Publications

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Journal Article
Martin-Fernandez, M., M. Angel Martin-Fernandez, C. Alberola-Lopez, and J. Ruiz-Alzola, "A topology-based filling algorithm", Computers & Graphics, vol. 25, no. 3: Elsevier, pp. 493–509, 2001.
Sabzi, S., H. Javadikia, and J. I. Arribas, "A three-variety automatic and non-intrusive computer vision system for the estimation of orange fruit pH value", Measurement, vol. 152, pp. 107298, 2020.
San Jose-Estepar, R., M. Martin-Fernandez, P. P Caballero-Martínez, C. Alberola-Lopez, and J. Ruiz-Alzola, "A theoretical framework to three-dimensional ultrasound reconstruction from irregularly sampled data", Ultrasound in medicine & biology, vol. 29, no. 2: Elsevier, pp. 255–269, 2003.
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.
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.
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.
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. M., and J. I. Arribas, "A new approach for the design of digital frequency selective FIR fillters using an FPA-based algorithm", Expert Systems with Applications, vol. 106, 2018.
Casaseca-de-la-Higuera, P., F. Simmross-Wattenberg, M. Martin-Fernandez, and C. Alberola-Lopez, "A multichannel model-based methodology for extubation readiness decision of patients on weaning trials", Biomedical Engineering, IEEE Transactions on, vol. 56, no. 7: IEEE, pp. 1849–1863, 2009.
Arribas, J. I., and J. Cid-Sueiro, "A model selection algorithm for a posteriori probability estimation with neural networks", IEEE Transactions on Neural Networks, vol. 16, pp. 799-809, 2005.
Cordero-Grande, L., G. Vegas-Sánchez-Ferrero, P. Casaseca-de-la-Higuera, S. Aja-Fernández, and C. Alberola-Lopez, "A magnetic resonance software simulator for the evaluation of myocardial deformation estimation", Medical engineering & physics, vol. 35, no. 9: Elsevier, pp. 1331–1340, 2013.
Cordero-Grande, L., G. Vegas-Sánchez-Ferrero, P. Casaseca-de-la-Higuera, S. Aja-Fernández, and C. Alberola-Lopez, "A magnetic resonance software simulator for the evaluation of myocardial deformation estimation", Medical engineering & physics, vol. 35, no. 9: Elsevier, pp. 1331–1340, 2013.
Martin-Fernandez, M., and C. Alberola-Lopez, "On low order moments of the homodyned-k distribution", Ultrasonics, vol. 43, no. 4: Elsevier, pp. 283–290, 2005.
Aja-Fernández, S., A. H. Curiale, and G. Vegas-Sánchez-Ferrero, "A local fuzzy thresholding methodology for multiregion image segmentation", Knowledge-Based Systems, vol. 83, pp. 1-12, 07/2015.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", bioRxiv, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", bioRxiv, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", bioRxiv, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", bioRxiv, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", bioRxiv, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
Aja-Fernández, S., C. Alberola-Lopez, and J. Ruiz-Alzola, "A fuzzy-controlled Kalman filter applied to stereo-visual tracking schemes", Signal Processing, vol. 83, no. 1: Elsevier, pp. 101–120, 2003.

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