Publications

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Journal Article
De la Cruz, C., Á. L. Guerrero, ML. Penas, D. Argibay-Quiñones, J. M. Sierra, S. Aja-Fernández, and R. de Luis-García, "White matter abnormalities in chronic migraine patients are located in anterior corpus callosum: study using a new automatic tractography selection method", EUROPEAN JOURNAL OF NEUROLOGY, vol. 21: WILEY-BLACKWELL 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, pp. 51–51, 2014.
De la Cruz, C., Á. L. Guerrero, ML. Penas, D. Argibay-Quiñones, J. M. Sierra, S. Aja-Fernández, and R. de Luis-García, "White matter abnormalities in chronic migraine patients are located in anterior corpus callosum: study using a new automatic tractography selection method", EUROPEAN JOURNAL OF NEUROLOGY, vol. 21: WILEY-BLACKWELL 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, pp. 51–51, 2014.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "White matter changes in chronic and episodic migraine: a diffusion tensor imaging study", The Journal of Headache and Pain, vol. 21, issue 1, pp. 1, 2020.
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.
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.
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.
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.
Sabzi, S., Y. Abbaspour-Gilandeh, and J. I. Arribas, A blood orange computer vision sorting system, 2017.
Sabzi, S., Y. Abbaspour-Gilandeh, and J. I. Arribas, A blood orange computer vision sorting system, 2017.
Aja-Fernández, S., R. de Luis-García, 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.
Aja-Fernández, S., R. de Luis-García, 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.
Moya-Sáez, E., Ó. Peña-Nogales, R. de Luis-García, and C. Alberola-López, "A deep learning approach for synthetic MRI based on two routine sequences and training with synthetic data", Computer Methods and Programs in Biomedicine, vol. 210, pp. 106371, 2021.
Vegas-Sánchez-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.
Aja-Fernández, S., and C. Alberola-Lopez, "On the estimation of the coefficient of variation for anisotropic diffusion speckle filtering", Image Processing, IEEE Transactions on, vol. 15, no. 9: IEEE, pp. 2694–2701, 2006.
Aja-Fernández, S., and C. Alberola-Lopez, "On the estimation of the coefficient of variation for anisotropic diffusion speckle filtering", Image Processing, IEEE Transactions on, vol. 15, no. 9: IEEE, pp. 2694–2701, 2006.
Tristán-Vega, A., and J. I. Arribas, "A fast B-spline pseudo-inversion algorithm for consistent image registration", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4673 LNCS, pp. 768-775, 2007.
Aja-Fernández, S., C. Alberola-Lopez, and G. V. Cybenko, "A fuzzy MHT algorithm applied to text-based information tracking", Fuzzy Systems, IEEE Transactions on, vol. 10, no. 3: IEEE, pp. 360–374, 2002.
Aja-Fernández, S., C. Alberola-Lopez, and G. V. Cybenko, "A fuzzy MHT algorithm applied to text-based information tracking", Fuzzy Systems, IEEE Transactions on, vol. 10, no. 3: IEEE, pp. 360–374, 2002.
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.
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.
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.

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