This article reviews the use of a subdiscipline of artificial intelligence (AI), deep learning, for
the reconstruction of images in positron emission tomography (PET). Deep learning can be …

Deep learning based generative adversarial networks (GAN) can effectively perform image
reconstruction with under-sampled MR data. In general, a large number of training samples …

Generative adversarial network, in short GAN, is a new convolution neural network (CNN)
based framework with the great potential to determine high dimensional data from its …

A compressive sensing method is a current structure for signal sampling and reclamation. It
allows signal acquisition with fewer sampling than the Nyquist-Shannon theorem needs and …

Speed, safety and efficiency are the key to any industrial progress. We as human beings, get
astounded by the industrial achievements and the products manufactured, but we tend to …

Solutions to inverse problems with dictionary learning and transform learning are well
known. In recent years, their graph regularized versions have also been proposed. Graph …