For: | Park SB. Advances in deep learning for computed tomography denoising. World J Clin Cases 2021; 9(26): 7614-7619 [PMID: 34621813 DOI: 10.12998/wjcc.v9.i26.7614] |
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URL: | https://www.wjgnet.com/2307-8960/full/v9/i26/7614.htm |
Number | Citing Articles |
1 |
Gyeong Deok Jo, Chulkyun Ahn, Jung Hee Hong, Da Som Kim, Jongsoo Park, Hyungjin Kim, Jong Hyo Kim, Jin Mo Goo, Ju Gang Nam. 75% radiation dose reduction using deep learning reconstruction on low-dose chest CT. BMC Medical Imaging 2023; 23(1) doi: 10.1186/s12880-023-01081-8
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2 |
Hongchi Chen, Qiuxia Li, Lazhen Zhou, Fangzuo Li. Deep learning-based algorithms for low-dose CT imaging: A review. European Journal of Radiology 2024; 172: 111355 doi: 10.1016/j.ejrad.2024.111355
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3 |
Rabeya Tus Sadia, Jin Chen, Jie Zhang. CT image denoising methods for image quality improvement and radiation dose reduction. Journal of Applied Clinical Medical Physics 2024; 25(2) doi: 10.1002/acm2.14270
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