Publications

Export 318 results:
Author Title [ Type(Desc)] Year
Journal Article
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.
de Luis-Garcia, 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.
Martin-Fernandez, M. Angel, R. Cárdenes-Almeida, E. Muñoz-Moreno, R. de Luis-Garcia, 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. M. 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-Sanchez-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.
Garmendia-Leiza, J R., J. M. 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-Garcia, 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, J. R. Garmendi 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, 2017.
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.
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.
Aja-Fernández, S., R. de Luis-Garcia, M. Angel Martin-Fernandez, and C. Alberola-Lopez, "A computational TW3 classifier for skeletal maturity assessment. A Computing with Words approach", Journal of Biomedical Informatics, vol. 37, no. 2: Academic Press, pp. 99–107, 2004.
Santos-Mayo, L.., L. Miguel San-Jose-Revuelta, and J. I. Arribas, "A computer-aided diagnosis system with EEG based on the P3b wave during an auditory odd-ball task in schizophrenia", IEEE Transactions on Biomedical Engineering, vol. PP, no. 99, pp. 1-1, 2016.
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.
Garmendia-Leiza, J R., J B. Lopez-Messa, J. M. Andres-de-Llano, C. Alberola-Lopez, and J. Ardura-Fernández, "Diferencias en el ritmo circadiano del infarto de miocardio según su extensión electrocardiográfica", Medicina clinica, vol. 123, no. 17: Elsevier Doyma, pp. 641–645, 2004.
Garmendia-Leiza, J R., J B. Lopez-Messa, J. M. Andres-de-Llano, C. Alberola-Lopez, and J. Ardura-Fernández, "Differential circadian rhythms in myocardial infarction according to its extent by electrocardiogram", Medicina clinica, vol. 123, no. 17, pp. 641–646, 2004.
Vegas-Sanchez-Ferrero, G., S. Aja-Fernández, M. Martin-Fernandez, and C. Palencia, "A direct calculation of moments of the sample variance", Mathematics and Computers in Simulation, vol. 82, no. 5: North-Holland, pp. 790–804, 2012.
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.
Aja-Fernández, S., V. Brion, and A. Tristán-Vega, "Effective noise estimation and filtering from correlated multiple-coil MR data", Magnetic resonance imaging, vol. 31, no. 2: Elsevier, pp. 272–285, 2013.
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.
Tristán-Vega, A., V. García-Pérez, S. Aja-Fernández, and C-F. Westin, "Efficient and robust nonlocal means denoising of MR data based on salient features matching", Computer methods and programs in biomedicine, vol. 105, no. 2: Elsevier, pp. 131–144, 2012.
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, 2017.

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