Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Francesco Dellepiane"'
Autor:
Giulia Moltoni, Giulia Lucignani, Stefania Sgrò, Alessia Guarnera, Maria Camilla Rossi Espagnet, Francesco Dellepiane, Chiara Carducci, Stefano Liberi, Elisabetta Iacoella, Giuliana Evangelisti, Anna Contini, Francesca Campi, Immacolata Savarese, Carlo Gandolfo, Daniela Longo
Publikováno v:
Frontiers in Pediatrics, Vol 12 (2024)
IntroductionMRI examinations in the pediatric population require acquiring motionless images in the safest possible manner. At our institute, we have developed a protocol called “Good Practice” aimed at avoiding anesthesia in newborns and infants
Externí odkaz:
https://doaj.org/article/a230e5c42228480697b76bb3830f475c
Autor:
Andrea Romano, Maria Camilla Rossi-Espagnet, Luca Pasquini, Alberto Di Napoli, Francesco Dellepiane, Giulia Butera, Giulia Moltoni, Olga Gagliardo, Alessandro Bozzao
Publikováno v:
Tomography, Vol 8, Iss 1, Pp 1-9 (2021)
Cerebral venous sinus thrombosis (CVST) on non-contrast CT (NCCT) is often challenging to detect. We retrospectively selected 41 children and 36 adults with confirmed CVST and two age-matched control groups with comparable initial symptoms. We evalua
Externí odkaz:
https://doaj.org/article/c4afefca46c844e090af5ad092c3a15d
Autor:
Luca Pasquini, Antonio Napolitano, Martina Lucignani, Emanuela Tagliente, Francesco Dellepiane, Maria Camilla Rossi-Espagnet, Matteo Ritrovato, Antonello Vidiri, Veronica Villani, Giulio Ranazzi, Antonella Stoppacciaro, Andrea Romano, Alberto Di Napoli, Alessandro Bozzao
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Radiomic models outperform clinical data for outcome prediction in high-grade gliomas (HGG). However, lack of parameter standardization limits clinical applications. Many machine learning (ML) radiomic models employ single classifiers rather than ens
Externí odkaz:
https://doaj.org/article/41f565c7ad4b436b98ef650d7c372b72
Autor:
Francesca Bottino, Martina Lucignani, Antonio Napolitano, Francesco Dellepiane, Emiliano Visconti, Maria Camilla Rossi Espagnet, Luca Pasquini
Publikováno v:
Antioxidants, Vol 10, Iss 9, p 1407 (2021)
Glutathione (GSH) is an important antioxidant implicated in several physiological functions, including the oxidation−reduction reaction balance and brain antioxidant defense against endogenous and exogenous toxic agents. Altered brain GSH levels ma
Externí odkaz:
https://doaj.org/article/8f6e761c2be343db8e49b8bf6aa5f230
Autor:
Andrea Romano, Giulia Moltoni, Francesco Dellepiane, Serena Palizzi, Allegra Romano, Alessia Guarnera, Antonella Stoppacciaro, Michele Aqui, Tamara Ius, Massimo Miscusi, Antonino Raco, Alessandro Bozzao
Publikováno v:
World Neurosurgery.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c7ee5f4261ebf3b3e5adc5d668198e5
https://doi.org/10.1016/j.wneu.2023.05.038
https://doi.org/10.1016/j.wneu.2023.05.038
Autor:
Luca Pasquini, Antonio Napolitano, Martina Lucignani, Emanuela Tagliente, Francesco Dellepiane, Maria Camilla Rossi-Espagnet, Antonello Vidiri, Veronica Villani, Giulio Ranazzi, Antonella Stoppacciaro, Andrea Romano, Alberto Di Napoli, Alessandro Bozzao
BACKGROUND Radiomic models outperform clinical data for outcome prediction in high-grade gliomas (HGG). Many machine learning (ML) radiomic models have been developed, mostly employing single classifiers with variable results. However, comparative an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1af9c7ffef842325f325d7d26b31a2e
https://doi.org/10.2196/preprints.32594
https://doi.org/10.2196/preprints.32594
Autor:
Francesco Dellepiane, Giulia Moltoni, Alessandro Bozzao, Antonello Vidiri, Luca Pasquini, Antonio Napolitano, Giulio Ranazzi, Andrea Romano, Alberto Di Napoli, Antonella Stoppacciaro, Martina Lucignani, Matteo Nicolai, Emanuela Tagliente
Publikováno v:
Journal of Personalized Medicine
Volume 11
Issue 4
Journal of Personalized Medicine, Vol 11, Iss 290, p 290 (2021)
Volume 11
Issue 4
Journal of Personalized Medicine, Vol 11, Iss 290, p 290 (2021)
Isocitrate dehydrogenase (IDH) mutant and wildtype glioblastoma multiforme (GBM) often show overlapping features on magnetic resonance imaging (MRI), representing a diagnostic challenge. Deep learning showed promising results for IDH identification i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb2213c1ad21f6d33c2b5577cff9eda5
http://hdl.handle.net/11573/1563497
http://hdl.handle.net/11573/1563497
Autor:
Martina Lucignani, Luca Pasquini, Veronica Villani, Antonello Vidiri, Alessandro Bozzao, Francesco Dellepiane, Antonio Napolitano, Alberto Di Napoli, Andrea Romano
BACKGROUND AND PURPOSE Glioblastoma (GBM) is an aggressive primary CNS neoplasm with poor overall survival (OS) despite standard of care. On MRI, GBM is usually characterized by an enhancing portion (CET) (surgery target) and a nonenhancing surroundi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3035e4efb6857f9daeafc0997cfc26ce
https://hdl.handle.net/11573/1575527
https://hdl.handle.net/11573/1575527