Publications

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Journal Article
Zhang, H., C. Luo, Q. Wang, M. Kitchin, A. Parmley, J. Monge-Alvarez, and P. Casaseca-de-la-Higuera, "A novel infrared video surveillance system using deep learning based techniques", Multimedia Tools and Applications, vol. 77, issue 26676, 2018.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", bioRxiv, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", bioRxiv, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
Aja-Fernández, S., C. Martín-Martín, Á. Planchuelo-Gómez, A. Faiyaz, M. Nasir Uddin, G. Schifitto, A. Tiwari, S. J. Shigwan, R. Kumar Singh, T. Zheng, et al., "Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies", NeuroImage: Clinical, vol. 39, pp. 103483, 2023.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, C. Alberola-Lopez, J R. Garmendia-Leiza, J. María And De Llano, and S. Alberola Lopez, "Utility of the statistical and nonlinear analysis for the actigraphic sleep pattern characterization", Sleep Medicine, vol. 14: Elsevier, pp. e181, 2013.
Molina, V., A. Bachiller, R. de Luis-García, A. Lubeiro, J. Poza, R. Hornero, J. Francesc Alonso, M. Angel Mañanas, P. Marqués, and S. Romero, "Topography of activation deficits in schizophrenia during P300 task related to cognition and structural connectivity", European Archives of Psychiatry and Clinical Neuroscience, Feb, 2018.
Merino-Caviedes, S., L. Gutiérrez, J. Alfonso-Almazán, S. Sanz-Estébanez, L. Cordero-Grande, J. Quintanilla, J. Sánchez-González, M. Marina-Breysse, C. Galán-Arriola, D. Enríquez-Vázquez, et al., "Time-efficient three-dimensional transmural scar assessment provides relevant substrate characterization for ventricular tachycardia features and long-term recurrences in ischemic cardiomyopathy", Scientific Reports, vol. 11, 2021.
Monge-Álvarez, J., C. Hoyos-Barceló, P. Lesso, and P. Casaseca-de-la-Higuera, "Robust detection of audio-cough events using local Hu moments", IEEE journal of biomedical and health informatics, vol. 23, pp. 184–196, 2019.
López, J. Trigo, D. García-Azorín, Á. Planchuelo-Gómez, C. García-Iglesias, C. Dueñas-Gutiérrez, and Á. L. Guerrero, "Phenotypic characterization of acute headache attributed to SARS-CoV-2: An ICHD-3 validation study on 106 hospitalized patients", Cephalalgia, vol. 40, pp. 1432-1442, 2020.
Planchuelo-Gómez, Á., M. Descoteaux, H. Larochelle, J. Hutter, D. K. Jones, and C. M. W. Tax, "Optimisation of quantitative brain diffusion-relaxation MRI acquisition protocols with physics-informed machine learning", Medical Image Analysis, vol. 94, pp. 103134, 2024.
Amado-Caballero, P., P. Casaseca-de-la-Higuera, S. Alberola-Lopez, J. Maria Andres-de-Llano, J. Antonio Lopez-Villalobos, J. Ramon Garmendia-Leiza, and C. Alberola-Lopez, "Objective ADHD diagnosis using Convolutional Neural Networks over Daily-Life Activity Records", IEEE Journal of Biomedical and Health Informatics, 2020.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, S. Alberola-Lopez, J. Maria Andres-de-Llano, JA. López-Villalobos, J. Ardura-Fernández, and C. Alberola-Lopez, "Nonlinear analysis of actigraphic signals for the assessment of the attention-deficit/hyperactivity disorder (ADHD)", Medical engineering & physics, vol. 34, no. 9: Elsevier, pp. 1317–1329, 2012.
Brion, V., C. Poupon, O. Riff, S. Aja-Fernández, A. Tristán-Vega, J-F. Mangin, D. Le Bihan, and F. Poupon, "Noise correction for HARDI and HYDI data obtained with multi-channel coils and Sum of Squares reconstruction: An anisotropic extension of the LMMSE", Magnetic resonance imaging, vol. 31, no. 8: Elsevier, pp. 1360–1371, 2013.
