Publications

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Journal Article
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, M. Rodríguez, S. Aja-Fernández, and R. de Luis-García, "Gray Matter Structural Alterations in Chronic and Episodic Migraine: A Morphometric Magnetic Resonance Imaging Study", Pain Medicine, vol. 21, issue 11, pp. 2997-3011, 2020.
Simmross-Wattenberg, F., C. Palacios-Camarero, P. Casaseca-de-la-Higuera, M. Angel Martin-Fernandez, S. Aja-Fernández, J. Ruiz-Alzola, C-F. Westin, and C. Alberola-Lopez, "Group-Slicer: A collaborative extension of 3D-Slicer", Journal of Biomedical Informatics, vol. 38, pp. 431–442, 2005.
Cordero-Grande, L., S. Merino-Caviedes, S. Aja-Fernández, and C. Alberola-Lopez, "Groupwise elastic registration by a new sparsity-promoting metric: application to the alignment of cardiac magnetic resonance perfusion images", Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 35, no. 11: IEEE, pp. 2638–2650, 2013.
Barrio-Arranz, G., R. de Luis-García, A. Tristán-Vega, M. Martín-Fernández, and S. Aja-Fernández, "Impact of MR Acquisition Parameters on DTI Scalar Indexes: A Tractography Based Approach", PLoS ONE, vol. 10, pp. e0137905, 2015.
Aja-Fernández, S., D. García-Martín, A. Tristán-Vega, and G. Vegas-Sánchez-Ferrero, "Improving GRAPPA reconstruction by frequency discrimination in the ACS lines", International Journal of Computer Assisted Radiology and Surgery, vol. 10, issue 10, pp. 1699-1710, 2015.
Aja-Fernández, S., and A. Tristán-Vega, "Influence of noise correlation in multiple-coil statistical models with sum of squares reconstruction", Magnetic Resonance in Medicine, vol. 67, no. 2: Wiley Subscription Services, Inc., A Wiley Company, pp. 580–585, 2012.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Influence of ultrasound speckle tracking strategies for motion and strain estimation", Medical Image Analysis, vol. 32, pp. 184 - 200, 2016.
Sanz-Estébanez, S., I. Rabanillo-Viloria, J. Royuela-del-Val, S. Aja-Fernández, and C. Alberola-Lopez, "Joint Groupwise Registration and ADC Estimation in the Liver using a B-Value Weighted Metric", Magnetic Resonance Imaging, vol. 46, pp. 1-8, 2018.
Tristán-Vega, A., S. Aja-Fernández, and C-F. Westin, "Least squares for diffusion tensor estimation revisited: Propagation of uncertainty with Rician and non-Rician signals", NeuroImage, vol. 59, no. 4: Academic Press, pp. 4032–4043, 2012.
Aja-Fernández, S., and C. Alberola-Lopez, "Matrix modeling of hierarchical fuzzy systems", Fuzzy Systems, IEEE Transactions on, vol. 16, no. 3: IEEE, pp. 585–599, 2008.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, J. G. Bosch, and S. Aja-Fernández, "A Maximum Likelihood Approach to Diffeomorphic Speckle Tracking for 3D Strain Estimation in Echocardiography", Medical Image Analysis, pp. -, 2015.
Aja-Fernández, S., R. de Luis-García, M. Afzali, M. Molendowska, T. Pieciak, and A. Tristán-Vega, "Micro-structure diffusion scalar measures from reduced MRI acquisitions", PLOS ONE, vol. 15, pp. 1-25, 2020.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "Multimodal fusion analysis of structural connectivity and gray matter morphology in migraine", Human Brain Mapping, vol. 42, issue 4, pp. 908-921, 2021.
Aja-Fernández, S., C. Alberola-Lopez, and C-F. Westin, "Noise and signal estimation in magnitude MRI and Rician distributed images: a LMMSE approach", Image Processing, IEEE Transactions on, vol. 17, no. 8: IEEE, pp. 1383–1398, 2008.
Brion, V., C. Poupon, O. Riff, S. Aja-Fernández, A. Tristán-Vega, J-F. Mangin, D. Le Bihan, and F. Poupon, "Noise correction for HARDI and HYDI data obtained with multi-channel coils and Sum of Squares reconstruction: An anisotropic extension of the LMMSE", Magnetic resonance imaging, vol. 31, no. 8: Elsevier, pp. 1360–1371, 2013.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, and A. Tristán-Vega, "Noise estimation in parallel MRI: GRAPPA and SENSE", Magnetic resonance imaging, vol. 32, no. 3: Elsevier, pp. 281–290, 2014.
Aja-Fernández, S., A. Tristán-Vega, and C. Alberola-Lopez, "Noise estimation in single-and multiple-coil magnetic resonance data based on statistical models", Magnetic resonance imaging, vol. 27, no. 10: Elsevier, pp. 1397–1409, 2009.
Krissian, K., and S. Aja-Fernández, "Noise-driven anisotropic diffusion filtering of MRI", Image Processing, IEEE Transactions on, vol. 18, no. 10: IEEE, pp. 2265–2274, 2009.
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.
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.
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.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Probabilistic Tissue Characterization for Ultrasound Images", Insight Journal, 2015.
Pieciak, T., M. Afzali, F. Bogusz, S. Aja-Fernández, and D. K. Jones, "Q-space quantitative diffusion MRI measures using a stretched-exponential representation", arXiv, 2020.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, S. Antón-Juarros, and R. de Luis-García, "Response prediction for chronic migraine preventive treatment by gray matter morphometry in magnetic resonance imaging: a pilot study", Revista de Neurologia, vol. 71, issue 11, pp. 399-406, 2020.

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