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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
CBCT-guided Adaptive Radiotherapy
PDF) Deep learning based synthetic-CT generation in radiotherapy and PET: A review
Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy, Radiation Oncology
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
Cancers, Free Full-Text
Cancers, Free Full-Text
Improving CBCT image quality to the CT level using RegGAN in esophageal cancer adaptive radiotherapy
Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy, Radiation Oncology
Frontiers Quality assurance for MRI-only radiation therapy: A voxel-wise population-based methodology for image and dose assessment of synthetic CT generation methods
Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy, Radiation Oncology
Leveraging GAN-based CBCT-to-CT translation models for enhanced image quality and accurate photon and proton dose calculation in adaptive radiotherapy - ScienceDirect
Cone Beam CT (CBCT) Based Synthetic CT Generation Using Deep Learning Methods for Dose Calculation of Nasopharyngeal Carcinoma Radiotherapy - Xudong Xue, Yi Ding, Jun Shi, Xiaoyu Hao, Xiangbin Li, Dan Li