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For:	Cheng NM, Hsieh CE, Fang YD, Liao CT, Ng SH, Wang HM, Chou WC, Lin CY, Yen TC. Development and validation of a prognostic model incorporating [¹⁸F]FDG PET/CT radiomics for patients with minor salivary gland carcinoma. EJNMMI Res 2020;10:74. [PMID: 32632638 DOI: 10.1186/s13550-020-00631-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]

For:

Cheng NM, Hsieh CE, Fang YD, Liao CT, Ng SH, Wang HM, Chou WC, Lin CY, Yen TC. Development and validation of a prognostic model incorporating [¹⁸F]FDG PET/CT radiomics for patients with minor salivary gland carcinoma. EJNMMI Res 2020;10:74. [PMID: 32632638 DOI: 10.1186/s13550-020-00631-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]

Number	Citing Articles
1	Piñeiro-Fiel M, Moscoso A, Pubul V, Ruibal Á, Silva-Rodríguez J, Aguiar P. A Systematic Review of PET Textural Analysis and Radiomics in Cancer. Diagnostics (Basel) 2021;11:380. [PMID: 33672285 DOI: 10.3390/diagnostics11020380] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
2	Zhang MH, Hasse A, Carroll T, Pearson AT, Cipriani NA, Ginat DT. Differentiating low and high grade mucoepidermoid carcinoma of the salivary glands using CT radiomics. Gland Surg 2021;10:1646-54. [PMID: 34164309 DOI: 10.21037/gs-20-830] [Reference Citation Analysis]
3	Guo R, Hu X, Song H, Xu P, Xu H, Rominger A, Lin X, Menze B, Li B, Shi K. Weakly supervised deep learning for determining the prognostic value of ¹⁸F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type. Eur J Nucl Med Mol Imaging 2021;48:3151-61. [PMID: 33611614 DOI: 10.1007/s00259-021-05232-3] [Reference Citation Analysis]