Ariadna Jiménez-Partinen

According to our database, Ariadna Jiménez-Partinen authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

SLIM-Diff: Shared Latent Image-Mask Diffusion with Lp loss for Data-Scarce Epilepsy FLAIR MRI.

Mario Pascual-González, Ariadna Jiménez-Partinen, Rafael M. Luque-Baena, Fátima Nagib-Raya, Ezequiel López-Rubio

CoRR, February, 2026

Preprocessing strategies and their influence on deep learning-driven MRI segmentation.

Ariadna Jiménez-Partinen, Ezequiel López-Rubio, Fátima Nagib-Raya, Esteban J. Palomo, Rafael M. Luque-Baena

Pattern Recognit. Lett., 2026

Automatic Screening of Invasive Coronary Angiography Images Using Swin Transformer.

Juan Jesús Rus-Muñoz, Ariadna Jiménez-Partinen, Mario Pascual-González, Esteban J. Palomo, Jorge Rodríguez-Capitán

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

Generalizable 3D Glioblastoma Segmentation from Single-Sequence T1-GD MRI.

Ana González Morales, Ariadna Jiménez-Partinen, David Muñoz Carmona, Luz Rubí Olea, Lucía Ripoll Sánchez, Fátima Nagib-Raya, Ezequiel López-Rubio, Rafael M. Luque-Baena

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

2025

Hyperparameter optimization of YOLO models for invasive coronary angiography lesion detection and assessment.

Mario Pascual-González, Ariadna Jiménez-Partinen, Esteban J. Palomo, Ezequiel López-Rubio, Almudena Ortega-Gómez

Comput. Biol. Medicine, 2025

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

Coronary Artery Disease Classification With Different Lesion Degree Ranges Based on Deep Learning.

Ariadna Jiménez-Partinen, Karl Thurnhofer-Hemsi, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Esteban J. Palomo

IEEE Access, 2024

Deep Learning-Based Classification of Invasive Coronary Angiographies with Different Patch-Generation Techniques.

Ariadna Jiménez-Partinen, Esteban J. Palomo, Karl Thurnhofer-Hemsi, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social 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