GUARRASI, VALERIO
GUARRASI, VALERIO
Facoltà Dipartimentale di Ingegneria
A deep learning approach for overall survival prediction in lung cancer with missing values
2024-01-01 Caruso, C. M.; Guarrasi, V.; Ramella, S.; Soda, P.
A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography
2024-01-01 Rofena, A.; Guarrasi, V.; Sarli, M.; Piccolo, C. L.; Sammarra, M.; Zobel, B. B.; Soda, P.
A Multi-Expert System to Detect COVID-19 Cases in X-ray Images
2021-01-01 Guarrasi, V; D'Amico, Nc; Sicilia, R; Cordelli, E; Soda, P
A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer
2022-01-01 Caruso, C. M.; Guarrasi, V.; Cordelli, E.; Sicilia, R.; Gentile, S.; Messina, L.; Fiore, M.; Piccolo, C.; Beomonte Zobel, B.; Iannello, G.; Ramella, S.; Soda, P.
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
2021-01-01 Soda, Paolo; Claudia D'Amico, Natascha; Tessadori, Jacopo; Valbusa, Giovanni; Guarrasi, Valerio; Bortolotto, Chandra; Usman Akbar, Muhammad; Sicilia, Rosa; Cordelli, Ermanno; Fazzini, Deborah; Cellina, Michaela; Oliva, Giancarlo; Callea, Giovanni; Panella, Silvia; Cariati, Maurizio; Cozzi, Diletta; Miele, Vittorio; Stellato, Elvira; Carrafiello, Gianpaolo; Castorani, Giulia; Simeone, Annalisa; Preda, Lorenzo; Iannello, Giulio; Del Bue, Alessio; Tedoldi, Fabio; Alí, Marco; Sona, Diego; Papa, Sergio
Assessing the impact of data-driven limitations on tracing and forecasting the outbreak dynamics of COVID-19
2021-01-01 Fiscon, G.; Salvadore, F.; Guarrasi, V.; Garbuglia, A. R.; Paci, P.
Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges
2023-01-01 Guarrasi, V.; Tronchin, L.; Caruso, C. M.; Rofena, A.; Manni, G.; Aksu, F.; Paolo, D.; Iannello, G.; Sicilia, R.; Cordelli, E.; Soda, P.
Comparison of current methods for anti-dsDNA antibody detection and reshaping diagnostic strategies
2022-01-01 Infantino, Maria; Palterer, Boaz; Previtali, Giulia; Alessio, Maria-Grazia; Villalta, Danilo; Carbone, Teresa; Platzgummer, Stefan; Paura, Giusi; Castiglione, Caterina; Fabris, Martina; Pesce, Giampaola; Porcelli, Brunetta; Terzuoli, Lucia; Bacarelli, Maria-Romana; Tampoia, Marilina; Cinquanta, Luigi; Brusca, Ignazio; Buzzolini, Francesca; Benucci, Maurizio; Tortora, Matteo; Tronchin, Lorenzo; Guarrasi, Valerio; Soda, Paolo; Manfredi, Mariangela; Bizzaro, Nicola
Convolutional Neural Networks for Automated Classification of Prostate Multiparametric Magnetic Resonance Imaging Based on Image Quality
2022-01-01 Cipollari, S.; Guarrasi, V.; Pecoraro, M.; Bicchetti, M.; Messina, E.; Farina, L.; Paci, P.; Catalano, C.; Panebianco, V.
Ecology and Machine Learning-Based Classification Models of Gut Microbiota and Inflammatory Markers May Evaluate the Effects of Probiotic Supplementation in Patients Recently Recovered from COVID-19
2023-01-01 Laterza, L.; Putignani, L.; Settanni, C. R.; Petito, V.; Varca, S.; De Maio, F.; Macari, G.; Guarrasi, V.; Gremese, E.; Tolusso, B.; Wlderk, G.; Pirro, M. A.; Fanali, C.; Scaldaferri, F.; Turchini, L.; Amatucci, V.; Sanguinetti, M.; Gasbarrini, A.
