FANIZZI, ANNARITA
FANIZZI, ANNARITA
Dipartimento di Scienze Umane e Promozione della Qualità della Vita
A combined approach of multiscale texture analysis and interest point/corner detectors for microcalcifications diagnosis
2018-01-01 Losurdo, L.; Fanizzi, A.; Basile, T. M. A.; Bellotti, R.; Bottigli, U.; Dentamaro, R.; Didonna, V.; Fausto, A.; Massafra, R.; Monaco, A.; Moschetta, M.; Popescu, O.; Tamborra, P.; Tangaro, S.; La Forgia, D.
A fuzzy-based system reveals Alzheimer's Disease onset in subjects with Mild Cognitive Impairment
2017-01-01 Tangaro, S.; Fanizzi, A.; Amoroso, N.; Bellotti, R.
A Gradient-Based Approach for Breast DCE-MRI Analysis
2018-01-01 Losurdo, L.; Basile, T. M. A.; Fanizzi, A.; Bellotti, R.; Bottigli, U.; Carbonara, R.; Dentamaro, R.; Diacono, D.; Didonna, V.; Lombardi, A.; Giotta, F.; Guaragnella, C.; Mangia, A.; Massafra, R.; Tamborra, P.; Tangaro, S.; La Forgia, D.
A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis
2020-01-01 Fanizzi, A.; Basile, T. M. A.; Losurdo, L.; Bellotti, R.; Bottigli, U.; Dentamaro, R.; Didonna, V.; Fausto, A.; Massafra, R.; Moschetta, M.; Popescu, O.; Tamborra, P.; Tangaro, S.; La Forgia, D.
A multicentre evaluation of dosiomics features reproducibility, stability and sensitivity
2021-01-01 Placidi, L.; Gioscio, E.; Garibaldi, C.; Rancati, T.; Fanizzi, A.; Maestri, D.; Massafra, R.; Menghi, E.; Mirandola, A.; Reggiori, G.; Sghedoni, R.; Tamborra, P.; Comi, S.; Lenkowicz, J.; Boldrini, L.; Avanzo, M.
A proposal of quantum-inspired machine learning for medical purposes: An application case
2021-01-01 Pomarico, D.; Fanizzi, A.; Amoroso, N.; Bellotti, R.; Biafora, A.; Bove, S.; Didonna, V.; La Forgia, D.; Pastena, M. I.; Tamborra, P.; Zito, A.; Lorusso, V.; Massafra, R.
A roadmap towards breast cancer therapies supported by explainable artificial intelligence
2021-01-01 Amoroso, N.; Pomarico, D.; Fanizzi, A.; Didonna, V.; Giotta, F.; La Forgia, D.; Latorre, A.; Monaco, A.; Pantaleo, E.; Petruzzellis, N.; Tamborra, P.; Zito, A.; Lorusso, V.; Bellotti, R.; Massafra, R.
A stepwise procedure to select variables in a fuzzy least square regression model
2011-01-01 Campobasso, F.; Fanizzi, A.
A ‘machine learning’ technique for discriminating captive-reared from wild Atlantic bluefin tuna, Thunnus thynnus (Osteichthyes: Scombridae), based on differential fin spine bone resorption
2017-01-01 Campobasso, F.; Fanizzi, A.; Bello, G.; Santamaria, N.; Corriero, A.
A ‘machine learning’ technique for discriminating captive-reared from wild Atlantic bluefin tuna, Thunnus thynnus (Osteichthyes: Scombridae), based on differential fin spine bone resorption
2017-01-01 Campobasso, F.; Fanizzi, A.; Bello, G.; Santamaria, N.; Corriero, A.
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.
Alzheimer's disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm
2018-01-01 Amoroso, N.; La Rocca, M.; Bellotti, R.; Fanizzi, A.; Monaco, A.; Tangaro, S.
An explainable machine learning model to solid adnexal masses diagnosis based on clinical data and qualitative ultrasound indicators
2024-01-01 Fanizzi, A.; Arezzo, F.; Cormio, G.; Comes, M. C.; Cazzato, G.; Boldrini, L.; Bove, S.; Bollino, M.; Kardhashi, A.; Silvestris, E.; Quarto, P.; Mongelli, M.; Naglieri, E.; Signorile, R.; Loizzi, V.; Massafra, R.
An Invasive Disease Event-Free Survival Analysis to Investigate Ki67 Role with Respect to Breast Cancer Patients’ Age: A Retrospective Cohort Study
2022-01-01 Massafra, R.; Bove, S.; La Forgia, D.; Comes, M. C.; Didonna, V.; Gatta, G.; Giotta, F.; Latorre, A.; Nardone, A.; Palmiotti, G.; Quaresmini, D.; Rinaldi, L.; Tamborra, P.; Zito, A.; Rizzo, A.; Fanizzi, A.; Lorusso, V.
