BOVE, SAMANTHA
BOVE, SAMANTHA
A machine learning ensemble approach for 5- And 10-year breast cancer invasive disease event classification
2022-01-01 Massafra, R.; Comes, M. C.; Bove, S.; Didonna, V.; Diotaiuti, S.; Giotta, F.; Latorre, A.; La Forgia, D.; Nardone, A.; Pomarico, D.; Ressa, C. M.; Rizzo, A.; Tamborra, P.; Zito, A.; Lorusso, V.; Fanizzi, A.
A Radiomic-based model to predict the depth of myometrial invasion in endometrial cancer on ultrasound images
2025-01-01 Arezzo, Francesca; Fanizzi, Annarita; Mancari, Rosanna; Cocco, Emiliano; Bove, Samantha; Comes, Maria Colomba; Gianciotta, Mariangela; Lanza, Giorgia; Lopez, Salvatore; Cazzato, Gerardo; Silvestris, Erica; Vitale, Elsa; Vizza, Enrico; Cormio, Gennaro; Massafra, Raffaella; Loizzi, Vera
A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients
2022-01-01 Bove, S.; Comes, M. C.; Lorusso, V.; Cristofaro, C.; Didonna, V.; Gatta, G.; Giotta, F.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Petruzzellis, N.; Pomarico, D.; Rinaldi, L.; Tamborra, P.; Zito, A.; Fanizzi, A.; Massafra, R.
Accurate Evaluation of Feature Contributions for Sentinel Lymph Node Status Classification in Breast Cancer
2022-01-01 Lombardi, A.; Amoroso, N.; Bellantuono, L.; Bove, S.; Comes, M. C.; Fanizzi, A.; La Forgia, D.; Lorusso, V.; Monaco, A.; Tangaro, S.; Zito, F. A.; Bellotti, R.; Massafra, R.
Analyzing breast cancer invasive disease event classification through explainable artificial intelligence
2023-01-01 Massafra, R.; Fanizzi, A.; Amoroso, N.; Bove, S.; Comes, M. C.; Pomarico, D.; Didonna, V.; Diotaiuti, S.; Galati, L.; Giotta, F.; La Forgia, D.; Latorre, A.; Lombardi, A.; Nardone, A.; Pastena, M. I.; Ressa, C. M.; Rinaldi, L.; Tamborra, P.; Zito, A.; Paradiso, A. V.; Bellotti, R.; Lorusso, V.
Assessing the cost-effectiveness of waiting list reduction strategies for a breast radiology department: a real-life case study
2023-01-01 Fanizzi, Annarita; Graps, Elisabetta; Bavaro, Domenica Antonia; Farella, Marco; Bove, Samantha; Campobasso, Francesco; Comes, Maria Colomba; Cristofaro, Cristian; Forgia, Daniele La; Milella, Martina; Iacovelli, Serena; Villani, Rossella; Signorile, Rahel; De Bartolo, Alessio; Lorusso, Vito; Massafra, Raffaella
Decision support systems for the prediction of lymph node involvement in early breast cancer
2021-01-01 Massafra, R.; Pomarico, D.; La Forgia, D.; Bove, S.; Didonna, V.; Latorre, A.; Russo, A. O.; Tamborra, P.; Lorusso, V.; Fanizzi, A.
Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer
2023-01-01 Fanizzi, A.; Pomarico, D.; Rizzo, A.; Bove, S.; Comes, M. C.; Didonna, V.; Giotta, F.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Petruzzellis, N.; Rinaldi, L.; Tamborra, P.; Zito, A.; Lorusso, V.; Massafra, R.
Predicting of sentinel lymph node status in breast cancer patients with clinically negative nodes: A validation study
2021-01-01 Fanizzi, A.; Pomarico, D.; Paradiso, A.; Bove, S.; Diotiaiuti, S.; Didonna, V.; Giotta, F.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Tamborra, P.; Zito, A.; Lorusso, V.; Massafra, R.
Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE‐MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy
2022-01-01 Massafra, R.; Comes, M. C.; Bove, S.; Didonna, V.; Gatta, G.; Giotta, F.; Fanizzi, A.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Pomarico, D.; Rinaldi, L.; Tamborra, P.; Zito, A.; Lorusso, V.; Paradiso, A. V.
Sentinel lymph node metastasis on clinically negative patients: Preliminary results of a machine learning model based on histopathological features
2021-01-01 Fanizzi, A.; Lorusso, V.; Biafora, A.; Bove, S.; Comes, M. C.; Cristofaro, C.; Digennaro, M.; Didonna, V.; La Forgia, D.; Nardone, A.; Pomarico, D.; Tamborra, P.; Zito, A.; Paradiso, A. V.; Massafra, R.
