This paper gives an overview of recent developments in non-coplanar intensity modulated
radiotherapy (IMRT) and volumetric modulated arc therapy (VMAT). Modern linear …

The goal of this study is to demonstrate the feasibility of a novel fully-convolutional
volumetric dose prediction neural network (DoseNet) and test its performance on a cohort of …

Deep learning algorithms have recently been developed that utilize patient anatomy and
raw imaging information to predict radiation dose, as a means to increase treatment …

Purpose To suggest an attention-aware, cycle-consistent generative adversarial network (A-
CycleGAN) enhanced with variational autoencoding (VAE) as a superior alternative to …

Abstract Purpose of Review This review provides an overview of robotic systems in
radiotherapy and radiosurgery, with a focus on medical devices and recently proposed …

Properly selected beam angles contribute to the quality of radiotherapy treatment plans.
However, the beam angle optimization (BAO) problem is difficult to solve to optimality due to …

Purpose Enhance rectum and bladder sparing in prostate SBRT with minimum increase in
treatment time by complementing dual-arc coplanar VMAT with a two-beam non-coplanar …

An important aspect of robotic radiation therapy is active compensation of target motion.
Recently, ultrasound has been proposed to obtain real-time volumetric images of abdominal …

Purpose Several studies have demonstrated potential improvements in treatment time
through the use of dynamic arcs for delivery of stereotactic body radiation therapy (SBRT) on …

Purpose The use of dynamic arcs for delivery of stereotactic body radiation therapy (SBRT)
on Cyberknife is investigated, with a view to improving treatment times. This study …