Purpose To develop a deep learning model that generates consistent, high-quality lymph
node clinical target volumes (CTV) contours for head and neck cancer (HNC) patients, as an …

Radiotherapy is one of the mainstream treatment modalities for cancer. A large amount of
structured data, including image, dose, and structure delineations, is produced during …

Modern standards of precision radiotherapy, primarily driven by the technological advances
of intensity modulation and image guidance, have led to increased versatility in radiotherapy …

Based on the development of new hybrid machines consisting of an MRI and a linear
accelerator, magnetic resonance image guided radiotherapy (MRgRT) has revolutionized …

Purpose/Objective (s) Even when treating head and neck cancer (HNC) with daily image-
guided radiation therapy, setup margins of 3-5 mm are required to ensure adequate …

Background Magnetic resonance image only (MRI‐only) simulation for head and neck
(H&N) radiotherapy (RT) could allow for single‐image modality planning with excellent soft …

Purpose MR-linacs (MRLs) have enabled the use of stereotactic magnetic resonance (MR)
guided online adaptive radiotherapy (SMART) across many cancers. As data emerges to …

The definition of tumor involved volumes in patients with head and neck cancer poses great
challenges with the increasing use of highly conformal radiotherapy techniques eg …

Purpose: To develop an automatic segmentation algorithm integrating imaging information
from computed tomography (CT), positron emission tomography (PET), and magnetic …

Radiation therapy (RT), in particular intensity-modulated radiation therapy (IMRT), is
becoming a more important nonsurgical treatment strategy in head and neck cancer (HNC) …