TAFURI, BENEDETTA
TAFURI, BENEDETTA
DIPARTIMENTO DI INGEGNERIA DELL'INNOVAZIONE
A maChine and deep Learning Approach to predict pulmoNary hyperteNsIon in newbornS with congenital diaphragmatic Hernia (CLANNISH): Protocol for a retrospective study
2021-01-01 Amodeo, I.; De Nunzio, G.; Raffaeli, G.; Borzani, I.; Griggio, A.; Conte, L.; Macchini, F.; Condo, V.; Persico, N.; Fabietti, I.; Ghirardello, S.; Pierro, M.; Tafuri, B.; Como, G.; Cascio, D.; Colnaghi, M.; Mosca, F.; Cavallaro, G.
Altered structural brain networks in linguistic variants of frontotemporal dementia
2021-01-01 Nigro, Salvatore; Tafuri, Benedetta; Urso, Daniele; De Blasi, Roberto; Cedola, Alessia; Gigli, Giuseppe; Logroscino, Giancarlo
Artificial Neural Networks (ANN) for automatic detection of dendritic-shaped cancer cells of cutaneous melanoma in Reflectance Confocal Microscopy (RCM) images
2019-01-01 DE NUNZIO, Giorgio; Conte, Luana; Federico, Massimo; Farnetani, Francesca; Maffia, Michele; Tafuri, Benedetta; Pellacani, Giovanni
Brain Structural Covariance Networks in Behavioral Variant of Frontotemporal Dementia
2021-01-01 Nigro, Salvatore; Tafuri, Benedetta; Urso, Daniele; De Blasi, Roberto; Frisullo, Maria Elisa; Barulli, Maria Rosaria; Capozzo, Rosa; Cedola, Alessia; Gigli, Giuseppe; Logroscino, Giancarlo
Breast cancer mass detection in dce-mri using deep-learning features followed by discrimination of infiltrative vs. in situ carcinoma through a machine-learning approach
2020-01-01 Conte, L.; Tafuri, B.; Portaluri, M.; Galiano, A.; Maggiulli, E.; De Nunzio, G.
Radiomics for the Discrimination of Infiltrative vs In Situ Breast Cancer
2019-01-01 Tafuri, Benedetta; Conte, Luana; Portaluri, Maurizio; Galiano, Alessandro; Maggiulli, Eleonora; DE NUNZIO, Giorgio
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A maChine and deep Learning Approach to predict pulmoNary hyperteNsIon in newbornS with congenital diaphragmatic Hernia (CLANNISH): Protocol for a retrospective study | 1-gen-2021 | Amodeo, I.; De Nunzio, G.; Raffaeli, G.; Borzani, I.; Griggio, A.; Conte, L.; Macchini, F.; Condo, V.; Persico, N.; Fabietti, I.; Ghirardello, S.; Pierro, M.; Tafuri, B.; Como, G.; Cascio, D.; Colnaghi, M.; Mosca, F.; Cavallaro, G. | |
| Altered structural brain networks in linguistic variants of frontotemporal dementia | 1-gen-2021 | Nigro, Salvatore; Tafuri, Benedetta; Urso, Daniele; De Blasi, Roberto; Cedola, Alessia; Gigli, Giuseppe; Logroscino, Giancarlo | |
| Artificial Neural Networks (ANN) for automatic detection of dendritic-shaped cancer cells of cutaneous melanoma in Reflectance Confocal Microscopy (RCM) images | 1-gen-2019 | DE NUNZIO, Giorgio; Conte, Luana; Federico, Massimo; Farnetani, Francesca; Maffia, Michele; Tafuri, Benedetta; Pellacani, Giovanni | |
| Brain Structural Covariance Networks in Behavioral Variant of Frontotemporal Dementia | 1-gen-2021 | Nigro, Salvatore; Tafuri, Benedetta; Urso, Daniele; De Blasi, Roberto; Frisullo, Maria Elisa; Barulli, Maria Rosaria; Capozzo, Rosa; Cedola, Alessia; Gigli, Giuseppe; Logroscino, Giancarlo | |
| Breast cancer mass detection in dce-mri using deep-learning features followed by discrimination of infiltrative vs. in situ carcinoma through a machine-learning approach | 1-gen-2020 | Conte, L.; Tafuri, B.; Portaluri, M.; Galiano, A.; Maggiulli, E.; De Nunzio, G. | |
| Radiomics for the Discrimination of Infiltrative vs In Situ Breast Cancer | 1-gen-2019 | Tafuri, Benedetta; Conte, Luana; Portaluri, Maurizio; Galiano, Alessandro; Maggiulli, Eleonora; DE NUNZIO, Giorgio |