Publications

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Journal Article
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.
Tristán-Vega, A., and S. Aja-Fernández, "DWI filtering using joint information for DTI and HARDI", Medical Image Analysis, vol. 14, no. 2: Elsevier, pp. 205–218, 2010.
Cid-Sueiro, J., J. I. Arribas, S. Urban-Munoz, and A. R. Figueiras-Vidal, "Cost functions to estimate a posteriori probabilities in multiclass problems", IEEE Transactions on Neural Networks, vol. 10, pp. 645-656, 1999.
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.
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.
Rabanillo-Viloria, I., A. Zhu, S. Aja-Fernández, C. Alberola-López, and D. Hernando, "Computation of exact g-factor maps in 3D GRAPPA reconstructions", Magnetic resonance in medicine, vol. 81, pp. 1353–1367, 2019.
Alberola-Lopez, C., M. Martin-Fernandez, and J. Ruiz-Alzola, "Comments on: A methodology for evaluation of boundary detection algorithms on medical images", Medical Imaging, IEEE Transactions on, vol. 23, no. 5: IEEE, pp. 658–660, 2004.
Tristán-Vega, A., and V. García-Pérez, "Comments on: A locally constrained radial basis function for registration and warping of images", Pattern Recognition Letters, vol. 32, no. 4, pp. 586 - 589, 2011.
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.
Muñoz-Moreno, E., and M. Martin-Fernandez, "Characterization of the similarity between diffusion tensors for image registration", Computers in biology and medicine, vol. 39, no. 3: Pergamon, pp. 251–265, 2009.
Luo, C., P. Casaseca-de-la-Higuera, S. McClean, G. Parr, and P. Ren, "Characterisation of Received Signal Strength Perturbations using Allan Variance", IEEE Transactions on Aerospace and Electronic Systems, vol. 54, pp. 873-889, 2018.
Messa, J. B. López, JR. Garmendia-Leiza, M. D. Aguilar García, J. María And De Llano, C. Alberola López, and J. Ardura Fernández, "Cardiovascular risk factors in the circadian rhythm of acute myocardial infarction", Revista Española de Cardiología (English Edition), vol. 57, no. 9: Elsevier, pp. 850–858, 2004.
de Luis-García, R., C. Alberola-Lopez, O. Aghzout, and J. Ruiz-Alzola, "Biometric identification systems", Signal Processing, vol. 83, no. 12: Elsevier, pp. 2539–2557, 2003.
Garmendia-Leiza, J R., J. Maria Andres-de-Llano, J. Ardura-Fernández, J B. Lopez-Messa, C. Alberola-Lopez, and P. Casaseca-de-la-Higuera, "Beta blocker therapy modifies circadian rhythm acute myocardial infarction", International journal of cardiology, vol. 147, no. 2: Elsevier, pp. 316–317, 2011.
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.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, M. Martin-Fernandez, and C. Alberola-Lopez, "Automatic noise estimation in images using local statistics. Additive and multiplicative cases", Image and Vision Computing, vol. 27, no. 6: Elsevier, pp. 756–770, 2009.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, J. Maria Andres-de-Llano, J R. Garmendia-Leiza, S. Alberola-Lopez, and C. Alberola-Lopez, "Automatic detection of wakefulness and rest intervals in actigraphic signals: A data-driven approach", Medical engineering & physics, vol. 36, no. 12: Elsevier, pp. 1585–1592, 2014.
Arribas, J. I., V. D. Calhoun, and T. Adali, "Automatic bayesian classification of healthy controls, bipolar disorder, and schizophrenia using intrinsic connectivity maps from fMRI data", IEEE Transactions on Biomedical Engineering, vol. 57, pp. 2850-2860, 2010.
Martin-Fernandez, M. Angel, R. Cárdenes-Almeida, E. Muñoz-Moreno, R. de Luis-García, M. Martin-Fernandez, and C. Alberola-Lopez, "Automatic articulated registration of hand radiographs", Image and Vision Computing, vol. 27, no. 8: Elsevier, pp. 1207–1222, 2009.
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.
Monge-Álvarez, J., C. Hoyos-Barceló, K. Dahal, and P. Casaseca-de-la-Higuera, "Audio-cough event detection based on moment theory", Applied Acoustics, vol. 135, pp. 124–135, 2018.
de Luis-García, R., G. Cabús-Piñol, C. Imaz-Roncero, D. Argibay-Quiñones, G. Barrio-Arranz, S. Aja-Fernández, and C. Alberola-Lopez, "Attention Deficit/Hyperactivity Disorder and Medication with Stimulants in Young Children: A DTI Study", Progress in Neuro-Psychopharmacology and Biological Psychiatry, vol. 57: Elsevier, 2015.
Aja-Fernández, S., A. Tristán-Vega, and D. K. Jones, "Apparent propagator anisotropy from single-shell diffusion MRI acquisitions", Magnetic Resonance in Medicine, vol. 85, issue 5, pp. 2869-2881, 2021.
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.
Aja-Fernández, S., G. París, C. Martín-Martín, D. K. Jones, and AT. -Vega, "Anisotropy measure from three diffusion-encoding gradient directions", Magnetic Resonance Imaging, vol. 88, pp. 38–43, 2022.

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