Publications

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Journal Article
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.
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.
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.
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 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., 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.
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., 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.
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.
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, "Structural connectivity alterations in chronic and episodic migraine: A diffusion magnetic resonance imaging connectomics study", Cephalalgia, vol. 40, issue 4, pp. 367-383, 2020.
Aja-Fernández, S., A. Tristán-Vega, and W. Scott Hoge, "Statistical noise analysis in GRAPPA using a parametrized noncentral Chi approximation model", Magnetic resonance in medicine, vol. 65, no. 4: Wiley Subscription Services, Inc., A Wiley Company, pp. 1195–1206, 2011.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, and A. Tristán-Vega, "Statistical Noise Analysis in SENSE Parallel MRI", arXiv preprint arXiv:1402.4067, 2014.
Canales-Rodríguez, E. J., A. Daducci, S. N. Sotiropoulos, E. Caruyer, S. Aja-Fernández, J. Radua, Y. Yurramendi Mendizabal, Y. Iturria-Medina, L. Melie-García, and Y. Alemán-Gómez, "Spherical deconvolution of multichannel diffusion MRI data with non-Gaussian noise models and total variation spatial regularization", arXiv preprint arXiv:1410.6353, 2014.
Canales-Rodríguez, E. J., A. Daducci, S. N. Sotiropoulos, E. Caruyer, S. Aja-Fernández, J. Radua, J. M. Yurrame Mendizabal, Y. Iturria-Medina, L. Melie-García, Y. Alemán-Gómez, et al., "Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization", PLoS ONE, vol. 10, pp. e0138910, 2015.
González-Jaime, L., G. Vegas-Sánchez-Ferrero, E. E. Kerre, and S. Aja-Fernández, "Spatially-variant noise filtering in Magnetic Resonance Imaging: A Consensus-based approach", Knowledge-Based Systems, 2016.
Aja-Fernández, S., T. Pieciak, and G. Vegas-Sánchez-Ferrero, "Spatially variant noise estimation in MRI: A homomorphic approach", Medical Image Analysis, vol. 20, pp. 184 - 197, 2015.
Aja-Fernández, S., T. Pieciak, A. Tristán-Vega, G. Vegas-Sánchez-Ferrero, V. Molina, and R. de Luis-García, "Scalar diffusion-MRI measures invariant to acquisition parameters: A first step towards imaging biomarkers", Magnetic Resonance Imaging, vol. 54, pp. 194 - 213, 2018.
Sanz-Estébanez, S., T. Pieciak, C. Alberola-Lopez, and S. Aja-Fernández, "Robust Estimation of the Apparent Diffusion Coefficient Invariant to Acquisition Noise and Physiological Motion", Magnetic Resonance Imaging, vol. 53, pp. 123-133, 2018.
Aja-Fernández, S., M. Niethammer, M. Kubicki, M. E. Shenton, and C-F. Westin, "Restoration of DWI data using a Rician LMMSE estimator", Medical Imaging, IEEE Transactions on, vol. 27, no. 10: IEEE, pp. 1389–1403, 2008.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Probabilistic Tissue Characterization for Ultrasound Images", Insight Journal, 2015.
Peña-Nogales, Ó., Y. Zhang, X. Wang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling", Magnetic resonance in medicine, 2018.
Peña-Nogales, Ó., Y. Zhang, X. Wang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling", Magnetic resonance in medicine, vol. 81, pp. 989–1003, 2019.
Casaseca-de-la-Higuera, P., A. Tristán-Vega, S. Aja-Fernández, C. Alberola-Lopez, C-F. Westin, and R. San Jose-Estepar, "Optimal real-time estimation in diffusion tensor imaging", Magnetic resonance imaging, vol. 30, no. 4: Elsevier, pp. 506–517, 2012.
Pieciak, T., S. Aja-Fernández, and G. Vegas Sánchez-Ferrero, "Non-Stationary Rician Noise Estimation in Parallel MRI using a Single Image: a Variance-Stabilizing Approach", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, issue 10, pp. 2015-2029, 2017.

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