Estimation of deoxygenated and oxygenated hemoglobin by multispectral blind linear unmixing. - Liliana Granados-Castro; Omar Gutierrez-Navarro; Inés A. Cruz-Guerrero; Juan Nicolás Mendoza-Chavarría; Eric R. Zavala-Sánchez; Daniel U. Campos-Delgado (DSD, 2022)

Glioblastoma Classification in Hyperspectral Images by Nonlinear Unmixing. - Juan Nicolás Mendoza-Chavarría; Eric R. Zavala-Sánchez; Liliana Granados-Castro; Inés A. Cruz-Guerrero; Himar Fabelo; Samuel Ortega; Gustavo Marrero Callicó; Daniel U. Campos-Delgado (DSD, 2022)

Nonlinear extended blind end-member and abundance extraction for hyperspectral images. - Daniel U. Campos-Delgado; Inés A. Cruz-Guerrero; Juan Nicolás Mendoza-Chavarría; Aldo R. Mejía-Rodríguez; Samuel Ortega; Himar Fabelo; Gustavo M. Callicó (Signal Process., 2022)

Classification of Brain Tissues in Hyperspectral Images Using Vision Transformers. - Inés A. Cruz-Guerrero; Juan Nicolás Mendoza-Chavarría; Daniel U. Campos-Delgado; Himar Fabelo; Samuel Ortega; Gustavo Marrero Callicó (ISBI, 2023)

Blind non-linear spectral unmixing with spatial coherence for hyper and multispectral images. - Juan Nicolás Mendoza-Chavarría; Inés A. Cruz-Guerrero; Omar Gutierrez-Navarro; Raquel León; Samuel Ortega; Himar Fabelo; Gustavo M. Callicó; Daniel Ulises Campos-Delgado (J. Frankl. Inst., 2024)

Robust and Unified Semi-Supervised Unmixing of Hyperspectral Imaging for Linear and Multilinear Models. - Daniel Ulises Campos-Delgado; Juan Nicolás Mendoza-Chavarría; Omar Gutierrez-Navarro; Laura Quintana; Raquel León; Samuel Ortega; Himar Fabelo; Carlos López 002; Marylène Lejeune; Gustavo M. Callicó (IEEE Access, 2025)

Unified Unsupervised Unmixing With Sparse Noise Estimation for Linear and Multilinear Models. - Daniel Ulises Campos-Delgado; Juan Nicolás Mendoza-Chavarría; Omar Gutierrez-Navarro; Laura Quintana; Gustavo M. Callicó (IEEE Signal Process. Lett., 2025)