23 citations · 35 across the 6 of their papers we have counts for
6 papers
Plug-and-play superiorization
Jon Henshaw, Aviv Gibali, Thomas Humphries
The superiorization methodology (SM) is an optimization heuristic in which an iterative algorithm, which aims to solve a particular problem, is ``superiorized'' to promote solution…
A New Spectral Conjugate Subgradient Method with Application in Computed Tomography Image Reconstruction
Milagros Loreto, Thomas Humphries, Chella Raghavan +2
A new spectral conjugate subgradient method is presented to solve nonsmooth unconstrained optimization problems. The method combines the spectral conjugate gradient method for smoo…
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images
Ruiwen Xing, Thomas Humphries, Dong Si
Computed tomography (CT) uses X-ray measurements taken from sensors around the body to generate tomographic images of the human body. Conventional reconstruction algorithms can be…
Superiorized method for metal artifact reduction
T. Humphries, J. Wang
Metal artifact reduction (MAR) is a challenging problem in computed tomography (CT) imaging. A popular class of MAR methods replace sinogram measurements that are corrupted by meta…
Superiorized algorithm for reconstruction of CT images from sparse-view and limited-angle polyenergetic data
T. Humphries, J. Winn, A. Faridani
Recent work in CT imaging has seen increased interest in the use of total variation (TV) and related penalties to regularize problems involving reconstruction from undersampled or…
Convergence analysis of a polyenergetic SART algorithm
Thomas Humphries
Purpose: We analyze a recently proposed polyenergetic version of the simultaneous algebraic reconstruction technique (SART). This algorithm, denoted pSART, replaces the monoenerget…