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Found 4 papers, 1 papers with code
Supervised Reconstruction for Silhouette Tomography
In this paper, we introduce silhouette tomography, a novel formulation of X-ray computed tomography that relies only on the geometry of the imaging system.
Machine Learning technique for isotopic determination of radioisotopes using HPGe $\mathrmγ$-ray spectra
$\mathrm{\gamma}$-ray spectroscopy is a quantitative, non-destructive technique that may be utilized for the identification and quantitative isotopic estimation of radionuclides.
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data
This work focuses on image reconstruction in such settings, i. e., when both the number of available CT projections and the training data is extremely limited.
Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography
Object density reconstruction from projections containing scattered radiation and noise is of critical importance in many applications.
