Javier Escudero Rodriguez

2024

Structural inequality and temporal brain dynamics across diverse samples

Baez, S., Hernandez, H., Moguilner, S., Cuadros, J., Santamaria-Garcia, H., Medel, V., Migeot, J., Cruzat, J., Valdes-Sosa, P., Lopera, F., González-Hernández, A., Bonilla-Santos, J., Gonzalez-Montealegre, R. A., Aktürk, T., Legaz, A., Altschuler, F., Fittipaldi, S., Yener, G., Escudero, J., Babiloni, C., & 16 othersLopez, S., Whelan, R., Lucas, A. A. F., Huepe, D., Soto‐añari, M., Coronel-Oliveros, C., Herrera, E., Abasolo, D., Clark, R. A., Guntekin, B., Duran-Aniotz, C., Parra, M. A., Lawlor, B., Tagliazucchi, E., Prado, P. & Ibanez, A., 3 Oct 2024, (E-pub ahead of print) In: Clinical and Translational Medicine. 14, 10, e70032.

Research output: Contribution to journal › Article › peer-review

Open Access

Brain clocks capture diversity and disparities in aging and dementia

Moguilner, S., Baez, S., Hernandez, H., Migeot, J., Legaz, A., Gonzalez-Gomez, R., Farina, F. R., Prado, P., Cuadros, J., Tagliazucchi, E., Altschuler, F., Maito, M. A., Godoy, M. E., Cruzat, J., Valdes-Sosa, P. A., Lopera, F., Ochoa-Gómez, J. F., Hernandez, A. G., Bonilla-Santos, J., Gonzalez-Montealegre, R. A., & 55 othersAnghinah, R., d'Almeida Manfrinati, L. E., Fittipaldi, S., Medel, V., Olivares, D., Yener, G. G., Escudero, J., Babiloni, C., Whelan, R., Güntekin, B., Yırıkoğulları, H., Santamaria-Garcia, H., Lucas, A. F., Huepe, D., Di Caterina, G., Soto-Añari, M., Birba, A., Sainz-Ballesteros, A., Coronel-Oliveros, C., Yigezu, A., Herrera, E., Abasolo, D., Kilborn, K., Rubido, N., Clark, R. A., Herzog, R., Yerlikaya, D., Hu, K., Parra, M. A., Reyes, P., García, A. M., Matallana, D. L., Avila-Funes, J. A., Slachevsky, A., Behrens, M. I., Custodio, N., Cardona, J. F., Barttfeld, P., Brusco, I. L., Bruno, M. A., Sosa Ortiz, A. L., Pina-Escudero, S. D., Takada, L. T., Resende, E., Possin, K. L., de Oliveira, M. O., Lopez-Valdes, A., Lawlor, B., Robertson, I. H., Kosik, K. S., Duran-Aniotz, C., Valcour, V., Yokoyama, J. S., Miller, B. L. & Ibanez, A., 26 Aug 2024, (E-pub ahead of print) In: Nature Medicine. 20 p.

Research output: Contribution to journal › Article › peer-review

Open Access

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Brain health in diverse settings: How age, demographics and cognition shape brain function

Hernandez, H., Baez, S., Medel, V., Moguilner, S., Cuadros, J., Santamaria-Garcia, H., Tagliazucchi, E., Valdes-Sosa, P. A., Lopera, F., OchoaGómez, J. F., González-Hernández, A., Bonilla-Santos, J., Gonzalez-Montealegre, R. A., Aktürk, T., Yıldırım, E., Anghinah, R., Legaz, A., Fittipaldi, S., Yener, G. G., Escudero, J., & 22 othersBabiloni, C., Lopez, S., Whelan, R., Lucas, A. A. F., García, A. M., Huepe, D., Caterina, G. D., Soto-Añari, M., Birba, A., Sainz-Ballesteros, A., Coronel, C., Herrera, E., Abasolo, D., Kilborn, K., Rubido, N., Clark, R., Herzog, R., Yerlikaya, D., Güntekin, B., Parra, M. A., Prado, P. & Ibanez, A., 15 Jul 2024, In: NeuroImage. 295, p. 120636

Research output: Contribution to journal › Article › peer-review

Open Access

Graph permutation entropy: Extensions to the continuous case, a step towards ordinal deep learning, and more

Roy, O., Campbell-Cousins, A., Carrasco, J. S. F., Parra, M. A. & Escudero, J., 10 Jul 2024, ArXiv.

Research output: Working paper › Preprint

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Graph-based multivariate multiscale dispersion entropy: Efficient implementation and applications to real-world network data

Fabila-Carrasco, J. S., Tan, C. & Escudero, J., 1 May 2024, ArXiv, p. 1-9, 9 p.

