3 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.DC2019★ 3 cited
Block stochastic gradient descent for large-scale tomographic reconstruction in a parallel network
Yushan Gao, Ander Biguri, Thomas Blumensath
Iterative algorithms have many advantages for linear tomographic image reconstruction when compared to back-projection based methods. However, iterative methods tend to have signif…
cs.IT2018
BSGD-TV: A parallel algorithm solving total variation constrained image reconstruction problems
Yushan Gao, Thomas Blumensath
We propose a parallel reconstruction algorithm to solve large scale TV constrained linear inverse problems. We provide a convergence proof and show numerically that our method is s…
cs.DC2017★ 2 cited
Distributed Computation of Linear Inverse Problems with Application to Computed Tomography
Yushan Gao, Thomas Blumensath
The inversion of linear systems is a fundamental step in many inverse problems. Computational challenges exist when trying to invert large linear systems, where limited computing r…