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Barrio-Arranz, G., S. Aja-Fernández, C. Alberola-Lopez, and M. Martin-Fernandez, "SATURN2: An Improved Software Tool for Neuroimaging Analysis", CASEIB2011, Cáceres, Espana, 2011.
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.
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.
Fernández-Linsenbarth, I., Á. Planchuelo-Gómez, R. M. Beño-Ruiz-de-la-Sierra, A. Díez, A. Arjona, A. Pérez, A. Rodríguez-Lorenzana, P. del Valle, R. de Luis-García, G. Mascialino, et al., "Search for schizophrenia and bipolar biotypes using functional network properties", Brain and Behavior, vol. 11, pp. e2415, 2021.
Merino-Caviedes, S., L. Cordero-Grande, M. T. Pérez, P. Casaseca-de-la-Higuera, M. Martín-Fernández, R. Deriche, and C. Alberola-López, "A Second Order Multi-Stencil Fast Marching Method With a Non-Constant Local Cost Model", IEEE Transactions on Image Processing, vol. 28, issue 4, pp. 1967–1979, 04/2019.
de Luis-García, 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.
Martin-Fernandez, M., C. Alberola-Lopez, J. Ruiz-Alzola, and C-F. Westin, "Sequential anisotropic Wiener filtering applied to 3D MRI data", Magnetic resonance imaging, vol. 25, no. 2: Elsevier, pp. 278–292, 2007.
Martin-Fernandez, M., E. Muñoz-Moreno, L. Cammoun, J-P. Thiran, C-F. Westin, and C. Alberola-Lopez, "Sequential anisotropic multichannel Wiener filtering with Rician bias correction applied to 3D regularization of DWI data", Medical image analysis, vol. 13, no. 1: Elsevier, pp. 19–35, 2009.
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.
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.
Algarin, J. M., E. Diaz-Caballero, J. Borreguero, F. Galve, D. Grau-Ruiz, J. P. Rigla, R. Bosch, J. M. Gonzalez, E. Pallas, M. Corberan, et al., "Simultaneous imaging of hard and soft biological tissues in a low-field dental MRI scanner", Scientific Reports, vol. 10, pp. 1–14, 2021, 2020.
Algarín, J. M., E. Díaz-Caballero, J. Borreguero, F. Galve, D. Grau-Ruiz, J. P. Rigla, R. Bosch, J. M. González, E. Pallás, M. Corberán, et al., "Simultaneous imaging of hard and soft biological tissues in a low-field dental MRI scanner", Scientific Reports volume , vol. 10, 2020.
Royuela-del-Val, J., M. Usman, L. Cordero-Grande, F. Simmross-Wattenberg, M. Martin-Fernández, 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.
Pieciak, T., F. Bogusz, A. Tristán-Vega, R. de Luis-García, and S. Aja-Fernández, "Single-Shell Return-to-the-Origin Probability Diffusion Mri Measure Under a Non-Stationary Rician Distributed Noise", 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019): IEEE, 2019.
Martinez-Alpiste, I., P. Casaseca-de-la-Higuera, J-M. Alcaraz-Calero, C. Grecos, and Q. Wang, "Smartphone-based object recognition with embedded machine learning intelligence for unmanned aerial vehicles", Journal of Field Robotics, vol. 37, no. 3, pp. 404–420, 2020.
Aja-Fernández, S., G. Vegas-Sánchez-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-Sánchez-Ferrero, "Spatially variant noise estimation in MRI: A homomorphic approach", Medical Image Analysis, vol. 20, pp. 184 - 197, 2015.
González-Jaime, L., G. Vegas-Sánchez-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-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.
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.
Aja-Fernández, S., and G. Vegas-Sánchez-Ferrero, Statistical Analysis of Noise in MRI. Modeling, Filtering and Estimation, Switzerland, Springer International Publishing, pp. 327, 2016.

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