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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.
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.
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.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, and A. Tristán-Vega, "About the background distribution in MR data: a local variance study", Magnetic resonance imaging, vol. 28, no. 5: Elsevier, pp. 739–752, 2010.
Aja-Fernández, S., C. Alberola-Lopez, and J. Ruiz-Alzola, "A fuzzy-controlled Kalman filter applied to stereo-visual tracking schemes", Signal Processing, vol. 83, no. 1: Elsevier, pp. 101–120, 2003.
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., 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., 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.
Aja-Fernández, S., L. Cordero-Grande, and C. Alberola-Lopez, "A MRI phantom for cardiac perfusion simulation", Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on: IEEE, pp. 638–641, 2012.
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., and C. Alberola-Lopez, "Fuzzy Granules as a Basic Word Representation for Computing with Words", 9th Conference Speech and Computer, 2004.
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., 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., 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., 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., 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., and C. Alberola-Lopez, "Matrix modeling of hierarchical fuzzy systems", Fuzzy Systems, IEEE Transactions on, vol. 16, no. 3: IEEE, pp. 585–599, 2008.
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., 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., 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., 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., 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-Fernández, S., and C. Alberola-Lopez, "Fast inference in SAM fuzzy systems using transition matrices", Fuzzy Systems, IEEE Transactions on, vol. 12, no. 2: IEEE, pp. 170–182, 2004.

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