Whitford, T. J., S. Woo Lee, J. S. Oh, R. de Luis-García, P. Savadjiev, J. L. Alvarado, C-F. Westin, M. Niznikiewicz, P. G. Nestor, and R. W. McCarley, "Localized abnormalities in the cingulum bundle in patients with schizophrenia: A Diffusion Tensor tractography study", NeuroImage: Clinical, vol. 5, pp. 93–99, 2014.
Lopez-Messa, J B., JR. Garmendia-Leiza, MD. Aguilar-Garcia, J. María And De Llano, J. Ardura-Fernández, and C. Alberola-Lopez, "La edad como factor modificador del ritmo circadiano del infarto agudo de miocardio", Medicina intensiva, vol. 29, no. 9: Elsevier, pp. 455–461, 2005.
Planchuelo-Gómez, Á., A. Lubeiro, P. Núñez-Novo, J. Gomez-Pilar, R. de Luis-García, P. del Valle, Ó. Martín-Santiago, A. Pérez-Escudero, and V. Molina, "Identificacion of MRI-based psychosis subtypes: Replication and refinement", Progress in Neuro-Psychopharmacology and Biological Psychiatry, vol. 100, pp. 109907, 2020.
Trigo, J., D. García-Azorín, Á. Planchuelo-Gómez, E. Martínez-Pías, B. Talavera, I. Hernández-Pérez, G. Valle-Peñacoba, P. Simón-Campo, M. de Lera, A. Chavarría-Miranda, et al., "Factors associated with the presence of headache in hospitalized COVID-19 patients and impact on prognosis: a retrospective cohort study", The Journal of Headache and Pain, vol. 21, pp. 94, Jul, 2020.
Messa, J. B. López, JR. Garmendia-Leiza, M. D. Aguilar García, J. María And De Llano, C. Alberola López, and J. Ardura Fernández, "Factores de riesgo cardiovascular en el ritmo circadiano del infarto agudo de miocardio", Revista Española de Cardiología (English Edition), vol. 57, no. 9: Elsevier, pp. 850–858, 2004.
Zhao, T., C. Luo, J. Zhou, D. Guo, N. Chen, and P. Casaseca-de-la-Higuera, "DoA Prediction Based Beamforming with Low Training Overhead for Highly-Mobile UAV Communication with Cellular Networks", Applied Sciences, vol. 10, no. 13: Multidisciplinary Digital Publishing Institute, pp. 4420, 2020.
Garmendia-Leiza, J R., J B. Lopez-Messa, J. Maria Andres-de-Llano, C. Alberola-Lopez, and J. Ardura-Fernández, "Differential circadian rhythms in myocardial infarction according to its extent by electrocardiogram", Medicina clinica, vol. 123, no. 17, pp. 641–646, 2004.
Garmendia-Leiza, J R., J B. Lopez-Messa, J. Maria Andres-de-Llano, C. Alberola-Lopez, and J. Ardura-Fernández, "Diferencias en el ritmo circadiano del infarto de miocardio según su extensión electrocardiográfica", Medicina clinica, vol. 123, no. 17: Elsevier Doyma, pp. 641–645, 2004.
Luo, C., P. Casaseca-de-la-Higuera, S. McClean, G. Parr, and P. Ren, "Characterisation of Received Signal Strength Perturbations using Allan Variance", IEEE Transactions on Aerospace and Electronic Systems, vol. 54, pp. 873-889, 2018.
Messa, J. B. López, JR. Garmendia-Leiza, M. D. Aguilar García, J. María And De Llano, C. Alberola López, and J. Ardura Fernández, "Cardiovascular risk factors in the circadian rhythm of acute myocardial infarction", Revista Española de Cardiología (English Edition), vol. 57, no. 9: Elsevier, pp. 850–858, 2004.

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