CONTE, LUANA
CONTE, LUANA
DIPARTIMENTO DI MEDICINA SPERIMENTALE
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 machine learning approach to predict mortality and neonatal persistent pulmonary hypertension in newborns with congenital diaphragmatic hernia. A retrospective observational cohort study
2025-01-01 Conte, Luana; Amodeo, Ilaria; DE NUNZIO, Giorgio; Raffaeli, Genny; Borzani, Irene; Persico, Nicola; Griggio, Alice; Como, Giuseppe; Colnaghi, Mariarosa; Fumagalli, Monica; Cascio, Donato; Cavallaro, Giacomo
A nationwide cross-sectional study investigating adherence to the Mediterranean diet, smoking, alcohol and work habits, hormonal dynamics between breast cancer cases and healthy subjects
2024-01-01 Conte, L.; Lupo, R.; Lezzi, A.; Paolo, V.; Rubbi, I.; Rizzo, E.; Carvello, M.; Calabro, A.; Botti, S.; De Matteis, E.; Massafra, R.; Vitale, E.; De Nunzio, 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.
A Statistical and Large Language Model to Define Oncology Nursing Advocacy Self‐Perceptions: An Explorative Study
2025-01-01 Vitale, Elsa; Lupo, Roberto; De Nunzio, Giorgio; Cascio, Donato; Botti, Stefano; Maci, Serena; Baldini, Ilaria; Rizzo, Valentina; Carvello, Maicol; Pasquinelli, Gianandrea; Cremonini, Valeria; Rubbi, Ivan; Conte, Luana
Artificial Intelligence in Reflectance Confocal Microscopy for Cutaneous Melanoma Computer-Assisted Detection: A Literature Review of Related Applications
2026-01-01 Conte, L.; Filoni, A.; Schinzari, L.; Congedo, E. S.; Pietroleonardo, L.; Rizzo, R.; De Giorgi, U.; Cascio, D.; De Nunzio, G.; Congedo, M.
Artificial Intelligence Techniques and Pedigree Charts in Oncogenetics: Towards an Experimental Multioutput Software System for Digitization and Risk Prediction
2024-01-01 Conte, Luana; Emanuele, Rizzo; Grassi, Tiziana; Bagordo, Francesco; De Matteis, Elisabetta; DE NUNZIO, Giorgio
Artificial Intelligence-Assisted Drug and Biomarker Discovery for Glioblastoma: A Scoping Review of the Literature
2025-01-01 Conte, L.; Caruso, G.; Philip, A. K.; Cucci, F.; De Nunzio, G.; Cascio, D.; Caffo, M.
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
Attitudes of psychiatric nurses toward restraint interventions in Italian mental health care: Implications for clinical practice
2025-01-01 Vitale, Elsa; Lupo, Roberto; Fari, Martina; Fanton, Marta; Lezzi, Alessia; Calabro, Antonino; Ercolani, Maurizio; Carvello, Maicol; Artioli, Giovanna; Conte, Luana; De Nunzio, Giorgio
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.
Breast Cancer Prevention Practices and Knowledge in Italian and Chinese Women in Italy: Clinical Checkups, Free NHS Screening Adherence, and Breast Self-Examination (BSE)
2024-01-01 Conte, L.; Lupo, R.; Lezzi, A.; Sciolti, S.; Rubbi, I.; Carvello, M.; Calabro, A.; Botti, S.; Fanizzi, A.; Massafra, R.; Vitale, E.; De Nunzio, G.
Breast Cancer Prevention: The Key Role of Population Screening, Breast Self-Examination (BSE) and Technological Tools. Survey of Italian Women
2023-01-01 Conte, L.; De Nunzio, G.; Lupo, R.; Mieli, M.; Lezzi, A.; Vitale, E.; Carriero, M. C.; Calabro, A.; Carvello, M.; Rubbi, I.; Federico, M.
Chemotherapy infusion for cancer patients with the assistance of immersive virtual reality (IVR): a scoping review of the literature
2024-01-01 Lezzi, Pierluigi; Lupo, Roberto; Fasano, Antonio; Conte, Luana; De Nunzio, Giorgio
Clinical Features of Takotsubo Syndrome and Its Differential Diagnostic Criteria in Clinical Nursing Practice: A Review of the Literature
2023-01-01 Lezzi, P.; Lupo, R.; Cimarelli, N.; Conte, L.; De Nunzio, G.; Botti, S.; Calcagnile, A.; Del Coco, C.; Calabro, A.; Rubbi, I.; Carvello, M.; Vitale, E.
