biological tissues; biomedical MRI; brain; independent component analysis; learning (artificial intelligence); medical image processing; minimisation; network analysis; neurophysiology; ICA; MRI data; MRI tissue concentration imaging; NICE matches; axial slices; brain networks; conventional linear mixture; deep independence network analysis; deep learning architecture; mildly nonlinear mixtures; minimization criterion; nonlinear independent component analysis; spatial components; structural brain imaging; structural magnetic resonance imaging data; synthetic 2D imaging; Brain; Couplings; Imaging; Independent component analysis; Jacobian matrices; Machine learning; Mutual information; NICE; Nonlinear ICA; deep learning; simulation; structural MRI;
机译:结构脑成像的深度独立网络分析:在精神分裂症中的应用
机译:利用深卷积神经网络检测和分类结构脑MR图像中的伪影
机译:从脑图像分析到使用功能连接和多峰脑信号研究脑网络。
机译:结构脑成像的深度独立网络分析:仿真研究
机译:使用深神经网络计算高动态范围图像的长期仿真模拟
机译:结构脑成像的深度独立网络分析:在精神分裂症中的应用
机译:用于磁共振脑图像分析的深度卷积神经网络 共振成像:综述