Publications

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Journal Article
Leal-Campanario, R., L. Alarcon-Martinez, H. Rieiro, S. Martinez-Conde, T. Alarcon-Martinez, X. Zhao, J. LaMee, P.J. Popp, M.E. Calhoun, J. I. Arribas, et al., "Abnormal Capillary Vasodynamics Contribute to Ictal Neurodegeneration in Epilepsy", Scientific Reports, vol. 7, 2017.
Cárdenes-Almeida, R., E. Muñoz-Moreno, R. Sarabia-Herrero, M. Rodríguez-Velasco, J. José Fuertes-Alija, and M. Martin-Fernandez, "Analysis of the pyramidal tract in tumor patients using diffusion tensor imaging", NeuroImage, vol. 50, no. 1: Elsevier, pp. 27–39, 2010.
Simmross-Wattenberg, F., J. Ignacio Asensio-Pérez, P. Casaseca-de-la-Higuera, M. Martin-Fernandez, Y. A. Dimitriadis, and C. Alberola-Lopez, "Anomaly detection in network traffic based on statistical inference and alpha-stable modeling", Dependable and Secure Computing, IEEE Transactions on, vol. 8, pp. 494–509, 2011.
Sabzi, S., Y. Abbaspour-Gilandeh, G. Garcia-Mateos, A. Ruiz-Canales, J. M. Molina-Martinez, and J. I. Arribas, "An Automatic Non-Destructive Method for the Classification of the Ripeness Stage of Red Delicious Apples in Orchards Using Aerial Video", Agronomy, vol. 9, issue 84, 2019.
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.
Martín-González, E., E. Moya-Sáez, R-M. Menchón-Lara, J. Royuela-del-Val, C. Palencia-de-Lara, M. Rodríguez-Cayetano, F. Simmross-Wattenberg, and C. Alberola-Lopez, "A Clinically Viable Vendor-Independent and Device-Agnostic Solution for Accelerated Cardiac MRI Reconstruction", Computer Methods and Programs in Biomedicine, vol. 207, 2021.
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.
Gonzalez-Martinez, A., Á. Planchuelo-Gómez, Á. L. Guerrero, D. García-Azorín, S. Santos-Lasaosa, M. Pilar Navarro-Pérez, P. Odriozola-González, M. Jesús Irurtia, S. Quintas, R. de Luis-García, et al., "Effects of the onabotulinumtoxinA follow-up delay in migraine course during the COVID-19 lockdown", Neurological Sciences, vol. 42, pp. 5087-5092, 2021.
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.
Hoyos-Barceló, C., J. Monge-Álvarez, Z. Pervez, L. M. San-José-Revuelta, and P. Casaseca-de-la-Higuera, "Efficient computation of image moments for robust cough detection using smartphones", Computers in biology and medicine, vol. 100, pp. 176–185, 2018.
Hoyos-Barceló, C., J. Monge-Álvarez, M. Zeeshan Shakir, J-M. Alcaraz-Calero, and P. Casaseca-de-la-Higuera, "Efficient k-NN Implementation for Real-Time Detection of Cough Events in Smartphones", IEEE Journal of Biomedical and Health Informatics, vol. 23, pp. 1662-1671, 2018.
San-Jose-Revuelta, L. Miguel, M. Martin-Fernandez, and C. Alberola-Lopez, "Efficient tracking of MR tensor fields using a multilayer neural network", IAENG International Journal of Computer Science, vol. 35, no. 1, pp. 129–139, 2008.
Gonzalez-Martinez, A., Á. Planchuelo-Gómez, Á. L. Guerrero, D. García-Azorín, S. Santos-Lasaosa, M. Pilar Navarro-Pérez, P. Odriozola-González, M. Jesús Irurtia, S. Quintas, R. de Luis-García, et al., "Evaluation of the Impact of the COVID-19 Lockdown in the Clinical Course of Migraine", Pain Medicine, vol. 22, pp. 2079-2091, 2021.
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.
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.
Menchón-Lara, R-M., J. Royuela-del-Val, F. Simmross-Wattenberg, P. Casaseca-de-la-Higuera, M. Martín-Fernández, and C. Alberola-López, "Fast 4D elastic group-wise image registration. Convolutional interpolation revisited", Computer Methods and Programs in Biomedicine, vol. 200, pp. 105812, 2021.
Simmross-Wattenberg, F., M. Martín-Fernández, P. Casaseca-de-la-Higuera, and C. Alberola-Lopez, "Fast calculation of alpha-stable density functions based on off-line precomputations. Application to ML parameter estimation", Digital Signal Processing, vol. 38, pp. 1-12, 2015.
Vegas-Sánchez-Ferrero, G., J. Seabra, O. Rodriguez-Leor, A. Serrano-Vida, S. Aja-Fernández, C. Palencia, M. Martin-Fernandez, and J. Sanches, "Gamma mixture classifier for plaque detection in intravascular ultrasonic images", Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on, vol. 61, no. 1: IEEE, pp. 44–61, 2014.
Vegas-Sánchez-Ferrero, G., J. Seabra, O. Rodriguez-Leor, A. Serrano-Vida, S. Aja-Fernández, C. Palencia, M. Martin-Fernandez, and J. Sanches, "Gamma mixture classifier for plaque detection in intravascular ultrasonic images", Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on, vol. 61, no. 1: IEEE, pp. 44–61, 2014.
Vegas-Sánchez-Ferrero, G., J. Seabra, O. Rodriguez-Leor, A. Serrano-Vida, S. Aja-Fernández, C. Palencia, M. Martin-Fernandez, and J. Sanches, "Gamma mixture classifier for plaque detection in intravascular ultrasonic images", Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on, vol. 61, no. 1: IEEE, pp. 44–61, 2014.

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