Communicating bad news in oncology and hematology settings: A statistic and Large Language Model for interpreting nurses’ difficulties and emotions
2025-01-01 Vitale, E.; Conte, L.; Cioce, M.; Cornacchione, P.; Capuano, A.; Massafra, R.; Panzanaro, L.; De Nunzio, G.; Steduto, M.; Visintini, C.; Errichiello, S.; Parisi, A.; Sperti, G.; Pomes, O.; Lupo, R.; Botti, S.
Congenital diaphragmatic hernia: automatic lung and liver MRI segmentation with nnU-Net, reproducibility of pyradiomics features, and a machine learning application for the classification of liver herniation
2024-01-01 Conte, Luana; Amodeo, Ilaria; DE NUNZIO, Giorgio; Raffaeli, Genny; Borzani, Irene; Persico, Nicola; Griggio, Alice; Como, Giuseppe; Cascio, Donato; Colnaghi, Mariarosa; Mosca, Fabio; Cavallaro, Giacomo
Development and Evaluation of a Keypoint-Based Video Stabilization Pipeline for Oral Capillaroscopy
2025-01-01 Gentile, V.; Taormina, V.; Conte, L.; De Nunzio, G.; Raso, G.; Cascio, D.
Effects of Long COVID on Psycho-Physical Conditions in the Italian Population: A Statistical and Large Language Model Combined Description
2024-01-01 Lupo, R.; Vitale, E.; Panzanaro, L.; Lezzi, A.; Lezzi, P.; Botti, S.; Rubbi, I.; Carvello, M.; Calabro, A.; Puglia, A.; Conte, L.; De Nunzio, G.
Enhancing Breast Cancer Risk Prediction with Machine Learning: Integrating BMI, Smoking Habits, Hormonal Dynamics, and BRCA Gene Mutations—A Game-Changer Compared to Traditional Statistical Models?
2024-01-01 Conte, L.; Rizzo, E.; Civino, E.; Tarantino, P.; De Nunzio, G.; De Matteis, E.
| 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 machine learning approach to predict mortality and neonatal persistent pulmonary hypertension in newborns with congenital diaphragmatic hernia. A retrospective observational cohort study | 1-gen-2025 | Conte, Luana; Amodeo, Ilaria; DE NUNZIO, Giorgio; Raffaeli, Genny; Borzani, Irene; Persico, Nicola; Griggio, Alice; Como, Giuseppe; Colnaghi, Mariarosa; Fumagalli, Monica; Cascio, Donato; Cavallaro, Giacomo | |
| A nationwide cross-sectional study investigating adherence to the Mediterranean diet, smoking, alcohol and work habits, hormonal dynamics between breast cancer cases and healthy subjects | 1-gen-2024 | Conte, L.; Lupo, R.; Lezzi, A.; Paolo, V.; Rubbi, I.; Rizzo, E.; Carvello, M.; Calabro, A.; Botti, S.; De Matteis, E.; Massafra, R.; Vitale, E.; De Nunzio, 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. | |
| A Statistical and Large Language Model to Define Oncology Nursing Advocacy Self‐Perceptions: An Explorative Study | 1-gen-2025 | Vitale, Elsa; Lupo, Roberto; De Nunzio, Giorgio; Cascio, Donato; Botti, Stefano; Maci, Serena; Baldini, Ilaria; Rizzo, Valentina; Carvello, Maicol; Pasquinelli, Gianandrea; Cremonini, Valeria; Rubbi, Ivan; Conte, Luana | |
| Artificial Intelligence in Reflectance Confocal Microscopy for Cutaneous Melanoma Computer-Assisted Detection: A Literature Review of Related Applications | 1-gen-2026 | Conte, L.; Filoni, A.; Schinzari, L.; Congedo, E. S.; Pietroleonardo, L.; Rizzo, R.; De Giorgi, U.; Cascio, D.; De Nunzio, G.; Congedo, M. | |
| Artificial Intelligence Techniques and Pedigree Charts in Oncogenetics: Towards an Experimental Multioutput Software System for Digitization and Risk Prediction | 1-gen-2024 | Conte, Luana; Emanuele, Rizzo; Grassi, Tiziana; Bagordo, Francesco; De Matteis, Elisabetta; DE NUNZIO, Giorgio | |
