Delfina Braggio
Contact
delfinabraggio@pladema.exa.unicen.edu.ar
Pladema (new wing)
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Bio
Delfina Braggio (Delfi) is an Assistant Researcher at CIC-PBA. She holds a PhD in Computational and Industrial Mathematics from UNICEN (2022), which she pursued with a doctoral scholarship from CONICET. She also worked as a Postdoctoral Research Associate funded by CONICET. Her research focuses on analyzing brain images from both mice and humans using VBM (Voxel-Based Morphometry) and machine learning techniques. More recently, she has started working on the characterization of cortical and subcortical brain structures using machine learning models.
Relevant publications
A Self-supervised Deep Learning Model for Diagonal Sulcus Detection with Limited Labeled Data
Delfina Braggio, Hernán Külsgaard, Mariana Vallejo-Azar, Mariana Bendersky, Paula González, Lucía Alba-Ferrara, José Ignacio Orlando, Ignacio Larrabide
Neuroinformatics. 2025
VBM sensitivity to localization and extent of mouse brain lesions: A simulation approach
Delfina Braggio, Jimena Barbeito-Andrés, Paula Gonzalez, Benedikt Hallgrímsson, Ignacio Larrabide
Computer Methods and Programs in Biomedicine, 2020
A study of single subject VBM and DARTEL on healthy subjects
Hernán Kulsgaard, Delfina Braggio, M. Bendersky, L. A. Ferrara, Ignacio Larrabide
14th International Symposium on Medical Information Processing and Analysis, 2018
Fine tuning VBM for mouse brain analysis: model adjustment using atrophy simulation
Delfina Braggio, J. Barbeito-Andrés, P. Gonzalez, Ignacio Larrabide
14th International Symposium on Medical Information Processing and Analysis, 2018