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Cited by in F6Publishing
For: Mori N, Abe H, Mugikura S, Miyashita M, Mori Y, Oguma Y, Hirasawa M, Sato S, Takase K. Discriminating low-grade ductal carcinoma in situ (DCIS) from non-low-grade DCIS or DCIS upgraded to invasive carcinoma: effective texture features on ultrafast dynamic contrast-enhanced magnetic resonance imaging. Breast Cancer 2021;28:1141-53. [PMID: 33900583 DOI: 10.1007/s12282-021-01257-6] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Hong M, Fan S, Yu Z, Gao C, Fang Z, Du L, Wang S, Chen X, Xu M, Zhou C. Evaluating Upstaging in Ductal Carcinoma In Situ Using Preoperative MRI‐Based Radiomics. Magnetic Resonance Imaging 2022. [DOI: 10.1002/jmri.28539] [Reference Citation Analysis]
2 Lee H, Park JH, Nguyen A, Do L, Park MH, Lee JS, Park I, Lim HS. Prediction of the histologic upgrade of ductal carcinoma in situ using a combined radiomics and machine learning approach based on breast dynamic contrast-enhanced magnetic resonance imaging. Front Oncol 2022;12. [DOI: 10.3389/fonc.2022.1032809] [Reference Citation Analysis]
3 Mori N, Mugikura S, Endo T, Endo H, Oguma Y, Li L, Ito A, Watanabe M, Kanamori M, Tominaga T, Takase K. Principal component analysis of texture features for grading of meningioma: not effective from the peritumoral area but effective from the tumor area. Neuroradiology 2022. [PMID: 36044063 DOI: 10.1007/s00234-022-03045-1] [Reference Citation Analysis]
4 Ren H, Mori N, Mugikura S, Takase K. Grading of placental accrete spectrum using texture analysis of magnetic resonance imaging. Clinical Imaging 2022;85:8-9. [DOI: 10.1016/j.clinimag.2022.02.018] [Reference Citation Analysis]
5 Kataoka M, Honda M, Ohashi A, Yamaguchi K, Mori N, Goto M, Fujioka T, Mori M, Kato Y, Satake H, Iima M, Kubota K. Ultrafast Dynamic Contrast-enhanced MRI of the Breast: How Is It Used? MRMS. [DOI: 10.2463/mrms.rev.2021-0157] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Ren H, Mori N, Mugikura S, Shimizu H, Kageyama S, Saito M, Takase K. Prediction of placenta accreta spectrum using texture analysis on coronal and sagittal T2-weighted imaging. Abdom Radiol (NY) 2021;46:5344-52. [PMID: 34331104 DOI: 10.1007/s00261-021-03226-1] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 7.0] [Reference Citation Analysis]