Non-Invasive Atrial Fibrillation Driver Localization Using Recurrent Neural Networks and Body Surface Potentials. - Miriam Gutiérrez-Fernández-Calvillo; Miguel Ángel Cámara-Vázquez; Ismael Hernández-Romero; María S. Guillem; Andreu M. Climent; Óscar Barquero-Pérez (CinC, 2022)

Generalization and Regularization for Inverse Cardiac Estimators. - Francisco Manuel Melgarejo-Meseguer; Estrella Everss-Villalba; Miriam Gutiérrez-Fernández-Calvillo; Sergio Muñoz-Romero; Francisco Javier Gimeno-Blanes; Arcadi García-Alberola; José Luis Rojo-Álvarez (IEEE Trans. Biomed. Eng., 2022)

EGM Reconstruction from BSPs in Atrial Fibrillation Using Deep Learning. - Miriam Gutiérrez-Fernández-Calvillo; Miguel Ángel Cámara-Vázquez; Ismael Hernández-Romero; Carlos Fambuena-Santos; María S. Guillem; Andreu M. Climent; Óscar Barquero-Pérez (CinC, 2023)

Dependency-Related Skin Lesion Bed and Periwound Segmentation Trained on Partially Annotated Clinical Images. - Laura Valeria Perez-Herrera; Miriam Gutiérrez-Fernández-Calvillo; Iker Perez de Albeniz; Irene Joga; Andoni Beristain Iraola (MICAD, 2024)

Non-invasive estimation of atrial fibrillation driver position using long-short term memory neural networks and body surface potentials. - Miriam Gutiérrez-Fernández-Calvillo; Miguel Ángel Cámara-Vázquez; Ismael Hernández-Romero; María S. Guillem; Andreu M. Climent; Carlos Fambuena-Santos; Óscar Barquero-Pérez (Comput. Methods Programs Biomed., 2024)