Tractography based on non-invasive diffusion imaging is central to the study of human brain
connectivity. To date, the approach has not been systematically validated in ground truth …

… This is a pattern recognition feature which is commonly used in EMG. Most of the … is
symmetric, and the inverse of a symmetric matrix is also symmetric, we can write K T = A −1 S …

… j ℓ is the Bessel function of the first kind and Y ℓm (u) is the order ℓ degree m spherical
harmonics. Then, the vector of measurements s is given by s = Ψ Φ x + ϵ , where Φ is … , Ψ is a sub-…

… is our limited knowledge of the anatomy to be reconstructed. Currently, post-mortem dissection
with Klingler’s … Another limitation of tractography as emphasized by our results is highly …

… S is the structural matrix, ∇ 2 S is the Laplacian of the structural matrix, … is an eigenvalue,
0 is an N × N matrix of zeros, u n is the nth eigenvector, C is a symmetric N × N matrix, and F is …

… is made possible by the millisecond resolution of EEG which makes the transfer of information
from one region to another observable. A subject specific Bayesian network is … levels is …

… Exploiting the properties of the U-net and \(S^2CNN\), we propose a voxel-wise spherical
U-net, that is tailored to the properties of dMRI signals acquired on spheres, namely real nature…

… is the arcuate fasciculus (AF), putatively connecting Broca’s and Wernicke’… R is the mean
square for rows, MS C is the mean square of columns, MS E is the mean square for error, k is …

… coherent is the water molecule diffusion along a specific orientation. MD is defined as the
mean of the three eigenvalues. AD is defined as the tensor’s largest eigenvalue whereas RD is …

… First we noticed that I l [ f ] is equal to zero for a large subset of l . This is explained by the
fact that the space of the real Gaunt coefficients themselves is very sparse and the coefficients …