Jorge I. Galván-Tejada

65 papers Journal 34Unranked 31

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Analysis and Processing of Driver Behavior for Emotion Recognition. Inteligencia Artif. Carlos H. Espino-Salinas, Huizilopoztli Luna-García, José M. Celaya-Padilla, Jorge A. Morgan-Benita, Ana Gabriela Sánchez Reyna, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales
2025	J	`jnl`	CBIS-DDSM-R: A Curated Radiomic Feature Dataset for Breast Cancer Classification. Data Erika Sánchez-Femat, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Huizilopoztli Luna-García, Luis Alberto Flores-Chaires, Javier Saldívar-Pérez, Rafael Reveles-Martínez, José M. Celaya-Padilla
2025	J	`jnl`	Detection of ovarian cancer using a methodology with feature extraction and selection with genetic algorithms and machine learning. Netw. Model. Anal. Health Informatics Bioinform. Samara Acosta-Jiménez, Miguel M. Mendoza-Mendoza, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, Antonio García-Domínguez, Hamurabi Gamboa-Rosales, Roberto Solís-Robles
2025	J	`jnl`	Synthetic Data Generation for Microalgal Cultivation Using Variational Autoencoders, GANs, and Copula-Based Models: A Case Study on Nannochloropsis Oculata. IEEE Access Antonio García-Domínguez, Hans Christian Correa-Aguado, Carlos Eric Galván-Tejada, Gloria Viviana Cerrillo-Rojas, Jacqueline S. Ortiz-Letechipia, Jorge I. Galván-Tejada
2024	—	`conf`	Femoral Head Surface Segmentation Using Ultrasound Images as Input Source: A Local Phase and Rigid Filtering Approach. ARTIIS Workshops (1) Eduardo de Avila-Armenta, José María Celaya-Padilla, Robert B. A. Adamson, Gamaliel Moreno-Chávez, Antonio Martínez-Torteya, Manuel A. Soto Murillo, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, Erika Acosta-Cruz, Osvaldo Moreno-Terrazas, Miguel A. Cid-Baez, Diana L. Jácome-Cadena
2024	—	`conf`	MRI-Based Brain Tumor Classification: A Texture Analysis and Machine Learning Approach. ARTIIS Workshops (1) J. Manuel Mercado-Blanco, Manuel A. Soto Murillo, Jorge I. Galván-Tejada, Gamaliel Moreno, Carlos Eric Galván-Tejada, Eduardo de Avila-Armenta, Jesus F. Pacheco-Marquez
2024	J	`jnl`	Selección de características y optimización de hiperparámetros para la mejora en la clasificación del cáncer de próstata. Res. Comput. Sci. Andrea G. Plascencia-Rodríguez, Manuel A. Soto Murillo, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada
2024	J	`jnl`	Synthetic data analysis for early detection of Alzheimer progression through machine learning algorithms. PeerJ Comput. Sci. Ana Gabriela Sánchez Reyna, Ricardo Mendoza González, Huizilopoztli Luna-García, José María Celaya-Padilla, Jorge A. Morgan-Benita, Carlos H. Espino-Salinas, Jorge I. Galván-Tejada, David Rondon, Klinge Villalba-Condori
2024	—	`conf`	Ultrasound Bone Surface Segmentation for Hip Joint Arthroscopy: Evaluating a Local Phase-Based and a Rigid Object Filtering in a Simulated Environment. MCPR Eduardo de Avila-Armenta, José M. Celaya-Padilla, Robert B. A. Adamson, Gamaliel Moreno-Chávez, Antonio Martínez-Torteya, Manuel A. Soto Murillo, Diana L. Jácome-Cadena, Jorge I. Galván-Tejada, M. Hazael Guerrero-Flores, Miguel A. Cid-Baez
2023	J	`jnl`	Detection of Pedestrians in Reverse Camera Using Multimodal Convolutional Neural Networks. Sensors Luis C. Reveles-Gomez, Huizilopoztli Luna-García, José M. Celaya-Padilla, Cristian Barría Huidobro, Hamurabi Gamboa-Rosales, Roberto Solis-Robles, José G. Arceo-Olague, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, David Rondon, Klinge Orlando Villalba-Condori
2023	J	`jnl`	Driver Identification Using Statistical Features of Motor Activity and Genetic Algorithms. Sensors Carlos H. Espino-Salinas, Huizilopoztli Luna-García, José M. Celaya-Padilla, Jorge A. Morgan-Benita, Cesar Gonzalo Vera-Vásquez, Wilson J. Sarmiento, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Klinge Orlando Villalba-Condori
