Deep learning has revolutionized image processing and achieved the-state-of-art
performance in many medical image segmentation tasks. Many deep learning-based …

This topical review focuses on the applications of artificial intelligence (AI) tools to
stereotactic body radiation therapy (SBRT). The high dose per fraction and the limited …

Objective. Real-time imaging is highly desirable in image-guided radiotherapy, as it
provides instantaneous knowledge of patients' anatomy and motion during treatments and …

Objective. Real-time imaging, a building block of real-time adaptive radiotherapy, provides
instantaneous knowledge of anatomical motion to drive delivery adaptation to improve …

Artificial intelligence (AI) has great potential to transform the clinical workflow of
radiotherapy. Since the introduction of deep neural networks (DNNs), many AI-based …

Objective. Respiration introduces a constant source of irregular motion that poses a
significant challenge for the precise irradiation of thoracic and abdominal cancers. Current …

Objective: FLASH radiotherapy leverages ultra-high dose-rate radiation to enhance the
sparing of organs at risk without compromising tumor control probability. This may allow …

This chapter reviews recent developments of generative adversarial network (GAN)-based
methods for medical and biomedical image synthesis tasks. These methods are classified …

Radiotherapy is one of the primary treatment methods for tumors, but the organ movement
caused by respiration limits its accuracy. Recently, 3D imaging from a single X-ray projection …

Accurately reconstructing 4D critical organs contributes to the visual guidance in X-ray
image-guided interventional operation. Current methods estimate intraoperative dynamic …