Manuel Jiménez-Navarro

According to our database, Manuel Jiménez-Navarro authored at least 5 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Impact of Preprocessing Algorithms on Deep Learning-Driven Stenosis Classification in Invasive Coronary Angiography.

Ariadna Jiménez-Partinen, Miguel A. Molina-Cabello, Juan Marques-Garrido, María Paulina Ordóñez-Walkowiak, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Manuel Jiménez-Navarro

Proceedings of the Bioinspired Intelligent Systems: From Robotics and Computer Vision to Trustworthy Applications, 2026

2024

CADICA: A new dataset for coronary artery disease detection by using invasive coronary angiography.

Ariadna Jiménez-Partinen, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Manuel Jiménez-Navarro

Expert Syst. J. Knowl. Eng., December, 2024

Enhancing Echocardiography Quality with Diffusion Neural Models.

Antonio Fernández-Rodríguez, Ezequiel López-Rubio, Pablo Torres-Salomón, Jorge Rodríguez-Capitán, Manuel Jiménez-Navarro, Miguel A. Molina-Cabello

Proceedings of the Bioinformatics and Biomedical Engineering, 2024

2022

Stenosis detection in coronary angiography images using deep learning models.

Rafael M. Luque-Baena, Irene Romero Granados, Ariadna Jiménez-Partinen, Esteban J. Palomo, Manuel Jiménez-Navarro

Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

2021

Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images.

Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, Simon Colreavy-Donnelly, David A. Elizondo, Luis Oala, Jorge Rodríguez-Capitán, Manuel Jiménez-Navarro, Ezequiel López-Rubio, Miguel A. Molina-Cabello

IEEE Access, 2021