School of Automation, Northwestern Polytechnical University, Xi'an, China ,Department of Systems Medicine and Bioengineering, The Methodist Hospital Research Institute, Weill Cornell Medical College, Houston, TX;
School of Automation, Northwestern Polytechnical University, Xi'an, China;
Department of Systems Medicine and Bioengineering, The Methodist Hospital Research Institute, Weill Cornell Medical College, Houston, TX;
Department of Diagnostic Radiology, MD Anderson Cancer Center, Houston, TX;
Department of Systems Medicine and Bioengineering, The Methodist Hospital Research Institute, Weill Cornell Medical College, Houston, TX;
Department of Systems Medicine and Bioengineering, The Methodist Hospital Research Institute, Weill Cornell Medical College, Houston, TX;
GBM; superpixel; spectral clustering; multimodal MR images;
机译:基于多峰成像的预后模型构建框架:多形性胶质母细胞瘤中多峰MRI的初步研究
机译:MR图像对胶质母细胞瘤的分割–全面综述
机译:强大的纹理特征,用于在T1加权和T2-FLAIR MR图像上监测多形性胶质母细胞瘤的反应:在识别和分割方面的初步研究。
机译:基于Superpixel的胶质母细胞瘤多形态的分割来自多模式MR图像
机译:磁共振成像用于多形性胶质母细胞瘤(GBM)脑瘤的计算机辅助分割和早期治疗反应分类(CADrx)
机译:基于超像素的3D前列腺MR图像分割
机译:基于多峰成像的预后模型构建框架:多形性胶质母细胞瘤中多峰MRI的初步研究