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20222025
most citedAutomatic quantification of abdominal subcutaneous and visceral adipose tissue in children, through MRI study, using total intensity maps and Convolutional Neural Networks

3 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

physics.med-ph2025

Left-lateralized reduced white matter structural connectivity in young women with obesity: analysis of graph theory applied to inter-tract correlation matrices

José Gerardo Suárez-García, Eduardo Moreno-Barbosa, Javier M. Hernández-López +2

Objective: Differences in WM structural connectivity were sought by comparing graph measures from young women with normal weight () and obesity ()…

physics.med-ph2024

Novel brain biomarkers of obesity based on statistical measurements of white matter tracts

José Gerardo Suárez-García, María Isabel Antonio-de la Rosa, Nora Coral Soriano-Becerril +2

Novel brain biomarkers of obesity were sought by studying statistical measurements on fractional anisotropy (FA) images of different white matter (WM) tracts from subjects with spe…

physics.med-ph2023★ 3 cited

Automatic quantification of abdominal subcutaneous and visceral adipose tissue in children, through MRI study, using total intensity maps and Convolutional Neural Networks

José Gerardo Suárez-García, Po-Wah So, Javier Miguel Hernández-López +3

Childhood overweight and obesity is one of the main health problems in the world since it is related to the early appearance of different diseases, in addition to being a risk fact…

eess.IV2022★ 1 cited

Brain MRI study for glioma segmentation using convolutional neural networks and original post-processing techniques with low computational demand

José Gerardo Suárez-García Javier Miguel Hernández-López, Eduardo Moreno-Barbosa, Benito de Celis-Alonso

Gliomas are brain tumors composed of different highly heterogeneous histological subregions. Image analysis techniques to identify relevant tumor substructures have high potential…