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Alberola-Lopez, S., D. Martín-Martínez, P. Casaseca-de-la-Higuera, I. Casares-Alonso, I. Pérez-García, A. Cano-Garcinuño, J. Antonio López-Villalobos, F.C. Ruiz, J. Maria Andres-de-Llano, C. Alberola-Lopez, et al., "TDAH en atención primaria: Registro de la Actividad mediante actimetría ambulatoria. Mesa Redonda. Ponencia Invitada", 61º Congreso Anual de la Asociación Española de Pediatría. Granada, vol. 61, Granada, Spain, pp. 34-39, 2012.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Techniques for tracking: image registration", Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video: IET, 2018.
Martin-Fernandez, M., L. Cordero-Grande, E. Muñoz-Moreno, and C. Alberola-Lopez, "Techniques in the contour detection of kidneys and their applications", World Scientific Publishing Company, pp. 381–398, 2007.
García-Azorín, D., J. Abelaira-Freire, E. Rodriguez-Adrada, N. González-García, Á. Planchuelo-Gómez, Á. L. Guerrero, J. Porta-Etessam, and F. J. Martín-Sánchez, "Temporal distribution of emergency room visits in patients with migraine and other headaches", Expert Review of Neurotherapeutics, vol. 21, issue 5, pp. 599-605, 2021.
Westin, C-F., M. Martin-Fernandez, C. Alberola-Lopez, J. Ruiz-Alzola, and H. Knutsson, "Tensor field regularization using normalized convolution and markov random fields in a bayesian framework", Visualization and Processing of Tensor Fields: Springer Berlin Heidelberg, pp. 381–398, 2006.
de Luis-García, R., R. Deriche, M. Rousson, and C. Alberola-Lopez, "Tensor processing for texture and colour segmentation", Image Analysis: Springer, pp. 1117–1127, 2005.
Plumley, A., F. Padormo, M. Cercignani, R. O'Halloran, R. Teixeira, Á. Planchuelo-Gómez, A. Legouhy, T. Luo, and D. K. Jones, "Tensors and Tracts at 64 mT", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 104, 2023.
Plumley, A., F. Padormo, M. Cercignani, R. O'Halloran, R. Teixeira, Á. Planchuelo-Gómez, A. Legouhy, T. Luo, and D. K. Jones, "Tensors and Tracts at 64 mT", ISMRM Workshop on Diffusion MRI: From Research to Clinic, Amsterdam, The Netherlands, 2022.
Aja-Fernández, S., R. de Luis-García, D. Tao, and X. Li, Tensors in image processing and computer vision: Springer, 2009.
de Luis-García, R., R. Deriche, and C. Alberola-Lopez, "Texture and color segmentation based on the combined use of the structure tensor and the image components", Signal Processing, vol. 88, no. 4: Elsevier, pp. 776–795, 2008.
San-José-Revuelta, L. M., and J. I. Arribas, "Three Natural Computation methods for joint channel estimation and symbol detection in multiuser communications", Applied Soft Computing, vol. 49, pp. 561 - 569, 2016.
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.
Merino-Caviedes, S., L. Cordero-Grande, T. Pérez M Rodríguez, T. Sevilla-Ruiz, A. Revilla-Orodea, M. Martín-Fernández, and C. Alberola-Lopez, "Tissue and Label Modelling for Segmentation of Scar with Contour Correction in Cardiac DE-CMR Volumes", XXXIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica, Madrid, Spain, 2015.
Merino-Caviedes, S., L. Cordero-Grande, M. T. Pérez Rodríguez, T. Sevilla-Ruiz, A. Revilla-Orodea, M. Martín-Fernández, and C. Alberola-Lopez, "Tissue and Label Modelling for Segmentation of Scar with Contour Correction in Cardiac DE-CMR Volumes", XXXIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica, Madrid, Spain, 11/2015.
Aja-Fernández, S., M. Martin-Fernandez, and C. Alberola-Lopez, "Tissue identification in ultrasound images using rayleigh local parameter estimation", Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on: IEEE, pp. 1129–1133, 2007.
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.
Cordero-Grande, L., G. Vegas-Sánchez-Ferrero, P. Casaseca-de-la-Higuera, and C. Alberola-Lopez, "Topology-preserving registration: a solution via graph cuts", Combinatorial Image Analysis: Springer, pp. 420–431, 2011.
Moya-Sáez, E., R. de Luis-García, and C. Alberola-López, "Toward deep learning replacement of gadolinium in neuro-oncology: A review of contrast-enhanced synthetic MRI", Frontiers in Neuroimaging, vol. 2, 2023.
Mi, Y., C. Luo, G. Min, P. Casaseca-de-la-Higuera, and Z. Wang, "Towards Optimal Power Splitting in Simultaneous Power and Information Transmission", 2018 IEEE Global Communications Conference (GLOBECOM): IEEE, pp. 1–6, 2018.
de Luis-García, R., and C. Alberola-Lopez, "Tractography clustering for fiber selection in ROI-based diffusion tensor studies", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 5665–5668, 2010.
Merino-Caviedes, S., L. Cordero-Grande, T. M Pérez, and M. Martin-Fernandez, "Transmurality Maps in Late Enhancement Cardiac Magnetic Resonance Imaging by a New Radial Fast Marching Method", XXIX Congreso Anual de la Sociedad Española de Ingeniería Biomédica, Cáceres, Spain, pp. 211–214, 2011.
Martin-Fernandez, M., S. Bouix, L. Ungar, R. W. McCarley, and M. E. Shenton, "Two methods for validating brain tissue classifiers", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005: Springer Berlin Heidelberg, pp. 515–522, 2005.
San-José-Revuelta, L. M., and P. Casaseca-de-la-Higuera, "Two-stage memetic algorithm for blind equalisation in direct-sequence/code-division multiple-access systems", IET Communications: IET Digital Library, 2020.
San Jose-Estepar, R., M. Martin-Fernandez, P. P Caballero-Martínez, C. Alberola-Lopez, and J. Ruiz-Alzola, "A theoretical framework to three-dimensional ultrasound reconstruction from irregularly sampled data", Ultrasound in medicine & biology, vol. 29, no. 2: Elsevier, pp. 255–269, 2003.
Sabzi, S., H. Javadikia, and J. I. Arribas, "A three-variety automatic and non-intrusive computer vision system for the estimation of orange fruit pH value", Measurement, vol. 152, pp. 107298, 2020.

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