We develop a total variation (TV) regularized self-supervised Bayesian DL model, dubbed as TVRBNN, which combines the advantages of Bayesian neural network (BNN) and TV regularization techniques for ...

Positron Emission Tomography (PET) image reconstruction presents challenges related to the large scale of data to be processed, which affects reconstruction speed, and the need to include regularizers ...