Cargando…
Regional radiomics similarity networks (R2SNs) in the human brain: Reproducibility, small-world properties and a biological basis
A structural covariance network (SCN) has been used successfully in structural magnetic resonance imaging (sMRI) studies. However, most SCNs have been constructed by a unitary marker that is insensitive for discriminating different disease phases. The aim of this study was to devise a novel regional...
Autores principales: | Zhao, Kun, Zheng, Qiang, Che, Tongtong, Dyrba, Martin, Li, Qiongling, Ding, Yanhui, Zheng, Yuanjie, Liu, Yong, Li, Shuyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MIT Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567836/ https://www.ncbi.nlm.nih.gov/pubmed/34746627 http://dx.doi.org/10.1162/netn_a_00200 |
Ejemplares similares
-
Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment
por: Zhao, Kun, et al.
Publicado: (2022) -
Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment (Adv. Sci. 12/2022)
por: Zhao, Kun, et al.
Publicado: (2022) -
Coupling of the spatial distributions between sMRI and PET reveals the progression of Alzheimer’s disease
por: Zhao, Kun, et al.
Publicado: (2023) -
Defining the biological basis of radiomic phenotypes in lung cancer
por: Grossmann, Patrick, et al.
Publicado: (2017) -
AutoRadiomics: A Framework for Reproducible Radiomics Research
por: Woznicki, Piotr, et al.
Publicado: (2022)