… To the best of our knowledge, no deep learning based approach has been used to adapt a
… Thus, instead of depending on a static deep learning model, we accumulate the knowledge …

… an essential tool of adaptive radiotherapy in our clinic. … QA pipeline for adaptive radiotherapy
in our institution. It will … the efficiency and effectiveness of lung adaptive radiotherapy. …

… The use of deep learning (DL) to improve cone‐beam CT (CBCT) image quality has gained
… CBCT imaging has the potential to facilitate online adaptive radiation therapy (ART) by …

… AI, specifically deep learning applications, has … of adaptive radiotherapy. The exciting
advances described in this edition of Seminars in Radiation Oncology on adaptive radiotherapy …

Purpose This study investigated deep learning models for automatic segmentation to support
the development of daily online dose optimization strategies, eliminating the need for …

… Deep Learning (DL) technique has shown great potential but still has limited success in
online contouring for MR-guided adaptive radiotherapy (MRgART). This study proposed a patient…

Adaptive radiotherapy (ART) planning and delivery strategies are often a prerequisite for
accurate dose delivery for several tumour sites influenced by inter-fractional anatomical …

… Applications of deep learning (DL) are essential to realizing an effective adaptive radiotherapy
(ART) workflow. Despite the promise demonstrated by DL approaches in several critical …

… This study investigated the feasibility of deep learning-based segmentation (DLS) and
continual training for adaptive radiotherapy (RT) of head and neck (H&N) cancer. One-hundred …

… adaptive radiotherapy (MRI-g-OART) improves target coverage and organs-at-risk (OARs)
sparing in radiation therapy (… We hypothesized that deep learning (DL) convolutional neural …