Research output: Working paper › Preprint

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Graph-Based Permutation Patterns for the Analysis of Task-Related FMRI Signals on DTI Networks in Mild Cognitive Impairment

Fabila Carrasco, J. S., Campbell-Cousins, A., Parra-Rodriguez, M. A. & Escudero, J., 19 Apr 2024, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers, p. 2076-2080 5 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Single-Channel EEG Artifact Identification with the Spectral Slope

Fasol, M. C. M., Escudero, J. & Gonzalez-Sulser, A., 18 Jan 2024, 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023. Institute of Electrical and Electronics Engineers, p. 2482-2487 6 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2023

Graph-based Multivariate Multiscale Permutation Entropy: Study of Robustness to Noise and Application to Two-Phase Flow Data

Fabila-Carrasco, J. S., Tan, C. & Escudero, J., 1 Nov 2023, 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings. European Signal Processing Conference, EUSIPCO, p. 1599-1603 5 p. (European Signal Processing Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dispersion Entropy for Graph Signals

Fabila Carrasco, J. S., Tan, C. & Escudero, J., 1 Oct 2023, In: Chaos, Solitons and Fractals. 175, 2, 11 p., 113977.

Research output: Contribution to journal › Article › peer-review

Open Access

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Dispersion entropy: A Measure of Irregularity for Graph Signals

Fabila-Carrasco, J. S., Tan, C. & Escudero, J., 31 Mar 2023, ArXiv.

Research output: Working paper › Preprint

File

2022

Assessment of perivascular space filtering methods using a three-dimensional computational model

Bernal, J., Valdés-hernández, M. D. C., Escudero, J., Duarte, R., Ballerini, L., Bastin, M. E., Deary, I. J., Thrippleton, M. J., Touyz, R. M. & Wardlaw, J. M., 1 Nov 2022, In: Magnetic Resonance Imaging. 93, p. 33-51

Research output: Contribution to journal › Article › peer-review

Open Access

Multivariate permutation entropy, a Cartesian graph product approach

Fabila Carrasco, J. S., Tan, C. & Escudero, J., 18 Oct 2022, (E-pub ahead of print) 2022 30th European Signal Processing Conference (EUSIPCO). European Signal Processing Conference, EUSIPCO, 5 p. (European Signal Processing Conference (EUSIPCO) ).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access

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A noise-robust Multivariate Multiscale Permutation Entropy for two-phase flow characterisation

Fabila-Carrasco, J. S., Tan, C. & Escudero, J., 14 Oct 2022, ArXiv.

Research output: Working paper › Preprint

File

Entropy Analysis of Univariate Biomedical Signals:Review and Comparison of Methods

Azami, H., Faes, L., Escudero, J., Humeau-Heurtier, A. & Silva, L. E. V., Oct 2022, Frontiers in Entropy Across the Disciplines: Panorama of Entropy: Theory, Computation, and Applications. World Scientific, Vol. 4. p. 233–286 (Contemporary Mathematics and Its Applications: Monographs, Expositions and Lecture Notes; vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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Stratified Multivariate Multiscale Dispersion Entropy for Physiological Signal Analysis

Kafantaris, E., Lo, T-Y. M. & Escudero, J., 19 Sept 2022, (E-pub ahead of print) In: IEEE Transactions on Biomedical Engineering. 70, 3, p. 1024-1035 12 p.

Research output: Contribution to journal › Article › peer-review

Open Access

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A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment

Drage, R., Escudero, J., Parra, M. A., Scally, B., Anghinah, R., Lacerda de Araújo, A. V., Basile, L. F. & Abasolo, D., 8 Sept 2022, (E-pub ahead of print) Proceedings of 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Institute of Electrical and Electronics Engineers, Vol. 2022. p. 3175-3178 4 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access

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Evaluation of EEG Dynamic Connectivity Around Seizure Onset with Principal Component Analysis

Soare, I. & Escudero, J., 8 Sept 2022, (E-pub ahead of print) Proceedings of 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Institute of Electrical and Electronics Engineers, Vol. 2022. p. 40-43 4 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access

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Quantitative detection of seizures with minimal-density EEG montage using phase synchrony and cross-channel coherence amplitude in critical care

Abdullateef, S., Jordan, B., Rae, V., McLellan, A., Escudero, J., Nenadovic, V. & Lo, M., 8 Sept 2022, (E-pub ahead of print) Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) . Institute of Electrical and Electronics Engineers, Vol. 2022. p. 259-262 4 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access

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Robust assessment of EEG connectivity patterns in Mild Cognitive Impairment and Alzheimer's disease

Clark, R. A., Smith, K., Escudero, J., Ibanez, A. & Parra, M. A., 11 Jul 2022, In: Frontiers in Neuroimaging. 1, 14 p., 924811.

