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Cited by in F6Publishing
For: Huh YJ, Kim DH, Kim B, Choi JI, Rha SE. Per-Feature Accuracy of Liver Imaging Reporting and Data System Locoregional Treatment Response Algorithm: A Systematic Review and Meta-Analysis. Cancers (Basel) 2021;13:4432. [PMID: 34503241 DOI: 10.3390/cancers13174432] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Patel R, Aslam A, Parikh ND, Mervak B, Mubarak E, Higgins L, Lala K, Conner JF, Khaykin V, Bashir M, Do RKG, Burke LMB, Smith EN, Kim CY, Shampain KL, Owen D, Mendiratta-Lala M. Updates on LI-RADS Treatment Response Criteria for Hepatocellular Carcinoma: Focusing on MRI. J Magn Reson Imaging 2023. [PMID: 36872608 DOI: 10.1002/jmri.28659] [Reference Citation Analysis]
2 Kim DH, Kim B, Choi J, Oh SN, Rha SE. LI-RADS Treatment Response versus Modified RECIST for Diagnosing Viable Hepatocellular Carcinoma after Locoregional Therapy: A Systematic Review and Meta-Analysis of Comparative Studies. J Korean Soc Radiol 2022;83:331. [DOI: 10.3348/jksr.2021.0173] [Reference Citation Analysis]
3 Chen L, Tang C, Xu M, Lei Z. Enhancement and denoising method for low-quality MRI, CT images via the sequence decomposition Retinex model, and haze removal algorithm. Med Biol Eng Comput 2021;59:2433-48. [PMID: 34661856 DOI: 10.1007/s11517-021-02451-6] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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