Background and objective: Neural network based image reconstruction methods are
becoming increasingly popular. However, limited training data and the lack of theoretical …

The success of deep image prior (DIP) in a number of image processing tasks has motivated
their application in image reconstruction problems in computed tomography (CT). In this …

Tomography has had an important impact on the physical, biological, and medical sciences.
To date, most tomographic applications have been focused on 3D scalar reconstructions …

Neural network related methods, due to their unprecedented success in image processing,
have emerged as a new set of tools in CT reconstruction with the potential to change the …

In order to meet the heavy backprojection calculation of the backprojection filtration (BPF)
algorithm in circular cone‐beam computed tomography (CT), a fast backprojection method is …

Background and Objective: The strong demand for medical imaging applications leads to
the popularity of the CT reconstruction problem. Researchers proposed multiple constraints …

Background Computed tomography (CT) reconstruction problems are always framed as
inverse problems, where the attenuation map of an imaged object is reconstructed from the …

Abstract Background and Objective: The success of neural networks in a number of image
processing tasks has motivated their application in image reconstruction problems in …