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http://cimat.repositorioinstitucional.mx/jspui/handle/1008/1096| A novel robust network community identification method forstructural connectome analysis | |
| Juan Luis Villarreal Haro | |
| Acceso Abierto | |
| Atribución-NoComercial | |
| COMPUTACIÓN MATEMÁTICAS INDUSTRIALES | |
| In complex networks, the communities of a graph are clusters grouped by the connectivity attributes of nodes. Our case study is the brain structural connectomes derived from DW- MRI. Although communities have been widely studied, little has been done to analyze their estimation reproducibility. Here we propose a subject-specific robust method to estimate structural connectome communities. Our proposal successfully groups and separates intra- subject and inter-subject data, respectively. We show the robustness of the method to the variability introduced by: the acquisition noise, image pre-processing, the estimation of the Fiber Orientation Distributions, tractography parameters, and graph construction parameters. | |
| 01-09-2019 | |
| Trabajo de grado, maestría | |
| OTRAS | |
| Versión aceptada | |
| acceptedVersion - Versión aceptada | |
| Aparece en las colecciones: | Tesis del CIMAT |
Cargar archivos:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| TE 800.pdf | 16.51 MB | Adobe PDF | Visualizar/Abrir |