Radiation therapy treatments are typically planned based on a single image set, assuming that the patient's anatomy and its position relative to the delivery system remains constant …
Radiotherapy treatment planning studies significantly contribute to advances and improvements in radiation treatment of cancer patients. They are a pivotal step to support …
In-room imaging is a prerequisite for adaptive proton therapy. The use of onboard cone- beam computed tomography (CBCT) imaging, which is routinely acquired for patient …
Advances in computing hardware and software platforms have led to the recent resurgence in artificial intelligence (AI) touching almost every aspect of our daily lives by its capability for …
Technology has a pivotal role in the continuous development of radiotherapy. The long road toward modern 'high‐tech'radiation oncology has been studded with discoveries and …
B Rigaud, BM Anderson, HY Zhiqian, M Gobeli… - International Journal of …, 2021 - Elsevier
Purpose This study investigated deep learning models for automatic segmentation to support the development of daily online dose optimization strategies, eliminating the need …
ZHE Zhang, X Wei - Seminars in Cancer Biology, 2023 - Elsevier
The rapid development of artificial intelligence (AI) technologies in the context of the vast amount of collectable data obtained from high-throughput sequencing has led to an …
LGM Zwart, F Ong, LA Ten Asbroek… - Physics and Imaging in …, 2022 - Elsevier
Background and purpose Studies have shown the potential of cone-beam computed tomography (CBCT)-guided online adaptive radiotherapy (oART) for prostate cancer …
We develop a methodology to create data-driven predictive digital twins for optimal risk- aware clinical decision-making. We illustrate the methodology as an enabler for an …