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Advanced Analysis of Diffusion Tensor Imaging Along With Machine Learning Provides New Sensitive Measures of Tissue Pathology and Intra-Lesion Activity in Multiple Sclerosis

机译：扩散张量成像的高级分析以及机器学习提供了多发性硬化症组织病理学和病变内活性的新敏感措施

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Olayinka Oladosu; Wei-Qiao Liu; Bruce G. Pike; Marcus Koch; Luanne M. Metz; Yunyan Zhang;
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1. Effect of teriflunomide on gray and white matter brain pathology in multiple sclerosis using volumetric and diffusion-tensor imaging MRI measures [J] . Zivadinov Robert, Bergsland Niels, Hagemeier Jesper, Journal of the Neurological Sciences: Official Bulletin of the World Federation of Neurology . 2018,第期

机译：三氟化葡聚糖对多发性硬化中灰白质脑病理的影响使用体积和扩散张测张量措施
2. Cell-oriented analysis in vivo using diffusion tensor imaging for normal-appearing brain tissue in multiple sclerosis. [J] . Terajima K, Matsuzawa H, Tanaka K, NeuroImage . 2007,第4期

机译：使用扩散张量成像对多发性硬化症中正常出现的脑组织进行体内细胞定向分析。
3. Vrenken H, Pouwels PJW, Geurts JJG, et al. Altered diffusion tensor in multiple sclerosis normal-appearing brain tissue: Cortical diffusion changes seem related to clinical deterioration. J Magn Reson Imaging 2006;23:628-636. [J] . Journal of magnetic resonance imaging: JMRI . 2008,第5期

机译：Vrenken H，Pouwels PJW，Geurts JJG等。多发性硬化症正常出现的脑组织中弥散张量的改变：皮质弥散改变似乎与临床恶化有关。 J Magn Reson Imaging 2006; 23：628-636。
4. Comparison of Diffusion Tensor Imaging and Texture Analysis Findings on Classification of Multiple Sclerosis Patients [C] . S. Savio, U. Hakulinen, P. Ryymin European Conference of the International Federation for Medical and Biological Engineering . 2013

机译：扩散张量成像和纹理分析结果对多发性硬化症患者分类的比较
5. An investigation of early relapsing-remitting multiple sclerosis patients using diffusion tensor imaging and spectroscopy. [D] . Zaini, Wan Hazlin. 2013

机译：使用扩散张量成像和光谱法对早期复发缓解型多发性硬化症患者进行调查。
6. Advanced Analysis of Diffusion Tensor Imaging Along With Machine Learning Provides New Sensitive Measures of Tissue Pathology and Intra-Lesion Activity in Multiple Sclerosis [O] . Olayinka Oladosu, Wei-Qiao Liu, Bruce G. Pike, 2021

机译：扩散张量成像的高级分析以及机器学习提供了多发性硬化症组织病理学和病变内活性的新敏感措施
7. A Sensitive and Automatic White Matter Fiber Tracts Model for Longitudinal Analysis of Diffusion Tensor Images in Multiple Sclerosis. [O] . Claudio Stamile, Gabriel Kocevar, François Cotton, 2016

机译：敏感和自动白质纤维束模型用于纵向分析多发性硬化症中的弥散张量图像。

Advanced Analysis of Diffusion Tensor Imaging Along With Machine Learning Provides New Sensitive Measures of Tissue Pathology and Intra-Lesion Activity in Multiple Sclerosis

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