Artificial intelligence in radiotherapy
G Li, X Wu, X Ma - Seminars in Cancer Biology, 2022 - Elsevier
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 …
(AI) has developed rapidly over the past few years. With the explosive growth of medical big …
Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives
The rapid development of artificial intelligence (AI) has gained importance, with many tools
already entering our daily lives. The medical field of radiation oncology is also subject to this …
already entering our daily lives. The medical field of radiation oncology is also subject to this …
Real-time 4D MRI using MR signature matching (MRSIGMA) on a 1.5 T MR-Linac system
Objective. To develop real-time 4D MRI using MR signature matching (MRSIGMA) for
volumetric motion imaging in patients with pancreatic cancer on a 1.5 T MR-Linac system …
volumetric motion imaging in patients with pancreatic cancer on a 1.5 T MR-Linac system …
Deep Learning for Pancreas Segmentation: a Systematic Review
Pancreas segmentation has been traditionally challenging due to its small size in computed
tomography abdominal volumes, high variability of shape and positions among patients, and …
tomography abdominal volumes, high variability of shape and positions among patients, and …
Intra-fraction motion of pelvic oligometastases and feasibility of PTV margin reduction using MRI guided adaptive radiotherapy
Purpose This study assesses the impact of intra-fraction motion and PTV margin size on
target coverage for patients undergoing radiation treatment of pelvic oligometastases …
target coverage for patients undergoing radiation treatment of pelvic oligometastases …
Deep learning in MRI‐guided radiation therapy: A systematic review
Recent advances in MRI‐guided radiation therapy (MRgRT) and deep learning techniques
encourage fully adaptive radiation therapy (ART), real‐time MRI monitoring, and the MRI …
encourage fully adaptive radiation therapy (ART), real‐time MRI monitoring, and the MRI …
A prior knowledge-guided, deep learning-based semiautomatic segmentation for complex anatomy on magnetic resonance imaging
Purpose Despite recent substantial improvement in autosegmentation using deep learning
(DL) methods, labor-intensive and time-consuming slice-by-slice manual editing is often …
(DL) methods, labor-intensive and time-consuming slice-by-slice manual editing is often …
NRG Oncology Assessment of Artificial Intelligence Deep Learning–Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations …
Deep learning neural networks (DLNN) in Artificial intelligence (AI) have been extensively
explored for automatic segmentation in radiotherapy (RT). In contrast to traditional model …
explored for automatic segmentation in radiotherapy (RT). In contrast to traditional model …
MR signature matching (MRSIGMA) implementation for true real‐time free‐breathing volumetric imaging with sub‐200 ms latency on an MR‐Linac
Purpose Develop a true real‐time implementation of MR signature matching (MRSIGMA) for
free‐breathing 3D MRI with sub‐200 ms latency on the Elekta Unity 1.5 T MR‐Linac …
free‐breathing 3D MRI with sub‐200 ms latency on the Elekta Unity 1.5 T MR‐Linac …
Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone‐beam CT
J Jiang, J Hong, K Tringale, M Reyngold… - Medical …, 2023 - Wiley Online Library
Background Adaptive radiation treatment (ART) for locally advanced pancreatic cancer
(LAPC) requires consistently accurate segmentation of the extremely mobile gastrointestinal …
(LAPC) requires consistently accurate segmentation of the extremely mobile gastrointestinal …