Publications

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Tristán-Vega, A., and S. Aja-Fernández, "Design and construction of a realistic DWI phantom for filtering performance assessment", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: Springer Berlin Heidelberg, pp. 951–958, 2009.
Peña-Nogales, Ó., D. Hernando, S. Aja-Fernández, and R. de Luis-García, "Determination of the optimal set of b-values for ADC mapping under a Rician noise assumption", International Society of Magnetic Resonance in Medicine 25th Annual Meeting and Exhibition, Honolulu, HI, USA, pp. 3341, 2017.
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.
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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., 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.
Tristán-Vega, A., and S. Aja-Fernández, "Efficient and accurate EAP imaging from multi-shell dMRI with Micro-Structure adaptive convolution kernels and dual Fourier Integral Transforms (MiSFIT)", NeuroImage, vol. 227, pp. 117616, 2021.
Tristán-Vega, A., V. García-Pérez, S. Aja-Fernández, and C-F. Westin, "Efficient and robust nonlocal means denoising of MR data based on salient features matching", Computer methods and programs in biomedicine, vol. 105, no. 2: Elsevier, pp. 131–144, 2012.
Tristán-Vega, A., C-F. Westin, and S. Aja-Fernández, "Estimation of fiber orientation probability density functions in high angular resolution diffusion imaging", NeuroImage, vol. 47, no. 2: Elsevier, pp. 638–650, 2009.
Rabanillo-Viloria, I., S. Aja-Fernández, C. Alberola-Lopez, and D. Hernando, "Exact Calculation of Noise Maps and g-Factor in GRAPPA using a k-space Analysis", IEEE Transactions on Medical Imaging, vol. 37, issue 2, pp. 480-490, 2018.
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Ramos-Llorden, G., G. Vegas-Sánchez-Ferrero, S. Aja-Fernández, M. Martin-Fernandez, and C. Alberola-Lopez, "Fast Anisotropic Speckle Filter for Ultrasound Medical Images", XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013: Springer International Publishing, pp. 253–256, 2013.
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., 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.
Planchuelo-Gómez, Á., S. Aja-Fernández, D. García-Azorín, Á. L. Guerrero, and R. de Luis-García, "Fewer number of gradient directions in diffusion MRI can be counterbalanced with higher sample size: a migraine clinical study", ISMRM 28th annual meeting, vol. 4550, 2020.
Curiale, A. H., A. Haak, G. Vegas-Sánchez-Ferrero, B. Ren, S. Aja-Fernández, and J. G. Bosch, "Fully Automatic Detection of Salient Features in 3-D Transesophageal Images", Ultrasound in medicine & biology, vol. 40, issue 12: Elsevier, pp. 2868-2884, 07/2014.
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., 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 feedback system analysis using transition matrices", Fuzzy sets and systems, vol. 157, no. 4: Elsevier, pp. 516–543, 2006.
Tristán-Vega, A., and S. Aja-Fernández, "Fuzzy regularisation of deformation fields in image registration", Proc. IPMU, pp. 1223–30, 2008.
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Vegas-Sánchez-Ferrero, G., J. Seabra, O. Rodriguez-Leor, A. Serrano-Vida, S. Aja-Fernández, C. Palencia, M. Martin-Fernandez, and J. Sanches, "Gamma mixture classifier for plaque detection in intravascular ultrasonic images", Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on, vol. 61, no. 1: IEEE, pp. 44–61, 2014.
Vegas-Sánchez-Ferrero, G., S. Aja-Fernández, C. Palencia, and M. Martin-Fernandez, "A Generalized Gamma Mixture Model for Ultrasonic Tissue Characterization", Computational and mathematical methods in medicine, vol. 2012: Hindawi Publishing Corporation, 2012.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, M. Rodríguez, S. Aja-Fernández, and R. de Luis-García, "Gray Matter Structural Alterations in Chronic and Episodic Migraine: A Morphometric Magnetic Resonance Imaging Study", Pain Medicine, vol. 21, issue 11, pp. 2997-3011, 2020.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, R. Moro, and R. de Luis-García, "Gray matter cortical changes in patients with persistent headache after COVID-19 infection: an exploratory study", International Headache Congress 2021, Virtual Congress, International Headache Society & European Headache Federation, 2021.
Simmross-Wattenberg, F., C. Palacios-Camarero, P. Casaseca-de-la-Higuera, M. Angel Martin-Fernandez, S. Aja-Fernández, J. Ruiz-Alzola, C-F. Westin, and C. Alberola-Lopez, "Group-Slicer: A collaborative extension of 3D-Slicer", Journal of Biomedical Informatics, vol. 38, pp. 431–442, 2005.
Sanz-Estébanez, S., Ó. Peña-Nogales, R. de Luis-García, S. Aja-Fernández, and C. Alberola-Lopez, "Groupwise Non-Rigid Registration on Multiparametric Abdominal DWI Acquisitions for Robust ADC Estimation: Comparison with Pairwise Approaches and Different Multimodal Metrics", International Symposium on Biomedical Imaging: From Nano to Macro (ISBI2017), Melbourne, Australia, 2017.
Cordero-Grande, L., S. Merino-Caviedes, S. Aja-Fernández, and C. Alberola-Lopez, "Groupwise elastic registration by a new sparsity-promoting metric: application to the alignment of cardiac magnetic resonance perfusion images", Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 35, no. 11: IEEE, pp. 2638–2650, 2013.

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