Publications

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C
Cordero-Grande, L., G. Vegas-Sanchez-Ferrero, P. Casaseca-de-la-Higuera, A. J San-Román-Calvar, A.. Revilla-Orodea, M. Martin-Fernandez, and C. Alberola-Lopez, "Unsupervised 4D myocardium segmentation with a Markov Random Field based deformable model", Medical image analysis, vol. 15, no. 3: Elsevier, pp. 283–301, 2011.
Cordero-Grande, L., M. Martin-Fernandez, and C. Alberola-Lopez, "Integration of biomechanical properties in a Markov random field: Application to myocardial motion estimation in cardiomyopathy patients", Quantitative Medical Imaging: Optical Society of America, pp. QW2G–1, 2013.
Cordero-Grande, L., G. Vegas-Sanchez-Ferrero, P. Casaseca-de-la-Higuera, and C. Alberola-Lopez, "Topology-preserving registration: a solution via graph cuts", Combinatorial Image Analysis: Springer, pp. 420–431, 2011.
Cordero-Grande, L., T.. Sevilla-Ruiz, A. Revilla, M. Martin-Fernandez, and C. Alberola-Lopez, "Assessment of the fibrotic myocardial tissue mechanics by image processing", Computing in Cardiology Conference (CinC), 2013: IEEE, 2013.
Curiale, A. H., A. Haak, G. Vegas-Sanchez-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.
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.
Curiale, A. H., G. Vegas-Sanchez-Ferrero, and S. Aja-Fernández, "Probabilistic Tissue Characterization for Ultrasound Images", Insight Journal, 2015.
Curiale, A. H., G. Vegas-Sanchez-Ferrero, T. Pérez-Sanz, and S. Aja-Fernández, "Strain rate tensor estimation from echocardiography for quantitative assessment of functional mitral regurgitation", Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on: IEEE, pp. 788–791, 2013.
Curiale, A. H., G. Vegas-Sanchez-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.
Curiale, A. H., G. Vegas-Sanchez-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.
Curiale, A. H., V. G Sánchez-Ferrero, T. Pérez-Sanz, and S. Aja-Fernández, "Cuantificación de la insuficiencia mitral funcional mediante el esfuerzo y la velocidad del miocardio", XXIX Congreso Anual de la Sociedad Española de Ingeniería Biomédica, Centro de Cirugía de Mínima Invasión Jesús Usón, 2011.
Curiale, A. H., G. Vegas-Sanchez-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.
D
De la Cruz, C., AL. Guerrero, ML. Penas, D. Argibay-Quiñones, J. M. Sierra, S. Aja-Fernández, and R. de Luis-Garcia, "White matter abnormalities in chronic migraine patients are located in anterior corpus callosum: study using a new automatic tractography selection method", EUROPEAN JOURNAL OF NEUROLOGY, vol. 21: WILEY-BLACKWELL 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, pp. 51–51, 2014.
de Luis-Garcia, 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-Garcia, R., A. C Lopez, G. Kindlmann, and C-F. Westin, "Automatic segmentation of white matter structures from DTI using tensor invariants and tensor orientation", Proc. Intl. Soc. Mag. Reson. Med, 2009.
de Luis-Garcia, 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-Garcia, 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.
de Luis-Garcia, R., M. Martin-Fernandez, J. I. Arribas, and C. Alberola-Lopez, "A fully automatic algorithm for contour detection of bones in hand radiographs using active contours", Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on, vol. 3: IEEE, pp. III–421, 2003.
de Luis-Garcia, R., R. Deriche, M. Rousson, and C. Alberola-Lopez, "Tensor processing for texture and colour segmentation", Image Analysis: Springer, pp. 1117–1127, 2005.
de Luis-Garcia, R., M. Martin-Fernandez, M. Angel Martin-Fernandez, and C. Alberola-Lopez, "A model-based algorithm for the automatic segmentation of metacarpals in handwrist radiographs using active contours", Third Annual Meeting of the Int. Society for Comp. Assist. Orthopaedic Surg, pp. 80–81, 2003.
de Luis-Garcia, R., J. I. Arribas, S. Aja-Fernández, and A. C Lopez, "A neural architecture for bone age assessment", Proc. of the IASTED International Conference on Signal Processing, Pattern Recognition & Applications, pp. 161–166, 2002.
de Luis-Garcia, 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-Garcia, R., and C. Alberola-Lopez, "Mixtures of gaussians on tensor fields for DT-MRI segmentation", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: Springer, pp. 319–326, 2007.
de Luis-Garcia, R., C. Alberola-Lopez, and C-F. Westin, "Segmentation of tensor fields: Recent advances and perspectives", Tensors in Image Processing and Computer Vision: Springer, pp. 35–58, 2009.
de Luis-Garcia, R., G. Vegas-Sanchez-Ferrero, S. Aja-Fernández, and C. Alberola-Lopez, "Atlas-based segmentation of white matter structures from DTI using tensor invariants and orientation", Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE: IEEE, pp. 503–506, 2013.

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