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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.
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.
Planchuelo-Gómez, Á., J. Trigo, R. de Luis-García, Á. L. Guerrero, J. Porta-Etessam, and D. García-Azorín, "Deep Phenotyping of Headache in Hospitalized COVID-19 Patients via Principal Component Analysis", Frontiers in Neurology, vol. 11, pp. 1751, 2020.
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.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "White Matter Alterations in Chronic Migraine: A Diffusion Tensor Imaging and Structural Connectivity Study", 19th International Headache Congress International Headache Society, Dublin, Ireland, Cephalalgia, 2019.
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.
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.
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., R. de Luis-García, A. Tristán-Vega, D. García-Azorín, Á. L. Guerrero, and S. Aja-Fernández, "AMURA with standard single-shell acquisition can detect changes beyond the Diffusion Tensor: a migraine clinical study", ISMRM 28th annual meeting, vol. 4549, 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.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "Structural connectivity alterations in chronic and episodic migraine: A diffusion magnetic resonance imaging connectomics study", Cephalalgia, vol. 40, issue 4, pp. 367-383, 2020.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "White matter changes in chronic and episodic migraine: a diffusion tensor imaging study", The Journal of Headache and Pain, vol. 21, issue 1, pp. 1, 2020.
Portilla, J., A. Tristán-Vega, and I. W. Selesnick, "Efficient and Robust Image Restoration Using Multiple-Feature L2-Relaxed Sparse Analysis Priors", IEEE Transactions on Image Processing, vol. 24, pp. 5046-5059, Dec, 2015.
Portillo-Garcia, J., J. I. Trueba-Santander, G. de Miguel-Vela, and C. Alberola-Lopez, "Efficient multispectral texture segmentation using multivariate statistics", IEE Proceedings-Vision, Image and Signal Processing, vol. 145, no. 5: IEE, pp. 357–364, 1998.
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.
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.
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Rabanillo, I., S. Aja-Fernández, C. Alberola-Lopez, and D. Hernando, "Exact Calculation of Noise Maps and g-Factor in GRAPPA using a k-space Analysis", IEEE Transactions on Medical Imaging, vol. 37, issue 2, pp. 480-490, 2018.
Rabanillo, I., S. Sanz-Estébanez, S. Aja-Fernández, J. V. Hajnal, C. Alberola-Lopez, and L. Cordero-Grande, "Joint Image Reconstruction and Phase Corruption Maps Estimation in Multi-Shot Echo Planar Imaging", MICCAI, Granada, MICCAI, 09/2018.
Rabanillo-Viloria, I., A. Zhu, S. Aja-Fernández, C. Alberola-Lopez, and D. Hernando, "Computation of exact g-factor maps in 3D GRAPPA reconstructions", Magnetic resonance in medicine, vol. 81, pp. 1353–1367, 2019.
Ramos-Llorden, G., G. Vegas-Sánchez-Ferrero, M. Martin-Fernandez, C. Alberola-Lopez, and S. Aja-Fernández, "Anisotropic Diffusion Filter with Memory based on Speckle Statistics for Ultrasound Images", IEEE Transactions on image processing, vol. 24, issue 1, 2015.
Ramos-Llorden, G., G. Vegas-Sánchez-Ferrero, S. Aja-Fernández, M. Martin-Fernandez, and C. Alberola-Lopez, "Fast Anisotropic Speckle Filter for Ultrasound Medical Images", XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013: Springer International Publishing, pp. 253–256, 2013.
Ramos-Llordén, G., S. Aja-Fernández, and G. Vegas-Sánchez-Ferrero, "Introduction to speckle filtering", Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video: IET, 2018.
Royuela, A., M. A. Padilla-Marcos, A. Meiss, P. Casaseca-de-la-Higuera, and J. Feijó-Muñoz, "Air Infiltration Monitoring using Thermography and Neural Networks", Energy and Buildings, vol. 191, pp. 187-199, 05/2019.
Royuela-del-Val, J., L. Cordero-Grande, F. Simmross-Wattenberg, M. Martin-Fernandez, and C. Alberola-Lopez, "Jacobian weighted temporal total variation for motion compensated compressed sensing reconstruction of dynamic MRI", Magnetic Resonance in Medicine, 2016.

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