Publications

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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.
Merino-Caviedes, S., L. Cordero-Grande, T. M Pérez, and M. Martin-Fernandez, "Transmurality Maps in Late Enhancement Cardiac Magnetic Resonance Imaging by a New Radial Fast Marching Method", XXIX Congreso Anual de la Sociedad Española de Ingeniería Biomédica, Cáceres, Spain, pp. 211–214, 2011.
Aja-Fernández, S., M. Martin-Fernandez, and C. Alberola-Lopez, "Tissue identification in ultrasound images using rayleigh local parameter estimation", Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on: IEEE, pp. 1129–1133, 2007.
Westin, C-F., M. Martin-Fernandez, C. Alberola-Lopez, J. Ruiz-Alzola, and H. Knutsson, "Tensor field regularization using normalized convolution and markov random fields in a bayesian framework", Visualization and Processing of Tensor Fields: Springer Berlin Heidelberg, pp. 381–398, 2006.
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.
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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.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, M. Martin-Fernandez, and C. Alberola-Lopez, "Stochastic Modeling of the PPG Signal: A Synthesis-by-Analysis Approach With Applications", Biomedical Engineering, IEEE Transactions on, vol. 60, no. 9: IEEE, pp. 2432–2441, 2013.
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.
Sanz-Estébanez, S., L. Cordero-Grande, S. Aja-Fernández, M. Martin-Fernandez, and C. Alberola-Lopez, "Spatial and Spectral Anisotropy in HARP Images: An Automated Approach", International Symposium on Biomedical Imaging: From Nano to Macro (ISBI2016), Prague, Czech Republic, 2016.
Brun, A., M. Martin-Fernandez, B. Acar, E. Muñoz-Moreno, L. Cammoun, A. Sigfridsson, D. Sosa-Cabrera, B. Svensson, M. Herberthson, and H. Knutsson, "Similar Tensor Arrays–A Framework for Storage of Tensor Array Data", Tensors in Image Processing and Computer Vision: Springer London, pp. 407–428, 2009.
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., 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.
Cárdenes-Almeida, R., E. Muñoz-Moreno, A. Tristán-Vega, and M. Martin-Fernandez, "Saturn: A software application of tensor utilities for research in neuroimaging", Computer methods and programs in biomedicine, vol. 97, no. 3: Elsevier, pp. 264–279, 2010.
Barrio-Arranz, G., S. Aja-Fernández, C. Alberola-Lopez, and M. Martin-Fernandez, "SATURN2: An Improved Software Tool for Neuroimaging Analysis", CASEIB2011, Cáceres, Espana, 2011.
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Cárdenes-Almeida, R., E. Muñoz-Moreno, R. Sarabia-Herrero, D. Argibay-Quiñones, and M. Martin-Fernandez, "Quantitative Analysis of Pyramidal Tracts in Brain Tumor Patients Using Diffusion Tensor Imaging", Tumors of the Central Nervous System, Volume 4: Springer Netherlands, pp. 143–152, 2012.
Muñoz-Moreno, E., S. Aja-Fernández, and M. Martin-Fernandez, "Quality Assessment of Tensor Images", Tensors in Image Processing and Computer Vision: Springer London, pp. 79–103, 2009.

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