Research output: Contribution to journal › Article › peer-review

Open Access

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Abnormal Functional Hierarchies of EEG Networks in Familial and Sporadic Prodromal Alzheimer's Disease during Visual Short-Term Memory Binding

Smith, K. M., Starr, J. M., Escudero, J., Ibáñez, A. M. & Parra, M. A., 17 Jun 2022, In: Frontiers in Neuroimaging. 1, 10 p., 883968.

Research output: Contribution to journal › Article › peer-review

Open Access

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A Window in the Brain: Applying data science to quantitatively detect seizures with minimal-density EEG montage

Abdullateef, S., Jordan, B., McLellan, A., Nenadovic, V., Escudero, J. & Lo, M., 30 Apr 2022, 14th European Paediatric Neurology Society Congress. EPNS21-406

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access

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Editorial: Current Trends in Deep Learning for Movement Analysis and Prosthesis Control

Al-Timemy, A. H., Castellini, C., Escudero, J., Khushaba, R. N. & Muceli, S., 25 Apr 2022, In: Frontiers in Neuroscience. 16, 2 p., 889202.

Research output: Contribution to journal › Editorial › peer-review

Open Access

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Permutation Entropy for Graph Signals

Fabila Carrasco, J. S., Tan, C. & Escudero, J., 13 Apr 2022, (E-pub ahead of print) In: IEEE Transactions on Signal and Information Processing Over Networks. 8, p. 288-300 13 p.

Research output: Contribution to journal › Article › peer-review

Open Access

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Flow Rate Measurement of Oil-Gas-Water Wavy Flow through a Combined Electrical and Ultrasonic Sensor

Shi, X., Tan, C., Dong, F. & Escudero, J., 1 Jan 2022, In: Chemical Engineering Journal. 427, 16 p., 131982.

Research output: Contribution to journal › Article › peer-review

Open Access

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Abnormal brain state distribution and network connectivity in a SYNGAP1 rat model

Buller-Peralta, I., Maicas Royo, J., Lu, Z., Till, S., Wood, E. R., Kind, P. C., Escudero, J. & Gonzalez-Sulser, A., 2022, In: Brain Communications. 4, 6

Research output: Contribution to journal › Article › peer-review

Open Access

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2021

Entropy metrics for graph signals

Fabila Carrasco, J. S., Escudero, J. & Tan, C., 30 Nov 2021.

Research output: Contribution to conference › Abstract › peer-review

Open Access

A computational approach to using routine MRI and EEG to identify developmental impairment in pre-school children with epilepsy

Dron, N., Chin, R. & Escudero, J., 3 Nov 2021. 1 p.

Research output: Contribution to conference › Abstract › peer-review

Open Access

Measures of Resting State EEG Rhythms for Clinical Trials in Alzheimer’s Disease: Recommendations of an Expert Panel

Babiloni, C., Arakaki, X., Azami, H., Bennys, K., Blinowska, K., Bonanni, L., Bujan, A., Carrillo, M. C., Cichocki, A., de Frutos-Lucas, J., del Percio, C., Dubois, B., Edelmayer, R., Egan, G., Epelbaum, S., Escudero, J., Evans, A., Farina, F., Fargo, K., Fernández, A., & 40 othersFerri, R., Frisoni, G., Hampel, H., Harrington, M. G., Jelic, V., Jeong, J., Jiang, Y., Kaminski, M., Kavcic, V., Kilborn, K., Kumar, S., Lam, A., Lim, L., Lizio, R., Lopez, D., Lopez, S., Lucey, B., Maestú, F., McGeown, W. J., McKeith, I., Moretti, D. V., Nobili, F., Noce, G., Olichney, J., Onofrj, M., Osorio, R., Parra-Rodriguez, M., Rajji, T., Ritter, P., Soricelli, A., Stocchi, F., Tarnanas, I., Taylor, J-P., Teipel, S., Tucci, F., Valdes-Sosa, M., Valdes-Sosa, P., Weiergräber, M., Yener, G. & Guntekin, B., 28 Sept 2021, In: Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 17, 9, p. 1528-1553

Research output: Contribution to journal › Article › peer-review

Open Access

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Detecting Seizures from a Low-density Montage with BrainsView

Abdullateef, S., Escudero, J., Nenadovic, V., Jordan, B., McLellan, A. & Lo, M., 6 Sept 2021, BioMedEng2021. 24

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access

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Functional, structural, and phenotypic data fusion to predict developmental scores of pre-school children based on Canonical Polyadic Decomposition

Dron, N., Navarro, M., Chin, R. & Escudero, J., Sept 2021, In: Biomedical Signal Processing and Control. 70, 102889.

