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Martin-Fernandez, M., E. Muñoz-Moreno, L. Cammoun, J-P. Thiran, C-F. Westin, and C. Alberola-Lopez, "Addendum to “Sequential anisotropic multichannel Wiener filtering with Rician bias correction applied to 3D regularization of DWI data”[Medical Image Analysis 13 (2009) 19–35]", Medical image analysis, vol. 13, no. 6: Elsevier, pp. 910, 2009.
Martin-Fernandez, M., C-F. Westin, and C. Alberola-Lopez, "3D Bayesian regularization of diffusion tensor MRI using multivariate Gaussian Markov random fields", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2004: Springer Berlin Heidelberg, pp. 351–359, 2004.
Martin-Fernandez, M., C. Alberola-Lopez, J. Ruiz-Alzola, and C-F. Westin, "Sequential anisotropic Wiener filtering applied to 3D MRI data", Magnetic resonance imaging, vol. 25, no. 2: Elsevier, pp. 278–292, 2007.
Martin-Fernandez, M., R. San Jose-Estepar, C-F. Westin, and C. Alberola-Lopez, "A novel Gauss-Markov random field approach for regularization of diffusion tensor maps", Computer Aided Systems Theory-EUROCAST 2003: Springer Berlin Heidelberg, pp. 506–517, 2003.
Martin-Fernandez, M., S. Bouix, L. Ungar, R. W. McCarley, and M. E. Shenton, "Two methods for validating brain tissue classifiers", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005: Springer Berlin Heidelberg, pp. 515–522, 2005.
Martin-Fernandez, M., R. Cárdenes-Almeida, and C. Alberola-Lopez, "Parameter Estimation of the Homodyned K Distribution Based on Signal to Noise Ratio", Ultrasonics Symposium, 2007. IEEE: IEEE, pp. 158–161, 2007.
Martin-Fernandez, M., E. Muñoz-Moreno, and C. Alberola-Lopez, "A Speckle Removal Filter Based on Anisotropic Wiener Filtering and the Rice Distribution", Ultrasonics Symposium, 2006. IEEE: IEEE, pp. 1694–1697, 2006.
Martin-Fernandez, M., C. Alberola-Lopez, J. Ruiz-Alzola, and C-F. Westin, "Regularization of Diffusion Tensor Maps Using a Non-Gaussian Markov Random Field Approach", Lecture Notes in Computer Science, vol. 2879: Berlin: Springer-Verlag, pp. 92–100, 2003.
Martin-Fernandez, M., L. Cordero-Grande, E. Muñoz-Moreno, and C. Alberola-Lopez, "Techniques in the contour detection of kidneys and their applications", World Scientific Publishing Company, pp. 381–398, 2007.
Martin-Fernandez, M., M. Angel Martin-Fernandez, C. Alberola-Lopez, and J. Ruiz-Alzola, "A topology-based filling algorithm", Computers & Graphics, vol. 25, no. 3: Elsevier, pp. 493–509, 2001.
Martin-Fernandez, M., C. Alberola-Lopez, D. Guerrero-Rodriguez, and J. Ruiz-Alzola, "Coding technique with progressive reconstruction based on VQ and entropy coding applied to medical images", International Symposium on Optical Science and Technology: International Society for Optics and Photonics, pp. 171–181, 2000.
Martin-Fernandez, M., and C. Alberola-Lopez, "On low order moments of the homodyned-k distribution", Ultrasonics, vol. 43, no. 4: Elsevier, pp. 283–290, 2005.
Martin-Fernandez, M., and C. Alberola-Lopez, "An approach for contour detection of human kidneys from ultrasound images using Markov random fields and active contours", Medical Image Analysis, vol. 9, no. 1: Elsevier, pp. 1–23, 2005.
Martin-Fernandez, M., E. Rodriguez, D. Tejada, C. Alberola-Lopez, and J. Ruiz-Alzola, "Energy functions for the segmentation of ultrasound volume data using active rays", Acoustics, Speech, and Signal Processing, 2000. ICASSP'00. Proceedings. 2000 IEEE International Conference on, vol. 6: IEEE, pp. 2274–2277, 2000.
Martin-Fernandez, M., R. San Jose-Estepar, and C. Alberola-Lopez, "Maximum likelihood contour estimation using beta-statistics in ultrasound images", Image and Signal Processing and Analysis, 2001. ISPA 2001. Proceedings of the 2nd International Symposium on: IEEE, pp. 207–212, 2001.
Martin-Fernandez, M., E. Muñoz-Moreno, L. Cammoun, J-P. Thiran, C-F. Westin, and C. Alberola-Lopez, "Sequential anisotropic multichannel Wiener filtering with Rician bias correction applied to 3D regularization of DWI data", Medical image analysis, vol. 13, no. 1: Elsevier, pp. 19–35, 2009.
Martin-Fernandez, M., and C. Alberola-Lopez, "A Bayesian Approach to in vivo Kidney Ultrasound Contour Detection Using Markov Random Fields", Medical Image Computing and Computer-Assisted Intervention—MICCAI 2002: Springer, pp. 397–404, 2002.