Zobrazeno 1 - 6 of 6 pro vyhledávání: '"Jon, Riolo"'
1
Akademický článek
Thalamic atrophy and dysconnectivity are associated with cognitive impairment in a multi-center, clinical routine, real-word study of people with relapsing-remitting multiple sclerosis
Autor: Robert Zivadinov, Niels Bergsland, Dejan Jakimovski, Bianca Weinstock-Guttman, Lorena Lorefice, Menno M. Schoonheim, Sarah A. Morrow, Mary Ann Picone, Gabriel Pardo, Myassar Zarif, Mark Gudesblatt, Jacqueline A. Nicholas, Andrew Smith, Samuel Hunter, Stephen Newman, Mahmoud A. AbdelRazek, Ina Hoti, Jon Riolo, Diego Silva, Tom A. Fuchs, Michael G. Dwyer, Ralph HB. Benedict
Publikováno v: NeuroImage: Clinical, Vol 42, Iss , Pp 103609- (2024)
Background: Prior research has established a link between thalamic pathology and cognitive impairment (CI) in people with multiple sclerosis (pwMS). However, the translation of these findings to pwMS in everyday clinical settings has been insufficien
Externí odkaz: https://doaj.org/article/457ddb7a61bd4878b591acf720e64c6a
Zobrazit plný text záznamu
2
Akademický článek
DeepGRAI (Deep Gray Rating via Artificial Intelligence): Fast, feasible, and clinically relevant thalamic atrophy measurement on clinical quality T2-FLAIR MRI in multiple sclerosis
Autor: Michael Dwyer, Cassondra Lyman, Hannah Ferrari, Niels Bergsland, Tom A. Fuchs, Dejan Jakimovski, Ferdinand Schweser, Bianca Weinstock-Guttmann, Ralph H.B. Benedict, Jon Riolo, Diego Silva, Robert Zivadinov
Publikováno v: NeuroImage: Clinical, Vol 30, Iss , Pp 102652- (2021)
Background: Thalamic volume loss is a key marker of neurodegeneration in multiple sclerosis (MS). T2-FLAIR MRI is a common denominator in clinical routine MS imaging, but current methods for thalamic volumetry are not applicable to it. Objective: To
Externí odkaz: https://doaj.org/article/3bfd81a320ea4849822ce78b7fe0dd7f
Zobrazit plný text záznamu
3
Thalamic atrophy measured by artificial intelligence in a multicentre clinical routine real-world study is associated with disability progression
Autor: Robert, Zivadinov, Niels, Bergsland, Dejan, Jakimovski, Bianca, Weinstock-Guttman, Ralph H B, Benedict, Jon, Riolo, Diego, Silva, Michael G, Dwyer, Barry, Singer
Publikováno v: Journal of Neurology, Neurosurgery & Psychiatry. 93:1128-1136
BackgroundThe thalamus is a key grey matter structure, and sensitive marker of neurodegeneration in multiple sclerosis (MS). Previous reports indicated that thalamic volumetry using artificial intelligence (AI) on clinical-quality T2-fluid-attenuated
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a46f9ad80729c93c0adb763f5e8174f
https://doi.org/10.1136/jnnp-2022-329333
Zobrazit plný text záznamu
5
DeepGRAI (Deep Gray Rating via Artificial Intelligence): Fast, feasible, and clinically relevant thalamic atrophy measurement on clinical quality T2-FLAIR MRI in multiple sclerosis
Autor: Cassondra Lyman, Diego Silva, Dejan Jakimovski, Tom A. Fuchs, Bianca Weinstock-Guttmann, Robert Zivadinov, Michael G. Dwyer, Ferdinand Schweser, Niels Bergsland, Ralph H.B. Benedict, Jon Riolo, Hannah Ferrari
Publikováno v: NeuroImage : Clinical
NeuroImage: Clinical, Vol 30, Iss, Pp 102652-(2021)
Highlights • We describe a deep learning approach for thalamic measurement on clinical T2-FLAIR. • The algorithm performs comparably to FSL FIRST on high resolution T1. • Clinical relevance on disability and cognition is confirmed.
Backgro
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a8312858bb9e0e3960e70ff380add61
http://europepmc.org/articles/PMC8080069
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje