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Cited by in F6Publishing
For: Zhang S, Xu R, Shang S, Han Y, Liu S, Xu T, Gu C, Zhu X, Niu G, Wan M. In vivo monitoring of microwave ablation in a porcine model using ultrasonic differential attenuation coefficient intercept imaging. International Journal of Hyperthermia 2018;34:1157-70. [DOI: 10.1080/02656736.2018.1437477] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [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 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]
3 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]
4 Zhou Z, Wang Y, Song S, Wu W, Wu S, Tsui PH. Monitoring Microwave Ablation Using Ultrasound Echo Decorrelation Imaging: An ex vivo Study. Sensors (Basel) 2019;19:E977. [PMID: 30823609 DOI: 10.3390/s19040977] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 4.3] [Reference Citation Analysis]