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Items: 10

1.

Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks.

Alcalá-Rmz V, Zanella-Calzada LA, Galván-Tejada CE, García-Hernández A, Cruz M, Valladares-Salgado A, Galván-Tejada JI, Gamboa-Rosales H.

Int J Environ Res Public Health. 2019 Jan 29;16(3). pii: E381. doi: 10.3390/ijerph16030381.

2.

Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar Patients.

Zanella-Calzada LA, Galván-Tejada CE, Chávez-Lamas NM, Gracia-Cortés MDC, Magallanes-Quintanar R, Celaya-Padilla JM, Galván-Tejada JI, Gamboa-Rosales H.

Diagnostics (Basel). 2019 Jan 10;9(1). pii: E8. doi: 10.3390/diagnostics9010008.

3.

Deep Artificial Neural Networks for the Diagnostic of Caries Using Socioeconomic and Nutritional Features as Determinants: Data from NHANES 2013⁻2014.

Zanella-Calzada LA, Galván-Tejada CE, Chávez-Lamas NM, Rivas-Gutierrez J, Magallanes-Quintanar R, Celaya-Padilla JM, Galván-Tejada JI, Gamboa-Rosales H.

Bioengineering (Basel). 2018 Jun 18;5(2). pii: E47. doi: 10.3390/bioengineering5020047.

4.

A Case⁻Control Study of Socio-Economic and Nutritional Characteristics as Determinants of Dental Caries in Different Age Groups, Considered as Public Health Problem: Data from NHANES 2013⁻2014.

Zanella-Calzada LA, Galván-Tejada CE, Chávez-Lamas NM, Gracia-Cortés MDC, Moreno-Báez A, Arceo-Olague JG, Celaya-Padilla JM, Galván-Tejada JI, Gamboa-Rosales H.

Int J Environ Res Public Health. 2018 May 10;15(5). pii: E957. doi: 10.3390/ijerph15050957.

5.

Speed Bump Detection Using Accelerometric Features: A Genetic Algorithm Approach.

Celaya-Padilla JM, Galván-Tejada CE, López-Monteagudo FE, Alonso-González O, Moreno-Báez A, Martínez-Torteya A, Galván-Tejada JI, Arceo-Olague JG, Luna-García H, Gamboa-Rosales H.

Sensors (Basel). 2018 Feb 3;18(2). pii: E443. doi: 10.3390/s18020443.

6.

[-25]A Similarity Analysis of Audio Signal to Develop a Human Activity Recognition Using Similarity Networks.

García-Hernández A, Galván-Tejada CE, Galván-Tejada JI, Celaya-Padilla JM, Gamboa-Rosales H, Velasco-Elizondo P, Cárdenas-Vargas R.

Sensors (Basel). 2017 Nov 21;17(11). pii: E2688. doi: 10.3390/s17112688.

7.

Multivariate Feature Selection of Image Descriptors Data for Breast Cancer with Computer-Assisted Diagnosis.

Galván-Tejada CE, Zanella-Calzada LA, Galván-Tejada JI, Celaya-Padilla JM, Gamboa-Rosales H, Garza-Veloz I, Martinez-Fierro ML.

Diagnostics (Basel). 2017 Feb 14;7(1). pii: E9. doi: 10.3390/diagnostics7010009.

8.

Multivariate Radiological-Based Models for the Prediction of Future Knee Pain: Data from the OAI.

Galván-Tejada JI, Celaya-Padilla JM, Treviño V, Tamez-Peña JG.

Comput Math Methods Med. 2015;2015:794141. doi: 10.1155/2015/794141. Epub 2015 Oct 4.

9.

Infrastructure-Less Indoor Localization Using the Microphone, Magnetometer and Light Sensor of a Smartphone.

Galván-Tejada CE, García-Vázquez JP, Galván-Tejada JI, Delgado-Contreras JR, Brena RF.

Sensors (Basel). 2015 Aug 18;15(8):20355-72. doi: 10.3390/s150820355.

10.

Magnetization-prepared rapid acquisition with gradient echo magnetic resonance imaging signal and texture features for the prediction of mild cognitive impairment to Alzheimer's disease progression.

Martinez-Torteya A, Rodriguez-Rojas J, Celaya-Padilla JM, Galván-Tejada JI, Treviño V, Tamez-Peña J.

J Med Imaging (Bellingham). 2014 Oct;1(3):031005. doi: 10.1117/1.JMI.1.3.031005. Epub 2014 Sep 15.

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