Publications

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San-José-Revuelta, L. M., and P. Casaseca-de-la-Higuera, "A new flower pollination algorithm for equalization in synchronous DS/CDMA multiuser communication systems", Soft Computing: Springer Berlin Heidelberg, pp. 1–15, 2000, 2020.
Sabzi, S., Y. Abbaspour-Gilandeh, and J. I. Arribas, "A new method based on computer vision for non-intrusive orange peel sorting", 2017 56th FITCE Congress: IEEE, 2017.
San-Jose-Revuelta, L. Miguel, M. Martin-Fernandez, and C. Alberola-Lopez, "A new method for fiber tractography in diffusion tensor magnetic resonance images", Proc. of the IEEE Int’l Conf. on Signal and Image Processing, ICSIP, vol. 6, pp. 380–385, 2006.
Tristán-Vega, A., C-F. Westin, and S. Aja-Fernández, "A new methodology for the estimation of fiber populations in the white matter of the brain with the Funk–Radon transform", NeuroImage, vol. 49, no. 2: Academic Press, pp. 1301–1315, 2010.
San-Jose-Revuelta, L. Miguel, M. Martin-Fernandez, and C. Alberola-Lopez, "A new proposal for 3D fiber tracking in synthetic diffusion tensor magnetic resonance images", Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on: IEEE, pp. 1–4, 2007.
Martin-Fernandez, M., R. San Jose-Estepar, C-F. Westin, and C. Alberola-Lopez, "A novel Gauss-Markov random field approach for regularization of diffusion tensor maps", Computer Aided Systems Theory-EUROCAST 2003: Springer Berlin Heidelberg, pp. 506–517, 2003.
Tardón-García, L. J., J. Portillo-Garcia, and C. Alberola-Lopez, "A novel Markovian formulation of the correspondence problem in stereo vision", Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, vol. 34, no. 3: IEEE, pp. 428–436, 2004.
Martin-Fernandez, M. Angel, C. Alberola-Lopez, and J. Ruiz-Alzola, "A novel error criterion for multiresolution volume data compression", [Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint, vol. 2: IEEE, pp. 1159–vol, 1999.
Zhang, H., C. Luo, Q. Wang, M. Kitchin, A. Parmley, J. Monge-Alvarez, and P. Casaseca-de-la-Higuera, "A novel infrared video surveillance system using deep learning based techniques", Multimedia Tools and Applications, vol. 77, issue 26676, 2018.
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Tristán-Vega, A., and J. I. Arribas, "A radius and ulna TW3 bone age assessment system", IEEE Transactions on Biomedical Engineering, vol. 55, pp. 1463-1476, 2008.
Tristán-Vega, A., and J. I. Arribas, "A radius and ulna skeletal age assessment system", 2005 IEEE Workshop on Machine Learning for Signal Processing, Mystic, CT, 2005.
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Alberola-Lopez, C., and M. Martin-Fernandez, "A simple test of equality of time series", Signal processing, vol. 83, no. 6: Elsevier, pp. 1343–1348, 2003.
Sánchez-Ferrero, G. Vegas, and J. I. Arribas, "A statistical-genetic algorithm to select the most significant features in mammograms", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4673 LNCS, pp. 189-196, 2007.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, M. Martin-Fernandez, A. Amira, C. Luo, C. Grecos, and C. Alberola-Lopez, "A stochastic modelling framework for the reconstruction of cardiovascular signals", Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, vol. 36: IEEE, pp. 676-679, 2014.
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Aja-Fernández, S., and K. Krissian, "An unbiased Non-Local Means scheme for DWI filtering", Proceedings of the Medical Image Computing and Computer Assisted Intervention: Workshop on Computational Diffusion MRI, pp. 277–284, 2008.
Gonzalez-Martinez, A., Á. Planchuelo-Gómez, F. Martínez-Dubarbie, A. Vieira Campos, J. Vivancos, and M. De Toledo, "The utility of the GAD-7 anxiety, NDDI-E depression, Epworth sleepiness and QOLIE-31-P quality of life scales in patients with epilepsy in real clinical practice (2379)", Proceedings of the American Academy of Neurology 2021 Virtual Annual Meeting: Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology, 2021.

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