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Synthetic CT generation from CBCT images via deep learning. - Abstract - Europe PMC
Evaluation of a cycle-generative adversarial network-based cone-beam CT to synthetic CT conversion algorithm for adaptive radiation therapy - ScienceDirect
A single neural network for cone-beam computed tomography-based radiotherapy of head-and-neck, lung and breast cancer - ScienceDirect
Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy, Radiation Oncology
Frontiers A Comparison Study Between CNN-Based Deformed Planning CT and CycleGAN-Based Synthetic CT Methods for Improving iCBCT Image Quality
Accuracy and Feasibility of Synthetic CT for Lung Adaptive Radiotherapy: A Phantom Study - Ruifeng Zhao, Xingliu Wang, Huanhai Wei, 2023
A cycle generative adversarial network for improving the quality of four-dimensional cone-beam computed tomography images, Radiation Oncology
Image quality visualization. Cone beam computed tomography (CBCT) (top
Frontiers Synthetic CT generation for MRI-guided adaptive radiotherapy in prostate cancer
Cancers, Free Full-Text
Generating synthesized computed tomography from CBCT using a conditional generative adversarial network for head and neck cancer patients - Yun Zhang, Sheng-gou Ding, Xiao-chang Gong, Xing-xing Yuan, Jia-fan Lin, Qi Chen, Jin-gao