Publications

Export 95 results:
Author Title [ Type(Asc)] Year
Filters: First Letter Of Last Name is T  [Clear All Filters]
Journal Article
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.
Tardón-García, L. J., J. Portillo-Garcia, and C. Alberola-Lopez, "A novel Markovian formulation of the correspondence problem in stereo vision", Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, vol. 34, no. 3: IEEE, pp. 428–436, 2004.
Tristán-Vega, A., C-F. Westin, and S. Aja-Fernández, "A new methodology for the estimation of fiber populations in the white matter of the brain with the Funk–Radon transform", NeuroImage, vol. 49, no. 2: Academic Press, pp. 1301–1315, 2010.
Tristán-Vega, A., and J. I. Arribas, "A fast B-spline pseudo-inversion algorithm for consistent image registration", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4673 LNCS, pp. 768-775, 2007.
Treceño-Fernández, D., J. Calabia-del-Campo, M. L. Bote-Lorenzo, E. Gómez Sánchez, R. de Luis-García, and C. Alberola-López, "A Web-Based Educational Magnetic Resonance Simulator: Design, Implementation and Testing", Journal of Medical Systems, vol. 44, pp. 9, 2020.
Martín-Martín, C., Á. Planchuelo-Gómez, Á. L. Guerrero, D. García-Azorín, A. Tristán-Vega, R. de Luis-García, and S. Aja-Fernández, "Viability of AMURA biomarkers from single-shell diffusion MRI in clinical studies", Frontiers in Neuroscience, vol. 17, pp. 1106350, 2023.
Aja-Fernández, S., C. Martín-Martín, Á. Planchuelo-Gómez, A. Faiyaz, M. Nasir Uddin, G. Schifitto, A. Tiwari, S. J. Shigwan, R. Kumar Singh, T. Zheng, et al., "Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies", NeuroImage: Clinical, vol. 39, pp. 103483, 2023.
Aja-Fernández, S., C. Martín-Martín, Á. Planchuelo-Gómez, A. Faiyaz, M. Nasir Uddin, G. Schifitto, A. Tiwari, S. J. Shigwan, R. Kumar Singh, T. Zheng, et al., "Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies", NeuroImage: Clinical, vol. 39, pp. 103483, 2023.
Aja-Fernández, S., C. Martín-Martín, Á. Planchuelo-Gómez, A. Faiyaz, M. Nasir Uddin, G. Schifitto, A. Tiwari, S. J. Shigwan, R. Kumar Singh, T. Zheng, et al., "Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies", NeuroImage: Clinical, vol. 39, pp. 103483, 2023.
Aja-Fernández, S., C. Martín-Martín, Á. Planchuelo-Gómez, A. Faiyaz, M. Nasir Uddin, G. Schifitto, A. Tiwari, S. J. Shigwan, R. Kumar Singh, T. Zheng, et al., "Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies", NeuroImage: Clinical, vol. 39, pp. 103483, 2023.
Merino-Caviedes, S., L. Gutiérrez, J. Alfonso-Almazán, S. Sanz-Estébanez, L. Cordero-Grande, J. Quintanilla, J. Sánchez-González, M. Marina-Breysse, C. Galán-Arriola, D. Enríquez-Vázquez, et al., "Time-efficient three-dimensional transmural scar assessment provides relevant substrate characterization for ventricular tachycardia features and long-term recurrences in ischemic cardiomyopathy", Scientific Reports, vol. 11, 2021.
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-Sánchez-Ferrero, and A. Tristán-Vega, "Statistical Noise Analysis in SENSE Parallel MRI", arXiv preprint arXiv:1402.4067, 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.
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., 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.
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.
Planchuelo-Gómez, Á., M. Descoteaux, H. Larochelle, J. Hutter, D. K. Jones, and C. M. W. Tax, "Optimisation of quantitative brain diffusion-relaxation MRI acquisition protocols with physics-informed machine learning", Medical Image Analysis, vol. 94, pp. 103134, 2024.
Casaseca-de-la-Higuera, P., A. Tristán-Vega, S. Aja-Fernández, C. Alberola-Lopez, C-F. Westin, and R. San Jose-Estepar, "Optimal real-time estimation in diffusion tensor imaging", Magnetic resonance imaging, vol. 30, no. 4: Elsevier, pp. 506–517, 2012.
Aja-Fernández, S., A. Tristán-Vega, and C. Alberola-Lopez, "Noise estimation in single-and multiple-coil magnetic resonance data based on statistical models", Magnetic resonance imaging, vol. 27, no. 10: Elsevier, pp. 1397–1409, 2009.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, and A. Tristán-Vega, "Noise estimation in parallel MRI: GRAPPA and SENSE", Magnetic resonance imaging, vol. 32, no. 3: Elsevier, pp. 281–290, 2014.
Brion, V., C. Poupon, O. Riff, S. Aja-Fernández, A. Tristán-Vega, J-F. Mangin, D. Le Bihan, and F. Poupon, "Noise correction for HARDI and HYDI data obtained with multi-channel coils and Sum of Squares reconstruction: An anisotropic extension of the LMMSE", Magnetic resonance imaging, vol. 31, no. 8: Elsevier, pp. 1360–1371, 2013.
Aja-Fernández, S., T. Pieciak, C. Martín-Martín, Á. Planchuelo-Gómez, R. de Luis-García, and A. Tristán-Vega, "Moment-based representation of the diffusion inside the brain from reduced DMRI acquisitions: Generalized AMURA", Medical Image Analysis, vol. 77, pp. 102356, 2022.
Aja-Fernández, S., R. de Luis-García, M. Afzali, M. Molendowska, T. Pieciak, and A. Tristán-Vega, "Micro-structure diffusion scalar measures from reduced MRI acquisitions", PLOS ONE, vol. 15, pp. 1-25, 2020.
Treceño-Fernández, D., J. Calabia-del-Campo, F. Matute-Teresa, M. L. Bote-Lorenzo, E. Gómez-Sánchez, R. de Luis-García, and C. Alberola-López, "Magnetic Resonance Simulation in Education: Quantitative Evaluation of an Actual Classroom Experience", Sensors, vol. 21, pp. 6011, 2021.

Pages