulinic Acid in Low-grade Gliomas and High-grade Gliomas Lacking Glioblastoma Imaging Features: An Analysis Based on Fluorescence, Magnetic Resonance Imaging, F-18-Fluoroethyl Tyrosine Positron Emission Tomography, and Tumor Molecular Factors COMMENT [J] . Sanai Nader Neurosurgery . 2016,第3期

机译：5-氨基乙酰丙酸在低级胶质瘤和缺乏胶质母细胞瘤成像特征的高级胶质瘤中的价值：基于荧光，磁共振成像，F-18-氟乙基酪氨酸正电子发射断层扫描和肿瘤分子因素的分析
4. Automatic Classification and Segmentation of Low-Grade Gliomas in Magnetic Resonance Imaging [C] . Marta Barbosa, Pedro Moreira, Rogério Ribeiro, International Conference on Soft Computing and Pattern Recognition . 2020

机译：磁共振成像中低级胶质瘤的自动分类及分割
5. Implementation of parallel imaging techniques for lipid unaliasing and faster acquisition for improving spatial characterization of magnetic resonance spectroscopic imaging of gliomas. [D] . Ozturk Isik, Esin. 2007

机译：实现脂质去混叠和更快采集的并行成像技术，以改善神经胶质瘤磁共振波谱成像的空间特征。
6. Multiple-response regression analysis links magnetic resonance imaging features to de-regulated protein expression and pathway activity in lower grade glioma [O] . Michael Lehrer, Anindya Bhadra, Visweswaran Ravikumar, 2017

机译：多响应回归分析将磁共振成像特征与低级神经胶质瘤中蛋白表达失调和通路活性联系起来
7. Multi-modal magnetic resonance imaging-based grading analysis for gliomas by integrating radiomics and deep features [O] . Zhenyuan Ning, Jiaxiu Luo, Qing Xiao, 2021

机译：基于多模态磁共振成像的基于胶质瘤的聚类分析，通过整合射线学和深度特征

Multiple-response regression analysis links magnetic resonance imaging features to de-regulated protein expression and pathway activity in lower grade glioma

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