Objective ADHD Diagnosis Using Convolutional Neural Networks Over Daily-Life Activity Records. - Patricia Amado-Caballero; Pablo Casaseca-de-la-Higuera; Susana Alberola-Lopez; Jesus Maria Andres-de-Llano; Jose Antonio Lopez-Villalobos; Jose Ramon-Garmendia Leiza; Carlos Alberola-López (IEEE J. Biomed. Health Informatics, 2020)

Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups. - Patricia Amado-Caballero; Pablo Casaseca-de-la-Higuera; Susana Alberola-Lopez; Jesus Maria Andres-de-Llano; Jose Antonio Lopez-Villalobos; Carlos Alberola-López (Artif. Intell. Medicine, 2023)

Audio Cough Analysis by Parametric Modelling of Weighted Spectrograms to Interpret the Output of Convolutional Neural Networks. - Patricia Amado-Caballero; Jose Ramon-Garmendia Leiza; M. D. Aguilar-García; C. Fernández-Martínez-De-Septiem; Luis M. San-José-Revuelta; A. García-Ruano; Carlos Alberola-López; Pablo Casaseca-de-la-Higuera (EMBC, 2024)

Optimization of a Deep-Learning-Based Cough Detector Using eXplainable Artificial Intelligence for Implementation on Mobile Devices. - Patricia Amado-Caballero; I. Varona-Peña; B. Gutiérrez-García; Javier M. Aguiar Pérez; M. Rodriguez-Cayetano; Jaime Gómez Gil; Jose Ramon-Garmendia Leiza; Pablo Casaseca-de-la-Higuera (BIOSTEC (2): HEALTHINF, 2025)

XAI-Driven Spectral Analysis of Cough Sounds for Respiratory Disease Characterization. - Patricia Amado-Caballero; Luis M. San-José-Revuelta; M. D. Aguilar-García; Jose Ramon-Garmendia Leiza; Carlos Alberola-López; Pablo Casaseca-de-la-Higuera (CoRR, 2025)