Nicolás Gallego-Molina

According to our database, Nicolás Gallego-Molina authored at least 21 papers between 2021 and 2024.

Collaborative distances:

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

2024

Identifying HRV patterns in ECG signals as early markers of dementia.

Juan Eloy Arco, Nicolás Gallego-Molina, Andrés Ortiz, Katy Arroyo-Alvis, Pedro Javier Lopez-Perez

Expert Syst. Appl., 2024

Causal Mechanisms of Dyslexia via Connectogram Modeling of Phase Synchrony.

Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Marco A. Formoso, Nicolás Gallego-Molina, Juan Luis Luque

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Visualizing Brain Synchronization: An Explainable Representation of Phase-Amplitude Coupling.

Andrés Ortiz, Nicolás Gallego-Molina, Diego Castillo-Barnes, Ignacio Rodríguez-Rodríguez, Juan Manuel Górriz

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration.

Nicolás Gallego-Molina, Andrés Ortiz, Marco A. Formoso, Francisco Jesús Martínez-Murcia, Wai Lok Woo

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia.

Nicolás Gallego-Molina, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Diego Castillo-Barnes, Andrés Ortiz, Javier Ramírez, J. M. Górriz, Pedro Javier Lopez-Perez, Juan Luis Luque

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Explainable Exploration of the Interplay Between HRV Features and EEG Local Connectivity Patterns in Dyslexia.

Marco A. Formoso, Nicolás Gallego-Molina, Andrés Ortiz, Ignacio Rodríguez-Rodríguez, Almudena Giménez

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Enhancing Intensity Differences in EEG Cross-Frequency Coupling Maps for Dyslexia Detection.

Diego Castillo-Barnes, Andrés Ortiz, Pietro Stabile, Nicolás Gallego-Molina, Patrícia Figueiredo, Juan Luis Luque

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders.

Juan Eloy Arco, Nicolás Gallego-Molina, Pedro Javier Lopez-Perez, Javier Ramírez, Juan Manuel Górriz, Andrés Ortiz

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

2023

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.

J. M. Górriz, I. Álvarez Illán, Agustín Álvarez Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, María Angélica Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, Shui-Hua Wang, Wei Wang, Yu-Dong Zhang, Hengde Zhu, Ziquan Zhu, J. M. Ferrández-Vicente

Inf. Fusion, December, 2023

EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia.

Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Nicolás Gallego-Molina, Marco A. Formoso, Wai Lok Woo

Int. J. Neural Syst., April, 2023

Assessing Functional Brain Network Dynamics in Dyslexia from fNIRS Data.

Nicolás Gallego-Molina, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Ignacio Rodríguez-Rodríguez, Juan Luis Luque

Int. J. Neural Syst., April, 2023

Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism.

Juan Eloy Arco, Andrés Ortiz, Nicolás Gallego-Molina, Juan Manuel Górriz, Javier Ramírez

Int. J. Neural Syst., April, 2023

Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality.

Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Nicolás Gallego-Molina, Marco A. Formoso, Wai Lok Woo

CoRR, 2023

2022

Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis.

Nicolás Gallego-Molina, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Almudena Giménez

Knowl. Based Syst., 2022

Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia.

Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Marco A. Formoso, Nicolás Gallego-Molina, Juan Luis Luque

Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning.

Andrés Ortiz, Juan Eloy Arco, Marco A. Formoso, Nicolás Gallego-Molina, Ignacio Rodríguez-Rodríguez, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez

Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis.

Nicolás Gallego-Molina, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Ignacio Rodríguez-Rodríguez

Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

2021

Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis.

Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque

Sensors, 2021

Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis.

Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque

CoRR, 2021

Temporal EigenPAC for Dyslexia Diagnosis.

Nicolás Gallego-Molina, Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Luis Luque

Proceedings of the Advances in Computational Intelligence, 2021

Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis.

Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque, Juan José Escobar, Francisco G. Montoya

Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021