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Cited by in F6Publishing
For: Zhao L, Liang M, Xie L, Yang Y, Zhang H, Zhao X. Prediction of pathological prognostic factors of rectal cancer by relaxation maps from synthetic magnetic resonance imaging. Eur J Radiol 2021;138:109658. [PMID: 33744506 DOI: 10.1016/j.ejrad.2021.109658] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 García-figueiras R, Baleato-gonzález S, Canedo-antelo M, Alcalá L, Marhuenda A. Imaging Advances on CT and MRI in Colorectal Cancer. Curr Colorectal Cancer Rep 2021;17:113-30. [DOI: 10.1007/s11888-021-00468-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Konar AS, Paudyal R, Shah AD, Fung M, Banerjee S, Dave A, Lee N, Hatzoglou V, Shukla-Dave A. Qualitative and Quantitative Performance of Magnetic Resonance Image Compilation (MAGiC) Method: An Exploratory Analysis for Head and Neck Imaging. Cancers (Basel) 2022;14:3624. [PMID: 35892883 DOI: 10.3390/cancers14153624] [Reference Citation Analysis]
3 Zhao L, Liang M, Wu PY, Yang Y, Zhang H, Zhao X. A preliminary study of synthetic magnetic resonance imaging in rectal cancer: imaging quality and preoperative assessment. Insights Imaging 2021;12:120. [PMID: 34420097 DOI: 10.1186/s13244-021-01063-w] [Reference Citation Analysis]
4 Zhu K, Chen Z, Cui L, Zhao J, Liu Y, Cao J. The Preoperative Diagnostic Performance of Multi-Parametric Quantitative Assessment in Rectal Carcinoma: A Preliminary Study Using Synthetic Magnetic Resonance Imaging. Front Oncol 2022;12:682003. [PMID: 35707367 DOI: 10.3389/fonc.2022.682003] [Reference Citation Analysis]