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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.
Aja-Fernández, S., and C. Alberola-Lopez, "Inference with fuzzy granules for computing with words: a practical viewpoint", Fuzzy Systems, 2003. FUZZ'03. The 12th IEEE International Conference on, vol. 1: IEEE, pp. 566–571, 2003.
Aja-Fernández, S., and C. Alberola-Lopez, "Fast inference using transition matrices: An extension to nonlinear operators", Fuzzy Systems, IEEE Transactions on, vol. 13, no. 4: IEEE, pp. 478–490, 2005.
Aja-Fernández, S., and C. Alberola-Lopez, "Fuzzy feedback system analysis using transition matrices", Fuzzy sets and systems, vol. 157, no. 4: Elsevier, pp. 516–543, 2006.
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.
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., R. San Jose-Estepar, C. Alberola-Lopez, and C-F. Westin, "Image quality assessment based on local variance", Proc 28th IEEE Int. Conf. Eng. Med. Biol. Soc.(EMBC), pp. 4815–4818, 2006.
Aja-Fernández, S., G. París, C. Martín-Martín, D. K. Jones, and AT. -Vega, "Anisotropy measure from three diffusion-encoding gradient directions", Magnetic Resonance Imaging, vol. 88, pp. 38–43, 2022.
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, "Blind Estimation of Spatially Variant Noise in GRAPPA MRI", International Symposium on Biomedical Imaging, pp. SuAT7.4, 2015.
Aja-Fernandez, S., C. Martin-Martin, T. Pieciak, Á. Planchuelo-Gómez, A. Faiyaz, N. Uddin, A. Tiwari, S. J. Shigwan, T. Zheng, Z. Cao, et al., "Validation of Deep Learning techniques for quality augmentation in diffusion MRI for clinical studies", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 2786, 2023.
Afzali, M., S. Aja-Fernández, and D. K. Jones, "Direction-averaged diffusion-weighted MRI signal using different axisymmetric B-tensor encoding schemes", Magnetic Resonance in Medicine, vol. n/a, 2020.
Abbaspour-Gilandeh, Y., S. Sabzi, and J. I. Arribas, "An Outdoors Multi-stage Fruit-tree Orchard Video Image Segmentation System under Natural Conditions", Journal of Agricultural Sciences, vol. 25, issue 4, 2019.
Abbaspour-Gilandeh, Y., S. Sabzi, F. Azadshahraki, R. Karimzadeh, E. Ilbeygi, and J. I. Arribas, "Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data", Journal of Agricultural Sciences, vol. 26, pp. 339–348, 2020.