Deep learning-based synthetic CT generation for paediatric brain MR-only photon and proton radiotherapy-Reference-Cited by-同舟云学术

Deep learning-based synthetic CT generation for paediatric brain MR-only photon and proton radiotherapy

Published:2020-12 Issue: Volume:153 Page:197-204
ISSN:0167-8140
Container-title:Radiotherapy and Oncology
language:en
Short-container-title:Radiotherapy and Oncology

Author:

Maspero Matteo,Bentvelzen Laura G.,Savenije Mark H.F.,Guerreiro Filipa,Seravalli Enrica,Janssens Geert O.,van den Berg Cornelis A.T.,Philippens Marielle E.P.

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Oncology,Hematology

Reference53 articles.

1. Pediatric radiation oncology;Constine,2016

2. Pediatric radiation oncology;Merchant,2018

3. Howlader N, Noone A, Krapcho M, Miller D, Brest A, Yu M, Ruhl J, Tatalovich Z, Mariotto A, Lewis D, Chen H, EJ F, KA C. Seer cancer statistics review, Medical physics 1975-2017. URL: https://seer.cancer.gov/csr/1975_2017/.

4. Molecular characteristics and therapeutic vulnerabilities across paediatric solid tumours;Jones;Nat Rev Cancer,2019

5. Pediatric radiotherapy planning and treatment;Olch,2013

Cited by 69 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report;Medical Image Analysis;2024-10

2. Challenges and opportunities in the development and clinical implementation of artificial intelligence based synthetic computed tomography for magnetic resonance only radiotherapy;Radiotherapy and Oncology;2024-09

3. The emerging role of Artificial Intelligence in proton therapy: a review;Critical Reviews in Oncology/Hematology;2024-09

4. A unified generation‐registration framework for improved MR‐based CT synthesis in proton therapy;Medical Physics;2024-08-13

5. Applications of Artificial Intelligence for Pediatric Cancer Imaging;American Journal of Roentgenology;2024-08