Zobrazeno 1 - 10 of 75 pro vyhledávání: '"Luca Berta"'
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Akademický článek
Language lateralization mapping (reversibly) masked by non-dominant focal epilepsy: a case report
Autor: Belén Abarrategui, Valeria Mariani, Michele Rizzi, Luca Berta, Pina Scarpa, Flavia Maria Zauli, Silvia Squarza, Paola Banfi, Piergiorgio d’Orio, Francesco Cardinale, Maria Del Vecchio, Fausto Caruana, Pietro Avanzini, Ivana Sartori
Publikováno v: Frontiers in Human Neuroscience, Vol 17 (2023)
Language lateralization in patients with focal epilepsy frequently diverges from the left-lateralized pattern that prevails in healthy right-handed people, but the mechanistic explanations are still a matter of debate. Here, we debate the complex int
Externí odkaz: https://doaj.org/article/8e5a792706c2494c8ede07f8093388c3
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3
Akademický článek
Artificial intelligence for differentiating COVID-19 from other viral pneumonias on CT: comparative analysis of different models based on quantitative and radiomic approaches
Autor: Giulia Zorzi, Luca Berta, Francesco Rizzetto, Cristina De Mattia, Marco Maria Jacopo Felisi, Stefano Carrazza, Silvia Nerini Molteni, Chiara Vismara, Francesco Scaglione, Angelo Vanzulli, Alberto Torresin, Paola Enrica Colombo
Publikováno v: European Radiology Experimental, Vol 7, Iss 1, Pp 1-12 (2023)
Abstract Background To develop a pipeline for automatic extraction of quantitative metrics and radiomic features from lung computed tomography (CT) and develop artificial intelligence (AI) models supporting differential diagnosis between coronavirus
Externí odkaz: https://doaj.org/article/d0b2e13eda644ba09e0e99edf5732332
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4
Akademický článek
Diagnostic Performance in Differentiating COVID-19 from Other Viral Pneumonias on CT Imaging: Multi-Reader Analysis Compared with an Artificial Intelligence-Based Model
Autor: Francesco Rizzetto, Luca Berta, Giulia Zorzi, Antonino Cincotta, Francesca Travaglini, Diana Artioli, Silvia Nerini Molteni, Chiara Vismara, Francesco Scaglione, Alberto Torresin, Paola Enrica Colombo, Luca Alessandro Carbonaro, Angelo Vanzulli
Publikováno v: Tomography, Vol 8, Iss 6, Pp 2815-2827 (2022)
Growing evidence suggests that artificial intelligence tools could help radiologists in differentiating COVID-19 pneumonia from other types of viral (non-COVID-19) pneumonia. To test this hypothesis, an R-AI classifier capable of discriminating betwe
Externí odkaz: https://doaj.org/article/f1c5b8b3ac72498dbf6b0a0b64f6330e
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Plný text Recenzováno Digitální knihovna AV ČR
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