NARDONE, ANNALISA
NARDONE, ANNALISA
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.
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.
EVALUATION OF EFFECTIVENESS OF A NEW SENSORY-BASED LABORATORY APPROACH TO ENHANCE HEALTHY FOOD CHOICES IN CHILDREN. A CASE-CONTROL STUDY
2017-01-01 Meleleo, D; Susca, G; Buccheri, Va; Lamanna, G; Nardone, A; Cassano, L; Rotolo, O; Mustica, S; Bratta, G; Solito, P; Bartolomeo, N
MRI evaluation of post-mastectomy irradiated breast implants: prevalence and analysis of complications
2015-01-01 Rella, Leonarda; Telegrafo, Michele; Nardone, Annalisa; Milella, A; STABILE IANORA, Amato Antonio; Lioce, M; Angelelli, Giuseppe; Moschetta, Marco
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 Management of Oligoprogression in the Landscape of New Therapies for Metastatic Melanoma
2019-01-01 Guida, Michele; Bartolomeo, Nicola; De Risi, Ivana; Fucci, Livia; Armenio, Andrea; Filannino, Ruggero; Ruggieri, Eustachio; Macina, Francesco; Traversa, Michele; Nardone, Annalisa; Figliuolo, Francesco; De Luca, Federica; Mele, Fabio; Tommasi, Stefania; Strippoli, Sabino
| 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. | |
| 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. | |
| EVALUATION OF EFFECTIVENESS OF A NEW SENSORY-BASED LABORATORY APPROACH TO ENHANCE HEALTHY FOOD CHOICES IN CHILDREN. A CASE-CONTROL STUDY | 1-gen-2017 | Meleleo, D; Susca, G; Buccheri, Va; Lamanna, G; Nardone, A; Cassano, L; Rotolo, O; Mustica, S; Bratta, G; Solito, P; Bartolomeo, N | |
| MRI evaluation of post-mastectomy irradiated breast implants: prevalence and analysis of complications | 1-gen-2015 | Rella, Leonarda; Telegrafo, Michele; Nardone, Annalisa; Milella, A; STABILE IANORA, Amato Antonio; Lioce, M; Angelelli, Giuseppe; Moschetta, Marco | |
| 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 Management of Oligoprogression in the Landscape of New Therapies for Metastatic Melanoma | 1-gen-2019 | Guida, Michele; Bartolomeo, Nicola; De Risi, Ivana; Fucci, Livia; Armenio, Andrea; Filannino, Ruggero; Ruggieri, Eustachio; Macina, Francesco; Traversa, Michele; Nardone, Annalisa; Figliuolo, Francesco; De Luca, Federica; Mele, Fabio; Tommasi, Stefania; Strippoli, Sabino |