activity
20162018
most citedSuperiorization of Incremental Optimization Algorithms for Statistical Tomographic Image Reconstruction

6 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2018★ 2 cited

Alternative Fan-beam Backprojection and Adjoint Operators

Patricio Guerrero, Matheus Bernardi, Eduardo X. Miqueles

We present in this work alternative analytic formulations for the fan-beam tomographic backprojection operation and its associated adjoint transform in standard (equiangular) and l…

cs.DC2017★ 1 cited

Low-complexity Distributed Tomographic Backprojection for large datasets

Gilberto Martinez, Janito V. Ferreira Filho, Eduardo X. Miqueles

In this manuscript we present a fast GPU implementation for tomographic reconstruction of large datasets using data obtained at the Brazilian synchrotron light source. The algorith…

math.NA2017★ 1 cited

Phase-Retrieval as a Regularization Problem

Eduardo X. Miqueles, Nathaly L. Archilha, Marcelo R. Dos Anjos +2

It was recently shown that the phase retrieval imaging of a sample can be modeled as a simple convolution process. Sometimes, such a convolution depends on physical parameters of t…

math.OC2016★ 6 cited

Superiorization of Incremental Optimization Algorithms for Statistical Tomographic Image Reconstruction

Elias S. Helou, Marcelo V. W. Zibetti, Eduardo X. Miqueles

We propose the superiorization of incremental algorithms for tomographic image reconstruction. The resulting methods follow a better path in its way to finding the optimal solution…

math.NA2016★ 6 cited

Fast Backprojection Techniques for High Resolution Tomography

Nikolay Koshev, Elias S. Helou, Eduardo X. Miqueles

Fast image reconstruction techniques are becoming important with the increasing number of scientific cases in high resolution micro and nano tomography. The processing of the large…