Objective. In MR-only clinical workflow, replacing CT with MR image is of advantage for
workflow efficiency and reduces radiation to the patient. An important step required to …

Synthetic computed tomography (sCT) generated from magnetic resonance imaging (MRI)
can serve as a substitute for planning CT in radiation therapy (RT), thereby removing …

The aim of this systematic review is to determine whether Deep Learning (DL) algorithms
can provide a clinically feasible alternative to classic algorithms for synthetic Computer …

Accurate and efficient tools for calculating the ground state properties of interacting quantum
systems are essential in the design of nanoelectronic devices. The exact diagonalization …

Abstract Background and Purpose: Addressing the need for accurate dose calculation in
MRI-only radiotherapy, the generation of synthetic Computed Tomography (sCT) from MRI …

Introduction For radiotherapy based solely on magnetic resonance imaging (MRI),
generating synthetic computed tomography scans (sCT) from MRI is essential for dose …

Purpose Deep learning (DL)-based dose distribution prediction can potentially reduce the
cost of inverse planning process. We developed and introduced a structure-focused loss (L …

Rationale and objectives This study evaluated StarGAN, a deep learning model designed to
generate synthetic computed tomography (sCT) images from magnetic resonance imaging …

Study is being conducted on training Generative Adversarial Networks (GANs) from 2D
datasets to generate 3D human body avatars. Numerous applications, such as virtual reality …

Radiotherapy treatment planning based only on magnetic resonance imaging (MRI) has
become clinically achievable. Though computed tomography (CT) is the gold standard for …