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Cited by in CrossRef
For: Tang YY, Zhao YN, Zhang T, Chen ZY, Ma XL. Comprehensive radiomics nomogram for predicting survival of patients with combined hepatocellular carcinoma and cholangiocarcinoma. World J Gastroenterol 2021; 27(41): 7173-7189 [PMID: 34887636 DOI: 10.3748/wjg.v27.i41.7173]
URL: https://www.wjgnet.com/2307-8960/full/v27/i41/7173.htm
Number Citing Articles
Zhenshan Shi, Chengle Ma, Xinming Huang, Dairong Cao. Magnetic Resonance Imaging Radiomics‐Based Nomogram From Primary Tumor for Pretreatment Prediction of Peripancreatic Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma: A Multicenter StudyJournal of Magnetic Resonance Imaging 2022; 55(3): 823 doi: 10.1002/jmri.28048
Jingwei Wei, Hanyu Jiang, Yu Zhou, Jie Tian, Felipe S. Furtado, Onofrio A. Catalano. Radiomics: A radiological evidence-based artificial intelligence technique to facilitate personalized precision medicine in hepatocellular carcinomaDigestive and Liver Disease 2023;  doi: 10.1016/j.dld.2022.12.015