Titlebook: Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data; Carl-Fredrik Westin,Anna Vilanova,Bernhard Bur

dapper

Kernel-Based Morphometry of Diffusion Tensor Imageshe population is unknown and could be non-linear, further complicating the group-based statistical analysis. This chapter gives a perspective on performing voxel-wise morphometry of tensor data using kernel-based approach. The method is referred as Kernel-based morphometry (KBM) as it models the ten

單調(diào)性

myelography

Conference proceedings 2014ghted MRI..Part III, Higher Order Tensors and Riemannian-Finsler Geometry, offers powerful mathematical language to model and analyze large and complex diffusion data such as High Angular Resolution Diffusion Imaging (HARDI) and Diffusion Kurtosis Imaging (DKI)..A Part entitled Tensor Signal Process

結(jié)構(gòu)

Flustered

Confound

Madhura Ingalhalikar,Parmeshwar Khurd,Ragini Verma

處理

Ofer Pasternak,Klaus Maier-Hein,Christian Baumgartner,Martha E. Shenton,Yogesh Rathi,Carl-Fredrik We

Culmination

lipids

COLON