Minimum imaging dose for deep learning-based pelvic synthetic computed tomography generation from cone beam images-Reference-Cited by-同舟云学术

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Minimum imaging dose for deep learning-based pelvic synthetic computed tomography generation from cone beam images

Published:2024-04 Issue: Volume:30 Page:100569
ISSN:2405-6316
Container-title:Physics and Imaging in Radiation Oncology
language:en
Short-container-title:Physics and Imaging in Radiation Oncology

Author:

Chan Yan Chi Ivy,Li Minglun,Thummerer Adrian,Parodi Katia,Belka Claus,Kurz Christopher,Landry Guillaume

Funder

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Reference38 articles.

1. Feasibility of cone beam CT-based online adaptive radiotherapy for neoadjuvant treatment of rectal cancer;de Jong;Radiat Oncol J,2021

2. Clinical implementation of artificial intelligence-driven cone-beam computed tomography-guided online adaptive radiotherapy in the pelvic region;Sibolt;Phys Imaging Radiat Oncol,2021

3. Prospects for daily online adaptive radiotherapy via ethos for prostate cancer patients without nodal involvement using unedited CBCT auto-segmentation;Moazzezi;J Appl Clin Med Phys,2021

4. Varian ethos online adaptive radiotherapy for prostate cancer: early results of contouring accuracy, treatment plan quality, and treatment time;Byrne;J Appl Clin Med Phys,2022

5. Imaging dose from cone beam computed tomography in radiation therapy;Alaei;Phys Med,2015

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