Validation of machine learning-based models to predict and explain the risk of ovarian cancer: a multicentric study on BRCA-mutated patients undergoing risk-reducing salpingo-oophorectomy
2025-01-01 Loizzi, Vera; Comes, Maria Colomba; Arezzo, Francesca; Apostol, Adriana Ionelia; Bove, Samantha; Fanizzi, Annarita; Fruscio, Robert; Gregorc, Vanesa; Legge, Francesco; Mancari, Rosanna; Marchetti, Claudia; Negri, Serena; Russo, Giorgia; Vertechy, Laura; Scambia, Giovanni; Massafra, Raffaella; Cormio, Gennaro
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A machine learning ensemble approach for 5- And 10-year breast cancer invasive disease event classification | 1-gen-2022 | Massafra, R.; Comes, M. C.; Bove, S.; Didonna, V.; Diotaiuti, S.; Giotta, F.; Latorre, A.; La Forgia, D.; Nardone, A.; Pomarico, D.; Ressa, C. M.; Rizzo, A.; Tamborra, P.; Zito, A.; Lorusso, V.; Fanizzi, A. | |
| A Radiomic-based model to predict the depth of myometrial invasion in endometrial cancer on ultrasound images | 1-gen-2025 | Arezzo, Francesca; Fanizzi, Annarita; Mancari, Rosanna; Cocco, Emiliano; Bove, Samantha; Comes, Maria Colomba; Gianciotta, Mariangela; Lanza, Giorgia; Lopez, Salvatore; Cazzato, Gerardo; Silvestris, Erica; Vitale, Elsa; Vizza, Enrico; Cormio, Gennaro; Massafra, Raffaella; Loizzi, Vera | |
| A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients | 1-gen-2022 | Bove, S.; Comes, M. C.; Lorusso, V.; Cristofaro, C.; Didonna, V.; Gatta, G.; Giotta, F.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Petruzzellis, N.; Pomarico, D.; Rinaldi, L.; Tamborra, P.; Zito, A.; Fanizzi, A.; Massafra, R. | |
| Accurate Evaluation of Feature Contributions for Sentinel Lymph Node Status Classification in Breast Cancer | 1-gen-2022 | Lombardi, A.; Amoroso, N.; Bellantuono, L.; Bove, S.; Comes, M. C.; Fanizzi, A.; La Forgia, D.; Lorusso, V.; Monaco, A.; Tangaro, S.; Zito, F. A.; Bellotti, R.; Massafra, R. | |
| Analyzing breast cancer invasive disease event classification through explainable artificial intelligence | 1-gen-2023 | Massafra, R.; Fanizzi, A.; Amoroso, N.; Bove, S.; Comes, M. C.; Pomarico, D.; Didonna, V.; Diotaiuti, S.; Galati, L.; Giotta, F.; La Forgia, D.; Latorre, A.; Lombardi, A.; Nardone, A.; Pastena, M. I.; Ressa, C. M.; Rinaldi, L.; Tamborra, P.; Zito, A.; Paradiso, A. V.; Bellotti, R.; Lorusso, V. | |
| Assessing the cost-effectiveness of waiting list reduction strategies for a breast radiology department: a real-life case study | 1-gen-2023 | Fanizzi, Annarita; Graps, Elisabetta; Bavaro, Domenica Antonia; Farella, Marco; Bove, Samantha; Campobasso, Francesco; Comes, Maria Colomba; Cristofaro, Cristian; Forgia, Daniele La; Milella, Martina; Iacovelli, Serena; Villani, Rossella; Signorile, Rahel; De Bartolo, Alessio; Lorusso, Vito; Massafra, Raffaella | |
| Decision support systems for the prediction of lymph node involvement in early breast cancer | 1-gen-2021 | Massafra, R.; Pomarico, D.; La Forgia, D.; Bove, S.; Didonna, V.; Latorre, A.; Russo, A. O.; Tamborra, P.; Lorusso, V.; Fanizzi, A. | |
| Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer | 1-gen-2023 | Fanizzi, A.; Pomarico, D.; Rizzo, A.; Bove, S.; Comes, M. C.; Didonna, V.; Giotta, F.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Petruzzellis, N.; Rinaldi, L.; Tamborra, P.; Zito, A.; Lorusso, V.; Massafra, R. | |
| Predicting of sentinel lymph node status in breast cancer patients with clinically negative nodes: A validation study | 1-gen-2021 | Fanizzi, A.; Pomarico, D.; Paradiso, A.; Bove, S.; Diotiaiuti, S.; Didonna, V.; Giotta, F.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Tamborra, P.; Zito, A.; Lorusso, V.; Massafra, R. | |
| Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE‐MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy | 1-gen-2022 | Massafra, R.; Comes, M. C.; Bove, S.; Didonna, V.; Gatta, G.; Giotta, F.; Fanizzi, A.; La Forgia, D.; Latorre, A.; Pastena, M. I.; Pomarico, D.; Rinaldi, L.; Tamborra, P.; Zito, A.; Lorusso, V.; Paradiso, A. V. | |
| Sentinel lymph node metastasis on clinically negative patients: Preliminary results of a machine learning model based on histopathological features | 1-gen-2021 | Fanizzi, A.; Lorusso, V.; Biafora, A.; Bove, S.; Comes, M. C.; Cristofaro, C.; Digennaro, M.; Didonna, V.; La Forgia, D.; Nardone, A.; Pomarico, D.; Tamborra, P.; Zito, A.; Paradiso, A. V.; Massafra, R. | |
| Validation of machine learning-based models to predict and explain the risk of ovarian cancer: a multicentric study on BRCA-mutated patients undergoing risk-reducing salpingo-oophorectomy | 1-gen-2025 | Loizzi, Vera; Comes, Maria Colomba; Arezzo, Francesca; Apostol, Adriana Ionelia; Bove, Samantha; Fanizzi, Annarita; Fruscio, Robert; Gregorc, Vanesa; Legge, Francesco; Mancari, Rosanna; Marchetti, Claudia; Negri, Serena; Russo, Giorgia; Vertechy, Laura; Scambia, Giovanni; Massafra, Raffaella; Cormio, Gennaro |