Výsledky vyhledávání - "Paola Enrica Colombo"

Akademický článek

The burden of radiation exposure in congenital heart disease: the Italian cohort profile and bioresource collection in HARMONIC project

Autor: Jonica Campolo, Giuseppe Annoni, Gabriele Vignati, Alessio Peretti, Marco Papa, Paola Enrica Colombo, Gaia Muti, Marina Parolini, Andrea Borghini, Marzia Giaccardi, Lamia Ait-Alì, Eugenio Picano, Maria Grazia Andreassi

Publikováno v: Italian Journal of Pediatrics, Vol 50, Iss 1, Pp 1-10 (2024)

Abstract Background The European-funded Health Effects of Cardiac Fluoroscopy and Modern Radiotherapy in Pediatrics (HARMONIC) project aims to improve knowledge on the effects of medical exposure to ionizing radiation (IR) received during childhood.

Externí odkaz: https://doaj.org/article/963e75f17a6a4384acd405b92013a0ab

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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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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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Akademický článek

Patient organ and effective dose estimation in CT: comparison of four software applications

Autor: Cristina De Mattia, Federica Campanaro, Federica Rottoli, Paola Enrica Colombo, Andrea Pola, Angelo Vanzulli, Alberto Torresin

Publikováno v: European Radiology Experimental, Vol 4, Iss 1, Pp 1-16 (2020)

Abstract Background Radiation dose in computed tomography (CT) has become a topic of high interest due to the increasing numbers of CT examinations performed worldwide. Hence, dose tracking and organ dose calculation software are increasingly used. W

Externí odkaz: https://doaj.org/article/75c8405378f34b78afa3c004a40de2c7

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Akademický článek

Analysis of a multicentre cloud-based CT dosimetric database: preliminary results

Autor: Francesca Calderoni, Federica Campanaro, Paola Enrica Colombo, Mauro Campoleoni, Cristina De Mattia, Federica Rottoli, Giannicola Galetta, Fabio Zucconi, Andrea Pola, Andrea Righini, Fabio Triulzi, Angelo Vanzulli, Alberto Torresin

Publikováno v: European Radiology Experimental, Vol 3, Iss 1, Pp 1-13 (2019)

Abstract Background To manage and analyse dosimetric data provided by computed tomography (CT) scanners from four Italian hospitals. Methods A radiation dose index monitoring (RDIM) software was used to collect anonymised exams stored in a cloud serv

Externí odkaz: https://doaj.org/article/4f5d14e5931642c6be659795c239a7e1

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