Association between MRI structural features and cognitive measures in pediatric multiple sclerosis
2017-01-01 Amoroso, N.; Bellotti, R.; Fanizzi, A.; Lombardi, A.; Monaco, A.; Liguori, M.; Margari, L.; Simone, M.; Viterbo, R. G.; Tangaro, S.
Computer aided detection system for prediction of the malaise during hemodialysis
2016-01-01 Tangaro, S.; Fanizzi, A.; Amoroso, N.; Corciulo, R.; Garuccio, E.; Gesualdo, L.; Loizzo, G.; Procaccini, D. A.; Verno, L.; Bellotti, R.
Computer aided detection system for prediction of the malaise during hemodialysis
2016-01-01 Tangaro, S.; Fanizzi, A.; Amoroso, N.; Corciulo, R.; Garuccio, E.; Gesualdo, L.; Loizzo, G.; Procaccini, D. A.; Verno, L.; Bellotti, R.
Deep learning and multiplex networks for accurate modeling of brain age
2019-01-01 Amoroso, N.; Rocca, M. L.; Bellantuono, L.; Diacono, D.; Fanizzi, A.; Lella, E.; Lombardi, A.; Maggipinto, T.; Monaco, A.; Tangaro, S.; Bellotti, R.
Deep learning reveals Alzheimer's disease onset in MCI subjects: Results from an international challenge
2018-01-01 Amoroso, N.; Diacono, D.; Fanizzi, A.; La Rocca, M.; Monaco, A.; Lombardi, A.; Guaragnella, C.; Bellotti, R.; Tangaro, S.
Developing an ensemble machine learning study: Insights from a multi-center proof-of-concept study
2024-01-01 Fanizzi, A.; Fadda, F.; Maddalo, M.; Saponaro, S.; Lorenzon, L.; Ubaldi, L.; Lambri, N.; Giuliano, A.; Loi, E.; Signoriello, M.; Branchini, M.; Belmonte, G.; Giannelli, M.; Mancosu, P.; Talamonti, C.; Iori, M.; Tangaro, S.; Avanzo, M.; Massafra, R.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A combined approach of multiscale texture analysis and interest point/corner detectors for microcalcifications diagnosis | 1-gen-2018 | Losurdo, L.; Fanizzi, A.; Basile, T. M. A.; Bellotti, R.; Bottigli, U.; Dentamaro, R.; Didonna, V.; Fausto, A.; Massafra, R.; Monaco, A.; Moschetta, M.; Popescu, O.; Tamborra, P.; Tangaro, S.; La Forgia, D. | |
| A fuzzy-based system reveals Alzheimer's Disease onset in subjects with Mild Cognitive Impairment | 1-gen-2017 | Tangaro, S.; Fanizzi, A.; Amoroso, N.; Bellotti, R. | |
| A Gradient-Based Approach for Breast DCE-MRI Analysis | 1-gen-2018 | Losurdo, L.; Basile, T. M. A.; Fanizzi, A.; Bellotti, R.; Bottigli, U.; Carbonara, R.; Dentamaro, R.; Diacono, D.; Didonna, V.; Lombardi, A.; Giotta, F.; Guaragnella, C.; Mangia, A.; Massafra, R.; Tamborra, P.; Tangaro, S.; La Forgia, D. | |
| A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis | 1-gen-2020 | Fanizzi, A.; Basile, T. M. A.; Losurdo, L.; Bellotti, R.; Bottigli, U.; Dentamaro, R.; Didonna, V.; Fausto, A.; Massafra, R.; Moschetta, M.; Popescu, O.; Tamborra, P.; Tangaro, S.; La Forgia, D. | |
| A multicentre evaluation of dosiomics features reproducibility, stability and sensitivity | 1-gen-2021 | Placidi, L.; Gioscio, E.; Garibaldi, C.; Rancati, T.; Fanizzi, A.; Maestri, D.; Massafra, R.; Menghi, E.; Mirandola, A.; Reggiori, G.; Sghedoni, R.; Tamborra, P.; Comi, S.; Lenkowicz, J.; Boldrini, L.; Avanzo, M. | |
| A proposal of quantum-inspired machine learning for medical purposes: An application case | 1-gen-2021 | Pomarico, D.; Fanizzi, A.; Amoroso, N.; Bellotti, R.; Biafora, A.; Bove, S.; Didonna, V.; La Forgia, D.; Pastena, M. I.; Tamborra, P.; Zito, A.; Lorusso, V.; Massafra, R. | |
