MRI‐only based synthetic CT generation using dense cycle consistent generative adversarial networks-Reference-Cited by-同舟云学术

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MRI‐only based synthetic CT generation using dense cycle consistent generative adversarial networks

Published:2019-06-12 Issue:8 Volume:46 Page:3565-3581
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Lei Yang¹,Harms Joseph¹,Wang Tonghe¹,Liu Yingzi¹,Shu Hui‐Kuo¹,Jani Ashesh B.¹,Curran Walter J.¹,Mao Hui²,Liu Tian¹,Yang Xiaofeng¹

Affiliation:

1. Department of Radiation Oncology and Winship Cancer Institute Emory University Atlanta GA 30322USA

2. Department of Radiology and Imaging Sciences and Winship Cancer Institute Emory University Atlanta GA 30322USA

Funder

National Cancer Institute

National Institutes of Health

U.S. Department of Defense

Emory University

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13617

Reference54 articles.

1. Tumor delineation: The weakest link in the search for accuracy in radiotherapy

2. MRI simulation for radiotherapy treatment planning

3. Radiotherapy planning using MRI

4. Functional MRI for radiotherapy dose painting

5. MRI-only brain radiotherapy: Assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach

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