Publications

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A
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.
Aja-Fernández, S., T. Pieciak, A. Tristán-Vega, G. Vegas-Sánchez-Ferrero, V. Molina, and R. de Luis-García, "Scalar diffusion-MRI measures invariant to acquisition parameters: A first step towards imaging biomarkers", Magnetic Resonance Imaging, vol. 54, pp. 194 - 213, 2018.
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., C. Alberola-Lopez, 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.
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.
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.
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.
Aja-Fernández, S., G. Vegas-Sanchez-Ferrero, and A. Tristán-Vega, "Statistical Noise Analysis in SENSE Parallel MRI", arXiv preprint arXiv:1402.4067, 2014.
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.
Arribas, J. I., Sunflowers: growth and development, environmental influences and pests/diseases., , New York, Nova Science Publishers, pp. 323, 2014.
C
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.
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.
Cárdenes-Almeida, R., E. Muñoz-Moreno, A. Tristán-Vega, and M. Martin-Fernandez, "Saturn: A software application of tensor utilities for research in neuroimaging", Computer methods and programs in biomedicine, vol. 97, no. 3: Elsevier, pp. 264–279, 2010.
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, 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.
D
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.

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