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Cited by in F6Publishing
For: Chen ZW, Xiao HM, Ye X, Liu K, Rios RS, Zheng KI, Jin Y, Targher G, Byrne CD, Shi J, Yan Z, Chi XL, Zheng MH. A novel radiomics signature based on T2-weighted imaging accurately predicts hepatic inflammation in individuals with biopsy-proven nonalcoholic fatty liver disease: a derivation and independent validation study. Hepatobiliary Surg Nutr 2022;11:212-26. [PMID: 35464279 DOI: 10.21037/hbsn-21-23] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Bao J, Feng X, Ma Y, Wang Y, Qi J, Qin C, Tan X, Tian Y. The latest application progress of radiomics in prediction and diagnosis of liver diseases. Expert Rev Gastroenterol Hepatol 2022;:1-13. [PMID: 35880549 DOI: 10.1080/17474124.2022.2104711] [Reference Citation Analysis]
2 Song Y, Li Y. Radiomics May Be a New Opportunity for Bariatric Surgery. Obes Surg 2022. [PMID: 35729444 DOI: 10.1007/s11695-022-06159-w] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]