CONTE, LUANA
CONTE, LUANA
DIPARTIMENTO DI MATEMATICA E FISICA "ENNIO DE GIORGI"
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.
A New Berlin Questionnaire Simplified by Machine Learning Techniques in a Population of Italian Healthcare Workers to Highlight the Suspicion of Obstructive Sleep Apnea
2022-01-01 De Nunzio, G.; Conte, L.; Lupo, R.; Vitale, E.; Calabr(`o), A.; Ercolani, M.; Carvello, M.; Arigliani, M.; Toraldo, D. M.; De Benedetto, L.
Artificial Intelligence Techniques and Pedigree Charts in Oncogenetics: Towards an Experimental Multioutput Software System for Digitization and Risk Prediction
2024-01-01 Conte, Luana; Rizzo, Emanuele; Grassi, Tiziana; Bagordo, Francesco; De Matteis, Elisabetta; DE NUNZIO, Giorgio
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
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.
How shift work influences anxiety, depression, stress and insomnia conditions in Italian nurses: an exploratory study
2023-01-01 Vitale, E.; Lupo, R.; Artioli, G.; Mea, R.; Lezzi, P.; Conte, L.; De Nunzio, G.
Machine learning algorithms distinguish discrete digital emotional fingerprints for web pages related to back pain
2023-01-01 Caldo, D.; Bologna, S.; Conte, L.; Amin, M. S.; Anselma, L.; Basile, V.; Hossain, M. M.; Mazzei, A.; Heritier, P.; Ferracini, R.; Kon, 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
Simplified Barbed Reposition Pharyngoplasty (sBRP)
2022-01-01 Arigliani, Michele; Ciavolino, Enrico; Conte, Luana
The Use of Middle Latency Auditory Evoked Potentials (MLAEP) as Methodology for Evaluating Sedation Level in Propofol-Drug Induced Sleep Endoscopy (DISE) Procedure
2021-01-01 Arigliani, Michele; Toraldo, Domenico M; Ciavolino, Enrico; Lattante, Caterina; Conte, Luana; Arima, Serena; Arigliani, Caterina; Palumbo, Antonio; De Benedetto, Michele
| 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. | |
| A New Berlin Questionnaire Simplified by Machine Learning Techniques in a Population of Italian Healthcare Workers to Highlight the Suspicion of Obstructive Sleep Apnea | 1-gen-2022 | De Nunzio, G.; Conte, L.; Lupo, R.; Vitale, E.; Calabr(`o), A.; Ercolani, M.; Carvello, M.; Arigliani, M.; Toraldo, D. M.; De Benedetto, L. | |
| Artificial Intelligence Techniques and Pedigree Charts in Oncogenetics: Towards an Experimental Multioutput Software System for Digitization and Risk Prediction | 1-gen-2024 | Conte, Luana; Rizzo, Emanuele; Grassi, Tiziana; Bagordo, Francesco; De Matteis, Elisabetta; DE NUNZIO, Giorgio | |
| 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 | |
| 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. | |
| How shift work influences anxiety, depression, stress and insomnia conditions in Italian nurses: an exploratory study | 1-gen-2023 | Vitale, E.; Lupo, R.; Artioli, G.; Mea, R.; Lezzi, P.; Conte, L.; De Nunzio, G. | |
| Machine learning algorithms distinguish discrete digital emotional fingerprints for web pages related to back pain | 1-gen-2023 | Caldo, D.; Bologna, S.; Conte, L.; Amin, M. S.; Anselma, L.; Basile, V.; Hossain, M. M.; Mazzei, A.; Heritier, P.; Ferracini, R.; Kon, 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 | |
| Simplified Barbed Reposition Pharyngoplasty (sBRP) | 1-gen-2022 | Arigliani, Michele; Ciavolino, Enrico; Conte, Luana | |
| The Use of Middle Latency Auditory Evoked Potentials (MLAEP) as Methodology for Evaluating Sedation Level in Propofol-Drug Induced Sleep Endoscopy (DISE) Procedure | 1-gen-2021 | Arigliani, Michele; Toraldo, Domenico M; Ciavolino, Enrico; Lattante, Caterina; Conte, Luana; Arima, Serena; Arigliani, Caterina; Palumbo, Antonio; De Benedetto, Michele |