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MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer.
Bitencourt AGV, Gibbs P, Rossi Saccarelli C, Daimiel I, Lo Gullo R, Fox MJ, Thakur S, Pinker K, Morris EA, Morrow M, Jochelson MS. Bitencourt AGV, et al. Among authors: fox mj. EBioMedicine. 2020 Nov;61:103042. doi: 10.1016/j.ebiom.2020.103042. Epub 2020 Oct 8. EBioMedicine. 2020. PMID: 33039708 Free PMC article.
Dynamics in atomic signaling games.
Fox MJ, Touri B, Shamma JS. Fox MJ, et al. J Theor Biol. 2015 Jul 7;376:82-90. doi: 10.1016/j.jtbi.2015.03.038. Epub 2015 Apr 8. J Theor Biol. 2015. PMID: 25863268
Diagnostic value of radiomics and machine learning with dynamic contrast-enhanced magnetic resonance imaging for patients with atypical ductal hyperplasia in predicting malignant upgrade.
Lo Gullo R, Vincenti K, Rossi Saccarelli C, Gibbs P, Fox MJ, Daimiel I, Martinez DF, Jochelson MS, Morris EA, Reiner JS, Pinker K. Lo Gullo R, et al. Among authors: fox mj. Breast Cancer Res Treat. 2021 Jun;187(2):535-545. doi: 10.1007/s10549-020-06074-7. Epub 2021 Jan 20. Breast Cancer Res Treat. 2021. PMID: 33471237 Free PMC article.