Emma Muñoz-Moreno

Jan 15, 2025 | biorxiv.org | Daniel Soler |Mohamed Selim |Patricia Martinez-Tazo |Emma Muñoz-Moreno

AbstractAccurate brain extraction is a critical step in the analysis of rodent head magnetic resonance imaging (MRI) data. However, current methods often encounter difficulties in handling the diverse range of imaging setups, resolutions, and experimental conditions commonly found in this field. SAMson (SAM for Segmentation Of Neuroimages) is an automated tool based on the Segment Anything Model (SAM), designed for robust rodent brain extraction.

Mar 10, 2024 | biorxiv.org | Daniel Soler |Mohamed Selim |Emma Muñoz-Moreno |Pedro Ramos-Cabrer

AbstractBrain extraction, i.e. the precise removal of MRI signal outside the brain boundaries, is a key step in MRI preprocessing pipelines, typically achieved via masks delineating the region of interest (ROI). Existing automated tools often lack accuracy for rodent MRI due to resolution limitations, so large manual editing efforts are required. This work introduces SAMson, a high-precision automated mask generator built on Meta AI′s Segment-Anything Model (SAM).