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Reconstruction-Aware Imaging System Ranking by use of a Sparsity-Driven Numerical Observer Enabled by Variational Bayesian Inference
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.
Development of an Ideal Observer that Incorporates Nuisance Parameters and Processes List-Mode Data
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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