Publications

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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., G. Ramos-Llorden, R. de Luis-García, A. Tristán-Vega, and S. Aja-Fernández, "Anisotropic diffusion filtering for correlated multiple-coil MRI", Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE: IEEE, pp. 2956–2959, 2013.
Vegas-Sánchez-Ferrero, G., D. Martín-Martínez, P. Casaseca-de-la-Higuera, L. Cordero-Grande, S. Aja-Fernández, M. Martin-Fernandez, and C. Palencia, "Realistic log-compressed law for ultrasound image recovery", Image Processing (ICIP), 2011 18th IEEE International Conference on: IEEE, pp. 2029–2032, 2011.
Vegas-Sánchez-Ferrero, G., F. Simmross-Wattenberg, M. Martin-Fernandez, C. Palencia, and C. Alberola-Lopez, "Caracterización de speckle con modelos de cola pesada", Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), San Sebastián, España, Sociedad Española de Ingeniería Biomédica, 2012.
Vegas-Sánchez-Ferrero, G., A. Tristán-Vega, L. Cordero-Grande, P. Casaseca-de-la-Higuera, S. Aja-Fernández, M. Martin-Fernandez, and C. Alberola-Lopez, "Strain Rate Tensor estimation in cine cardiac MRI based on elastic image registration", Computer Vision and Pattern Recognition Workshops, 2008. CVPRW'08. IEEE Computer Society Conference on: IEEE, pp. 1–6, 2008.
Vegas-Sánchez-Ferrero, G., M. Martin-Fernandez, and M. J Sanches, "A Gamma Mixture Model for IVUS Imaging", Multi-Modality Atherosclerosis Imaging and Diagnosis: Springer New York, pp. 155–171, 2014.
Vegas-Sánchez-Ferrero, G., S. Aja-Fernández, M. Martin-Fernandez, and C. Palencia, "A direct calculation of moments of the sample variance", Mathematics and Computers in Simulation, vol. 82, no. 5: North-Holland, pp. 790–804, 2012.
Vegas-Sánchez-Ferrero, G., S. Aja-Fernández, M. Martin-Fernandez, A. F. Frangi, and C. Palencia, "Probabilistic-driven oriented speckle reducing anisotropic diffusion with application to cardiac ultrasonic images", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: Springer Berlin Heidelberg, pp. 518–525, 2010.
Vegas-Sánchez-Ferrero, G., D. Martín-Martínez, S. Aja-Fernández, and C. Palencia, "On the influence of interpolation on probabilistic models for ultrasonic images", Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on: IEEE, pp. 292–295, 2010.
D
de Luis-García, R., S. Aja-Fernández, R. Cárdenes-Almeida, M. Martin-Fernandez, and C. Alberola-Lopez, "Analysis of Ultrasound Images Based on Local Statistics. Application to the Diagnosis of Developmental Dysplasia of the Hip", Ultrasonics Symposium, 2007. IEEE: IEEE, pp. 2531–2534, 2007.
de Luis-García, R., R. San Jose-Estepar, and C. Alberola-Lopez, "Pull-Push Level Sets: A new term to encode prior knowledge for the segmentation of teeth images", Medical Imaging: International Society for Optics and Photonics, pp. 598–605, 2005.
de Luis-García, R., and C. Alberola-Lopez, "General Medical Image Computing–I-Mixtures of Gaussians on Tensor Fields for DT-MRI Segmentation", Lecture Notes in Computer Science, vol. 4791: Berlin: Springer-Verlag, 1973-, pp. 319–326, 2007.
de Luis-García, R., and C. Alberola-Lopez, "Tractography clustering for fiber selection in ROI-based diffusion tensor studies", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 5665–5668, 2010.
de Luis-García, R., C-F. Westin, and C. Alberola-Lopez, "Geometrical constraints for robust tractography selection", NeuroImage, vol. 81: Academic Press, pp. 26–48, 2013.
de Luis-García, R., C. Alberola-Lopez, O. Aghzout, and J. Ruiz-Alzola, "Biometric identification systems", Signal Processing, vol. 83, no. 12: Elsevier, pp. 2539–2557, 2003.
de Luis-García, R., R. Deriche, and C. Alberola-Lopez, "Texture and color segmentation based on the combined use of the structure tensor and the image components", Signal Processing, vol. 88, no. 4: Elsevier, pp. 776–795, 2008.

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