This paper reviewed the deep learning‐based studies for medical imaging synthesis and its
clinical application. Specifically, we summarized the recent developments of deep learning …

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

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

The use of magnetic resonance imaging (MRI) in radiotherapy (RT) planning is rapidly
expanding. We review the wide range of image contrast mechanisms available to MRI and …

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 …

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 …

PURPOSE: Prostate radiation therapy dose planning directly on magnetic resonance
imaging (MRI) scans would reduce costs and uncertainties due to multimodality image …

Magnetic resonance (MR) images often provide superior anatomic and functional
information over computed tomography (CT) images, but generally are not used alone …

The exquisite soft-tissue contrast of magnetic resonance imaging (MRI) has meant that the
technique is having an increasing role in contouring the gross tumor volume (GTV) and …

Purpose The purpose of this study is to investigate the effect of different magnetic resonance
(MR) sequences on the accuracy of deep learning‐based synthetic computed tomography …