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Cordero-Grande, L., G. Vegas-Sánchez-Ferrero, P.. Casaseca-de-la-Higuera, S. Aja-Fernández, and C. Alberola López, "A magnetic resonance software simulator for the evaluation of myocardial deformation estimation", Medical engineering & physics, vol. 35, no. 9: Elsevier, pp. 1331–1340, 2013.
Cordero-Grande, L., G. Vegas-Sánchez-Ferrero, P.. Casaseca-de-la-Higuera, and C. Alberola López, "A Markov random field approach for topology-preserving registration: Application to object-based tomographic image interpolation", Image Processing, IEEE Transactions on, vol. 21, no. 4: IEEE, pp. 2047–2061, 2012.
Cordero-Grande, L., S.. Merino-Caviedes, R. de Luis-García, S. Aja-Fernández, M. Martin-Fernandez, and C. Alberola López, "Groupwise myocardial alignment in magnetic resonance perfusion sequences", Proc of the XXIX CASEIB, Cáceres, Spain, pp. 437–440, 2011.
Cordero-Grande, L., S.. Merino-Caviedes, X. Alba, RM. Figueras i Ventura, A. F. Frangi, and C. Alberola López, "3D fusion of cine and late-enhanced cardiac magnetic resonance images", Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on: IEEE, pp. 286–289, 2012.
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.
Cordero-Grande, L., M. Martin-Fernandez, and C. Alberola López, "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., T.. Sevilla-Ruiz, A. Revilla, M. Martin-Fernandez, and C. Alberola López, "Assessment of the fibrotic myocardial tissue mechanics by image processing", Computing in Cardiology Conference (CinC), 2013: IEEE, 2013.
Cordero-Grande, L., G. Vegas-Sánchez-Ferrero, P.. Casaseca-de-la-Higuera, and C. Alberola López, "Improving Harmonic Phase Imaging by the Windowed Fourier Transform", Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on: IEEE, pp. 520–523, 2011.
Cordero-Grande, L., J. Royuela-del-Val, S. Sanz-Estébanez, M. Martin-Fernandez, and C. Alberola López, "Multi-oriented windowed harmonic phase reconstruction for robust cardiac strain imaging", Medical Image Analysis, vol. 29, pp. 1-11, 2016.
Cordero-Grande, L., G. Vegas-Sánchez-Ferrero, P.. Casaseca-de-la-Higuera, A. J San-Román-Calvar, A.. Revilla-Orodea, M. Martin-Fernandez, and C. Alberola López, "Unsupervised 4D myocardium segmentation with a Markov Random Field based deformable model", Medical image analysis, vol. 15, no. 3: Elsevier, pp. 283–301, 2011.
Curiale, A. H., A. Haak, G. Vegas-Sánchez-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. 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-Sánchez-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.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Probabilistic Tissue Characterization for Ultrasound Images", Insight Journal, 2015.
Curiale, A. H., G. Vegas-Sánchez-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-Sánchez-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. 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-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.
D
De la Cruz, C., AL. Guerrero, ML. Penas, D. Argibay-Quiñones, J. M. Sierra, S. Aja-Fernández, and R. de Luis-García, "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-García, R., and C. Alberola López, "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 López, "Gaussian mixtures on tensor fields for segmentation: Applications to medical imaging", Computerized Medical Imaging and Graphics, vol. 35, no. 1: Elsevier, pp. 16–30, 2011.
de Luis-García, R., and C. Alberola López, "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-García, R., C-F. Westin, and C. Alberola López, "Geometrical constraints for robust tractography selection", NeuroImage, vol. 81: Academic Press, pp. 26–48, 2013.
de Luis-García, 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-García, R., C. Alberola López, O. Aghzout, and J. Ruiz-Alzola, "Biometric identification systems", Signal Processing, vol. 83, no. 12: Elsevier, pp. 2539–2557, 2003.

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