Jorge Pérez-Gonzalez

According to our database, Jorge Pérez-Gonzalez authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

"ShapeNet": A Shape Regression Convolutional Neural Network Ensemble Applied to the Segmentation of the Left Ventricle in Echocardiography.

Eduardo Galicia Gómez, Fabián Torres Robles, Jorge Pérez-Gonzalez, Fernando Arámbula Cosío

J. Imaging, 2025

Convolutional Neural Network Trained with Heatmaps for Segmentation and Measurement of the Femur in Fetal Ultrasound.

Juan Carlos Andrade Ortíz, Fernando Arámbula Cosío, Jorge Pérez-Gonzalez, Nikol Orlando Castellanos Díaz, Raquel Valdés-Cristerna, Verónica Médina-Bañuelos, Lisbeth Camargo-Marín, Mario E. Guzmán Huerta

Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025

Deep Learning-based Echocardiography Enhancement: Reducing Speckle Noise and Improving Temporal Resolution.

Gabriel Carcedo-Rodríguez, Blanca Vazquez, Jorge Pérez-Gonzalez, Nidiyare Hevia-Montiel

Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025

2023

Estimación del mapa de anisotropía fraccional y difusividad media en materia blanca utilizando transformers.

Daniel Bandala Álvarez, Jorge Pérez-Gonzalez

Res. Comput. Sci., 2023

Machine learning-based classification of children affected by malnutrition using multimodal sMRI and DTI brain images.

Daniel Colin Garnica, Ramon Cota-Aguiar, Israel Vaca-Palomares, Juan Fernández-Ruiz, Nidiyare Hevia-Montiel, Jorge Pérez-Gonzalez

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

2022

Estimating Echocardiographic Myocardial Strain of Left Ventricle with Deep Learning.

Alan Romero-Pacheco, Jorge Pérez-Gonzalez, Nidiyare Hevia-Montiel

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Machine Learning based Classification of Local Robotic Surgical Skills in a Training Tasks Set.

Luis Juarez-Villalobos, Nidiyare Hevia-Montiel, Jorge Pérez-Gonzalez

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021