Publications

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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.
Alberola-Lopez, C., and M. Martin-Fernandez, "A simple test of equality of time series", Signal processing, vol. 83, no. 6: Elsevier, pp. 1343–1348, 2003.
Royuela-del-Val, J., M. Usman, L. Cordero-Grande, F. Simmross-Wattenberg, M. Martin-Fernandez, C. Prieto, and C. Alberola-Lopez, "Single Breath Hold Whole Heart Cine MRI With Iterative Groupwise Cardiac Motion Compensation and Sparse Regularization (kt-WiSE)", Proceedings of the International Society for Magnetic Resonance in Medicine 23, 2015.
Aja-Fernández, S., G. Vegas-Sanchez-Ferrero, and M. Fernandez, "Soft thresholding for medical image segmentation", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 4752–4755, 2010.
Godino-Moya, A., J. Royuela-del-Val, M. Usman, R-M. Menchón-Lara, M. Martín-Fernández, C. Prieto, and C. Alberola-López, "Space-time variant weighted regularization in compressed sensing cardiac cine MRI", Magnetic Resonance Imaging, vol. 58, pp. 44 - 55, 2019.
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.
Aja-Fernández, S., T. Pieciak, and G. Vegas-Sanchez-Ferrero, "Spatially variant noise estimation in MRI: A homomorphic approach", Medical Image Analysis, vol. 20, pp. 184 - 197, 2015.
González-Jaime, L., G. Vegas-Sanchez-Ferrero, E. E. Kerre, and S. Aja-Fernández, "Spatially-variant noise filtering in Magnetic Resonance Imaging: A Consensus-based approach", Knowledge-Based Systems, 2016.
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.
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.
Canales-Rodríguez, E. J., A. Daducci, S. N. Sotiropoulos, E. Caruyer, S. Aja-Fernández, J. Radua, Y. Yurramendi Mendizabal, Y. Iturria-Medina, L. Melie-García, and Y. Alemán-Gómez, "Spherical deconvolution of multichannel diffusion MRI data with non-Gaussian noise models and total variation spatial regularization", arXiv preprint arXiv:1410.6353, 2014.
Canales-Rodríguez, E. J., A. Daducci, S. N. Sotiropoulos, E. Caruyer, S. Aja-Fernández, J. Radua, J. M. Yurrame Mendizabal, Y. Iturria-Medina, L. Melie-García, Y. Alemán-Gómez, et al., "Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization", PLoS ONE, vol. 10, pp. e0138910, 2015.
Aja-Fernández, S., and G. Vegas-Sanchez-Ferrero, Statistical Analysis of Noise in MRI. Modeling, Filtering and Estimation, , Switzerland, Springer International Publishing, pp. 327, 2016.
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.
Aja-Fernández, S., A. Tristán-Vega, and W. Scott Hoge, "Statistical noise analysis in GRAPPA using a parametrized noncentral Chi approximation model", Magnetic resonance in medicine, vol. 65, no. 4: Wiley Subscription Services, Inc., A Wiley Company, pp. 1195–1206, 2011.
Aja-Fernández, S., G. Vegas-Sanchez-Ferrero, and A. Tristán-Vega, "Statistical Noise Analysis in SENSE Parallel MRI", arXiv preprint arXiv:1402.4067, 2014.
Aja-Fernández, S., A. Tristán-Vega, and W. Scott Hoge, "Statistical noise model in GRAPPA-reconstructed images", Proceedings of the International Society of Magnetic Resonance in Medicine, pp. 3859, 2010.
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.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, M. Martin-Fernandez, A. Amira, C. Luo, C. Grecos, and C. Alberola-Lopez, "A stochastic modelling framework for the reconstruction of cardiovascular signals", Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, vol. 36: IEEE, pp. 676-679, 2014.
Sosa-Cabrera, D., R. de Luis-Garcia, A. Tristán-Vega, C. Alberola-Lopez, and J. Ruiz-Alzola, "Strain index: a new visualizing parameter for US elastography", Medical Imaging: International Society for Optics and Photonics, pp. 69200W–69200W, 2008.
Sosa-Cabrera, D., R. de Luis-Garcia, A. Tristán-Vega, C. Alberola-Lopez, and J. Ruiz-Alzola, "Strain index: a new visualizing parameter for US elastography", PROCEEDINGS-SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, vol. 6920: International Society for Optical Engineering; 1999, pp. 6920, 2008.
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.
Vegas-Sanchez-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.
Arribas, J. I., Sunflowers: growth and development, environmental influences and pests/diseases., , New York, Nova Science Publishers, pp. 323, 2014.
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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