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Cited by in F6Publishing
For: Song S, Tsui PH, Wu W, Wu S, Zhou Z. Monitoring microwave ablation using ultrasound homodyned K imaging based on the noise-assisted correlation algorithm: An ex vivo study. Ultrasonics 2021;110:106287. [PMID: 33091652 DOI: 10.1016/j.ultras.2020.106287] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Li S, Zhou Z, Wu S, Wu W. A Review of Quantitative Ultrasound-Based Approaches to Thermometry and Ablation Zone Identification Over the Past Decade. Ultrason Imaging 2022;:1617346221120069. [PMID: 35993226 DOI: 10.1177/01617346221120069] [Reference Citation Analysis]
2 Byra M, Klimonda Z, Kruglenko E, Gambin B. Unsupervised deep learning based approach to temperature monitoring in focused ultrasound treatment. Ultrasonics 2022;122:106689. [DOI: 10.1016/j.ultras.2022.106689] [Reference Citation Analysis]
3 Li S, Tsui P, Song S, Wu W, Zhou Z, Wu S. Detection of microwave ablation coagulation areas using ultrasound Nakagami imaging based on Gaussian pyramid decomposition: a feasibility study. Ultrasonics 2022. [DOI: 10.1016/j.ultras.2022.106758] [Reference Citation Analysis]