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Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, R. de Luís-Garcia, and A. Tristán-Vega, "Noise estimation in magnetic resonance SENSE reconstructed data", Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE: IEEE, pp. 1104–1107, 2013.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, and A. Tristán-Vega, "Noise estimation in MR GRAPPA reconstructed data", Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on: IEEE, pp. 1815–1818, 2011.
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 López, "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.
Aja-Fernández, S., G. Ramos-Llordén, and G. Vegas-Sánchez-Ferrero, "Nonlinear despeckle filtering", Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video: IET, 2018.
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.
García-Pérez, V., A. Tristán-Vega, and S. Aja-Fernández, "NURBS for the geometrical modeling of a new family of Compact-Supported Radial Basis Functions for elastic registration of medical images", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 5947–5950, 2010.
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Peña-Nogales, Ó., R. de Luís-Garcia, S. Aja-Fernández, Y. Zhang, J. H. Holmes, and D. Hernando, "Optimal design of motion-compensated diffusion gradient waveforms ", International Society of Magnetic Resonance in Medicine 25th Annual Meeting and Exhibition, Honolulu, HI, USA, pp. 3340, 2017.
Peña-Nogales, O., Y. Zhang, R. de Luís-Garcia, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimal Diffusion-weighting Gradient Waveform Design (ODGD): Formulation and Experimental Validation", International Society of Magnetic Resonance in Medicine 26th Annual Meeting and Exhibition, Paris, France, pp. 685, 2018.
Casaseca-de-la-Higuera, P.., A. Tristán-Vega, S. Aja-Fernández, C. Alberola López, 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 Luís-Garcia, 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 Luís-Garcia, 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.
Niethammer, M., S. Bouix, S. Aja-Fernández, C-F. Westin, and M. E. Shenton, "Outlier rejection for diffusion weighted imaging", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: Springer Berlin Heidelberg, pp. 161–168, 2007.
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Muñoz-Moreno, E., S. Aja-Fernández, and M. Martin-Fernandez, "Quality Assessment of Tensor Images", Tensors in Image Processing and Computer Vision: Springer London, pp. 79–103, 2009.
Aja-Fernández, S., R. de Luís-Garcia, C. Alberola López, and D. Hernando, "Quantitative Diffusion MRI in the Presence of Noise: Effects of Filtering and Fitting Technique", Quantitative Medical Imaging: Optical Society of America, pp. QTu2G–2, 2013.
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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 Luís-Garcia, 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.
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 Luís-Garcia, "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.
Aja-Fernández, S., L. Cordero-Grande, G. Vegas-Sánchez-Ferrero, R. de Luís-Garcia, and C. Alberola López, "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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