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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
Robustness and Generalizability of Deep Learning Synthetic Computed Tomography for Positron Emission Tomography/Magnetic Resonance Imaging–Based Radiation Therapy Planning of Patients With Head and Neck Cancer - Advances in Radiation Oncology
Frontiers Clinical Enhancement in AI-Based Post-processed Fast-Scan Low-Dose CBCT for Head and Neck Adaptive Radiotherapy
Frontiers A more effective CT synthesizer using transformers for cone-beam CT-guided adaptive radiotherapy
Improving CBCT image quality to the CT level using RegGAN in esophageal cancer adaptive radiotherapy
Synthetic CT Generation In Raystation - IPEM
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
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
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