Publications

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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., 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. 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., 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., 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., 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., 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.
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., 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 modeling of hierarchical fuzzy systems", Fuzzy Systems, IEEE Transactions on, vol. 16, no. 3: IEEE, pp. 585–599, 2008.
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, 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.
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.

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