| Sparsity and level set regularization for diffuse optical tomography using a transport model in 2D K Prieto, O Dorn Inverse Problems 33 (1), 014001, 2016 | 42 | 2016 |
| On mobility trends analysis of COVID–19 dissemination in Mexico City K Prieto, MV Chávez–Hernández, JP Romero–Leiton Plos one 17 (2), e0263367, 2022 | 12 | 2022 |
| Parameter estimation, sensitivity and control strategies analysis in the spread of influenza in Mexico K Prieto, E Ibarguen-Mondragon Journal of Physics: Conference Series 1408 (1), 012020, 2019 | 11 | 2019 |
| Current forecast of COVID-19 in Mexico: A Bayesian and machine learning approaches K Prieto Plos one 17 (1), e0259958, 2022 | 8 | 2022 |
| A model on bacterial resistance considering a generalized law of mass action for plasmid replication E Ibargüen-Mondragón, K Prieto, SP HIDALGO-BONILLA Journal of Biological Systems 29 (02), 375-412, 2021 | 6 | 2021 |
| From data to images: A shape based approach for fluorescence tomography O Dorn, KE Prieto Science: Image In Action, 255-266, 2012 | 6 | 2012 |
| A new scheme of the time-domain fluorescence tomography for a semi-infinite turbid medium K Prieto, G Nishimura Optical Review 24, 242-251, 2017 | 5 | 2017 |
| Contribution of Governance and Socioeconomic Factors to the P. aeruginosa MDR in Europe J Riaño-Moreno, JP Romero-Leiton, K Prieto Antibiotics 11 (2), 212, 2022 | 4 | 2022 |
| Current forecast of HIV/AIDS using Bayesian inference K Prieto, JP Romero–Leiton Natural Resource Modeling 34 (4), e12332, 2021 | 2 | 2021 |
| Current forecast of COVID-19: a Bayesian and Machine Learning approaches K Prieto medRxiv, 2020.12. 11.20231829, 2020 | 2 | 2020 |
| Optimal control and Bayes inference applied to complex microbial communities JP Romero-Leiton, K Prieto, D Reyes-Gonzalez, A Fuentes-Hernandez Mathematical Biosciences and Engineering 19 (7), 6860-6882, 2022 | 1 | 2022 |
| Análisis cualitativo de un modelo sobre la dinámica de transmisión de Influenza A MPP de la Cruz, EI Mondragón, K Prieto | 1 | 2020 |
| A novel approach for the time-domain fluorescence imaging of a semi-infinite turbid medium: Monte Carlo evaluation K Prieto, G Nishimura Optical Tomography and Spectroscopy of Tissue XII 10059, 92-99, 2017 | 1 | 2017 |
| Modeling the replication and transfer dynamics of bacterial plasmids in antibiotic resistance E Ibargüen-Mondragón, K Prieto, M Cerón Applied Sciences 24, 155-189, 2022 | | 2022 |
| Governance and socioeconomic factors contributing to antimicrobial resistance in European countries: a data panel and machine-learning analysis J Riaño-Moreno, JP Romero-Leiton, K Prieto Preprints, 2021 | | 2021 |
| On mobility trends analysis of COVID-19 dissemination in Mexico City (preprint) K Prieto, V Chávez-Hernández, J RomeroLeiton | | 2021 |
| Current forecast of COVID-19: a Bayesian and Machine Learning approaches (preprint) K Prieto | | 2020 |
| El aislamiento como estrategia de control ante la prevalencia de la influenza tipo A en San Juan de Pasto MD Moncayo, DA Rojas, K Prieto, EI Mondragón | | 2019 |
| Dissemination of the research towards youth: two activities of Exploratori D Grau, I Torra, E Badia, K Prieto EDULEARN17 Proceedings, 6510-6517, 2017 | | 2017 |
