cinebendis.com

Synthetic CT generation from cone-beam CT using deep-learning for breast adaptive radiotherapy - ScienceDirect

4.9 (241) · € 12.00 · En stock

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

Cancers, Free Full-Text