2023	—	`conf`	Evaluation of Four Classification Algorithms Applied to Detection of Poisonous Mushrooms. UCAmI (2) Jacqueline S. Ortiz-Letechipia, Ricardo Villagrana-Bañuelos, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, José M. Celaya-Padilla
2023	J	`jnl`	Hacia la predicción de pacientes con diabetes: Comparación de algoritmos de aprendizaje automático. Res. Comput. Sci. Edgar García-Quezada, Carlos Eric Galván-Tejada, José M. Celaya-Padilla, Irma E. Gonzalez-Curiel, Jorge I. Galván-Tejada
2022	J	`jnl`	Aprendizaje automático para identificar episodios de esquizofrenias tratadas con clozapina. Res. Comput. Sci. Julieta G. Rodríguez-Ruiz, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, José M. Celaya-Padilla
2022	—	`conf`	Convolutional Neural Network for Monkeypox Detection. UCAmI Vanessa Alcalá-Rmz, Karen E. Villagrana-Bañuelos, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Carlos Eric Galván-Tejada
2022	—	`conf`	Design of Mobile Application Prototype for the care and monitoring of patients with Multiple Sclerosis. HCI-COLLAB Wilder González-Díaz, Huizilopoztli Luna-García, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, César A. Collazos
2022	J	`jnl`	Detección de nefropatía como complicación en pacientes diabéticos de tipo II mediante el uso de la regresión logística. Res. Comput. Sci. Man Kit Liao-Li, José María Celaya-Padilla, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Huizilopoztli Luna-García, Hamurabi Gamboa-Rosales, Miguel Cruz
2022	J	`jnl`	Predicción de enfermedades cardíacas derivadas de diabetes, mediante algoritmos genéticos: caso de estudio. Res. Comput. Sci. Isamar Aparicio-Montelongo, José M. Celaya-Padilla, Huizilopoztli Luna-García, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales
2022	—	`conf`	Towards Esophagitis and Barret's Esophagus Endoscopic Images Classification: An Approach with Deep Learning Techniques. UCAmI Karen E. Villagrana-Bañuelos, Vanessa Alcalá-Rmz, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Carlos Eric Galván-Tejada
2021	J	`jnl`	Aprendizaje automático para la detección de cáncer de mama. Res. Comput. Sci. María de la Luz Escobar, José Ismael de la Rosa Vargas, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, José M. Celaya-Padilla
2021	—	`conf`	Breastfeeding and Caries. A Relationship Analysis to Develop a Computer-Assisted Diagnosis Using Random Forest. MCPR Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Nubia M. Chávez-Lamas, Karen E. Villagrana-Bañuelos, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales
2021	—	`conf`	Desktop Application for Water Quality Prediction and Monitoring System Using ISO 9241-210 and Machine Learning Techniques. HCI-COLLAB Maximiliano Guzman-Fernandez, Huizilopoztli Luna-García, César A. Collazos, Wilson J. Sarmiento, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Carlos Eric Galván-Tejada, José M. Celaya-Padilla, Misael Zambrano-de la Torre, J. Guadalupe Lara-Cisneros
2021	J	`jnl`	In-Vehicle Alcohol Detection Using Low-Cost Sensors and Genetic Algorithms to Aid in the Drinking and Driving Detection. Sensors José M. Celaya-Padilla, Jonathan S. Romero-González, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Huizilopoztli Luna-García, José G. Arceo-Olague, Nadia Karina Gamboa-Rosales, Claudia Sifuentes-Gallardo, Antonio Martínez-Torteya, José Ismael de la Rosa Vargas, Hamurabi Gamboa-Rosales
2020	J	`jnl`	Classification of Depressive Episodes Using Nighttime Data; a Multivariate and Univariate Analysis. Program. Comput. Softw. Julieta G. Rodríguez-Ruiz, Carlos Eric Galván-Tejada, Sodel Vázquez-Reyes, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales
2020	J	`jnl`	Creation and Implementation of a Serious Game to Detect Depression in Young People and Children. Res. Comput. Sci. José Jimenez Peralta, Jaime del Angel, Alberto Ochoa, Antonio García-Domínguez, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada
