BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Davey MG, Davey MS, Boland MR, Ryan ÉJ, Lowery AJ, Kerin MJ. Radiomic differentiation of breast cancer molecular subtypes using pre-operative breast imaging - A systematic review and meta-analysis. Eur J Radiol 2021;144:109996. [PMID: 34624649 DOI: 10.1016/j.ejrad.2021.109996] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Spadarella G, Stanzione A, Akinci D’antonoli T, Andreychenko A, Fanni SC, Ugga L, Kotter E, Cuocolo R. Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative. Eur Radiol 2022. [DOI: 10.1007/s00330-022-09187-3] [Reference Citation Analysis]
2 Ming W, Li F, Zhu Y, Bai Y, Gu W, Liu Y, Sun X, Liu X, Liu H. Predicting hormone receptors and PAM50 subtypes of breast cancer from multi-scale lesion images of DCE-MRI with transfer learning technique. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.106147] [Reference Citation Analysis]
3 Stanzione A, Verde F, Cuocolo R, Romeo V, Paolo Mainenti P, Brunetti A, Maurea S. Placenta Accreta Spectrum Disorders and Radiomics: Systematic review and quality appraisal. Eur J Radiol 2022;155:110497. [PMID: 36030661 DOI: 10.1016/j.ejrad.2022.110497] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Ming W, Zhu Y, Bai Y, Gu W, Li F, Hu Z, Xia T, Dai Z, Yu X, Li H, Gu Y, Yuan S, Zhang R, Li H, Zhu W, Ding J, Sun X, Liu Y, Liu H, Liu X. Radiogenomics analysis reveals the associations of dynamic contrast-enhanced–MRI features with gene expression characteristics, PAM50 subtypes, and prognosis of breast cancer. Front Oncol 2022;12:943326. [DOI: 10.3389/fonc.2022.943326] [Reference Citation Analysis]
5 Sha Y, Chen J. MRI-based radiomics for the diagnosis of triple-negative breast cancer: a meta-analysis. Clinical Radiology 2022. [DOI: 10.1016/j.crad.2022.04.015] [Reference Citation Analysis]
6 Wang F, Wang D, Xu Y, Jiang H, Liu Y, Zhang J. Potential of the Non-Contrast-Enhanced Chest CT Radiomics to Distinguish Molecular Subtypes of Breast Cancer: A Retrospective Study. Front Oncol 2022;12:848726. [PMID: 35387125 DOI: 10.3389/fonc.2022.848726] [Reference Citation Analysis]
7 Castaldo R, Garbino N, Cavaliere C, Incoronato M, Basso L, Cuocolo R, Pace L, Salvatore M, Franzese M, Nicolai E. A Complex Radiomic Signature in Luminal Breast Cancer from a Weighted Statistical Framework: A Pilot Study. Diagnostics 2022;12:499. [DOI: 10.3390/diagnostics12020499] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]