Combinación de rankings como método para la identificación de biomarcadores de vaginosis bacteriana. - Jesús Francisco Pérez-Gómez; Juana Canul-Reich; Erick De-La-Cruz-Hernandez (Res. Comput. Sci., 2020)

An Enhanced Method for Diagnosis of Bacterial Vaginosis based on Support Vector Machines with Linear Kernel. - Jesús Francisco Pérez-Gómez; Juana Canul-Reich; Erick De-La-Cruz-Hernandez (Int. J. Comb. Optim. Probl. Informatics, 2021)

Minería de secuencias de ADN para identificación de bacterias asociadas con Vaginosis Bacteriana. - Freddy Garcia-Fuentes; Juana Canul-Reich; Erick De-La-Cruz-Hernandez; Betania Hernández-Ocaña; Oscar Chávez-Bosquez (Res. Comput. Sci., 2021)

Analysis of Bacterial Association Patterns that trigger Bacterial Vaginosis. - Freddy De la Cruz-Ruiz; Juana Canul-Reich; Erick De-La-Cruz-Hernandez; Rafael Rivera-López (Int. J. Comb. Optim. Probl. Informatics, 2022)

An agglomerative hierarchical clustering approach to identify coexisting bacteria in groups of bacterial vaginosis patients. - Henry Jesús Hernández-Gómez; Juana Canul-Reich; Betania Hernández-Ocaña; Erick De-La-Cruz-Hernandez (Intell. Data Anal., 2023)

Explainable AI Through Decision Trees for Black-Box Models Used to Support Bacterial Vaginosis Diagnosis. - Rafael Rivera-López; Juana Canul-Reich; Erick De-La-Cruz-Hernandez; Héctor Gibrán Ceballos-Cancino; Efrén Mezura-Montes; Marco Antonio Cruz-Chávez (MICAI (Workshops 2), 2024)

Explainable Diagnosis of Bacterial Vaginosis: A Hierarchical Approach Based on XAI. - Fidencio Alarcón-López; Krissel Ofelia Pesqueira-Ramzahuer; Rafael Rivera-López; Noemi del Carmen Tenorio-Prieto; Erick De-La-Cruz-Hernandez; Juana Canul-Reich (MCPR, 2025)