2020	J	`jnl`	Deep artificial neural network based on environmental sound data for the generation of a children activity classification model. PeerJ Comput. Sci. Antonio García-Domínguez, Carlos Eric Galván-Tejada, Laura A. Zanella-Calzada, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada, José M. Celaya-Padilla, Huizilopoztli Luna-García, José G. Arceo-Olague, Rafael Magallanes-Quintanar
2020	J	`jnl`	Desarrollo de un Modelo 3D para un Sistema Infotainment. Rev. Colomb. de Computación Andreé M. Nava-García, Huizilopoztli Luna-García, José M. Celaya-Padilla, Manuel Haro-Márquez, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Luis Alberto Flores-Chaires
2020	J	`jnl`	Estimation of Indoor Location Through Magnetic Field Data: An Approach Based On Convolutional Neural Networks. ISPRS Int. J. Geo Inf. Carlos Eric Galván-Tejada, Laura A. Zanella-Calzada, Antonio García-Domínguez, Rafael Magallanes-Quintanar, Huizilopoztli Luna-García, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Alberto Vélez-Rodríguez, Hamurabi Gamboa-Rosales
2020	J	`jnl`	Evaluación de cuatro clasificadores para el reconocimiento de síndrome de muerte súbita del lactante utilizando ácidos grasos de cadena corta como fuente de información. Res. Comput. Sci. Karen E. Villagrana-Bañuelos, Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada
2020	—	`conf`	Fatty Chain Acids Risk Factors in Sudden Infant Death Syndrome: A Genetic Algorithm Approach. MICAI (1) Karen E. Villagrana-Bañuelos, Laura A. Zanella-Calzada, Irma E. Gonzalez-Curiel, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada
2020	J	`jnl`	Feature Selection Using Genetic Algorithms for the Generation of a Recognition and Classification of Children Activities Model Using Environmental Sound. Mob. Inf. Syst. Antonio García-Domínguez, Carlos Eric Galván-Tejada, Laura A. Zanella-Calzada, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada, José M. Celaya-Padilla, Huizilopoztli Luna-García, Rafael Magallanes-Quintanar
2019	—	`conf`	Alcohol Detection in a Car's Cab Using MQ3 and First Approaches to Sensing: Laboratory Tests. HCI-COLLAB Jonathan Samuel Romero-González, Huizilopoztli Luna-García, José M. Celaya-Padilla, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, José G. Arceo-Olague, Roberto Solis-Robles
2019	—	`conf`	Children Detection on Passenger Seat Using UCD and IDP: An Initial Prototype. HCI-COLLAB William Castañeda Almaraz, Huizilopoztli Luna-García, José M. Celaya-Padilla, Hamurabi Gamboa-Rosales, Ricardo Mendoza-González, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, Joyce S. A. Lozano-Aguilar, Roberto Solís-Robles
2019	J	`jnl`	Depression Episodes Detection in Unipolar and Bipolar Patients: A Methodology with Feature Extraction and Feature Selection with Genetic Algorithms Using Activity Motion Signal as Information Source. Mob. Inf. Syst. Carlos Eric Galván-Tejada, Laura A. Zanella-Calzada, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada, Nubia M. Chávez-Lamas, Ma. del Carmen Gracia-Cortés, Rafael Magallanes-Quintanar, José M. Celaya-Padilla
2019	—	`conf`	Evaluation of Five Classifiers for Children Activity Recognition with Sound as Information Source and Akaike Criterion for Feature Selection. MCPR Antonio García-Domínguez, Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, José M. Celaya-Padilla
2019	J	`jnl`	Evaluation of Five Classifiers for Depression Episodes Detection. Res. Comput. Sci. Susana L. Pacheco-González, Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Nubia M. Chávez-Lamas, J. Francisco Rivera-Gómez, Jorge I. Galván-Tejada
2019	—	`conf`	Prevention of Diabetes Mellitus Through the Use of Mobile Technology (mHealth): Case Study. HCI-COLLAB M. Hazael Guerrero-Flores, Huizilopoztli Luna-García, Carlos Eric Galván-Tejada, Hamurabi Gamboa-Rosales, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Alfredo Mendoza-González, Vanessa Alcalá-Rmz, Adan Valladares-Salgado, Miguel Cruz
