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Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, M. Martin-Fernandez, and C. Alberola-Lopez, "Automatic noise estimation in images using local statistics. Additive and multiplicative cases", Image and Vision Computing, vol. 27, no. 6: Elsevier, pp. 756–770, 2009.
Aja-Fernández, S., V. Brion, and A. Tristán-Vega, "Effective noise estimation and filtering from correlated multiple-coil MR data", Magnetic resonance imaging, vol. 31, no. 2: Elsevier, pp. 272–285, 2013.
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.
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., 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 C. Alberola-Lopez, "Matrix Inference in Fuzzy Decision Trees.", EUSFLAT Conf., pp. 979–984, 2005.
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.
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., 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., G. Vegas-Sánchez-Ferrero, R. de Luis-García, 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., C. Martín-Martín, Á. Planchuelo-Gómez, A. Faiyaz, M. Nasir Uddin, G. Schifitto, A. Tiwari, S. J. Shigwan, R. Kumar Singh, T. Zheng, et al., "Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies", NeuroImage: Clinical, vol. 39, pp. 103483, 2023.
Aja-Fernández, S., M. Martin-Fernandez, and C. Alberola-Lopez, "Tissue identification in ultrasound images using rayleigh local parameter estimation", Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on: IEEE, pp. 1129–1133, 2007.
Aja-Fernández, S., C. Alberola-Lopez, and J. Ruiz-Alzola, "Fuzzy anisotropic diffusion for speckle filtering", Acoustics, Speech, and Signal Processing, 2001. Proceedings.(ICASSP'01). 2001 IEEE International Conference on, vol. 2: IEEE, pp. 1261–1264, 2001.
Aja-Fernández, S., and C. Alberola-Lopez, "Fuzzy Granules as a Basic Word Representation for Computing with Words", 9th Conference Speech and Computer, 2004.
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., A. Tristán-Vega, and W. Scott Hoge, "Statistical noise model in GRAPPA-reconstructed images", Proceedings of the International Society of Magnetic Resonance in Medicine, pp. 3859, 2010.
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., and C. Alberola-Lopez, "Hierarchical fuzzy systems with FITM", Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on, vol. 2: IEEE, pp. 767–772, 2004.
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 G. Vegas-Sánchez-Ferrero, "Blind Estimation of Spatially Variant Noise in GRAPPA MRI", International Symposium on Biomedical Imaging, pp. SuAT7.4, 2015.
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.
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.
Aja-Fernández, S., and G. Vegas-Sánchez-Ferrero, Statistical Analysis of Noise in MRI. Modeling, Filtering and Estimation, Switzerland, Springer International Publishing, pp. 327, 2016.
Aja-Fernández, S., T. Pieciak, C. Martín-Martín, Á. Planchuelo-Gómez, R. de Luis-García, and A. Tristán-Vega, "Moment-based representation of the diffusion inside the brain from reduced DMRI acquisitions: Generalized AMURA", Medical Image Analysis, vol. 77, pp. 102356, 2022.
Aja-Fernández, S., Ó. Peña-Nogales, and R. de Luis-García, "Effect of sampling on the estimation of the apparent coefficient of diffusion in MRI", ICASSP 2017, New Orleans, LA, IEEE signal processing Society, 2017.

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