Publications by authors named "I Osorio"

We present a Python library (Phybers) for analyzing brain tractography data. Tractography datasets contain streamlines (also called fibers) composed of 3D points representing the main white matter pathways. Several algorithms have been proposed to analyze this data, including clustering, segmentation, and visualization methods.

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Purpose: Obesity is a risk factor for developing abdominal wall hernias and is associated with major postoperative complications, such as surgical site infection, delayed wound healing and recurrent hernia. Therefore, treating incisional hernia in this patient subgroup is a challenge.

Methods: We conducted a comparative, prospective study on patients who underwent primary ventral hernia surgery or incisional hernia surgery through the extended totally extraperitoneal pathway, with body mass indices (BMIs) ≤ 30 (no obesity) and BMI > 30 (with obesity).

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Background: The visualization and analysis of brain data such as white matter diffusion tractography and magnetic resonance imaging (MRI) volumes is commonly used by neuro-specialist and researchers to help the understanding of brain structure, functionality and connectivity. As mobile devices are widely used among users and their technology shows a continuous improvement in performance, different types of applications have been designed to help users in different work areas.

Results: We present, ABrainVis, an Android mobile tool that allows users to visualize different types of brain images, such as white matter diffusion tractographies, represented as fibers in 3D, segmented fiber bundles, MRI 3D images as rendered volumes and slices, and meshes.

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Objective: To assess based on a single-center data from a multicenter trial (Stimulation of the Anterior Nucleus for the Thalamus for Epilepsy (SANTE)), the role of anatomical connectivity and other factors (e.g., stimulating electrode placement) on efficacy of electro-therapy of the anterior thalamic nuclei (ATN), a node in Papez network, on pharmaco-resistant seizures.

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