Modelos de aprendizaje automático para clasificar patologías oculares en imágenes de fondo de ojo como prueba de tamizaje. - Miguel Ángel Méndez Lucero; E. Mahuina Campos Castolo; Dania N. Lima Sánchez; Josué Fabricio Urbina González; Orlando Cerón Solís; Alejandro Alayola-Sansores; German Fajardo Dolci (Res. Comput. Sci., 2020)

Use of artificial intelligence to evaluate the detection of alterations in the retina as a screening test in Mexican patients. - Dania Nimbe Lima-Sánchez; Moises Argueta-Santillan; E. Mahuina Campos Castolo; Miguel Ángel Méndez Lucero; Josué Fabricio Urbina González; Orlando Cerón Solís; Alejandro Alayola-Sansores; German Fajardo Dolci (Int. J. Comb. Optim. Probl. Informatics, 2021)

Signal Perceptron: On the Identifiability of Boolean Function Spaces and Beyond. - Miguel Ángel Méndez Lucero; Rafael-Michael Karampatsis; Enrique Bojorquez Gallardo; Vaishak Belle (Frontiers Artif. Intell., 2022)

Boolean Connectives and Deep Learning: Three Interpretations. - Miguel Ángel Méndez Lucero; Vaishak Belle (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Semantic Objective Functions: A Distribution-Aware Method for Adding Logical Constraints in Deep Learning. - Miguel Ángel Méndez Lucero; Enrique Bojorquez Gallardo; Vaishak Belle (ICAART (3), 2025)