CT artifact correction for sparse and truncated projection data using generative adversarial networks-Reference-Cited by-同舟云学术

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CT artifact correction for sparse and truncated projection data using generative adversarial networks

Published:2020-12-30 Issue:2 Volume:48 Page:615-626
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Podgorsak Alexander R¹²³,Shiraz Bhurwani Mohammad Mahdi¹³,Ionita Ciprian N¹²³

Affiliation:

1. Canon Stroke and Vascular Research Center 875 Ellicott Street Buffalo NY14203USA

2. Medical Physics Program State University of New York at Buffalo 955 Main Street Buffalo NY14203USA

3. Department of Biomedical Engineering State University of New York at Buffalo 200 Lee Road Buffalo NY14228USA

Funder

James H. Cummings Foundation

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14504

Reference45 articles.

1. Slowing the Increase in the Population Dose Resulting from CT Scans

2. NCRP REPORT NO. 160, IONIZING RADIATION EXPOSURE OF THE POPULATION OF THE UNITED STATES, MEDICAL EXPOSURE—ARE WE DOING LESS WITH MORE, AND IS THERE A ROLE FOR HEALTH PHYSICISTS?

3. Carcinogenesis induced by low-dose radiation

4. Image Wisely: A Campaign to Increase Awareness about Adult Radiation Protection

5. The Image Gently Campaign: Working Together to Change Practice

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