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

Purpose In radiotherapy, MRI is used for target volume and organs-at-risk delineation for its
superior soft-tissue contrast as compared to CT imaging. However, MRI does not provide the …

Over the last years, technological innovation in Radiotherapy (RT) led to the introduction of
Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast …

Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …

Although magnetic resonance imaging (MRI) has become standard diagnostic workup for
head and neck malignancies and is currently recommended by most radiological societies …

Background Due to random motion of fetuses and maternal respirations, image quality of
fetal brain MRIs varies considerably. To address this issue, visual inspection of the images is …

Objective. Deep learning has shown promise in generating synthetic CT (sCT) from
magnetic resonance imaging (MRI). However, the misalignment between MRIs and CTs has …

Post‐hemorrhagic hydrocephalus (PHH) is a severe complication of intraventricular
hemorrhage (IVH) in very preterm infants. PHH monitoring and treatment decisions rely …

Recent advances in MRI‐guided radiation therapy (MRgRT) and deep learning techniques
encourage fully adaptive radiation therapy (ART), real‐time MRI monitoring, and the MRI …

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