Emerging Microorganisms and Infectious Diseases: One Health Approach for Health Shared Vision
2024-01-01 Ristori Maria, Vittoria; Guarrasi, Valerio; Soda, Paolo; Petrosillo, Nicola; Gurrieri, Fiorella; Longo, UMILE GIUSEPPE; Ciccozzi, Massimo; Riva, Elisabetta; Angeletti, Silvia.
Exploring nasopharyngeal microbiota profile in children affected by SARS-CoV-2 infection
2024-01-01 Romani, L.; Chierico, F. D.; Pane, S.; Ristori, M. V.; Pirona, I.; Guarrasi, V.; Cotugno, N.; Bernardi, S.; Lancella, L.; Perno, C. F.; Rossi, P.; Villani, A.; Campana, A.; Palma, P.; Putignani, L.
Fecal microbiota signatures of insulin resistance, inflammation, and metabolic syndrome in youth with obesity: a pilot study
2021-01-01 Del Chierico, F.; Manco, M.; Gardini, S.; Guarrasi, V.; Russo, A.; Bianchi, M.; Tortosa, V.; Quagliariello, A.; Shashaj, B.; Fintini, D.; Putignani, L.
Functional and Taxonomic Traits of the Gut Microbiota in Type 1 Diabetes Children at the Onset: A Metaproteomic Study
2022-01-01 Levi Mortera, S.; Marzano, V.; Vernocchi, P.; Matteoli, M. C.; Guarrasi, V.; Gardini, S.; Del Chierico, F.; Rapini, N.; Deodati, A.; Fierabracci, A.; Cianfarani, S.; Putignani, L.
Gut Microbiota Ecology and Inferred Functions in Children With ASD Compared to Neurotypical Subjects
2022-01-01 Vernocchi, P.; Ristori, M. V.; Guerrera, S.; Guarrasi, V.; Conte, F.; Russo, A.; Lupi, E.; Albitar-Nehme, S.; Gardini, S.; Paci, P.; Ianiro, G.; Vicari, S.; Gasbarrini, A.; Putignani, L.
Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors
2023-01-01 Vernocchi, P.; Marangelo, C.; Guerrera, S.; Del Chierico, F.; Guarrasi, V.; Gardini, S.; Conte, F.; Paci, P.; Ianiro, G.; Gasbarrini, A.; Vicari, S.; Putignani, L.
Gut Microbiota Functional Traits, Blood pH, and Anti-GAD Antibodies Concur in the Clinical Characterization of T1D at Onset
2022-01-01 Del Chierico, F.; Conta, G.; Matteoli, M. C.; Fierabracci, A.; Reddel, S.; Macari, G.; Gardini, S.; Guarrasi, V.; Levi Mortera, S.; Marzano, V.; Vernocchi, P.; Sciubba, F.; Marini, F.; Deodati, A.; Rapini, N.; Cianfarani, S.; Miccheli, A.; Putignani, L.
Hepatitis C diagnosis and treatment in people who use drugs: Mind the gap in the linkage to care
2021-01-01 Taibi, C.; Luzzitelli, I.; Comandini, U. V.; Girardi, E.; Monacelli, G.; Rapisarda, L. M.; Garbuglia, A. R.; Minosse, C.; Guarrasi, V.; Vincenzi, L.; Iacomi, F.; D'Offizi, G.
Human Papillomavirus Infections in Cervical Samples From HIV-Positive Women: Evaluation of the Presence of the Nonavalent HPV Genotypes and Genetic Diversity
2020-01-01 Sias, C.; Guarrasi, V.; Minosse, C.; Lapa, D.; Nonno, F. D.; Capobianchi, M. R.; Garbuglia, A. R.; Del Porto, P.; Paci, P.
