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Cited by in F6Publishing
For: Moffa G, Galati F, Collalunga E, Rizzo V, Kripa E, D'Amati G, Pediconi F. Can MRI Biomarkers Predict Triple-Negative Breast Cancer? Diagnostics (Basel) 2020;10:E1090. [PMID: 33333733 DOI: 10.3390/diagnostics10121090] [Cited by in Crossref: 14] [Cited by in F6Publishing: 15] [Article Influence: 4.7] [Reference Citation Analysis]
Number Citing Articles
1 Galati F, Magri V, Moffa G, Rizzo V, Botticelli A, Cortesi E, Pediconi F. Precision Medicine in Breast Cancer: Do MRI Biomarkers Identify Patients Who Truly Benefit from the Oncotype DX Recurrence Score® Test? Diagnostics 2022;12:2730. [DOI: 10.3390/diagnostics12112730] [Reference Citation Analysis]
2 El-rawy AS, Abdallah HY, Suliman MA, Habba MR, Gad AA. Magnetic resonance imaging correlation with molecular and epigenetic markers in assessment of breast cancer. Egypt J Radiol Nucl Med 2022;53:211. [DOI: 10.1186/s43055-022-00901-1] [Reference Citation Analysis]
3 Guo Y, Huang Y, Wang Y, Huang J, Lai Q, Li Y, Deng XF. Breast MRI Tumor Automatic Segmentation and Triple-Negative Breast Cancer Discrimination Algorithm Based on Deep Learning. Computational and Mathematical Methods in Medicine 2022;2022:1-9. [DOI: 10.1155/2022/2541358] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Dietzel M, Trimboli RM, Zanardo M, Schultz-wendtland R, Uder M, Clauser P, Sardanelli F, Baltzer PAT. The potential of predictive and prognostic breast MRI (P2-bMRI). Eur Radiol Exp 2022;6. [DOI: 10.1186/s41747-022-00291-z] [Reference Citation Analysis]
5 Rabinovici-cohen S, Fernández XM, Grandal Rejo B, Hexter E, Hijano Cubelos O, Pajula J, Pölönen H, Reyal F, Rosen-zvi M. Multimodal Prediction of Five-Year Breast Cancer Recurrence in Women Who Receive Neoadjuvant Chemotherapy. Cancers 2022;14:3848. [DOI: 10.3390/cancers14163848] [Reference Citation Analysis]
6 Galati F, Rizzo V, Moffa G, Caramanico C, Kripa E, Cerbelli B, D’amati G, Pediconi F. Radiologic-pathologic correlation in breast cancer: do MRI biomarkers correlate with pathologic features and molecular subtypes? Eur Radiol Exp 2022;6. [DOI: 10.1186/s41747-022-00289-7] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
7 Catalano A, Iacopetta D, Ceramella J, Mariconda A, Rosano C, Scumaci D, Saturnino C, Longo P, Sinicropi MS. New Achievements for the Treatment of Triple-Negative Breast Cancer. Applied Sciences 2022;12:5554. [DOI: 10.3390/app12115554] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
8 陈 行. Research Progress of Magnetic Resonance Imaging in Prognostic Indicators of Breast Cancer. ACM 2022;12:246-251. [DOI: 10.12677/acm.2022.121037] [Reference Citation Analysis]
9 Galati F, Trimboli RM, Pediconi F. Special Issue "Advances in Breast MRI". Diagnostics (Basel) 2021;11:2297. [PMID: 34943534 DOI: 10.3390/diagnostics11122297] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
10 Galati F, Moffa G, Pediconi F. Breast imaging: Beyond the detection. Eur J Radiol 2022;146:110051. [PMID: 34864426 DOI: 10.1016/j.ejrad.2021.110051] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
11 Rizzo V, Moffa G, Kripa E, Caramanico C, Pediconi F, Galati F. Preoperative Staging in Breast Cancer: Intraindividual Comparison of Unenhanced MRI Combined With Digital Breast Tomosynthesis and Dynamic Contrast Enhanced-MRI. Front Oncol 2021;11:661945. [PMID: 34017683 DOI: 10.3389/fonc.2021.661945] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
12 Hajjo R, Sabbah DA, Bardaweel SK, Tropsha A. Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML). Diagnostics (Basel) 2021;11:742. [PMID: 33919342 DOI: 10.3390/diagnostics11050742] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]