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Found 4 papers, 1 papers with code
Data and Image Prior Integration for Image Reconstruction Using Consensus Equilibrium
In this work, a principled approach is presented allowing the unified integration of both data and image domain priors for improved image reconstruction.
Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium
In this work, we aim to combine the power of deep learning in both the data and image domains through a two-step process based on the consensus equilibrium (CE) framework.
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning
The subsequent complete projection data is then used with FBP to reconstruct image intended to be free of artifacts.
Sensing-Aware Kernel SVM
We propose a novel approach for designing kernels for support vector machines (SVMs) when the class label is linked to the observation through a latent state and the likelihood function of the observation given the state (the sensing model) is available.
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