Publications

Export 349 results:
Author Title [ Type(Asc)] Year
Book Chapter
Merino-Caviedes, S.., and M. Martin-Fernandez, "User Interfaces to Interact with Tensor Fields", Tensors in Image Processing and Computer Vision: Springer London, pp. 429–454, 2009.
Marcos-Lagunar, C., C. Cavero-Barca, A. María Quintero-Padrón, X. Planes, F. Simmross-Wattenberg, C. Alberola López, M. Martin-Fernandez, N. Martín-Hernández, E. Calderón-Oliveras, J. Corral-Herranz, et al., "Ubiquitous tele-monitoring kit (UTK): measuring physiological signals anywhere at anytime", Ambient Assisted Living and Home Care: Springer, pp. 183–191, 2012.
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.
Cordero-Grande, L., G. Vegas-Sánchez-Ferrero, P.. Casaseca-de-la-Higuera, and C. Alberola López, "Topology-preserving registration: a solution via graph cuts", Combinatorial Image Analysis: Springer, pp. 420–431, 2011.
de Luis-García, R., R. Deriche, M. Rousson, and C. Alberola López, "Tensor processing for texture and colour segmentation", Image Analysis: Springer, pp. 1117–1127, 2005.
Westin, C-F., M. Martin-Fernandez, C. Alberola López, 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.
Curiale, A. Hernán, G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Techniques for tracking: image registration", Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video: IET, 2018.
Sanchez-Ferrero, G. V., and J. I. Arribas, "A statistical-genetic algorithm to select the most significant features in mammograms", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4673 LNCS, pp. 189-196, 2007.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Speckle tracking in interpolated echocardiography to estimate heart motion", Functional Imaging and Modeling of the Heart: Springer Berlin Heidelberg, pp. 325–333, 2013.
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.
Aja-Fernández, S., C. Alberola López, and C-F. Westin, "Signal LMMSE estimation from multiple samples in MRI and DT-MRI", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: Springer Berlin Heidelberg, pp. 368–375, 2007.
de Luis-García, R., C. Alberola López, and C-F. Westin, "Segmentation of tensor fields: Recent advances and perspectives", Tensors in Image Processing and Computer Vision: Springer, pp. 35–58, 2009.
Muñoz-Moreno, E., R. Cárdenes-Almeida, and M. Martin-Fernandez, "Review of techniques for registration of diffusion tensor imaging", Tensors in Image Processing and Computer Vision: Springer London, pp. 273–297, 2009.
Aja-Fernández, S., A. Tristán-Vega, M. Molendowska, T. Pieciak, and R. Luis-García, "Return-to-Axis Probability Calculation from Single-Shell Acquisitions", Computational Diffusion MRI: Springer, pp. 29-41, 2019.
Martin-Fernandez, M., C. Alberola López, 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.
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.
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.
Martín-Martínez, D., A. Domingues, P.. Casaseca-de-la-Higuera, C. Alberola López, and M. J Sanches, "PPG Beat Reconstruction Based on Shape Models and Probabilistic Templates for Signals Acquired with Conventional Smartphones", Lecture Notes in Computer Science, vol. 9117: Springer International Publishing, pp. 595–602, 2015.
González-Jaime, L., M. Nachtegeal, E. Kerre, G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Parametric Image Restoration Using Consensus: An Application to Nonstationary Noise Filtering", Pattern Recognition and Image Analysis: Springer Berlin Heidelberg, pp. 358–365, 2013.
Brion, V., C. Poupon, O. Riff, S. Aja-Fernández, A. Tristán-Vega, J-F. Mangin, D. Le Bihan, and F. Poupon, "Parallel MRI noise correction: an extension of the LMMSE to non central $\chi$ distributions", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: Springer Berlin Heidelberg, pp. 226–233, 2011.
Niethammer, M., S. Bouix, S. Aja-Fernández, C-F. Westin, and M. E. Shenton, "Outlier rejection for diffusion weighted imaging", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: Springer Berlin Heidelberg, pp. 161–168, 2007.
Martin-Fernandez, M., R. San Jose-Estepar, C-F. Westin, and C. Alberola López, "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.

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