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For: Naganawa S, Kim J, Yip SSF, Ota Y, Srinivasan A, Moritani T. Texture analysis of T2-weighted MRI predicts SDH mutation in paraganglioma. Neuroradiology 2021;63:547-54. [PMID: 33215243 DOI: 10.1007/s00234-020-02607-5] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
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1 Yueying C, Jing F, Qi F, Jun S. Infliximab response associates with radiologic findings in bio-naïve Crohn's disease. Eur Radiol 2023. [PMID: 36928565 DOI: 10.1007/s00330-023-09542-y] [Reference Citation Analysis]
2 Yu X, Gao L, Zhang S, Sun C, Zhang J, Kang B, Wang X. Development and validation of A CT-based radiomics nomogram for prediction of synchronous distant metastasis in clear cell renal cell carcinoma. Front Oncol 2022;12:1016583. [PMID: 36686790 DOI: 10.3389/fonc.2022.1016583] [Reference Citation Analysis]
3 Cui Z, Ren G, Cai R, Wu C, Shi H, Wang X, Zhu M. MRI-based texture analysis for differentiate between pediatric posterior fossa ependymoma type A and B. European Journal of Radiology 2022. [DOI: 10.1016/j.ejrad.2022.110288] [Reference Citation Analysis]
4 Fan Z, Wu C, Wesemann L, Ouchi E, Bautista M, Qiu J, Xu J, Zhou Y, Wu L. Predictive value of major adverse cardiac events by T2-mapping texture analysis of the myocardial remote zone in patients with acute myocardial infarction. Clinical Radiology 2022. [DOI: 10.1016/j.crad.2021.12.015] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Abdel Razek AAK, Khaled R, Helmy E, Naglah A, AbdelKhalek A, El-Baz A. Artificial Intelligence and Deep Learning of Head and Neck Cancer. Magn Reson Imaging Clin N Am 2022;30:81-94. [PMID: 34802583 DOI: 10.1016/j.mric.2021.06.016] [Reference Citation Analysis]