Enhancing the accuracy of respiratory-gated radiotherapy (RGRT) by using a hybrid deep-learning model to predict respiratory-induced organ motion Meeting Abstract


Authors: Milewski, A. R.; Nie, X. Y.; Li, G.
Abstract Title: Enhancing the accuracy of respiratory-gated radiotherapy (RGRT) by using a hybrid deep-learning model to predict respiratory-induced organ motion
Meeting Title: Annual Meeting of the European Society for Radiotherapy and Oncology (ESTRO 2025)
Keywords: respiratory-gated radiotherapy; adaptive learning
Journal Title: Radiotherapy and Oncology
Volume: 206
Issue: Suppl. 1
Meeting Dates: 2025 May 2-6
Meeting Location: Vienna, Austria
ISSN: 0167-8140
Publisher: Elsevier Inc.  
Date Published: 2025-05-01
Start Page: S3383
Language: English
ACCESSION: WOS:001521420300004
PROVIDER: wos
DOI: 10.1016/S0167-8140(25)00521-3
Notes: Meeting Abstract: 1546 -- Source: Wos
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  1. Guang Li
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