Radiotherapy is a discipline closely integrated with computer science. Artificial intelligence
(AI) has developed rapidly over the past few years. With the explosive growth of medical big …

Radiation therapy (RT) is currently the main clinical treatment of tumors. Before treatment
initiation, precise delineation of the planned target volume (PTV) and organs at risk (OAR) is …

Objective. Next generation online and real-time adaptive radiotherapy workflows require
precise particle transport simulations in sub-second times, which is unfeasible with current …

Magnetic resonance imaging-guided radiation therapy (MRIgRT) has improved soft tissue
contrast over computed tomography (CT) based image-guided RT. Superior visualization of …

The recent introduction of a commercial 1.5 T MR-linac system has considerably improved
the image quality of the patient acquired in the treatment unit as well as enabling online …

High quality radiation therapy requires highly accurate and precise dose delivery. MR-
guided radiotherapy (MRgRT), integrating an MRI scanner with a linear accelerator, offers …

Objective. To present a transformer-based UNet model (TransDose) for fast and accurate
dose calculation for magnetic resonance-linear accelerators (MR-LINACs). Approach. A 2D …

Particle physics simulations are the cornerstone of nuclear engineering applications. Among
them radiotherapy (RT) is crucial for society, with 50% of cancer patients receiving radiation …

Background Fast dose calculation is critical for online and real‐time adaptive therapy
workflows. While modern physics‐based dose algorithms must compromise accuracy to …

Quantitative magnetic resonance imaging (qMRI) has been shown to provide many potential
advantages for personalized adaptive radiotherapy (RT). Deep learning models have …