2018	J	`jnl`	A Generalized Model for Indoor Location Estimation Using Environmental Sound from Human Activity Recognition. ISPRS Int. J. Geo Inf. Carlos Eric Galván-Tejada, Francisco Eneldo López-Monteagudo, Omero Alonso-González, Jorge I. Galván-Tejada, José M. Celaya-Padilla, Hamurabi Gamboa-Rosales, Rafael Magallanes-Quintanar, Laura A. Zanella-Calzada
2018	—	`conf`	An Approach to Make Software Testing for Users with Down Syndrome a little more Pleasant. Interacción Alfredo Mendoza-González, Huizilopoztli Luna-García, Ricardo Mendoza-González, Cristian Rusu, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada, José G. Arceo-Olague, José M. Celaya-Padilla, Roberto Solis-Robles
2018	—	`conf`	An Empiric Study of the Use of Mobile Technology by Users with Intellectual Disability. HCI-COLLAB Alfredo Mendoza-González, Huizilopoztli Luna-García, Ricardo Mendoza-González, Cristian Rusu, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, José G. Arceo-Olague, José M. Celaya-Padilla, Roberto Solis-Robles
2018	J	`jnl`	An analysis of Demographic and Dietary Data with an Oral Health Approach: A Preliminary Study using Genetic Algorithms. Res. Comput. Sci. Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Nubia M. Chávez-Lamas, María del Carmen García-Cortez, Jorge I. Galván-Tejada
2018	J	`jnl`	Analyzing Typical Mobile Gestures in mHealth Applications for Users with Down Syndrome. Mob. Inf. Syst. Huizilopoztli Luna-García, Alfredo Mendoza-González, Ricardo Mendoza-González, Hamurabi Gamboa-Rosales, Jorge I. Galván-Tejada, José M. Celaya-Padilla, Carlos Eric Galván-Tejada, José G. Arceo-Olague, Arturo Moreno-Báez, Omero Alonso-González, Francisco Eneldo López-Monteagudo, Roberto Solis-Robles, Jaime Iván López-Veyna
2018	J	`jnl`	Image Edge Detection Using Fractional Calculus with Feature and Contrast Enhancement. Circuits Syst. Signal Process. Amita Nandal, Hamurabi Gamboa-Rosales, Arvind Dhaka, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, Francisco Javier Martínez-Ruiz, Cesar Guzman-Valdivia
2018	—	`conf`	Multivariate features selection from demographic and dietary descriptors as caries risk determinants in oral health diagnosis: Data from NHANES 2013-2014. CONIELECOMP Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Nubia M. Chávez-Lamas, Jorge I. Galván-Tejada, José M. Celaya-Padilla
2018	J	`jnl`	Sensitivity and Variability Analysis for Image Denoising Using Maximum Likelihood Estimation of Exponential Distribution. Circuits Syst. Signal Process. Amita Nandal, Arvind Dhaka, Hamurabi Gamboa-Rosales, Ninoslav Marina, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, Arturo Moreno-Báez, José M. Celaya-Padilla, Huizilopoztli Luna-García
2018	J	`jnl`	Speed Bump Detection Using Accelerometric Features: A Genetic Algorithm Approach. Sensors José M. Celaya-Padilla, Carlos Eric Galván-Tejada, Francisco Eneldo López-Monteagudo, Omero Alonso-González, Arturo Moreno-Báez, Antonio Martínez-Torteya, Jorge I. Galván-Tejada, José G. Arceo-Olague, Huizilopoztli Luna-García, Hamurabi Gamboa-Rosales
2017	J	`jnl`	A Similarity Analysis of Audio Signal to Develop a Human Activity Recognition Using Similarity Networks. Sensors Alejandra García-Hernández, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, Hamurabi Gamboa-Rosales, Perla Velasco-Elizondo, Rogelio Cárdenas-Vargas
2017	—	`conf`	Can multivariate models based on MOAKS predict OA knee pain? Data from the Osteoarthritis Initiative. Computer-Aided Diagnosis Carlos D. Luna-Gómez, Laura A. Zanella-Calzada, Miguel A. Acosta-García, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, José M. Celaya-Padilla
2017	—	`conf`	Feature Selection from Image Descriptors Data for Breast Cancer Diagnosis Based on CAD. MICAI (2) Laura A. Zanella-Calzada, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, José M. Celaya-Padilla
2016	—	`conf`	A Dynamic Indoor Location Model for Smartphones Based on Magnetic Field: A Preliminary Approach. MCPR Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, J. Ruben Delgado-Contreras, Vanessa Alcalá-Ramírez, Luis Octavio Solís-Sánchez
