MASSAFRA, RAFFAELLA
MASSAFRA, RAFFAELLA
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.
Advancement study of CancerMath model as prognostic tools for predicting Sentinel lymph node metastasis in clinically negative T1 breast cancer patients
2021-01-01 Massafra, Raffaella; Pomarico, Domenico; Fanizzi, Annarita; Campobasso, Francesco; Didonna, Vittorio; Latorre, Agnese; Nardone, Annalisa; Pastena, Irene-Maria; Tamborra, Pasquale; Lorusso, Vito; La#Forgia, Daniele
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.
GPCALMA: An Italian mammographic database of digitized images for research
2006-01-01 Lauria, Adele; Massafra, Raffaella; Sonia Tangaro, Sabina; Bellotti, Roberto; Fantacci, Mariaevelina; Delogu, Pasquale; Lopez Torres, Ernesto; Cerello, Piergiorgio; Fauci, Francesco; Magro, Rosario; Bottigli, Ubaldo
Hough Transform for Clustered Microcalcifications Detection in Full-Field Digital Mammograms
2017-01-01 Fanizzi, A.; Basile, T. M. A.; Losurdo, Leonardo; Amoroso, N.; Bellotti, R.; Bottigli, U.; Dentamaro, R.; Didonna, V.; Fausto, A.; Massafra, Raffaella; Moschetta, M.; Tamborraa, P.; Tangaro, S.; LA FORGIA, Domenico
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.
Radiomic analysis in contrast-enhanced spectral mammography for predicting breast cancer histological outcome
2020-01-01 la Forgia, D.; Fanizzi, A.; Campobasso, F.; Bellotti, R.; Didonna, V.; Lorusso, V.; Moschetta, M.; Massafra, R.; Tamborra, P.; Tangaro, S.; Telegrafo, M.; Pastena, M. I.; Zito, A.
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.
The MAGIC-5 project: Medical applications on a grid infrastructure connection
2004-01-01 Bellotti, R.; Cerello, P.; De Carlo, F.; Bagnasco, S.; Bottigli, U.; Castellano, M.; Cataldo, R.; Catanzariti, E.; Cheran, S. C.; Delogu, P.; De Mitri, I.; De Nunzio, G.; Fantacci, M. E.; Fauci, F.; Forni, G.; Gargano, G.; Golosio, B.; Indovina, P. L.; Lauria, A.; Lopez Torres, E.; Magro, R.; Martello, D.; Masala, G. L.; Massafra, R.; Oliva, P.; Palmiero, R.; Preite Martinez, A.; Prevete, R.; Quarta, M.; Raso, G.; Retico, A.; Santoro, M.; Sitta, M.; Stumbo, S.; Tangaro, S.; Tata, A.; Zanon, E.
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. | |
| Advancement study of CancerMath model as prognostic tools for predicting Sentinel lymph node metastasis in clinically negative T1 breast cancer patients | 1-gen-2021 | Massafra, Raffaella; Pomarico, Domenico; Fanizzi, Annarita; Campobasso, Francesco; Didonna, Vittorio; Latorre, Agnese; Nardone, Annalisa; Pastena, Irene-Maria; Tamborra, Pasquale; Lorusso, Vito; La#Forgia, Daniele | |
| 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. | |
| GPCALMA: An Italian mammographic database of digitized images for research | 1-gen-2006 | Lauria, Adele; Massafra, Raffaella; Sonia Tangaro, Sabina; Bellotti, Roberto; Fantacci, Mariaevelina; Delogu, Pasquale; Lopez Torres, Ernesto; Cerello, Piergiorgio; Fauci, Francesco; Magro, Rosario; Bottigli, Ubaldo | |
| Hough Transform for Clustered Microcalcifications Detection in Full-Field Digital Mammograms | 1-gen-2017 | Fanizzi, A.; Basile, T. M. A.; Losurdo, Leonardo; Amoroso, N.; Bellotti, R.; Bottigli, U.; Dentamaro, R.; Didonna, V.; Fausto, A.; Massafra, Raffaella; Moschetta, M.; Tamborraa, P.; Tangaro, S.; LA FORGIA, Domenico | |
| 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. | |
| Radiomic analysis in contrast-enhanced spectral mammography for predicting breast cancer histological outcome | 1-gen-2020 | la Forgia, D.; Fanizzi, A.; Campobasso, F.; Bellotti, R.; Didonna, V.; Lorusso, V.; Moschetta, M.; Massafra, R.; Tamborra, P.; Tangaro, S.; Telegrafo, M.; Pastena, M. I.; Zito, A. | |
| 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. | |
| The MAGIC-5 project: Medical applications on a grid infrastructure connection | 1-gen-2004 | Bellotti, R.; Cerello, P.; De Carlo, F.; Bagnasco, S.; Bottigli, U.; Castellano, M.; Cataldo, R.; Catanzariti, E.; Cheran, S. C.; Delogu, P.; De Mitri, I.; De Nunzio, G.; Fantacci, M. E.; Fauci, F.; Forni, G.; Gargano, G.; Golosio, B.; Indovina, P. L.; Lauria, A.; Lopez Torres, E.; Magro, R.; Martello, D.; Masala, G. L.; Massafra, R.; Oliva, P.; Palmiero, R.; Preite Martinez, A.; Prevete, R.; Quarta, M.; Raso, G.; Retico, A.; Santoro, M.; Sitta, M.; Stumbo, S.; Tangaro, S.; Tata, A.; Zanon, E. | |
| 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 |