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Zhang, H., C. Luo, Q. Wang, M. Kitchin, A. Parmley, J. Monge-Alvarez, and P. Casaseca-de-la-Higuera, "A novel infrared video surveillance system using deep learning based techniques", Multimedia Tools and Applications, vol. 77, issue 26676, 2018.
Zhang, Y., Ó. Peña-Nogales, J. H. Holmes, and D. Hernando, "Monte-Carlo Analysis of Quantitative Diffusion Measurements Using Motion-Compensated Diffusion Weighting Waveforms", International Society of Magnetic Resonance in Medicine 25th Annual Meeting and Exhibition, Honolulu, HI, USA, pp. 1733, 2017.
Zhang, H., P. Casaseca-de-la-Higuera, C. Luo, Q. Wang, M. Kitchin, A. Parmley, and J. Monge-Alvarez, "Systematic infrared image quality improvement using deep learning based techniques", Remote Sensing Technologies and Applications in Urban Environments: International Society for Optics and Photonics, 2016.
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Veraart, J., S. Winzeck, Á. Planchuelo-Gómez, B. Fricke, E. N. Kornaropoulos, H. Merisaari, T. Pieciak, Y. Zou, and M. Descoteaux, "Assessing the variability of brain diffusion MRI preprocessing pipelines using a Region-of-Interest analysis", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 5015, 2023.
Vegas-Sánchez-Ferrero, G., J. Seabra, O. Rodriguez-Leor, A. Serrano-Vida, S. Aja-Fernández, C. Palencia, M. Martin-Fernandez, and J. Sanches, "Gamma mixture classifier for plaque detection in intravascular ultrasonic images", Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on, vol. 61, no. 1: IEEE, pp. 44–61, 2014.
Vegas-Sánchez-Ferrero, G., S. Aja-Fernández, M. Martin-Fernandez, and C. Palencia, "A direct calculation of moments of the sample variance", Mathematics and Computers in Simulation, vol. 82, no. 5: North-Holland, pp. 790–804, 2012.
Vegas-Sánchez-Ferrero, G., S. Aja-Fernández, C. Palencia, and M. Martin-Fernandez, "A Generalized Gamma Mixture Model for Ultrasonic Tissue Characterization", Computational and mathematical methods in medicine, vol. 2012: Hindawi Publishing Corporation, 2012.
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.
Vegas-Sánchez-Ferrero, G., D. Martín-Martínez, P. Casaseca-de-la-Higuera, L. Cordero-Grande, S. Aja-Fernández, M. Martin-Fernandez, and C. Palencia, "Realistic log-compressed law for ultrasound image recovery", Image Processing (ICIP), 2011 18th IEEE International Conference on: IEEE, pp. 2029–2032, 2011.
Vegas-Sánchez-Ferrero, G., A. Tristán-Vega, S. Aja-Fernández, M. Martin-Fernandez, C. Palencia, and R. Deriche, "Anisotropic LMMSE denoising of MRI based on statistical tissue models", Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on: IEEE, pp. 1519–1522, 2012.
Vegas-Sánchez-Ferrero, G., G. Ramos-Llorden, R. de Luis-García, A. Tristán-Vega, and S. Aja-Fernández, "Anisotropic diffusion filtering for correlated multiple-coil MRI", Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE: IEEE, pp. 2956–2959, 2013.
Vegas-Sánchez-Ferrero, G., F. Simmross-Wattenberg, M. Martin-Fernandez, C. Palencia-de-Lara, and C. Alberola-Lopez, "Caracterización de speckle con modelos de cola pesada", Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), San Sebastián, España, Sociedad Española de Ingeniería Biomédica, 2012.
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.
Vegas-Sánchez-Ferrero, G., M. Martin-Fernandez, and M. J Sanches, "A Gamma Mixture Model for IVUS Imaging", Multi-Modality Atherosclerosis Imaging and Diagnosis: Springer New York, pp. 155–171, 2014.
Vegas-Sánchez-Ferrero, G., D. Martín-Martínez, S. Aja-Fernández, and C. Palencia, "On the influence of interpolation on probabilistic models for ultrasonic images", Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on: IEEE, pp. 292–295, 2010.
Vaquero-González, L. M., D. Hernández-Leo, F. Simmross-Wattenberg, M. L. Bote-Lorenzo, J. Ignacio Asensio-Pérez, Y. A. Dimitriadis, E. Gómez-Sánchez, and G. Vega-Gorgojo, "The opportunity of grid services for CSCL-application development", Parallel, Distributed and Network-Based Processing, 2005. PDP 2005. 13th Euromicro Conference on, Lausanne, Switzerland, IEEE, 2005.
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Tristán-Vega, A., S. Aja-Fernández, and C-F. Westin, "On the Blurring of the Funk–Radon Transform in Q–Ball Imaging", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: Springer Berlin Heidelberg, pp. 415–422, 2009.
Tristán-Vega, A., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Local similarity measures for demons-like registration algorithms", Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on: IEEE, pp. 1087–1090, 2008.
Tristán-Vega, A., and S. Aja-Fernández, "DWI filtering using joint information for DTI and HARDI", Medical Image Analysis, vol. 14, no. 2: Elsevier, pp. 205–218, 2010.
Tristán-Vega, A., and J. I. Arribas, "A radius and ulna TW3 bone age assessment system", IEEE Transactions on Biomedical Engineering, vol. 55, pp. 1463-1476, 2008.
Tristán-Vega, A., and S. Aja-Fernández, "Fuzzy regularisation of deformation fields in image registration", Proc. IPMU, pp. 1223–30, 2008.

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