Export 412 results:
Author Title [ Type(Desc)] Year
Journal Article
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.
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.
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.
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.
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., 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.