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Agundis-Tinajero BA, Coronado-Ipiña MÁ, Lara-Hernández I, Aparicio-Antonio R, Aguirre-Barbosa A, Barrera-Badillo G, Aréchiga-Ceballos N, López-Martínez I, Castillo CG, Labrada-Martagón V, et al. Deep Learning-Based Automatic Segmentation and Analysis of Mitochondrial Damage by Zika Virus and SARS-CoV-2. Viruses. 2025; 17(9):1272. https://doi.org/10.3390/v17091272

Agundis-Tinajero, Brianda Alexia, Miguel Ángel Coronado-Ipiña, Ignacio Lara-Hernández, Rodrigo Aparicio-Antonio, Anita Aguirre-Barbosa, Gisela Barrera-Badillo, Nidia Aréchiga-Ceballos, Irma López-Martínez, Claudia G Castillo, Vanessa Labrada-Martagón, and et al. 2025. "Deep Learning-Based Automatic Segmentation and Analysis of Mitochondrial Damage by Zika Virus and SARS-CoV-2" Viruses 17, no. 9: 1272. https://doi.org/10.3390/v17091272

Agundis-Tinajero, B. A., Coronado-Ipiña, M. Á., Lara-Hernández, I., Aparicio-Antonio, R., Aguirre-Barbosa, A., Barrera-Badillo, G., Aréchiga-Ceballos, N., López-Martínez, I., Castillo, C. G., Labrada-Martagón, V., Comas-García, M., & Mejía-Rodríguez, A. R. (2025). Deep Learning-Based Automatic Segmentation and Analysis of Mitochondrial Damage by Zika Virus and SARS-CoV-2. Viruses, 17(9), 1272. https://doi.org/10.3390/v17091272