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Cited by in F6Publishing
For: Borhani AA, Catania R, Velichko YS, Hectors S, Taouli B, Lewis S. Radiomics of hepatocellular carcinoma: promising roles in patient selection, prediction, and assessment of treatment response. Abdom Radiol (NY) 2021;46:3674-85. [PMID: 33891149 DOI: 10.1007/s00261-021-03085-w] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Tian Y, Komolafe TE, Zheng J, Zhou G, Chen T, Zhou B, Yang X. Assessing PD-L1 Expression Level via Preoperative MRI in HCC Based on Integrating Deep Learning and Radiomics Features. Diagnostics (Basel) 2021;11:1875. [PMID: 34679573 DOI: 10.3390/diagnostics11101875] [Reference Citation Analysis]
2 Granata V, Grassi R, Fusco R, Belli A, Cutolo C, Pradella S, Grazzini G, La Porta M, Brunese MC, De Muzio F, Ottaiano A, Avallone A, Izzo F, Petrillo A. Diagnostic evaluation and ablation treatments assessment in hepatocellular carcinoma. Infect Agent Cancer 2021;16:53. [PMID: 34281580 DOI: 10.1186/s13027-021-00393-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Brancato V, Garbino N, Salvatore M, Cavaliere C. MRI-Based Radiomic Features Help Identify Lesions and Predict Histopathological Grade of Hepatocellular Carcinoma. Diagnostics 2022;12:1085. [DOI: 10.3390/diagnostics12051085] [Reference Citation Analysis]
4 Sheng R, Zeng M, Jin K, Zhang Y, Wu D, Sun H. MRI-based Nomogram Predicts the Risk of Progression of Unresectable Hepatocellular Carcinoma After Combined Lenvatinib and anti-PD-1 Antibody Therapy. Acad Radiol 2021:S1076-6332(21)00417-7. [PMID: 34649778 DOI: 10.1016/j.acra.2021.09.004] [Reference Citation Analysis]
5 Kelahan LC, Kim D, Soliman M, Avery RJ, Savas H, Agrawal R, Magnetta M, Liu BP, Velichko YS. Role of hepatic metastatic lesion size on inter-reader reproducibility of CT-based radiomics features. Eur Radiol 2022. [PMID: 35080646 DOI: 10.1007/s00330-021-08526-0] [Reference Citation Analysis]