Background: Deformable image registration (DIR) is increasingly used in the field of
radiation therapy (RT) to account for anatomical deformations. The aims of this paper are to …

Over the last few decades, deformable image registration (DIR) has gained popularity in
image‐guided radiation therapy for a number of applications, such as contour propagation …

Male pelvic multi-organ segmentation aided by CBCT-based synthetic MRI - IOPscience This
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Purpose Recent advances in deep neural networks (DNNs) have unlocked opportunities for
their application for automatic image segmentation. We have evaluated a DNN-based …

Purpose Retrospective studies were performed to evaluate the accuracy of automatically
mapped structures and dosimetric consequences of daily online adaptive radiation therapy …

Importance Personalized radiotherapy planning depends on high-quality delineation of
target tumors and surrounding organs at risk (OARs). This process puts additional time …

Automated atlas-based segmentation (ABS) algorithms present the potential to reduce the
variability in volume delineation. Several vendors offer software that are mainly used for …

Purpose This study aimed to evaluate the clinical utility of a novel iterative cone beam
computed tomography (CBCT) reconstruction algorithm for prostate and head and neck …

OBJECTIVE. Deep learning applications in radiology often suffer from overfitting, limiting
generalization to external centers. The objective of this study was to develop a high-quality …

Purpose Task automation is essential for efficient and consistent image segmentation in
radiation oncology. We report on a deep learning architecture, comprising a U‐Net and a …