Exact(7)
The first derivatives of the quadratic polynomial solution are then reconstructed using a WENO reconstruction in order to eliminate spurious oscillations in the vicinity of strong discontinuities, thus ensuring the nonlinear stability of the rDG method.
The interval bounds on the original states are then reconstructed using the inverse transformation.
The original signals θ i are then reconstructed using the estimated values of α and β.
Projection data are then reconstructed using an iterative algorithm based on the ordered subsets expectation maximization (OSEM) algorithm.
The local RD matrices are then reconstructed using either the truncated or the modified Σ matrix to obtain the filtered signal that can now be used for CNV detection.
The data are then reconstructed using the normalized Born approach to correct for tissue and illumination inhomogeneities, which is written in discrete notation as y = Ax with the following definitions [ 6].
Similar(53)
The WB-PET was then reconstructed using OSEM iterative reconstruction with 2 iteration, 18 subsets, 5 mm Gaussian filter, time of flight and SharpIR.
Alignments were then reconstructed using MUSCLE v3.7 [ 84] followed by a maximum likelihood tree reconstruction as implemented in PhyML.
They were then reconstructed using Neurolucida (upper left and middle) and their synaptic connectivity pattern examined.
The backbone coordinates of the resulting 1,000 trajectory frames were then reconstructed using PULCHRA, which optimizes the hydrogen bonding geometry for the backbone atoms37.
The data were then reconstructed using FBP and MLAC.
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