Background: Head and neck cancer treatment does not yield desired outcomes for all
patients. This investigation aimed to explore the feasibility of predicting treatment outcomes …

The purpose of this study is to investigate the influence of different magnetic resonance (MR)
sequences on the accuracy of generating computed tomography (sCT) images for …

Abstract Background Stereotactic MR‐guided Adaptive Radiation Therapy (SMART) dose
painting for hypoxia has potential to improve treatment outcomes, but clinical …

Purpose/Objective (s) Contrast-enhanced MRIs are necessary to delineate the primary gross
tumor volume (GTVp) in radiotherapy of nasopharyngeal carcinoma (NPC). However, using …

We developed a new joint probabilistic segmentation and image distribution matching
generative adversarial network (PSIGAN) for unsupervised domain adaptation (UDA) and …

Abstract Background/Purpose Adequate image registration of anatomical and functional
magnetic resonance imaging (MRI) scans is necessary for MR‐guided head and neck …

Objective We explore the potential dosimetric benefits of reducing treatment volumes
through daily adaptive radiation therapy for head and neck cancer (HNC) patients using the …

Purpose/Objective (s): With the development of deep learning, more convolutional neural
networks (CNNs) are being introduced in automatic segmentation to reduce oncologists' …

Since the introduction of magnetic resonance imaging (MRI) to radiation therapy (RT), it has
increasingly been adopted in RT treatment planning for target and organ-at-risk (OAR) …

Background and purpose Boron neutron capture therapy (BNCT) has been routinely
practiced for treatment of head and neck cancer in Japan. However, differences in …