A tutorial on task-parameterized movement learning and retrieval
S Calinon - Intelligent service robotics, 2016 - Springer
Task-parameterized models of movements aim at automatically adapting movements to new
situations encountered by a robot. The task parameters can, for example, take the form of …
situations encountered by a robot. The task parameters can, for example, take the form of …
[HTML][HTML] Probing brain tissue microstructure with MRI: principles, challenges, and the role of multidimensional diffusion-relaxation encoding
Diffusion MRI uses the random displacement of water molecules to sensitize the signal to
brain microstructure and to properties such as the density and shape of cells. Microstructure …
brain microstructure and to properties such as the density and shape of cells. Microstructure …
The B‐matrix must be rotated when correcting for subject motion in DTI data
To estimate diffusion tensor MRI (DTI) measures, such as fractional anisotropy and fiber
orientation, reliably, a large number of diffusion‐encoded images is needed, preferably …
orientation, reliably, a large number of diffusion‐encoded images is needed, preferably …
Log‐Euclidean metrics for fast and simple calculus on diffusion tensors
Diffusion tensor imaging (DT‐MRI or DTI) is an emerging imaging modality whose
importance has been growing considerably. However, the processing of this type of data (ie …
importance has been growing considerably. However, the processing of this type of data (ie …
Riemannian geometry for the statistical analysis of diffusion tensor data
PT Fletcher, S Joshi - Signal Processing, 2007 - Elsevier
The tensors produced by diffusion tensor magnetic resonance imaging (DT-MRI) represent
the covariance in a Brownian motion model of water diffusion. Under this physical …
the covariance in a Brownian motion model of water diffusion. Under this physical …
Principal geodesic analysis on symmetric spaces: Statistics of diffusion tensors
PT Fletcher, S Joshi - International Workshop on Mathematical Methods in …, 2004 - Springer
Diffusion tensor magnetic resonance imaging (DT-MRI) is emerging as an important tool in
medical image analysis of the brain. However, relatively little work has been done on …
medical image analysis of the brain. However, relatively little work has been done on …
A longitudinal diffusion tensor imaging study on Wallerian degeneration of corticospinal tract after motor pathway stroke
Wallerian degeneration of the corticospinal tract (CST) after motor pathway ischemic stroke
can be characterized by diffusion tensor imaging (DTI). However, the dynamic evolution of …
can be characterized by diffusion tensor imaging (DTI). However, the dynamic evolution of …
Statistics on the manifold of multivariate normal distributions: Theory and application to diffusion tensor MRI processing
This paper is dedicated to the statistical analysis of the space of multivariate normal
distributions with an application to the processing of Diffusion Tensor Images (DTI). It relies …
distributions with an application to the processing of Diffusion Tensor Images (DTI). It relies …
Characterizing brain tissue by assessment of the distribution of anisotropic microstructural environments in diffusion‐compartment imaging (DIAMOND)
Purpose To develop a statistical model for the tridimensional diffusion MRI signal at each
voxel that describes the signal arising from each tissue compartment in each voxel. Theory …
voxel that describes the signal arising from each tissue compartment in each voxel. Theory …
[图书][B] Handbook of neuroimaging data analysis
This book explores various state-of-the-art aspects behind the statistical analysis of
neuroimaging data. It examines the development of novel statistical approaches to model …
neuroimaging data. It examines the development of novel statistical approaches to model …