Fuzzy Spatial Growing for Glioblastoma Multiforme Segmentation on Brain Magnetic Resonance Imaging. - Alejandro Veloz; Stéren Chabert; Rodrigo Salas 001; Antonio Orellana; Juan Vielma (CIARP, 2007)

Self-Organizing Neuro-Fuzzy Inference System. - Héctor Allende-Cid; Alejandro Veloz; Rodrigo Salas 001; Stéren Chabert; Héctor Allende (CIARP, 2008)

Fitting Human Decision Making Models using Python. - Alejandro J. Weinstein; Wael El-Deredy; Stéren Chabert; Myriam Fuentes (SciPy, 2016)

Circular Non-uniform Sampling Patch Inputs for CNN Applied to Multiple Sclerosis Lesion Segmentation. - Gustavo Ulloa; Rodrigo Naranjo; Héctor Allende-Cid; Stéren Chabert; Héctor Allende (CIARP, 2018)

Convolutional neural networks for detection intracranial hemorrhage in CT images. - Juan Sebastian Castro; Stéren Chabert; Carolina Saavedra; Rodrigo Salas 001 (CRoNe, 2019)

Self-Improving Generative Artificial Neural Network for Pseudorehearsal Incremental Class Learning. - Diego Mellado; Carolina Saavedra; Stéren Chabert; Romina Torres; Rodrigo Salas 001 (Algorithms, 2019)

Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis. - Alejandro Veloz; Claudio Moraga; Alejandro J. Weinstein; Luis Hernandez-Garcia; Stéren Chabert; Rodrigo Salas 001; Rodrigo Riveros; Carlos Bennett; Héctor Allende (IEEE Trans. Fuzzy Syst., 2020)

A Step Forward to Formalize Tailored to Problem Specificity Mathematical Transforms. - Antonio Glaría; Rodrigo Salas 001; Stéren Chabert; Pablo Roncagliolo; Alexis Arriola; Gonzalo Tapia; Matias Salinas; Herman Zepeda; Carla Taramasco; Kayode Oshinubi; Jacques Demongeot (Frontiers Appl. Math. Stat., 2022)

Torwards Trustworthy Machine Learning based systems: Evaluating breast cancer predictions interpretability using Human Centered Machine Learning and UX Techniques. - Jonathan Ugalde; Eduardo Godoy; Diego Mellado; Eduardo Cavieres; Bastian Carvajal; Carlos Fernández; Pamela Illescas; Rodrigo H. Avaria; Claudia Díaz; Rodrigo Ferreira; Marvin Querales; Scarlett Lever; et al. (HCI (47), 2023)

A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings. - Diego Mellado; Marvin Querales; Julio Sotelo; Eduardo Godoy; Fabian Pardo; Scarlett Lever; Stéren Chabert; Rodrigo Salas 001 (SIPAIM, 2023)

Multilabel Classification of Intracranial Hemorrhages Using Deep Learning and Preprocessing Techniques on Non-contrast CT Images. - Rodrigo Salas 001; Juan Sebastian Castro; Marvin Querales; Carolina Saavedra; Claudia Prieto; Stéren Chabert (CIARP (2), 2024)

Benchmarking YOLO Models for Intracranial Hemorrhage Detection Using Varied CT Data Sources. - Gonzalo Tapia; Héctor Allende-Cid; Stéren Chabert; Domingo Mery; Rodrigo Salas 001 (IEEE Access, 2024)

Knowledge-slanted random forest method for high-dimensional data and small sample size with a feature selection application for gene expression data. - Erika Cantor; Sandra Guauque-Olarte; Roberto León; Stéren Chabert; Rodrigo Salas 001 (BioData Min., 2024)

Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation. - Leondry Mayeta-Revilla; Eduardo Cavieres; Matias Salinas; Diego Mellado; Sebastian Ponce; Francisco Torres Moyano; Stéren Chabert; Marvin Querales; Julio Sotelo; Rodrigo Salas 001 (Frontiers Neuroinformatics, 2025)