Stéren Chabert

16 papers C 3Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Performance comparison of supervised and unsupervised deep learning models for ischemic lesion detection and segmentation in stroke non-contrast CT images.
SIPAIM
Constanza Rodriguez, Felipe Estay, David Ortiz, Hermes Mora, Rodrigo Salas, Stéren Chabert
2025 J jnl
Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation.
Frontiers Neuroinformatics
Leondry Mayeta-Revilla, Eduardo Cavieres, Matias Salinas, Diego Mellado, Sebastian Ponce, Francisco Torres Moyano, Stéren Chabert, Marvin Querales, Julio Sotelo, Rodrigo Salas
2025 — conf
Visual Explainability of Attention U-Net for Brain Tumor Segmentation in Multicontrast Magnetic Resonance Images.
SIPAIM
Gabriel Guerra, Esthefanía Astargo, Diego Mellado, Leondry Mayeta, Stéren Chabert, David Ortiz, Rodrigo Salas
2024 J jnl
Benchmarking YOLO Models for Intracranial Hemorrhage Detection Using Varied CT Data Sources.
IEEE Access
Gonzalo Tapia, Héctor Allende-Cid, Stéren Chabert, Domingo Mery, Rodrigo Salas
2024 J jnl
Knowledge-slanted random forest method for high-dimensional data and small sample size with a feature selection application for gene expression data.
BioData Min.
Erika Cantor, Sandra Guauque-Olarte, Roberto León, Stéren Chabert, Rodrigo Salas
2024 — conf
Multilabel Classification of Intracranial Hemorrhages Using Deep Learning and Preprocessing Techniques on Non-contrast CT Images.
CIARP (2)
Rodrigo Salas, Juan Sebastian Castro, Marvin Querales, Carolina Saavedra, Claudia Prieto, Stéren Chabert
2023 — conf
A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings.
SIPAIM
Diego Mellado, Marvin Querales, Julio Sotelo, Eduardo Godoy, Fabian Pardo, Scarlett Lever, Stéren Chabert, Rodrigo Salas
2023 — conf
Torwards Trustworthy Machine Learning based systems: Evaluating breast cancer predictions interpretability using Human Centered Machine Learning and UX Techniques.
HCI (47)
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, Julio Sotelo, Stéren Chabert, Rodrigo Salas
2022 J jnl
A Step Forward to Formalize Tailored to Problem Specificity Mathematical Transforms.
Frontiers Appl. Math. Stat.
Antonio Glaría, Rodrigo Salas, Stéren Chabert, Pablo Roncagliolo, Alexis Arriola, Gonzalo Tapia, Matias Salinas, Herman Zepeda, Carla Taramasco, Kayode Oshinubi, Jacques Demongeot
2020 J jnl
Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis.
IEEE Trans. Fuzzy Syst.
Alejandro Veloz, Claudio Moraga, Alejandro J. Weinstein, Luis Hernandez-Garcia, Stéren Chabert, Rodrigo Salas, Rodrigo Riveros, Carlos Bennett, Héctor Allende
2019 — conf
Convolutional neural networks for detection intracranial hemorrhage in CT images.
CRoNe
Juan Sebastian Castro, Stéren Chabert, Carolina Saavedra, Rodrigo Salas
2019 J jnl
Self-Improving Generative Artificial Neural Network for Pseudorehearsal Incremental Class Learning.
Algorithms
Diego Mellado, Carolina Saavedra, Stéren Chabert, Romina Torres, Rodrigo Salas
2018 C conf
Circular Non-uniform Sampling Patch Inputs for CNN Applied to Multiple Sclerosis Lesion Segmentation.
CIARP
Gustavo Ulloa, Rodrigo Naranjo, Héctor Allende-Cid, Stéren Chabert, Héctor Allende
2016 — conf
Fitting Human Decision Making Models using Python.
SciPy
Alejandro J. Weinstein, Wael El-Deredy, Stéren Chabert, Myriam Fuentes
2008 C conf
Self-Organizing Neuro-Fuzzy Inference System.
CIARP
Héctor Allende-Cid, Alejandro Veloz, Rodrigo Salas, Stéren Chabert, Héctor Allende
2007 C conf
Fuzzy Spatial Growing for Glioblastoma Multiforme Segmentation on Brain Magnetic Resonance Imaging.
CIARP
Alejandro Veloz, Stéren Chabert, Rodrigo Salas, Antonio Orellana, Juan Vielma