Publications

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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.
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.
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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Treceño-Fernández, D., J. Calabia-del-Campo, M. L. Bote-Lorenzo, E. Gómez-Sánchez, R. de Luis-García, and C. Alberola-López, "Integration of an Intelligent Tutoring System in a Magnetic Resonance Simulator for Education: Technical Feasibility and User Experience", Computer Methods and Programs in Biomedicine, pp. 105634, 2020.
Navarro-González, R., D. García-Azorín, Á. L. Guerrero, Á. Planchuelo-Gómez, S. Aja-Fernández, and R. de Luis-García, "Increased T1w MRI-based brain age in chronic migraine patients", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 5327, 2023.
Navarro-González, R., D. García-Azorín, Á. L. Guerrero-Peral, Á. Planchuelo-Gómez, S. Aja-Fernández, and R. de Luis-García, "Increased MRI-based Brain Age in chronic migraine patients", The Journal of Headache and Pain, vol. 24, pp. 133, 2023.
Barrio-Arranz, G., R. de Luis-García, A. Tristán-Vega, M. Martín-Fernández, and S. Aja-Fernández, "Impact of MR Acquisition Parameters on DTI Scalar Indexes: A Tractography Based Approach", PLoS ONE, vol. 10, pp. e0137905, 2015.
Muñoz-Moreno, E., R. Cárdenes-Almeida, R. de Luis-García, M. Angel Martin-Fernandez, and C. Alberola-Lopez, "Image registration based on automatic detection of anatomical landmarks for bone age assessment", WSEAS Transactions on Computers, vol. 4, no. 11, pp. 1596–1603, 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.
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de Luis-García, R., and C. Alberola-Lopez, "Hip joint segmentation from 2D ultrasound data based on dynamic shape priors", Proceedings of the 4th WSEAS international conference on Electronics, control and signal processing: World Scientific and Engineering Academy and Society (WSEAS), pp. 245–250, 2005.
Gonzalez-Martinez, A., Á. Planchuelo-Gómez, Á. L. Guerrero, D. García-Azorín, S. Santos-Lasaosa, M. P. Navarro-Pérez, P. Odriozola-González, M. Jesús Irurtia, S. Quintas, R. de Luis-García, et al., "Has onabotulinumtoxinA follow-up delay during COVID-19 lockdown affected the migraine course?", International Headache Congress 2021, Virtual Congress, International Headache Society & European Headache Federation, 2021.
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Cordero-Grande, L., S. Merino-Caviedes, R. de Luis-García, S. Aja-Fernández, M. Martin-Fernandez, and C. Alberola-Lopez, "Groupwise myocardial alignment in magnetic resonance perfusion sequences", Proc of the XXIX CASEIB, Cáceres, Spain, pp. 437–440, 2011.
Sanz-Estébanez, S., Ó. Peña-Nogales, R. de Luis-García, S. Aja-Fernández, and C. Alberola-Lopez, "Groupwise Non-Rigid Registration on Multiparametric Abdominal DWI Acquisitions for Robust ADC Estimation: Comparison with Pairwise Approaches and Different Multimodal Metrics", International Symposium on Biomedical Imaging: From Nano to Macro (ISBI2017), Melbourne, Australia, 2017.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, R. Moro, and R. de Luis-García, "Gray matter cortical changes in patients with persistent headache after COVID-19 infection: an exploratory study", International Headache Congress 2021, Virtual Congress, International Headache Society & European Headache Federation, 2021.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, M. Rodríguez, S. Aja-Fernández, and R. de Luis-García, "Gray Matter Structural Alterations in Chronic and Episodic Migraine: A Morphometric Magnetic Resonance Imaging Study", Pain Medicine, vol. 21, issue 11, pp. 2997-3011, 2020.
de Luis-García, R., C-F. Westin, and C. Alberola-Lopez, "Geometrical constraints for robust tractography selection", NeuroImage, vol. 81: Academic Press, pp. 26–48, 2013.
de Luis-García, R., and C. Alberola-Lopez, "General Medical Image Computing–I-Mixtures of Gaussians on Tensor Fields for DT-MRI Segmentation", Lecture Notes in Computer Science, vol. 4791: Berlin: Springer-Verlag, 1973-, pp. 319–326, 2007.
de Luis-García, R., C-F. Westin, and C. Alberola-Lopez, "Gaussian mixtures on tensor fields for segmentation: Applications to medical imaging", Computerized Medical Imaging and Graphics, vol. 35, no. 1: Elsevier, pp. 16–30, 2011.

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