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Found 7 papers, 3 papers with code
Invertible Low-Dimensional Modelling of X-ray Absorption Spectra for Potential Applications in Spectral X-ray Imaging
X-ray interaction with matter is an energy-dependent process that is contingent on the atomic structure of the constituent material elements.
Stereo X-ray Tomography
From stereo vision, it is well known that, for a known imaging geometry, once the same point is identified in two images taken from different directions, then the point's location in 3D space is exactly specified.
Data-Driven Interpolation for Super-Scarce X-Ray Computed Tomography
To do so, we train shallow neural networks to combine two neighbouring acquisitions into an estimated measurement at an intermediate angle.
Sinogram Enhancement with Generative Adversarial Networks using Shape Priors
Compensating scarce measurements by inferring them from computational models is a way to address ill-posed inverse problems.
Numerically robust tetrahedron-based tomographic forward and backward projectors on parallel architectures
X-ray tomographic reconstruction typically uses voxel basis functions to represent volumetric images.
Distributed, Parallel, and Cluster Computing
Arbitrarily large iterative tomographic reconstruction on multiple GPUs using the TIGRE toolbox
Tomographic image sizes keep increasing over time and while the GPUs that compute the tomographic reconstruction are also increasing in memory size, they are not doing so fast enough to reconstruct the largest datasets.
Distributed, Parallel, and Cluster Computing
Iterative Hard Thresholding for Compressed Sensing
- It requires a fixed number of iterations depending only on the logarithm of a form of signal to noise ratio of the signal.
Information Theory Numerical Analysis Information Theory Numerical Analysis