| A roadmap towards breast cancer therapies supported by explainable artificial intelligence | 1-gen-2021 | Amoroso, N.; Pomarico, D.; Fanizzi, A.; Didonna, V.; Giotta, F.; La Forgia, D.; Latorre, A.; Monaco, A.; Pantaleo, E.; Petruzzellis, N.; Tamborra, P.; Zito, A.; Lorusso, V.; Bellotti, R.; Massafra, R. | |
| A stepwise procedure to select variables in a fuzzy least square regression model | 1-gen-2011 | Campobasso, F.; Fanizzi, A. | |
| A ‘machine learning’ technique for discriminating captive-reared from wild Atlantic bluefin tuna, Thunnus thynnus (Osteichthyes: Scombridae), based on differential fin spine bone resorption | 1-gen-2017 | Campobasso, F.; Fanizzi, A.; Bello, G.; Santamaria, N.; Corriero, A. | |
| A ‘machine learning’ technique for discriminating captive-reared from wild Atlantic bluefin tuna, Thunnus thynnus (Osteichthyes: Scombridae), based on differential fin spine bone resorption | 1-gen-2017 | Campobasso, F.; Fanizzi, A.; Bello, G.; Santamaria, N.; Corriero, A. | |
| 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. | |
| Alzheimer's disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm | 1-gen-2018 | Amoroso, N.; La Rocca, M.; Bellotti, R.; Fanizzi, A.; Monaco, A.; Tangaro, S. | |
| An explainable machine learning model to solid adnexal masses diagnosis based on clinical data and qualitative ultrasound indicators | 1-gen-2024 | Fanizzi, A.; Arezzo, F.; Cormio, G.; Comes, M. C.; Cazzato, G.; Boldrini, L.; Bove, S.; Bollino, M.; Kardhashi, A.; Silvestris, E.; Quarto, P.; Mongelli, M.; Naglieri, E.; Signorile, R.; Loizzi, V.; Massafra, R. | |
| An Invasive Disease Event-Free Survival Analysis to Investigate Ki67 Role with Respect to Breast Cancer Patients’ Age: A Retrospective Cohort Study | 1-gen-2022 | Massafra, R.; Bove, S.; La Forgia, D.; Comes, M. C.; Didonna, V.; Gatta, G.; Giotta, F.; Latorre, A.; Nardone, A.; Palmiotti, G.; Quaresmini, D.; Rinaldi, L.; Tamborra, P.; Zito, A.; Rizzo, A.; Fanizzi, A.; Lorusso, V. | |
| Association between MRI structural features and cognitive measures in pediatric multiple sclerosis | 1-gen-2017 | Amoroso, N.; Bellotti, R.; Fanizzi, A.; Lombardi, A.; Monaco, A.; Liguori, M.; Margari, L.; Simone, M.; Viterbo, R. G.; Tangaro, S. | |
| Computer aided detection system for prediction of the malaise during hemodialysis | 1-gen-2016 | Tangaro, S.; Fanizzi, A.; Amoroso, N.; Corciulo, R.; Garuccio, E.; Gesualdo, L.; Loizzo, G.; Procaccini, D. A.; Verno, L.; Bellotti, R. | |
| Computer aided detection system for prediction of the malaise during hemodialysis | 1-gen-2016 | Tangaro, S.; Fanizzi, A.; Amoroso, N.; Corciulo, R.; Garuccio, E.; Gesualdo, L.; Loizzo, G.; Procaccini, D. A.; Verno, L.; Bellotti, R. | |
| Deep learning and multiplex networks for accurate modeling of brain age | 1-gen-2019 | Amoroso, N.; Rocca, M. L.; Bellantuono, L.; Diacono, D.; Fanizzi, A.; Lella, E.; Lombardi, A.; Maggipinto, T.; Monaco, A.; Tangaro, S.; Bellotti, R. | |
| Deep learning reveals Alzheimer's disease onset in MCI subjects: Results from an international challenge | 1-gen-2018 | Amoroso, N.; Diacono, D.; Fanizzi, A.; La Rocca, M.; Monaco, A.; Lombardi, A.; Guaragnella, C.; Bellotti, R.; Tangaro, S. | |
| Developing an ensemble machine learning study: Insights from a multi-center proof-of-concept study | 1-gen-2024 | Fanizzi, A.; Fadda, F.; Maddalo, M.; Saponaro, S.; Lorenzon, L.; Ubaldi, L.; Lambri, N.; Giuliano, A.; Loi, E.; Signoriello, M.; Branchini, M.; Belmonte, G.; Giannelli, M.; Mancosu, P.; Talamonti, C.; Iori, M.; Tangaro, S.; Avanzo, M.; Massafra, R. |