Publications

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Peña-Nogales, Ó., Y. Zhang, X. Wang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling", Magnetic resonance in medicine, 2018.
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.
Peña-Nogales, Ó., R. de Luis-García, S. Aja-Fernández, Y. Zhang, J. H. Holmes, and D. Hernando, "Optimal design of motion-compensated diffusion gradient waveforms ", International Society of Magnetic Resonance in Medicine 25th Annual Meeting and Exhibition, Honolulu, HI, USA, pp. 3340, 2017.
Peña-Nogales, Ó., Y. Zhang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimal Diffusion-weighting Gradient Waveform Design (ODGD): Formulation and Experimental Validation", International Society of Magnetic Resonance in Medicine 26th Annual Meeting and Exhibition, Paris, France, pp. 685, 2018.
Segura-Méndez, B., Á. Planchuelo-Gómez, Á. Sierra, D. García-Azorín, E. Velasco-García, Á. Fuentes-Martín, C. Sánchez, V-A. I. de la Lastra, Á. L. Guerrero, and Y. Carrascal, "Objective measurement of pain related to cardiac surgery: a study using algometry", 8th Congress of the European Academy of Neurology, 2022.
Alberola-Lopez, C., JR. Casar-Corredera, and G. de Miguel-Vela, "Object CFAR detection in gamma-distributed textured-background images", IEE Proceedings-Vision, Image and Signal Processing, vol. 146, no. 3: IEE, pp. 130–136, 1999.
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Martin-Fernandez, M. Angel, C. Alberola-Lopez, J. Sanz de Acedo, and J. Ruiz-Alzola, "Multiresolution compression schemes for medical image and volume data", Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE, vol. 3: IEEE, pp. 2437–2440, 2001.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "Multimodal fusion analysis of structural connectivity and gray matter morphology in migraine", Human Brain Mapping, vol. 42, issue 4, pp. 908-921, 2021.
Cárdenes-Almeida, R., M. Bach, Y. Chi, I. Marras, R. de Luis-García, M. Anderson, P. Cashman, and M. Bultelle, "Multimodal evaluation for medical image segmentation", Computer Analysis of Images and Patterns: Springer, 2007.
Aja-Fernández, S., T. Pieciak, C. Martín-Martín, Á. Planchuelo-Gómez, R. de Luis-García, and A. Tristán-Vega, "Moment-based representation of the diffusion inside the brain from reduced DMRI acquisitions: Generalized AMURA", Medical Image Analysis, vol. 77, pp. 102356, 2022.
Simmross-Wattenberg, F., A. Tristán-Vega, P. Casaseca-de-la-Higuera, J. Ignacio Asensio-Pérez, M. Martin-Fernandez, Y. A. Dimitriadis, and C. Alberola-Lopez, "Modelling Network Traffic as alpha-Stable Stochastic Processes: An Approach Towards Anomaly Detection", Proc. VII Jornadas de Ingenierıa Telematica (JITEL), pp. 25–32, 2008.
de Luis-García, R., and C. Alberola-Lopez, "Mixtures of gaussians on tensor fields for DT-MRI segmentation", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: Springer, pp. 319–326, 2007.
Aja-Fernández, S., R. de Luis-García, M. Afzali, M. Molendowska, T. Pieciak, and A. Tristán-Vega, "Micro-structure diffusion scalar measures from reduced MRI acquisitions", PLOS ONE, vol. 15, pp. 1-25, 2020.
Gonzalez-Martinez, A., Á. Planchuelo-Gómez, A. Vieira Campos, F. Martínez-Dubarbie, J. Vivancos, and M. De Toledo-Heras, "Medium-term changes in patients with epilepsy during the COVID-19 pandemic", Acta Neurologica Scandinavica, vol. 144, pp. 450-459, 2021.
Martín-González, E., R. de Luis-García, P. Casaseca-de-la-Higuera, J. R. Garmendia-Leiza, J. Maria Andres-de-Llano, and C. Alberola-López, "Mapping Raw Acceleration Data on ActiGraph Counts: A Machine Learning Approach", Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality, New York, NY, USA, ACM, 2018.
Treceño-Fernández, D., J. Calabia-del-Campo, F. Matute-Teresa, M. L. Bote-Lorenzo, E. Gómez-Sánchez, R. de Luis-García, and C. Alberola-López, "Magnetic Resonance Simulation in Education: Quantitative Evaluation of an Actual Classroom Experience", Sensors, vol. 21, pp. 6011, 2021.
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Planchuelo-Gómez, Á., G. Marchante-Reíllo, Á. Sierra, D. García-Azorín, C. Martín-Martín, R. de Luis-García, S. Aja-Fernández, R. Moro, M. Rodríguez, Y. González-Osorio, et al., "Long-term grey matter structural changes in the transition from chronic migraine to episodic migraine", 8th Congress of the European Academy of Neurology, 2022.
Gonzalez-Martinez, A., Á. Planchuelo-Gómez, A. Vieira, F. Martínez-Dubarbie, J. Vivancos, and M. De Toledo, "Longitudinal reduction of quality of life in patients with epilepsy and no seizure increase during the COVID-19 pandemic", 7th Congress of the European Academy of Neurology, Virtual Congress, Wiley, 2021.
Planchuelo-Gómez, Á., P. Odriozola-González, M. Jesús Irurtia, and R. de Luis-García, "Longitudinal evaluation of the psychological impact of the COVID-19 crisis in Spain", Journal of Affective Disorders, vol. 277, pp. 842-849, 2020.
Peña-Nogales, Ó., T. Michael Ellmore, R. de Luis-García, J. Suescun, M. Caryn Schiess, and L. Giancardo, "Longitudinal Connectomes as a Candidate Progression Marker for Prodromal Parkinson's Disease", Frontiers in Neuroscience, vol. 12, pp. 967, 2018.
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.

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