| Artificial Intelligence-Assisted Drug and Biomarker Discovery for Glioblastoma: A Scoping Review of the Literature | 1-gen-2025 | Conte, L.; Caruso, G.; Philip, A. K.; Cucci, F.; De Nunzio, G.; Cascio, D.; Caffo, M. | |
| 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 | |
| Attitudes of psychiatric nurses toward restraint interventions in Italian mental health care: Implications for clinical practice | 1-gen-2025 | Vitale, Elsa; Lupo, Roberto; Fari, Martina; Fanton, Marta; Lezzi, Alessia; Calabro, Antonino; Ercolani, Maurizio; Carvello, Maicol; Artioli, Giovanna; Conte, Luana; De Nunzio, Giorgio | |
| 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. | |
| Breast Cancer Prevention Practices and Knowledge in Italian and Chinese Women in Italy: Clinical Checkups, Free NHS Screening Adherence, and Breast Self-Examination (BSE) | 1-gen-2024 | Conte, L.; Lupo, R.; Lezzi, A.; Sciolti, S.; Rubbi, I.; Carvello, M.; Calabro, A.; Botti, S.; Fanizzi, A.; Massafra, R.; Vitale, E.; De Nunzio, G. | |
| Breast Cancer Prevention: The Key Role of Population Screening, Breast Self-Examination (BSE) and Technological Tools. Survey of Italian Women | 1-gen-2023 | Conte, L.; De Nunzio, G.; Lupo, R.; Mieli, M.; Lezzi, A.; Vitale, E.; Carriero, M. C.; Calabro, A.; Carvello, M.; Rubbi, I.; Federico, M. | |
| Chemotherapy infusion for cancer patients with the assistance of immersive virtual reality (IVR): a scoping review of the literature | 1-gen-2024 | Lezzi, Pierluigi; Lupo, Roberto; Fasano, Antonio; Conte, Luana; De Nunzio, Giorgio | |
| Clinical Features of Takotsubo Syndrome and Its Differential Diagnostic Criteria in Clinical Nursing Practice: A Review of the Literature | 1-gen-2023 | Lezzi, P.; Lupo, R.; Cimarelli, N.; Conte, L.; De Nunzio, G.; Botti, S.; Calcagnile, A.; Del Coco, C.; Calabro, A.; Rubbi, I.; Carvello, M.; Vitale, E. | |
| Communicating bad news in oncology and hematology settings: A statistic and Large Language Model for interpreting nurses’ difficulties and emotions | 1-gen-2025 | Vitale, E.; Conte, L.; Cioce, M.; Cornacchione, P.; Capuano, A.; Massafra, R.; Panzanaro, L.; De Nunzio, G.; Steduto, M.; Visintini, C.; Errichiello, S.; Parisi, A.; Sperti, G.; Pomes, O.; Lupo, R.; Botti, S. | |
| Congenital diaphragmatic hernia: automatic lung and liver MRI segmentation with nnU-Net, reproducibility of pyradiomics features, and a machine learning application for the classification of liver herniation | 1-gen-2024 | Conte, Luana; Amodeo, Ilaria; DE NUNZIO, Giorgio; Raffaeli, Genny; Borzani, Irene; Persico, Nicola; Griggio, Alice; Como, Giuseppe; Cascio, Donato; Colnaghi, Mariarosa; Mosca, Fabio; Cavallaro, Giacomo | |
| Development and Evaluation of a Keypoint-Based Video Stabilization Pipeline for Oral Capillaroscopy | 1-gen-2025 | Gentile, V.; Taormina, V.; Conte, L.; De Nunzio, G.; Raso, G.; Cascio, D. | |
| Effects of Long COVID on Psycho-Physical Conditions in the Italian Population: A Statistical and Large Language Model Combined Description | 1-gen-2024 | Lupo, R.; Vitale, E.; Panzanaro, L.; Lezzi, A.; Lezzi, P.; Botti, S.; Rubbi, I.; Carvello, M.; Calabro, A.; Puglia, A.; Conte, L.; De Nunzio, G. | |
| Enhancing Breast Cancer Risk Prediction with Machine Learning: Integrating BMI, Smoking Habits, Hormonal Dynamics, and BRCA Gene Mutations—A Game-Changer Compared to Traditional Statistical Models? | 1-gen-2024 | Conte, L.; Rizzo, E.; Civino, E.; Tarantino, P.; De Nunzio, G.; De Matteis, E. |