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Page 1
Response Predictivity to Neoadjuvant Therapies in Breast Cancer: A Qualitative Analysis of Background Parenchymal Enhancement in DCE-MRI.
La Forgia D, Vestito A, Lasciarrea M, Comes MC, Diotaiuti S, Giotta F, Latorre A, Lorusso V, Massafra R, Palmiotti G, Rinaldi L, Signorile R, Gatta G, Fanizzi A. La Forgia D, et al. Among authors: diotaiuti s. J Pers Med. 2021 Apr 1;11(4):256. doi: 10.3390/jpm11040256. J Pers Med. 2021. PMID: 33915842 Free PMC article.
A machine learning ensemble approach for 5- and 10-year breast cancer invasive disease event classification.
Massafra R, Comes MC, Bove S, Didonna V, Diotaiuti S, Giotta F, Latorre A, La Forgia D, Nardone A, Pomarico D, Ressa CM, Rizzo A, Tamborra P, Zito A, Lorusso V, Fanizzi A. Massafra R, et al. Among authors: diotaiuti s. PLoS One. 2022 Sep 19;17(9):e0274691. doi: 10.1371/journal.pone.0274691. eCollection 2022. PLoS One. 2022. PMID: 36121822 Free PMC article.
Comment on 'Renewed interest in the progesterone receptor in breast cancer'.
Simone G, Diotaiuti S, Digennaro M, Sambiasi D, De Summa S, Tommasi S, Altieri R, Mangia A, Dantona C, Paradiso A. Simone G, et al. Among authors: diotaiuti s. Br J Cancer. 2017 Jul 11;117(2):e1. doi: 10.1038/bjc.2017.90. Epub 2017 Apr 11. Br J Cancer. 2017. PMID: 28399113 Free PMC article. No abstract available.
Analyzing breast cancer invasive disease event classification through explainable artificial intelligence.
Massafra R, Fanizzi A, Amoroso N, Bove S, Comes MC, Pomarico D, Didonna V, Diotaiuti S, Galati L, Giotta F, La Forgia D, Latorre A, Lombardi A, Nardone A, Pastena MI, Ressa CM, Rinaldi L, Tamborra P, Zito A, Paradiso AV, Bellotti R, Lorusso V. Massafra R, et al. Among authors: diotaiuti s. Front Med (Lausanne). 2023 Feb 2;10:1116354. doi: 10.3389/fmed.2023.1116354. eCollection 2023. Front Med (Lausanne). 2023. PMID: 36817766 Free PMC article.