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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., S. Aja-Fernández, and C-F. Westin, "Least squares for diffusion tensor estimation revisited: Propagation of uncertainty with Rician and non-Rician signals", NeuroImage, vol. 59, no. 4: Academic Press, pp. 4032–4043, 2012.
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Tristán-Vega, A., and S. Aja-Fernández, "Joint LMMSE estimation of DWI data for DTI processing", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: Springer Berlin Heidelberg, pp. 27–34, 2008.
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Treceño-Fernández, D., J. Calabia-del-Campo, M. L. Bote-Lorenzo, E. Gómez-Sánchez, R. de Luis-García, and C. Alberola-López, "Integration of an Intelligent Tutoring System in a Magnetic Resonance Simulator for Education: Technical Feasibility and User Experience", Computer Methods and Programs in Biomedicine, pp. 105634, 2020.
Aja-Fernández, S., and A. Tristán-Vega, "Influence of noise correlation in multiple-coil statistical models with sum of squares reconstruction", Magnetic Resonance in Medicine, vol. 67, no. 2: Wiley Subscription Services, Inc., A Wiley Company, pp. 580–585, 2012.
Aja-Fernández, S., D. García-Martín, A. Tristán-Vega, and G. Vegas-Sánchez-Ferrero, "Improving GRAPPA reconstruction by frequency discrimination in the ACS lines", International Journal of Computer Assisted Radiology and Surgery, vol. 10, issue 10, pp. 1699-1710, 2015.
Guadilla, I., A. Fouto, Á. Planchuelo-Gómez, A. Tristán-Vega, A. Ruiz-Tagle, I. Esteves, G. Caetano, N. Silva, P. Vilela, R. Gil-Gouveia, et al., "Impact of free-water correction on white matter changes measured by diffusion tensor imaging in migraine", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 4601, 2023.
Barrio-Arranz, G., R. de Luis-García, A. Tristán-Vega, M. Martín-Fernández, and S. Aja-Fernández, "Impact of MR Acquisition Parameters on DTI Scalar Indexes: A Tractography Based Approach", PLoS ONE, vol. 10, pp. e0137905, 2015.
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Tristán-Vega, A., C-F. Westin, and S. Aja-Fernández, "Estimation of fiber orientation probability density functions in high angular resolution diffusion imaging", NeuroImage, vol. 47, no. 2: Elsevier, pp. 638–650, 2009.
Martin-Fernandez, M., E. Rodriguez, D. Tejada, C. Alberola-Lopez, and J. Ruiz-Alzola, "Energy functions for the segmentation of ultrasound volume data using active rays", Acoustics, Speech, and Signal Processing, 2000. ICASSP'00. Proceedings. 2000 IEEE International Conference on, vol. 6: IEEE, pp. 2274–2277, 2000.
Portillo-Garcia, J., J. I. Trueba-Santander, G. de Miguel-Vela, and C. Alberola-Lopez, "Efficient multispectral texture segmentation using multivariate statistics", IEE Proceedings-Vision, Image and Signal Processing, vol. 145, no. 5: IEE, pp. 357–364, 1998.
Tristán-Vega, A., V. García-Pérez, S. Aja-Fernández, and C-F. Westin, "Efficient and robust nonlocal means denoising of MR data based on salient features matching", Computer methods and programs in biomedicine, vol. 105, no. 2: Elsevier, pp. 131–144, 2012.
Tristán-Vega, A., and S. Aja-Fernández, "Efficient and accurate EAP imaging from multi-shell dMRI with Micro-Structure adaptive convolution kernels and dual Fourier Integral Transforms (MiSFIT)", NeuroImage, vol. 227, pp. 117616, 2021.
Portilla, J., A. Tristán-Vega, and I. W. Selesnick, "Efficient and Robust Image Restoration Using Multiple-Feature L2-Relaxed Sparse Analysis Priors", IEEE Transactions on Image Processing, vol. 24, pp. 5046-5059, Dec, 2015.
Aja-Fernández, S., V. Brion, and A. Tristán-Vega, "Effective noise estimation and filtering from correlated multiple-coil MR data", Magnetic resonance imaging, vol. 31, no. 2: Elsevier, pp. 272–285, 2013.
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Tristán-Vega, A., and S. Aja-Fernández, "Design and construction of a realistic DWI phantom for filtering performance assessment", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: Springer Berlin Heidelberg, pp. 951–958, 2009.
Planchuelo-Gómez, Á., J. Trigo, R. de Luis-García, Á. L. Guerrero, J. Porta-Etessam, and D. García-Azorín, "Deep Phenotyping of Headache in Hospitalized COVID-19 Patients via Principal Component Analysis", Frontiers in Neurology, vol. 11, pp. 1751, 2020.
Tristán-Vega, A., S. Aja-Fernández, and C-F. Westin, "Deblurring of probabilistic ODFs in quantitative diffusion MRI", Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on: IEEE, pp. 932–935, 2012.

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