The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …

Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated
remarkable progress in image-recognition tasks. Methods ranging from convolutional neural …

X-ray computed tomography (CT) using sparse projection views is a recent approach to
reduce the radiation dose. However, due to the insufficient projection views, an analytic …

This is a comprehensive, critical, and pedagogical review of volumetric emission
tomography for combustion processes. Many flames that are of interest to scientists and …

We present a new image reconstruction method that replaces the projector in a projected
gradient descent (PGD) with a convolutional neural network (CNN). Recently, CNNs trained …

Composite materials are increasingly used in the aerospace industry. To fully realise the
weight saving potential along with superior mechanical properties that composites offer in …

We propose IntraTomo, a powerful framework that combines the benefits of learning-based
and model-based approaches for solving highly ill-posed inverse problems in the Computed …

In this article the Tomographic Iterative GPU-based Reconstruction (TIGRE) Toolbox, a
MATLAB/CUDA toolbox for fast and accurate 3D x-ray image reconstruction, is presented …

Inverse problems arise from the need to interpret indirect and incomplete measurements. As
an area of contemporary mathematics, the field of inverse problems is strongly driven by …

Graphics processing units (GPUs) are used today in a wide range of applications, mainly
because they can dramatically accelerate parallel computing, are affordable and energy …