Including 3D-textures in a Computer Vision System to Analyze Quality Traits of Loin. - María Mar Ávila; Daniel Caballero; Maria Luisa Durán; Andrés Caro; Trinidad Pérez-Palacios; Teresa Antequera (ICVS, 2015)

Development of a New Fractal Algorithm to Predict Quality Traits of MRI Loins. - Daniel Caballero; Andrés Caro; José Manuel Amigo; Anders B. Dahl; Bjarne K. Ersbøll; Trinidad Pérez-Palacios (CAIP (1), 2017)

Radial Textures: A New Approach to Analyze Meat Quality by Using MRI. - Daniel Caballero; Andrés Caro; José Manuel Amigo; María Mar Ávila; Teresa Antequera; Trinidad Pérez-Palacios (CIARP, 2018)

Non-destructively Prediction of Quality Parameters of Dry-Cured Iberian Ham by Applying Computer Vision and Low-Field MRI. - Juan Pedro Torres; Mar Ávila; Andrés Caro; Trinidad Pérez-Palacios; Daniel Caballero (IbPRIA (1), 2019)

Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces. - María Mar Ávila; Maria Luisa Durán; Daniel Caballero; Teresa Antequera; Trinidad Pérez-Palacios; Eva Cernadas; Manuel Fernández Delgado (Eng. Appl. Artif. Intell., 2019)

Optimization of the image acquisition procedure in low-field MRI for non-destructive analysis of loin using predictive models. - Daniel Caballero; Trinidad Pérez-Palacios; Andrés Caro; Mar Ávila; Teresa Antequera (PeerJ Comput. Sci., 2021)

A Computer-Aided Inspection System to Predict Quality Characteristics in Food Technology. - Juan Pedro Torres; Andrés Caro; María Mar Ávila; Trinidad Pérez-Palacios; Teresa Antequera; Pablo García Rodríguez (IEEE Access, 2022)

Acoustic Characterization Study of Beef Loins Using Ultrasonic Transducers. - Antonio Jiménez-Barco; Montaña Rufo; Jesús M. Paniagua; Alberto González-Mohíno; Teresa Antequera; Trinidad Pérez-Palacios (Sensors, 2023)