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Cited by in F6Publishing
For: Qin H, Hu X, Zhang J, Dai H, He Y, Zhao Z, Yang J, Xu Z, Hu X, Chen Z. Machine-learning radiomics to predict early recurrence in perihilar cholangiocarcinoma after curative resection. Liver Int 2021;41:837-50. [PMID: 33306240 DOI: 10.1111/liv.14763] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Zhan P, Lyu P, Li Z, Liu X, Wang H, Liu N, Zhang Y, Huang W, Chen Y, Gao J. CT-Based Radiomics Analysis for Noninvasive Prediction of Perineural Invasion of Perihilar Cholangiocarcinoma. Front Oncol 2022;12:900478. [DOI: 10.3389/fonc.2022.900478] [Reference Citation Analysis]
2 Granata V, Fusco R, Belli A, Borzillo V, Palumbo P, Bruno F, Grassi R, Ottaiano A, Nasti G, Pilone V, Petrillo A, Izzo F. Conventional, functional and radiomics assessment for intrahepatic cholangiocarcinoma. Infect Agents Cancer 2022;17. [DOI: 10.1186/s13027-022-00429-z] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 4.0] [Reference Citation Analysis]
3 Fiz F, Jayakody Arachchige VS, Gionso M, Pecorella I, Selvam A, Wheeler DR, Sollini M, Viganò L. Radiomics of Biliary Tumors: A Systematic Review of Current Evidence. Diagnostics (Basel) 2022;12:826. [PMID: 35453878 DOI: 10.3390/diagnostics12040826] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Granata V, Fusco R, Setola SV, Simonetti I, Cozzi D, Grazzini G, Grassi F, Belli A, Miele V, Izzo F, Petrillo A. An update on radiomics techniques in primary liver cancers. Infect Agent Cancer 2022;17:6. [PMID: 35246207 DOI: 10.1186/s13027-022-00422-6] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Wang H, Fan T, Yang B, Lin Q, Li W, Yang M. Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting the Risk of Surgical Site Infection Following Minimally Invasive Transforaminal Lumbar Interbody Fusion. Front Med (Lausanne) 2021;8:771608. [PMID: 34988091 DOI: 10.3389/fmed.2021.771608] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Horvat N, Miranda J, El Homsi M, Peoples JJ, Long NM, Simpson AL, Do RKG. A primer on texture analysis in abdominal radiology. Abdom Radiol (NY) 2021. [PMID: 34825946 DOI: 10.1007/s00261-021-03359-3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Clinton JW, Kiparizoska S, Aggarwal S, Woo S, Davis W, Lewis JH. Drug-Induced Liver Injury: Highlights and Controversies in the Recent Literature. Drug Saf 2021;44:1125-49. [PMID: 34533782 DOI: 10.1007/s40264-021-01109-4] [Reference Citation Analysis]
8 Zhao J, Zhang W, Zhu YY, Zheng HY, Xu L, Zhang J, Liu SY, Li FY, Song B. Development and Validation of Noninvasive MRI-Based Signature for Preoperative Prediction of Early Recurrence in Perihilar Cholangiocarcinoma. J Magn Reson Imaging 2021. [PMID: 34296802 DOI: 10.1002/jmri.27846] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
9 Chen X, Li W, Wang F, He L, Liu E. Early recognition of necrotizing pneumonia in children based on non-contrast-enhanced computed tomography radiomics signatures. Transl Pediatr 2021;10:1542-51. [PMID: 34295769 DOI: 10.21037/tp-20-241] [Reference Citation Analysis]
10 Raghav PK, Kalyanaraman K, Kumar D. Human cell receptors: potential drug targets to combat COVID-19. Amino Acids 2021;53:813-42. [PMID: 33950300 DOI: 10.1007/s00726-021-02991-z] [Cited by in F6Publishing: 1] [Reference Citation Analysis]