Publications

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Journal Article
Sabzi, S., Y. Abbaspour-Gilandeh, and J. I. Arribas, "An automatic visible-range video weed detection, segmentation and classification prototype in potato field", Heliyon, vol. 6, pp. e03685, 2020.
Javadikia, H., S. Sabzi, and J. I. Arribas, "An automatic and non-intrusive hybrid computer vision system for the estimation of peel thickness in Thomson orange", Spanish Journal of Agricultural Research, vol. 16, issue 4, pp. e0204, 2018.
Martin-Fernandez, M., and C. Alberola-Lopez, "An approach for contour detection of human kidneys from ultrasound images using Markov random fields and active contours", Medical Image Analysis, vol. 9, no. 1: Elsevier, pp. 1–23, 2005.
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.
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.
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.
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.
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.
Lopez-Messa, J B., JR. Garmendia-Leiza, MD. Aguilar-Garcia, J. María And De Llano, J. Ardura-Fernández, and C. Alberola-Lopez, "Age as modifying factor of circadian rhythm of acute myocardial infarction", MEDICINA INTENSIVA, vol. 29, no. 9: IDEPSA, pp. 455, 2005.
Ruiz-Alzola, J., C. Alberola-Lopez, and C-F. Westin, "Advanced signal processing methods for biomedical imaging", International journal of biomedical imaging, vol. 2013: Hindawi Publishing Corporation, 2013.
Fuster, A., T. Dela-Haije, A. Tristán-Vega, B. Plantinga, C-F. Westin, and L. Florack, "Adjugate Diffusion Tensors for Geodesic Tractography in White Matter", Journal of Mathematical Imaging and Vision, vol. 54, pp. 1–14, 2015.
Martin-Fernandez, M., E. Muñoz-Moreno, L. Cammoun, J-P. Thiran, C-F. Westin, and C. Alberola-Lopez, "Addendum to “Sequential anisotropic multichannel Wiener filtering with Rician bias correction applied to 3D regularization of DWI data”[Medical Image Analysis 13 (2009) 19–35]", Medical image analysis, vol. 13, no. 6: Elsevier, pp. 910, 2009.
Garmendia-Leiza, J R., J. Maria Andres-de-Llano, J. Ardura-Fernández, J B. Lopez-Messa, MD. Aguilar-Garcia, and C. Alberola-Lopez, "Acute myocardial infarction circadian rhythm in a geriatric population in Castilla y Leon", Journal of the American Geriatrics Society, vol. 57, no. 7: Wiley Online Library, pp. 1312–1313, 2009.
Tristán-Vega, A., G. París, R. de Luis-García, and S. Aja-Fernández, "Accurate free-water estimation in white matter from fast diffusion MRI acquisitions using the spherical means technique", Magnetic Resonance in Medicine, vol. 87, issue 2, pp. 1028-1035, 2022, 2021.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, and A. Tristán-Vega, "About the background distribution in MR data: a local variance study", Magnetic resonance imaging, vol. 28, no. 5: Elsevier, pp. 739–752, 2010.

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