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2020
Aja-Fernández, S., A. Tristán-Vega, R. de Luis-García, and D. K. Jones, "Alternative Diffusion Anisotropy Metric from Reduced MRI Acquisitions", Computational Diffusion MRI: Springer, Cham, pp. 13–24, 2020.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, R. de Luis-García, M. Rodríguez, and S. Aja-Fernández, "Alternative Microstructural Measures to Complement Diffusion Tensor Imaging in Migraine Studies with Standard MRI Acquisition", Brain Sciences, vol. 10, pp. 711, 2020.
Pourdarbani, R., S. Sabzi, D. Kalantari, R. Karimzadeh, E. Ilbeygi, and J. I. Arribas, "Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data", Biosystems Engineering, vol. 195, pp. 136–151, 2020.
Pourdarbani, R., S. Sabzi, D. Kalantari, J. Luis Hernández-Hernández, and J. I. Arribas, "A Computer Vision System Based on Majority-Voting Ensemble Neural Network for the Automatic Classification of Three Chickpea Varieties", Foods, vol. 9, pp. 113, 2020.
Sabzi, S., R. Pourdarbani, and J. I. Arribas, "A Computer Vision System for the Automatic Classification of Five Varieties of Tree Leaf Images", Computers, vol. 9, pp. 6, 2020.
Afzali, M., S. Aja-Fernández, and D. K. Jones, "Direction-averaged diffusion-weighted MRI signal using different axisymmetric B-tensor encoding schemes", Magnetic Resonance in Medicine, vol. n/a, 2020.
Afzali, M., S. Aja-Fernández, and D. K. Jones, "Direction-averaged diffusion-weighted MRI signal using different axisymmetric B-tensor encoding schemes", Magnetic Resonance in Medicine, vol. n/a, 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.
Planchuelo-Gómez, Á., S. Aja-Fernández, D. García-Azorín, Á. L. Guerrero, and R. de Luis-García, "Fewer number of gradient directions in diffusion MRI can be counterbalanced with higher sample size: a migraine clinical study", ISMRM 28th annual meeting, vol. 4550, 2020.
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.
Martín-González, E., T. Sevilla, A. Revilla-Orodea, P. Casaseca-de-la-Higuera, and C. Alberola-López, "Groupwise Non-Rigid Registration with Deep Learning: An Affordable Solution Applied to 2D Cardiac Cine MRI Reconstruction", Entropy, vol. 22, pp. 687, 2020.
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.
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.
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.
Abbaspour-Gilandeh, Y., S. Sabzi, F. Azadshahraki, R. Karimzadeh, E. Ilbeygi, and J. I. Arribas, "Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data", Journal of Agricultural Sciences, vol. 26, pp. 339–348, 2020.
Abbaspour-Gilandeh, Y., S. Sabzi, F. Azadshahraki, R. Karimzadeh, E. Ilbeygi, and J. I. Arribas, "Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data", Journal of Agricultural Sciences, vol. 26, pp. 339–348, 2020.
Abbaspour-Gilandeh, Y., S. Sabzi, F. Azadshahraki, R. Karimzadeh, E. Ilbeygi, and J. I. Arribas, "Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data", Journal of Agricultural Sciences, vol. 26, pp. 339–348, 2020.
Pourdarbani, R., S. Sabzi, D. Kalantari, and J. I. Arribas, "Non-destructive visible and short-wave near-infrared spectroscopic data estimation of various physicochemical properties of Fuji apple (Malus pumila) fruits at different maturation stages", Chemometrics and Intelligent Laboratory Systems, pp. 104147, 2020.
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.
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.
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.
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.
Pieciak, T., M. Afzali, F. Bogusz, S. Aja-Fernández, and D. K. Jones, "Q-space quantitative diffusion MRI measures using a stretched-exponential representation", arXiv, 2020.
Pieciak, T., M. Afzali, F. Bogusz, S. Aja-Fernández, and D. K. Jones, "Q-space quantitative diffusion MRI measures using a stretched-exponential representation", arXiv, 2020.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, S. Antón-Juarros, and R. de Luis-García, "Response prediction for chronic migraine preventive treatment by gray matter morphometry in magnetic resonance imaging: a pilot study", Revista de Neurologia, vol. 71, issue 11, pp. 399-406, 2020.

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