Making AI trustworthy in multimodal and healthcare scenarios
2023-01-01 Cordelli, E.; Guarrasi, V.; Iannello, G.; Ruffini, F.; Sicilia, R.; Soda, P.; Tronchin, L.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A deep learning approach for overall survival prediction in lung cancer with missing values | 1-gen-2024 | Caruso, C. M.; Guarrasi, V.; Ramella, S.; Soda, P. | |
| A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography | 1-gen-2024 | Rofena, A.; Guarrasi, V.; Sarli, M.; Piccolo, C. L.; Sammarra, M.; Zobel, B. B.; Soda, P. | |
| A Multi-Expert System to Detect COVID-19 Cases in X-ray Images | 1-gen-2021 | Guarrasi, V; D'Amico, Nc; Sicilia, R; Cordelli, E; Soda, P | |
| A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer | 1-gen-2022 | Caruso, C. M.; Guarrasi, V.; Cordelli, E.; Sicilia, R.; Gentile, S.; Messina, L.; Fiore, M.; Piccolo, C.; Beomonte Zobel, B.; Iannello, G.; Ramella, S.; Soda, P. | |
| AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study | 1-gen-2021 | Soda, Paolo; Claudia D'Amico, Natascha; Tessadori, Jacopo; Valbusa, Giovanni; Guarrasi, Valerio; Bortolotto, Chandra; Usman Akbar, Muhammad; Sicilia, Rosa; Cordelli, Ermanno; Fazzini, Deborah; Cellina, Michaela; Oliva, Giancarlo; Callea, Giovanni; Panella, Silvia; Cariati, Maurizio; Cozzi, Diletta; Miele, Vittorio; Stellato, Elvira; Carrafiello, Gianpaolo; Castorani, Giulia; Simeone, Annalisa; Preda, Lorenzo; Iannello, Giulio; Del Bue, Alessio; Tedoldi, Fabio; Alí, Marco; Sona, Diego; Papa, Sergio | |
| Assessing the impact of data-driven limitations on tracing and forecasting the outbreak dynamics of COVID-19 | 1-gen-2021 | Fiscon, G.; Salvadore, F.; Guarrasi, V.; Garbuglia, A. R.; Paci, P. | |
| Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges | 1-gen-2023 | Guarrasi, V.; Tronchin, L.; Caruso, C. M.; Rofena, A.; Manni, G.; Aksu, F.; Paolo, D.; Iannello, G.; Sicilia, R.; Cordelli, E.; Soda, P. | |
| Comparison of current methods for anti-dsDNA antibody detection and reshaping diagnostic strategies | 1-gen-2022 | Infantino, Maria; Palterer, Boaz; Previtali, Giulia; Alessio, Maria-Grazia; Villalta, Danilo; Carbone, Teresa; Platzgummer, Stefan; Paura, Giusi; Castiglione, Caterina; Fabris, Martina; Pesce, Giampaola; Porcelli, Brunetta; Terzuoli, Lucia; Bacarelli, Maria-Romana; Tampoia, Marilina; Cinquanta, Luigi; Brusca, Ignazio; Buzzolini, Francesca; Benucci, Maurizio; Tortora, Matteo; Tronchin, Lorenzo; Guarrasi, Valerio; Soda, Paolo; Manfredi, Mariangela; Bizzaro, Nicola | |
| Convolutional Neural Networks for Automated Classification of Prostate Multiparametric Magnetic Resonance Imaging Based on Image Quality | 1-gen-2022 | Cipollari, S.; Guarrasi, V.; Pecoraro, M.; Bicchetti, M.; Messina, E.; Farina, L.; Paci, P.; Catalano, C.; Panebianco, V. | |
| Ecology and Machine Learning-Based Classification Models of Gut Microbiota and Inflammatory Markers May Evaluate the Effects of Probiotic Supplementation in Patients Recently Recovered from COVID-19 | 1-gen-2023 | Laterza, L.; Putignani, L.; Settanni, C. R.; Petito, V.; Varca, S.; De Maio, F.; Macari, G.; Guarrasi, V.; Gremese, E.; Tolusso, B.; Wlderk, G.; Pirro, M. A.; Fanali, C.; Scaldaferri, F.; Turchini, L.; Amatucci, V.; Sanguinetti, M.; Gasbarrini, A. | |