Research output: Contribution to journal › Article › peer-review

Open Access

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An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings

Al-Timemy, A. H., Khushaba, R. N., Mosa, Z. M. & Escudero, J., 20 Jul 2021, Artificial Intelligence for COVID-19. Springer, p. 77-100 (Studies in Systems, Decision and Control; vol. 358).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Impact of Visual Design Elements and Principles in Human Electroencephalogram Brain Activity Assessed with Spectral Methods and Convolutional Neural Networks

Cabrera, F. E., Sanchez Nuñez, P., Vaccaro, G., Peláez, J. I. & Escudero, J., 9 Jul 2021, In: Sensors. 21, 14, 4695.

Research output: Contribution to journal › Article › peer-review

Open Access

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Deep Transfer Learning for Improved Detection of Keratoconus using Corneal Topographic Maps

Al-Timemy, A. H., Ghaeb, N. H., Musa, Z. M. & Escudero, J., 16 Jun 2021, (E-pub ahead of print) In: Cognitive Computation. 16 p.

Research output: Contribution to journal › Article › peer-review

Open Access

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Deep Learning of Resting-state Electroencephalogram Signals for 3-class Classification of Alzheimer’s Disease, Mild Cognitive Impairment and Healthy Ageing

Huggins, C. J., Escudero, J., Parra, M. A., Scally, B., Anghinah, R., Lacerda de Araújo, A. V., Basile, L. F. & Abasolo, D., 27 May 2021, (E-pub ahead of print) In: Journal of Neural Engineering.

Research output: Contribution to journal › Article › peer-review

Open Access

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Higher order tensor decomposition for proportional myoelectric control based on muscle synergies

Ebied, A., Kinney-Lang, E. & Escudero, J., May 2021, In: Biomedical Signal Processing and Control. 67, 13 p., 102523.

Research output: Contribution to journal › Article › peer-review

Open Access

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Assessment of Outliers and Detection of Artifactual Network Segments using Univariate and Multivariate Dispersion Entropy on Physiological Signals

Kafantaris, E., Piper, I., Lo, M. & Escudero, J., 20 Feb 2021, In: Entropy. 23, 2, 22 p., 244.

Research output: Contribution to journal › Article › peer-review

Open Access

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A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage

Bernal, J., Valdés-hernández, M. D. C., Escudero, J., Heye, A. K., Sakka, E., Armitage, P. A., Makin, S., Touyz, R. M., Wardlaw, J. M. & Thrippleton, M. J., 23 Jan 2021, (E-pub ahead of print) In: NeuroImage. 230, p. 117786

Research output: Contribution to journal › Article › peer-review

Open Access

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2020

Canonical polyadic and block term decompositions to fuse EEG, phenotypic scores, and structural MRI of children with early-onset epilepsy

Dron, N., Chin, R. F. M. & Escudero, J., 18 Dec 2020, 28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings. European Signal Processing Conference, EUSIPCO, p. 1145-1149 5 p. 9287765. (European Signal Processing Conference; vol. 2021-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hierarchical complexity of the macro-scale neonatal brain

Blesa Cabez, M., Galdi, P., Cox, S., Sullivan, G., Stoye, D., Lamb, G. J., Quigley, A., Thrippleton, M., Escudero, J., Bastin, M., Smith, K. & Boardman, J. P., 7 Dec 2020, (E-pub ahead of print) In: Cerebral Cortex.

Research output: Contribution to journal › Article › peer-review

Open Access

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Two-Stage Classification of Breast Tumor Biomarkers for Iraqi Women

Mohammed, I. K., Al-Timemy, A. H. & Escudero, J., 1 Sept 2020, (E-pub ahead of print) Al-Khwarizmi Engineering Journal. University of Baghdad, Vol. 16. (Al-Khwarizmi Engineering Journal; vol. 16, no. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access

A Framework for Jointly Assessing and Reducing Imaging Artefacts Automatically Using Texture Analysis and Total Variation Optimisation for Improving Perivascular Spaces Quantification in Brain Magnetic Resonance Imaging

Bernal, J., Valdés-Hernández, M., Ballerini, L., Escudero, J., Jochems, A. C. C., Clancy, U., Doubal, F. N., Stringer, M. S., Thrippleton, M. J., Touyz, R. M. & Wardlaw, J. M., 8 Jul 2020, Conference on Medical Image Understanding and Analysis (MIUA) 2020. Springer, Vol. 1248. p. 171-183 Chapter 14. (Medical Image Understanding and Analysis; vol. 1248).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Normalised Degree Variance

Smith, K. & Escudero, J., 22 Jun 2020, In: Applied Network Science. 5, 22 p., 21.

