Radiotherapy (RT) aims to deliver a spatially conformal dose of radiation to tumours while
maximizing the dose sparing to healthy tissues. However, the internal patient anatomy is …

Artificial intelligence (AI) has already been implemented widely in the medical field in the
recent years. This paper first reviews the background of AI and radiotherapy. Then it …

In this review article, we introduced the importance of “motion management” in advanced
particle therapy. Several publications have reported that organ motion causes dose …

Background and purpose To investigate a novel markerless prostate localization strategy
using a pre-trained deep learning model to interpret routine projection kilovoltage (kV) X-ray …

Purpose Lung stereotactic ablative body radiotherapy (SABR) is a radiation therapy success
story with level 1 evidence demonstrating its efficacy. To provide real‐time respiratory …

Purpose To improve respiratory gating accuracy and treatment throughput, we developed a
fluoroscopic markerless tumor tracking algorithm based on a deep neural network (DNN) …

Purpose Manual delineation on all breathing phases of lung cancer 4D CT image datasets
can be challenging, exhaustive, and prone to subjective errors because of both the large …

To improve respiratory-gated radiotherapy accuracy, we developed a machine learning
approach for markerless tumor tracking and evaluated it using lung cancer patient data …

Visualization of anatomy in real time is of critical importance for motion management in lung
cancer radiotherapy. To achieve real-time, and high-contrast in-treatment imaging, we …

Introduction To develop real-time image processing for image-guided radiotherapy, we
evaluated several neural network models for use with different imaging modalities, including …