A review on medical imaging synthesis using deep learning and its clinical applications
This paper reviewed the deep learning‐based studies for medical imaging synthesis and its
clinical application. Specifically, we summarized the recent developments of deep learning …
clinical application. Specifically, we summarized the recent developments of deep learning …
[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 …
The Chinese Society of Clinical Oncology (CSCO) clinical guidelines for the diagnosis and treatment of nasopharyngeal carcinoma
LL Tang, YP Chen, CB Chen, MY Chen… - Cancer …, 2021 - Wiley Online Library
Nasopharyngeal carcinoma (NPC) is a malignant epithelial tumor originating in the
nasopharynx and has a high incidence in Southeast Asia and North Africa. To develop these …
nasopharynx and has a high incidence in Southeast Asia and North Africa. To develop these …
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 …
Medical physics challenges in clinical MR-guided radiotherapy
The integration of magnetic resonance imaging (MRI) for guidance in external beam
radiotherapy has faced significant research and development efforts in recent years. The …
radiotherapy has faced significant research and development efforts in recent years. The …
Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives
Over the last years, technological innovation in Radiotherapy (RT) led to the introduction of
Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast …
Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast …
[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 …
Multi‐sequence MR image‐based synthetic CT generation using a generative adversarial network for head and neck MRI‐only radiotherapy
M Qi, Y Li, A Wu, Q Jia, B Li, W Sun, Z Dai, X Lu… - Medical …, 2020 - Wiley Online Library
Purpose The purpose of this study is to investigate the effect of different magnetic resonance
(MR) sequences on the accuracy of deep learning‐based synthetic computed tomography …
(MR) sequences on the accuracy of deep learning‐based synthetic computed tomography …
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 …