Export 139 results:
Author Title [ Type(Asc)] Year
Filters: Author is Santiago Aja-Fernández  [Clear All Filters]
Journal Article
Casaseca-de-la-Higuera, P., A. Tristán-Vega, S. Aja-Fernández, C. Alberola-Lopez, C-F. Westin, and R. San Jose-Estepar, "Optimal real-time estimation in diffusion tensor imaging", Magnetic resonance imaging, vol. 30, no. 4: Elsevier, pp. 506–517, 2012.
Pieciak, T., S. Aja-Fernández, and G. Vegas Sánchez-Ferrero, "Non-Stationary Rician Noise Estimation in Parallel MRI using a Single Image: a Variance-Stabilizing Approach", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, issue 10, pp. 2015-2029, 2017.
Krissian, K., and S. Aja-Fernández, "Noise-driven anisotropic diffusion filtering of MRI", Image Processing, IEEE Transactions on, vol. 18, no. 10: IEEE, pp. 2265–2274, 2009.
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., 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.
Brion, V., C. Poupon, O. Riff, S. Aja-Fernández, A. Tristán-Vega, J-F. Mangin, D. Le Bihan, and F. Poupon, "Noise correction for HARDI and HYDI data obtained with multi-channel coils and Sum of Squares reconstruction: An anisotropic extension of the LMMSE", Magnetic resonance imaging, vol. 31, no. 8: Elsevier, pp. 1360–1371, 2013.
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.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, J. G. Bosch, and S. Aja-Fernández, "A Maximum Likelihood Approach to Diffeomorphic Speckle Tracking for 3D Strain Estimation in Echocardiography", Medical Image Analysis, pp. -, 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.
Tristán-Vega, A., S. Aja-Fernández, and C-F. Westin, "Least squares for diffusion tensor estimation revisited: Propagation of uncertainty with Rician and non-Rician signals", NeuroImage, vol. 59, no. 4: Academic Press, pp. 4032–4043, 2012.
Sanz-Estébanez, S., I. Rabanillo-Viloria, J. Royuela-del-Val, S. Aja-Fernández, and C. Alberola-Lopez, "Joint Groupwise Registration and ADC Estimation in the Liver using a B-Value Weighted Metric", Magnetic Resonance Imaging, vol. 46, pp. 1-8, 2018.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Influence of ultrasound speckle tracking strategies for motion and strain estimation", Medical Image Analysis, vol. 32, pp. 184 - 200, 2016.
Aja-Fernández, S., and A. Tristán-Vega, "Influence of noise correlation in multiple-coil statistical models with sum of squares reconstruction", Magnetic Resonance in Medicine, vol. 67, no. 2: Wiley Subscription Services, Inc., A Wiley Company, pp. 580–585, 2012.
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.
Barrio-Arranz, G., R. de Luis-García, A. Tristán-Vega, M. Martin-Fernandez, and S. Aja-Fernández, "Impact of MR Acquisition Parameters on DTI Scalar Indexes: A Tractography Based Approach", PLoS ONE, vol. 10, pp. e0137905, 2015.
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.
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.
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.
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.
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.
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.
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, "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, "Fast inference in SAM fuzzy systems using transition matrices", Fuzzy Systems, IEEE Transactions on, vol. 12, no. 2: IEEE, pp. 170–182, 2004.