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Frontiers A Deep Unsupervised Learning Model for Artifact Correction of Pelvis Cone-Beam CT
UMC Utrecht Debuts Elekta CBCT Linac for Adaptive Radiotherapy
Evaluation of a cycle-generative adversarial network-based cone-beam CT to synthetic CT conversion algorithm for adaptive radiation therapy - ScienceDirect
Evaluating AI-generated CBCT-based synthetic CT images for target delineation in palliative treatments of pelvic bone metastasis at conventional C-arm linacs - ScienceDirect
PDF) Deep learning based synthetic-CT generation in radiotherapy and PET: A review
A single neural network for cone-beam computed tomography-based radiotherapy of head-and-neck, lung and breast cancer - ScienceDirect
A single neural network for cone-beam computed tomography-based radiotherapy of head-and-neck, lung and breast cancer - ScienceDirect
Generating synthetic images from cone beam computed tomography using self-attention residual UNet for head and neck radiotherapy - ScienceDirect
Frontiers Incorporating the synthetic CT image for improving the performance of deformable image registration between planning CT and cone-beam CT
Synthetic CT generation from cone-beam CT using deep-learning for breast adaptive radiotherapy - ScienceDirect
CBCT-guided Adaptive Radiotherapy
Cancers, Free Full-Text
Leveraging GAN-based CBCT-to-CT translation models for enhanced image quality and accurate photon and proton dose calculation in adaptive radiotherapy - ScienceDirect