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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2018 4
2019 5
2020 7
2021 14
2022 9
2023 11
2024 2

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50 results

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Page 1
Explainable 3D CNN based on baseline breast DCE-MRI to give an early prediction of pathological complete response to neoadjuvant chemotherapy.
Comes MC, Fanizzi A, Bove S, Didonna V, Diotiaiuti S, Fadda F, La Forgia D, Giotta F, Latorre A, Nardone A, Palmiotti G, Ressa CM, Rinaldi L, Rizzo A, Talienti T, Tamborra P, Zito A, Lorusso V, Massafra R. Comes MC, et al. Among authors: la forgia d. Comput Biol Med. 2024 Apr;172:108132. doi: 10.1016/j.compbiomed.2024.108132. Epub 2024 Mar 14. Comput Biol Med. 2024. PMID: 38508058 Free article.
Breast Imaging Physics in Mammography (Part II).
Fico N, Grezia GD, Cuccurullo V, Salvia AAH, Iacomino A, Sciarra A, La Forgia D, Gatta G. Fico N, et al. Among authors: la forgia d. Diagnostics (Basel). 2023 Dec 1;13(23):3582. doi: 10.3390/diagnostics13233582. Diagnostics (Basel). 2023. PMID: 38066823 Free PMC article. Review.
Prognostic power assessment of clinical parameters to predict neoadjuvant response therapy in HER2-positive breast cancer patients: A machine learning approach.
Fanizzi A, Latorre A, Bavaro DA, Bove S, Comes MC, Di Benedetto EF, Fadda F, La Forgia D, Giotta F, Palmiotti G, Petruzzellis N, Rinaldi L, Rizzo A, Lorusso V, Massafra R. Fanizzi A, et al. Among authors: la forgia d. Cancer Med. 2023 Nov;12(22):20663-20669. doi: 10.1002/cam4.6512. Epub 2023 Oct 31. Cancer Med. 2023. PMID: 37905688 Free PMC article.
Radiomics and artificial intelligence analysis by T2-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging to predict Breast Cancer Histological Outcome.
Petrillo A, Fusco R, Barretta ML, Granata V, Mattace Raso M, Porto A, Sorgente E, Fanizzi A, Massafra R, Lafranceschina M, La Forgia D, Trombadori CML, Belli P, Trecate G, Tenconi C, De Santis MC, Greco L, Ferranti FR, De Soccio V, Vidiri A, Botta F, Dominelli V, Cassano E, Boldrini L. Petrillo A, et al. Among authors: la forgia d. Radiol Med. 2023 Nov;128(11):1347-1371. doi: 10.1007/s11547-023-01718-2. Epub 2023 Oct 6. Radiol Med. 2023. PMID: 37801198
An explainable machine learning ensemble model to predict the risk of ovarian cancer in BRCA-mutated patients undergoing risk-reducing salpingo-oophorectomy.
Comes MC, Arezzo F, Cormio G, Bove S, Calabrese A, Fanizzi A, Kardhashi A, La Forgia D, Legge F, Romagno I, Loizzi V, Massafra R. Comes MC, et al. Among authors: la forgia d. Front Oncol. 2023 Jul 13;13:1181792. doi: 10.3389/fonc.2023.1181792. eCollection 2023. Front Oncol. 2023. PMID: 37519818 Free PMC article.
Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer.
Fanizzi A, Pomarico D, Rizzo A, Bove S, Comes MC, Didonna V, Giotta F, La Forgia D, Latorre A, Pastena MI, Petruzzellis N, Rinaldi L, Tamborra P, Zito A, Lorusso V, Massafra R. Fanizzi A, et al. Among authors: la forgia d. Sci Rep. 2023 May 26;13(1):8575. doi: 10.1038/s41598-023-35344-9. Sci Rep. 2023. PMID: 37237020 Free PMC article.
Assessing the cost-effectiveness of waiting list reduction strategies for a breast radiology department: a real-life case study.
Fanizzi A, Graps E, Bavaro DA, Farella M, Bove S, Campobasso F, Comes MC, Cristofaro C, Forgia D, Milella M, Iacovelli S, Villani R, Signorile R, De Bartolo A, Lorusso V, Massafra R. Fanizzi A, et al. Among authors: forgia d. BMC Health Serv Res. 2023 May 23;23(1):526. doi: 10.1186/s12913-023-09447-y. BMC Health Serv Res. 2023. PMID: 37221516 Free PMC article.
50 results