| 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 |
Baiming Wu, Jin Cui, Yan Lei, Meiqi Wan, Zhixi Luo, Yunxuan Xie, Jinran Chen, Enming Cui. Deep learning image reconstruction improves visualization of arterial phase hyperenhancement and washout appearance on dual-energy CT for hepatocellular carcinoma: a non-inferiority study. Abdominal Radiology 2026; doi: 10.1007/s00261-026-05707-7
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| 2 |
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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| 3 |
Gabriel Szydlo Shein, Serban C. Tudosie, Stefan M. Jensen, Ronit Brodie, Sylvain Lecler, Michele Diana, Yoav Mintz. Artificial intelligence in medicine: a clinician-oriented guide and operational framework to evaluate new AI devices. Minimally Invasive Therapy & Allied Technologies 2026; doi: 10.1080/13645706.2026.2703160
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| 4 |
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 doi: 10.1016/j.ejrad.2024.111355
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| 5 |
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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| 6 |
Vicky Subhash Telang, Monika Khatri, Mohd. Nadeem, Shubham Telang, Bhupesh Sarode. Bioprinting. 2026; doi: 10.1515/9783111719993-003
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