Titlebook: Computational Diffusion MRI; 12th International W Suheyla Cetin-Karayumak,Daan Christiaens,Tomasz Pi Conference proceedings 2021 Springer N

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Bundle Geodesic Convolutional Neural Network for DWI Segmentation from?Single Scan Learninglassifier is based on a Riemannian Deep Learning framework for extracting features with rotational invariance, where we extend a G-CNN learning architecture generically on a Riemannian manifold. We validate our framework using single-shell DWI data with a very limited amount of training data - only

密碼

辯論

Accelerating Geometry-Based Spherical Harmonics Glyphs Rendering for dMRI Using Modern OpenGLgh Angular Resolution Diffusion Imaging acquisitions, it is possible to reconstruct fiber orientation distribution functions (fODF) describing the apparent quantity of white matter fibers going through a voxel for some arbitrary direction. Because these fODF are signals on the sphere, they are usual

啜泣

遠(yuǎn)足

amyloid

Conducive

https://doi.org/10.1007/978-3-663-04514-4from the diffusion tensor, and the fiber orientations from the fiber orientation distribution function. Quantitative evaluation was carried out on the number of diffusion gradient directions, different orthogonal acquisitions, and enhanced 4D volumes from scattered data interpolation of multiple ser

glucagon

漫不經(jīng)心

Ischemia