Search Results for author: Matthew A. Kupinski

Found 2 papers, 0 papers with code

Reconstruction-Aware Imaging System Ranking by use of a Sparsity-Driven Numerical Observer Enabled by Variational Bayesian Inference

no code implementations14 May 2019 Yujia Chen, Yang Lou, Kun Wang, Matthew A. Kupinski, Mark A. Anastasio

In this work, a sparsity-driven observer (SDO) that can be employed to optimize hardware by use of a stochastic object model describing object sparsity is described and investigated.

Bayesian Inference Compressive Sensing +1

Development of an Ideal Observer that Incorporates Nuisance Parameters and Processes List-Mode Data

no code implementations2 Feb 2016 Christopher J. MacGahan, Matthew A. Kupinski, Nathan R. Hilton, Erik M. Brubaker, William C. Johnson

Observer models were developed to process data in list-mode format in order to perform binary discrimination tasks for use in an arms-control-treaty context.

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