A Prospective Study of Machine Learning-Assisted Radiation Therapy Planning for Patients Receiving 54 Gy to the Brain-Reference-Cited by-同舟云学术

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A Prospective Study of Machine Learning-Assisted Radiation Therapy Planning for Patients Receiving 54 Gy to the Brain

Published:2024-08 Issue:5 Volume:119 Page:1429-1436
ISSN:0360-3016
Container-title:International Journal of Radiation Oncology*Biology*Physics
language:en
Short-container-title:International Journal of Radiation Oncology*Biology*Physics

Author:

Tsang Derek S.^ORCID,Tsui Grace,Santiago Anna T.,Keller Harald,Purdie Thomas,Mcintosh Chris,Bauman Glenn,La Macchia Nancy,Parent Amy,Dama Hitesh,Ahmed Sameera,Laperriere Normand,Millar Barbara-Ann,Liu Valerie,Hodgson David C.

Funder

University Health Network

Publisher

Elsevier BV

Reference22 articles.

1. Intellectual changes after radiation for children with brain tumors: Which brain structures are most important?;Tsang;Neuro Oncol,2021

2. Association between hippocampal dose and memory in survivors of childhood or adolescent low-grade glioma: A 10-year neurocognitive longitudinal study;Acharya;Neuro Oncol,2019

3. Pediatric Radiation Oncology;Halperin,2012

4. Hearing loss after radiation and chemotherapy for CNS and head-and-neck tumors in children;Keilty;J Clin Oncol,2021

5. Endocrine deficiency as a function of radiation dose to the hypothalamus and pituitary in pediatric and young adult patients with brain tumors;Vatner;J Clin Oncol,2018

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