As one of the most popular approaches in artificial intelligence, deep learning (DL) has
attracted a lot of attention in the medical physics field over the past few years. The goals of …

Since the beginning of the applications of non-destructive testing/evaluation (NDT/NDE)
techniques, efforts have been made consistently to improve their detection sensitivity and …

Monte Carlo simulation techniques made a slow entry in the field of radiotherapy in the late
1970s. Since then they have gained enormous popularity, judging by the number of papers …

The use of monolithic scintillator-based photon detectors in positron emission tomography
(PET) has emerged as an attractive alternative to traditional pixelated array designs …

Medical imaging is an invaluable resource in medicine as it enables to peer inside the
human body and provides scientists and physicians with a wealth of information …

Image reconstruction in magnetic resonance imaging (MRI) clinical applications has
become increasingly more complicated. However, diagnostic and treatment require very fast …

Currently in HDR brachytherapy planning, a manual fine-tuning of an objective function is
necessary to obtain case-specific valid plans. This study intends to facilitate this process by …

The advanced magnetic resonance (MR) image reconstructions such as the compressed
sensing and subspace-based imaging are considered as large-scale, iterative, optimization …

Mixed-precision computing becomes an inevitable trend for HPC and AI applications due to
the increasing using mixed-precision units such as NVIDIA Tensor Cores. Fast Fourier …

Drying processes in porous materials and their optimization are of interest in research and in
many industrial applications. X-ray micro-computed tomography presents a versatile …