[HTML][HTML] Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance
L Vandewinckele, M Claessens, A Dinkla… - Radiotherapy and …, 2020 - Elsevier
Artificial Intelligence (AI) is currently being introduced into different domains, including
medicine. Specifically in radiation oncology, machine learning models allow automation and …
medicine. Specifically in radiation oncology, machine learning models allow automation and …
Deep learning based synthetic‐CT generation in radiotherapy and PET: a review
Abstract Recently, deep learning (DL)‐based methods for the generation of synthetic
computed tomography (sCT) have received significant research attention as an alternative to …
computed tomography (sCT) have received significant research attention as an alternative to …
Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review
Purpose In radiotherapy, MRI is used for target volume and organs-at-risk delineation for its
superior soft-tissue contrast as compared to CT imaging. However, MRI does not provide the …
superior soft-tissue contrast as compared to CT imaging. However, MRI does not provide the …
[HTML][HTML] Deep learning based synthesis of MRI, CT and PET: Review and analysis
Medical image synthesis represents a critical area of research in clinical decision-making,
aiming to overcome the challenges associated with acquiring multiple image modalities for …
aiming to overcome the challenges associated with acquiring multiple image modalities for …
MR-guided proton therapy: a review and a preview
A Hoffmann, B Oborn, M Moteabbed, S Yan… - Radiation …, 2020 - Springer
Background The targeting accuracy of proton therapy (PT) for moving soft-tissue tumours is
expected to greatly improve by real-time magnetic resonance imaging (MRI) guidance. The …
expected to greatly improve by real-time magnetic resonance imaging (MRI) guidance. The …
[HTML][HTML] Deep learning-based synthetic CT generation for paediatric brain MR-only photon and proton radiotherapy
M Maspero, LG Bentvelzen, MHF Savenije… - Radiotherapy and …, 2020 - Elsevier
Abstract Background and Purpose To enable accurate magnetic resonance imaging (MRI)-
based dose calculations, synthetic computed tomography (sCT) images need to be …
based dose calculations, synthetic computed tomography (sCT) images need to be …
Comparison of CBCT based synthetic CT methods suitable for proton dose calculations in adaptive proton therapy
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 …
beam computed tomography (CBCT) imaging, which is routinely acquired for patient …
Artificial general intelligence for radiation oncology
The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As
prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can …
prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can …
[HTML][HTML] Magnetic resonance-based synthetic computed tomography images generated using generative adversarial networks for nasopharyngeal carcinoma …
Background and purpose To investigate the feasibility of synthesizing computed tomography
(CT) images from magnetic resonance (MR) images using generative adversarial networks …
(CT) images from magnetic resonance (MR) images using generative adversarial networks …
Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy
Purpose Absorbed dose calculation in magnetic resonance-guided radiation therapy
(MRgRT) is commonly based on pseudo CT (pCT) images. This study investigated the …
(MRgRT) is commonly based on pseudo CT (pCT) images. This study investigated the …