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08/06/2023
PNN: From proximal algorithms to robust unfolded image denoising networks and Plug-and-Play methods
A common approach to solve inverse imaging problems relies on finding a ...
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04/21/2023
A Data-Driven Approach for Bayesian Uncertainty Quantification in Imaging
Uncertainty quantification in image restoration is a prominent challenge...
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01/06/2023
Uncertainty Quantification in CT pulmonary angiography
Computed tomography (CT) imaging of the thorax is widely used for the de...
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10/26/2022
A Variational Inequality Model for Learning Neural Networks
Neural networks have become ubiquitous tools for solving signal and imag...
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10/05/2022
A distributed Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems
Sampling-based algorithms are classical approaches to perform Bayesian i...
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03/02/2018
