Artificial Intelligence (AI) is currently being introduced into different domains, including
medicine. Specifically in radiation oncology, machine learning models allow automation and …

Abstract Recently, deep learning (DL)‐based methods for the generation of synthetic
computed tomography (sCT) have received significant research attention as an alternative to …

Abstract Magnetic Resonance Imaging (MRI) guided Radiation Therapy is a hot topic in the
current studies of radiotherapy planning, which requires using MRI to generate synthetic …

Magnetic resonance imaging (MRI) offers superior soft-tissue contrast as compared with
computed tomography (CT), which is conventionally used for radiation therapy treatment …

Over the past decade, the application of magnetic resonance imaging (MRI) has increased,
and there is growing evidence to suggest that improvements in the accuracy of target …

Radiation therapy to the prostate involves increasingly sophisticated delivery techniques
and changing fractionation schedules. With a low estimated α/β ratio, a larger dose per …

Purpose This work aims to facilitate a fast magnetic resonance (MR)-only workflow for
radiation therapy of intracranial tumors. Here, we evaluate whether synthetic computed …

Purpose Magnetic resonance imaging (MRI)‐guided radiation therapy (RT) treatment
planning is limited by the fact that the electron density distribution required for dose …

Purpose To validate automatic substitute computed tomography CT (sCT) scans generated
from standard T2-weighted (T2w) magnetic resonance (MR) pelvic scans for MR-Sim …

Purpose To develop and evaluate a patch‐based convolutional neural network (CNN) to
generate synthetic computed tomography (sCT) images for magnetic resonance (MR)‐only …