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GUARRASI, VALERIO

GUARRASI, VALERIO  

Facoltà Dipartimentale di Ingegneria  

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Risultati 1 - 20 di 38 (tempo di esecuzione: 0.034 secondi).
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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 graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-1 1-gen-2025 Di Teodoro, G.; Siciliano, F.; Guarrasi, V.; Vandamme, A. -M.; Ghisetti, V.; Sonnerborg, A.; Zazzi, M.; Silvestri, F.; Palagi, L.
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.
A systematic review of intermediate fusion in multimodal deep learning for biomedical applications 1-gen-2025 Guarrasi, V.; Aksu, F.; Caruso, C. M.; Di Feola, F.; Rofena, A.; Ruffini, F.; 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
An optimized ensemble search approach for classification of higher-level gait disorder using brain magnetic resonance images 1-gen-2025 Mogensen, K.; Guarrasi, V.; Larsson, J.; Hansson, W.; Wahlin, A.; Koskinen, L. -O.; Malm, J.; Eklund, A.; Soda, P.; Qvarlander, S.
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.
Class balancing diversity multimodal ensemble for Alzheimer's disease diagnosis and early detection 1-gen-2025 Francesconi, A.; di Biase, L.; Cappetta, D.; Rebecchi, F.; Soda, P.; Sicilia, R.; Guarrasi, V.
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.