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For: Saint Martin MJ, Orlhac F, Akl P, Khalid F, Nioche C, Buvat I, Malhaire C, Frouin F. A radiomics pipeline dedicated to Breast MRI: validation on a multi-scanner phantom study. MAGMA 2021;34:355-66. [PMID: 33180226 DOI: 10.1007/s10334-020-00892-y] [Cited by in Crossref: 2] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Chitalia R, Pati S, Bhalerao M, Thakur SP, Jahani N, Belenky V, Mcdonald ES, Gibbs J, Newitt DC, Hylton NM, Kontos D, Bakas S. Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1. Sci Data 2022;9. [DOI: 10.1038/s41597-022-01555-4] [Reference Citation Analysis]
2 Rahimpour M, Saint Martin MJ, Frouin F, Akl P, Orlhac F, Koole M, Malhaire C. Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI. Eur Radiol 2022. [PMID: 36074262 DOI: 10.1007/s00330-022-09113-7] [Reference Citation Analysis]
3 Granzier RWY, Ibrahim A, Primakov S, Keek SA, Halilaj I, Zwanenburg A, Engelen SME, Lobbes MBI, Lambin P, Woodruff HC, Smidt ML. Test-Retest Data for the Assessment of Breast MRI Radiomic Feature Repeatability. J Magn Reson Imaging 2021. [PMID: 34936160 DOI: 10.1002/jmri.28027] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Li Y, Ammari S, Balleyguier C, Lassau N, Chouzenoux E. Impact of Preprocessing and Harmonization Methods on the Removal of Scanner Effects in Brain MRI Radiomic Features. Cancers (Basel) 2021;13:3000. [PMID: 34203896 DOI: 10.3390/cancers13123000] [Cited by in F6Publishing: 6] [Reference Citation Analysis]
5 Grimm LJ. Radiomics: A Primer for Breast Radiologists. Journal of Breast Imaging 2021;3:276-87. [DOI: 10.1093/jbi/wbab014] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]