| Emerging Microorganisms and Infectious Diseases: One Health Approach for Health Shared Vision | 1-gen-2024 | Ristori Maria, Vittoria; Guarrasi, Valerio; Soda, Paolo; Petrosillo, Nicola; Gurrieri, Fiorella; Longo, UMILE GIUSEPPE; Ciccozzi, Massimo; Riva, Elisabetta; Angeletti, Silvia. | |
| Exploring nasopharyngeal microbiota profile in children affected by SARS-CoV-2 infection | 1-gen-2024 | Romani, L.; Chierico, F. D.; Pane, S.; Ristori, M. V.; Pirona, I.; Guarrasi, V.; Cotugno, N.; Bernardi, S.; Lancella, L.; Perno, C. F.; Rossi, P.; Villani, A.; Campana, A.; Palma, P.; Putignani, L. | |
| Fecal microbiota signatures of insulin resistance, inflammation, and metabolic syndrome in youth with obesity: a pilot study | 1-gen-2021 | Del Chierico, F.; Manco, M.; Gardini, S.; Guarrasi, V.; Russo, A.; Bianchi, M.; Tortosa, V.; Quagliariello, A.; Shashaj, B.; Fintini, D.; Putignani, L. | |
| Functional and Taxonomic Traits of the Gut Microbiota in Type 1 Diabetes Children at the Onset: A Metaproteomic Study | 1-gen-2022 | Levi Mortera, S.; Marzano, V.; Vernocchi, P.; Matteoli, M. C.; Guarrasi, V.; Gardini, S.; Del Chierico, F.; Rapini, N.; Deodati, A.; Fierabracci, A.; Cianfarani, S.; Putignani, L. | |
| Gut Microbiota Ecology and Inferred Functions in Children With ASD Compared to Neurotypical Subjects | 1-gen-2022 | Vernocchi, P.; Ristori, M. V.; Guerrera, S.; Guarrasi, V.; Conte, F.; Russo, A.; Lupi, E.; Albitar-Nehme, S.; Gardini, S.; Paci, P.; Ianiro, G.; Vicari, S.; Gasbarrini, A.; Putignani, L. | |
| Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictors | 1-gen-2023 | Vernocchi, P.; Marangelo, C.; Guerrera, S.; Del Chierico, F.; Guarrasi, V.; Gardini, S.; Conte, F.; Paci, P.; Ianiro, G.; Gasbarrini, A.; Vicari, S.; Putignani, L. | |
| Gut Microbiota Functional Traits, Blood pH, and Anti-GAD Antibodies Concur in the Clinical Characterization of T1D at Onset | 1-gen-2022 | Del Chierico, F.; Conta, G.; Matteoli, M. C.; Fierabracci, A.; Reddel, S.; Macari, G.; Gardini, S.; Guarrasi, V.; Levi Mortera, S.; Marzano, V.; Vernocchi, P.; Sciubba, F.; Marini, F.; Deodati, A.; Rapini, N.; Cianfarani, S.; Miccheli, A.; Putignani, L. | |
| Hepatitis C diagnosis and treatment in people who use drugs: Mind the gap in the linkage to care | 1-gen-2021 | Taibi, C.; Luzzitelli, I.; Comandini, U. V.; Girardi, E.; Monacelli, G.; Rapisarda, L. M.; Garbuglia, A. R.; Minosse, C.; Guarrasi, V.; Vincenzi, L.; Iacomi, F.; D'Offizi, G. | |
| Human Papillomavirus Infections in Cervical Samples From HIV-Positive Women: Evaluation of the Presence of the Nonavalent HPV Genotypes and Genetic Diversity | 1-gen-2020 | Sias, C.; Guarrasi, V.; Minosse, C.; Lapa, D.; Nonno, F. D.; Capobianchi, M. R.; Garbuglia, A. R.; Del Porto, P.; Paci, P. | |
| Making AI trustworthy in multimodal and healthcare scenarios | 1-gen-2023 | Cordelli, E.; Guarrasi, V.; Iannello, G.; Ruffini, F.; Sicilia, R.; Soda, P.; Tronchin, L. |