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Vegas-Sánchez-Ferrero, G., D. Martín-Martínez, P. Casaseca-de-la-Higuera, L. Cordero-Grande, S. Aja-Fernández, M. Martin-Fernandez, and C. Palencia, "Realistic log-compressed law for ultrasound image recovery", Image Processing (ICIP), 2011 18th IEEE International Conference on: IEEE, pp. 2029–2032, 2011.
Peña-Nogales, Ó., Y. Zhang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Reduced Eddy Current induced image distortions and Peripheral Nerve Stimulation based on the Optimal Diffusion-weighting Gradient Waveform Design (ODGD) formulation", ISMRM 27th annual meeting, vol. 3488, 2019.
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.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, R. Moro, and R. de Luis-García, "Resting-state functional alterations in patients with persistent headache after COVID-19 infection: an exploratory study", International Headache Congress 2021, Virtual Congress, International Headache Society & European Headache Federation, 2021.
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.
Aja-Fernández, S., A. Tristán-Vega, M. Molendowska, T. Pieciak, and R. Luis-García, "Return-to-Axis Probability Calculation from Single-Shell Acquisitions", Computational Diffusion MRI: Springer, pp. 29-41, 2019.
Aja-Fernández, S., A. Tristán-Vega, M. Molendowska, T. Pieciak, and R. de Luis-García, "Return-to-the-origin probability calculation in single shell acquisitions", International Society of Magnetic Resonance in Medicine 26th Annual Meeting and Exhibition, Paris, France, pp. 1414, 2018.
Sanz-Estébanez, S., T. Pieciak, C. Alberola-López, 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., L. Cordero-Grande, G. Vegas-Sánchez-Ferrero, R. de Luis-García, and C. Alberola-Lopez, "Robust estimation of MRI myocardial perfusion parameters", Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE: IEEE, pp. 4382–4385, 2013.
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Barrio-Arranz, G., S. Aja-Fernández, C. Alberola-Lopez, and M. Martin-Fernandez, "SATURN2: An Improved Software Tool for Neuroimaging Analysis", CASEIB2011, Cáceres, Espana, 2011.
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.
Aja-Fernández, S., C. Alberola-Lopez, and C-F. Westin, "Signal LMMSE estimation from multiple samples in MRI and DT-MRI", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: Springer Berlin Heidelberg, pp. 368–375, 2007.
Algarin, J. M., E. Diaz-Caballero, J. Borreguero, F. Galve, D. Grau-Ruiz, J. P. Rigla, R. Bosch, J. M. Gonzalez, E. Pallas, M. Corberan, et al., "Simultaneous imaging of hard and soft biological tissues in a low-field dental MRI scanner", Scientific Reports, vol. 10, pp. 1–14, 2021, 2020.
Algarín, J. M., E. Díaz-Caballero, J. Borreguero, F. Galve, D. Grau-Ruiz, J. P. Rigla, R. Bosch, J. M. González, E. Pallás, M. Corberán, et al., "Simultaneous imaging of hard and soft biological tissues in a low-field dental MRI scanner", Scientific Reports volume , vol. 10, 2020.
Algarín, J. M., E. Díaz-Caballero, J. Borreguero, F. Galve, D. Grau-Ruiz, J. P. Rigla, R. Bosch, J. M. González, E. Pallás, M. Corberán, et al., "Simultaneous imaging of hard and soft biological tissues in a low-field dental MRI scanner", Scientific Reports volume , vol. 10, 2020.
Pieciak, T., F. Bogusz, A. Tristán-Vega, R. de Luis-García, and S. Aja-Fernández, "Single-Shell Return-to-the-Origin Probability Diffusion Mri Measure Under a Non-Stationary Rician Distributed Noise", 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019): IEEE, 2019.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, and M. Fernandez, "Soft thresholding for medical image segmentation", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 4752–4755, 2010.
Sanz-Estébanez, S., L. Cordero-Grande, S. Aja-Fernández, M. Martin-Fernandez, and C. Alberola-Lopez, "Spatial and Spectral Anisotropy in HARP Images: An Automated Approach", International Symposium on Biomedical Imaging: From Nano to Macro (ISBI2016), Prague, Czech Republic, 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.
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.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Speckle tracking in interpolated echocardiography to estimate heart motion", Functional Imaging and Modeling of the Heart: Springer Berlin Heidelberg, pp. 325–333, 2013.

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