| Persistence of COVID-19 symptoms after recovery in Mexican population CE Galván-Tejada, CF Herrera-García, S Godina-González, ... International journal of environmental research and public health 17 (24), 9367, 2020 | 93 | 2020 |
| Convolutional neural network for monkeypox detection V Alcalá-Rmz, KE Villagrana-Bañuelos, JM Celaya-Padilla, ... International conference on ubiquitous computing and ambient intelligence …, 2022 | 25 | 2022 |
| Demographic and comorbidities data description of population in Mexico with SARS-CoV-2 infected patients (COVID19): An online tool analysis CE Galván-Tejada, LA Zanella-Calzada, KE Villagrana-Bañuelos, ... International Journal of Environmental Research and Public Health 17 (14), 5173, 2020 | 10 | 2020 |
| Kynurenine and hemoglobin as sex-specific variables in COVID-19 patients: A machine learning and genetic algorithms approach JM Celaya-Padilla, KE Villagrana-Bañuelos, JJ Oropeza-Valdez, ... Diagnostics 11 (12), 2197, 2021 | 7 | 2021 |
| COVID-19 outcome prediction by integrating clinical and metabolic data using machine learning algorithms KE Villagrana-Bañuelos, V Maeda-Gutiérrez, V Alcalá-Rmz, ... Revista de investigación clínica 74 (6), 314-327, 2022 | 6 | 2022 |
| Univariate analysis of short-chain fatty acids related to sudden infant death syndrome CE Galván-Tejada, KE Villagrana-Bañuelos, LA Zanella-Calzada, ... Diagnostics 10 (11), 896, 2020 | 6 | 2020 |
| Machine learning model based on lipidomic profile information to predict sudden infant death syndrome KE Villagrana-Bañuelos, CE Galván-Tejada, JI Galván-Tejada, ... Healthcare 10 (7), 1303, 2022 | 5 | 2022 |
| Advances in Soft Computing L Martínez-Villaseñor, O Herrera-Alcántara, H Ponce, FAC Espinoza Springer, 2020 | 2* | 2020 |
| towards Esophagitis and Barret’s Esophagus Endoscopic Images Classification: An Approach with Deep Learning Techniques KE Villagrana-Bañuelos, V Alcalá-Rmz, JM Celaya-Padilla, ... International Conference on Ubiquitous Computing and Ambient Intelligence …, 2022 | 1 | 2022 |
| Comparison of Three Supervised Machine Learning Classification Methods for the Diagnosis of PD R Villagrana-Bañuelos, KE Villagrana-Bañuelos, MAS Murillo, ... International Conference on Ubiquitous Computing and Ambient Intelligence …, 2022 | 1 | 2022 |
| Fatty chain acids risk factors in sudden infant death syndrome: A genetic algorithm approach KE Villagrana-Bañuelos, LA Zanella-Calzada, IE Gonzalez-Curiel, ... Mexican International Conference on Artificial Intelligence, 235-245, 2020 | 1 | 2020 |
| Classification of Heart Health by LPC and MFCC Coefficients and Statistical Features MA Soto-Murillo, KE Villagrana Bañuelos, JG Rodriguez-Ruiz, ... VIII Latin American Conference on Biomedical Engineering and XLII National …, 2020 | 1 | 2020 |
| Breastfeeding and Caries. A Relationship Analysis to Develop a Computer-Assisted Diagnosis Using Random Forest LA Zanella-Calzada, CE Galván-Tejada, NM Chávez-Lamas, ... Mexican Conference on Pattern Recognition, 325-334, 2021 | | 2021 |
| Evaluación de cuatro clasificadores para el reconocimiento de síndrome de muerte súbita del lactante utilizando ácidos grasos de cadena corta como fuente de información. KE Villagrana-Banuelos, LA Zanella-Calzada, CE Galván-Tejada, ... Res. Comput. Sci. 149 (8), 1061-1071, 2020 | | 2020 |
| Classification of Heart Health by LPC MA Soto-Murillo, KEV Bañuelos VIII Latin American Conference on Biomedical Engineering and XLII National …, 2019 | | 2019 |
| Evaluation of Efficiency in Segmenting Barrett's Esophagus Images by Neural Network Models. Integration in Low-Power Embedded Systems MS Soriano-Garcia, JR Sevilla Escoboza, CE Galvan-Tejada, ... Integration in Low-Power Embedded Systems, 0 | | |
| Persistence of COVID-19 Symptoms after Recovery in Mexican Population | | |
Carlos Eric Galván TejadaProfesor Investigador UAZDirección de correo verificada de uaz.edu.mx