Research output: Contribution to journal › Article › peer-review

Open Access

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Examining the relationship between semiquantitative methods analysing concentration-time and enhancement-time curves from dynamic-contrast enhanced magnetic resonance imaging and cerebrovascular dysfunction in small vessel disease

Bernal Moyano, J., Valdes Hernandez, M., Escudero, J., Sakka, E., Armitage, P., Makin, S., Touyz, R. M. & Wardlaw, J., 5 Jun 2020, In: Journal of Imaging . 6, 6, 14 p., 43.

Research output: Contribution to journal › Article › peer-review

Open Access

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Early diagnosis of Alzheimer’s disease: The role of biomarkers including advanced EEG signal analysis. An I.F.C.N.-sponsored panel of Experts

Rossini, P. M., Di Iorio, R., Vecchio, F., Anfossi, M., Babiloni, C., Bozzali, M., Bruni, A. C., Cappa, S. F., Escudero, J., Fraga, F. J., Giannakopoulos, P., Guntekin, B., Logroscino, G., Marra, C., Miraglia, F., Panza, F., Tecchio, F., Pascual-Leone, A. & Dubois, B., Jun 2020, In: Clinical Neurophysiology. 131, 6, p. 1287-1310

Research output: Contribution to journal › Review article › peer-review

Open Access

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Augmentation of Dispersion Entropy for Handling Missing and Outlier Samples in Physiological Signal Monitoring

Kafantaris, E., Piper, I., Lo, M. & Escudero, J., 11 Mar 2020, In: Entropy. 22, 3, 26 p., 319.

Research output: Contribution to journal › Article › peer-review

Open Access

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Analysis of spatial spectral features of dynamic contrast-enhanced brain magnetic resonance images for studying small vessel disease

Bernal Moyano, J., Valdes Hernandez, M., Escudero, J., Armitage, P., Makin, S., Touyz, R. M. & Wardlaw, J., 24 Jan 2020, (E-pub ahead of print) Medical Image Understanding and Analysis. MIUA 2019. Communications in Computer and Information Science. Springer, Vol. 1065.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Open Access

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What Electrophysiology Tells Us About Alzheimer’s Disease: A Window into the Synchronization and Connectivity of Brain Neurons

Babiloni, C., Blinowska, K., Bonanni, L., Cichocki, A., De Haan, W., del Percio, C., Dubois, B., Escudero, J., Fernández, A., Frisoni, G. B., Guntekin, B., Hajos, M., Hampel, H., Ifeachor, E., Kilborn, K., Kumar, S., Johnsen, K., Johannsson, M., Jeong, J., LeBeau, F., & 21 othersLizio, R., Lopes da Silva, F., Maestú, F., McGeown, W. J., McKeith, I. G., Moretti, D. V., Nobili, F., Olichney, J. M., Onofrj, M., Palop, J. J., Rowan, M., Stocchi, F., Struzik, Z., Tanila, H., Teipel, S., Taylor, J-P., Weiergräber, M., Yener, G., Young-Pearse, T., Drinkenburg, W. H. & Randall, F., Jan 2020, In: Neurobiology of Aging. 85, p. 58-73

Research output: Contribution to journal › Article › peer-review

Open Access

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2019

Muscle Activity Analysis using Higher-Order Tensor Decomposition: Application to Muscle Synergy Extraction

Ebied, A., Kinney-lang, E., Spyrou, L. & Escudero, J., 1 Dec 2019, In: IEEE Access. 7, 1, p. 27257-27271 15 p.

Research output: Contribution to journal › Article › peer-review

Open Access

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Fuzzy Entropy Metrics for the Analysis of Biomedical Signals: Assessment and Comparison

Azami, H., Li, P., Arnold, S. E., Escudero, J. & Humeau-Heurtier, A., Dec 2019, In: IEEE Access. 7, 1, p. 104833-104847

Research output: Contribution to journal › Article › peer-review

Open Access

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Multiscale Fluctuation-based Dispersion Entropy and its Applications to Neurological Diseases

Azami, H., Arnold, S. E., Sanei, S., Chang, Z., Sapiro, G., Escudero, J. & Gupta, A. S., Dec 2019, In: IEEE Access. 7, 1, p. 68718-68733

Research output: Contribution to journal › Article › peer-review

Open Access

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Javier Escudero Rodriguez

Research output

Search results