Correction: Agundis-Tinajero et al. Deep Learning-Based Automatic Segmentation and Analysis of Mitochondrial Damage by Zika Virus and SARS-CoV-2. Viruses 2025, 17, 1272
In the original publication [1], Figure 1b was previously published by the authors in the PLoS One, but the citation (reference 14) was inadvertently omitted [...].
Authors
- Rodrigo Aparicio‐Antonio (ORCID: https://orcid.org/0000-0002-0873-5410)
- Miguel Ángel Coronado-Ipiña
- Ignacio Lara-Hernández (ORCID: https://orcid.org/0009-0009-2053-5671)
- Aldo R. Mejía‐Rodríguez (ORCID: https://orcid.org/0000-0003-0704-0681)
- Mauricio Comas‐García (ORCID: https://orcid.org/0000-0002-7733-5138)
- Irma López‐Martínez (ORCID: https://orcid.org/0000-0002-0538-474X)
- Vanessa Labrada‐Martagón (ORCID: https://orcid.org/0000-0001-8853-5541)
- Nidia Aréchiga-Ceballos (ORCID: https://orcid.org/0000-0002-7450-3060)
- Gisela Barrera-Badillo (ORCID: https://orcid.org/0000-0002-8760-2455)
- Claudia G. Castillo (ORCID: https://orcid.org/0000-0003-0796-4980)
- Brianda Alexia Agundis-Tinajero
- Anita Aguirre-Barbosa (ORCID: https://orcid.org/0009-0003-0374-9404)
Institutions
- Autonomous University of San Luis Potosí (MX)
- Departamento de Epidemiología (GT)
Publication Details
- Journal
- Viruses
- Published
- 2025-11-20
- DOI
- https://doi.org/10.3390/v17111520
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00