2016	J	`jnl`	An Analysis of Audio Features to Develop a Human Activity Recognition Model Using Genetic Algorithms, Random Forests, and Neural Networks. Mob. Inf. Syst. Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, José M. Celaya-Padilla, J. Ruben Delgado-Contreras, Rafael Magallanes-Quintanar, Margarita L. Martinez-Fierro, Idalia Garza-Veloz, Yamilé López-Hernández, Hamurabi Gamboa-Rosales
2016	—	`conf`	Automated Image Registration for Knee Pain Prediction in Osteoarthritis: Data from the OAI. MCPR Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, José M. Celaya-Padilla, Juan Ruben Delgado-Contreras, Daniel Cervantes, Manuel Ortiz
2016	—	`conf`	Identification and evaluation on diabetic foot injury by computer vision. ICIT Luis Octavio Solís-Sánchez, José Manuel Ortiz-Rodriguez, Rodrigo Castañeda-Miranda, Maria del Rosario Martinez-Blanco, Gerardo Ornelas-Vargas, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, José M. Celaya-Padilla, Celina Lizeth Castañeda-Miranda
2015	J	`jnl`	Infrastructure-Less Indoor Localization Using the Microphone, Magnetometer and Light Sensor of a Smartphone. Sensors Carlos Eric Galván-Tejada, Juan-Pablo García-Vázquez, Jorge I. Galván-Tejada, J. Ruben Delgado-Contreras, Ramón F. Brena
2015	—	`conf`	Knee osteoarthritis image registration: data from the Osteoarthritis Initiative. Computer-Aided Diagnosis Jorge I. Galván-Tejada, José M. Celaya-Padilla, Victor Treviño, José G. Tamez-Peña
2015	J	`jnl`	Multivariate Radiological-Based Models for the Prediction of Future Knee Pain: Data from the OAI. Comput. Math. Methods Medicine Jorge I. Galván-Tejada, José M. Celaya-Padilla, Victor Trevino, José Gerardo Tamez-Peña
2015	—	`conf`	Multivariate or univariate model analysis for indoor location systems: A comparison. CONIELECOMP Carlos Eric Galván-Tejada, Juan-Pablo García-Vázquez, Jorge I. Galván-Tejada, Ramón F. Brena
2015	J	`jnl`	Towards an Indoor Location System using Indoor-light as Information Source. Res. Comput. Sci. Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada, Selene Ramírez-Rosales, Francisco Javier Martínez-Ruiz, S. Paulizeth Maldonado-Luján
2014	—	`conf`	Bilateral image subtraction features for multivariate automated classification of breast cancer risk. Computer-Aided Diagnosis José M. Celaya-Padilla, Juan Rodríguez-Rojas, Jorge I. Galván-Tejada, Antonio Martínez-Torteya, Victor Treviño, José G. Tamez-Peña
2014	—	`conf`	Feature Selection for Place Classification through Environmental Sounds. EUSPN/ICTH Juan Ruben Delgado-Contreras, Juan-Pablo García-Vázquez, Ramón F. Brena, Carlos Eric Galván-Tejada, Jorge I. Galván-Tejada
2014	—	`conf`	Fingerprint Time Length Reduction for Developing an Indoor Location Model for Smartphones. EUSPN/ICTH Carlos Eric Galván-Tejada, Juan-Pablo García-Vázquez, Jorge I. Galván-Tejada, Juan Ruben Delgado-Contreras, Ramón F. Brena
2014	—	`conf`	Knee Osteoarthritis pain prediction from X-ray imaging: Data from Osteoarthritis Initiative. CONIELECOMP Jorge I. Galván-Tejada, Victor Trevino, José M. Celaya-Padilla, José G. Tamez-Peña
2014	—	`conf`	MRI signal and texture features for the prediction of MCI to Alzheimer's disease progression. Computer-Aided Diagnosis Antonio Martínez-Torteya, Juan Rodríguez-Rojas, José M. Celaya-Padilla, Jorge I. Galván-Tejada, Victor Treviño, José G. Tamez-Peña
2014	—	`conf`	Radiological Pain Predictors in Knee Osteoarthritis, a Four Feature Selection Comparison: Data from the OAI. MCPR Jorge I. Galván-Tejada, José M. Celaya-Padilla, Carlos Eric Galván-Tejada, Victor Trevino, José G. Tamez-Peña
2014	—	`conf`	Wide association study of radiological features that predict future knee OA pain: data from the OAI. Computer-Aided Diagnosis Jorge I. Galván-Tejada, José M. Celaya-Padilla, Antonio Martínez-Torteya, Juan Rodríguez-Rojas, Victor Treviño, José G. Tamez-Peña