A review on medical imaging synthesis using deep learning and its clinical applications-Reference-Cited by-同舟云学术

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A review on medical imaging synthesis using deep learning and its clinical applications

Published:2020-12-11 Issue:1 Volume:22 Page:11-36
ISSN:1526-9914
Container-title:Journal of Applied Clinical Medical Physics
language:en
Short-container-title:J Appl Clin Med Phys

Author:

Wang Tonghe¹²,Lei Yang¹,Fu Yabo¹,Wynne Jacob F.¹,Curran Walter J.¹²,Liu Tian¹²,Yang Xiaofeng¹²

Affiliation:

1. Department of Radiation Oncology Emory University Atlanta GA USA

2. Winship Cancer Institute Emory University Atlanta GA USA

Funder

National Cancer Institute

National Institutes of Health

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.13121

Reference183 articles.

1. Systematic Review of Synthetic Computed Tomography Generation Methodologies for Use in Magnetic Resonance Imaging–Only Radiation Therapy

2. Dosimetric study on learning-based cone-beam CT correction in adaptive radiation therapy

3. MRI-based treatment planning for brain stereotactic radiosurgery: Dosimetric validation of a learning-based pseudo-CT generation method

4. MRI-based attenuation correction for brain PET/MRI based on anatomic signature and machine learning

5. Medical Image Synthesis via Deep Learning

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