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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.
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.
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.
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.
Sosa-Cabrera, D., R. de Luis-García, 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-García, 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.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, M. Rodríguez, S. Aja-Fernández, and R. de Luis-García, "Structural brain changes in patients with persistent headache after COVID-19 resolution", Journal of Neurology, vol. 270, pp. 13-31, 2023.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "Structural connectivity alterations in chronic and episodic migraine: A diffusion magnetic resonance imaging connectomics study", Cephalalgia, vol. 40, issue 4, pp. 367-383, 2020.
Moya-Sáez, E., R. Navarro-González, S. Cepeda, Á. Pérez-Núñez, R. de Luis-Garcia, S. Aja-Fernández, and C. Alberola-López, "Synthetic MRI improves radiomics-based glioblastoma survival prediction", NMR in Biomedicine, 2022.
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de Luis-García, R., R. Deriche, M. Rousson, and C. Alberola-Lopez, "Tensor processing for texture and colour segmentation", Image Analysis: Springer, pp. 1117–1127, 2005.
de Luis-García, R., R. Deriche, M. Rousson, and C. Alberola-Lopez, "Tensor processing for texture and colour segmentation", Image Analysis: Springer, pp. 1117–1127, 2005.
Aja-Fernández, S., R. de Luis-García, D. Tao, and X. Li, Tensors in image processing and computer vision: Springer, 2009.
de Luis-García, R., R. Deriche, and C. Alberola-Lopez, "Texture and color segmentation based on the combined use of the structure tensor and the image components", Signal Processing, vol. 88, no. 4: Elsevier, pp. 776–795, 2008.
de Luis-García, R., R. Deriche, and C. Alberola-Lopez, "Texture and color segmentation based on the combined use of the structure tensor and the image components", Signal Processing, vol. 88, no. 4: Elsevier, pp. 776–795, 2008.
Molina, V., A. Bachiller, R. de Luis-García, A. Lubeiro, J. Poza, R. Hornero, J. Francesc Alonso, M. Angel Mañanas, P. Marqués, and S. Romero, "Topography of activation deficits in schizophrenia during P300 task related to cognition and structural connectivity", European Archives of Psychiatry and Clinical Neuroscience, Feb, 2018.
Moya-Sáez, E., R. de Luis-García, and C. Alberola-López, "Toward deep learning replacement of gadolinium in neuro-oncology: A review of contrast-enhanced synthetic MRI", Frontiers in Neuroimaging, vol. 2, 2023.
de Luis-García, R., and C. Alberola-Lopez, "Tractography clustering for fiber selection in ROI-based diffusion tensor studies", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 5665–5668, 2010.
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Aja-Fernandez, S., C. Martin-Martin, T. Pieciak, Á. Planchuelo-Gómez, A. Faiyaz, N. Uddin, A. Tiwari, S. J. Shigwan, T. Zheng, Z. Cao, et al., "Validation of Deep Learning techniques for quality augmentation in diffusion MRI for clinical studies", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 2786, 2023.
Aja-Fernandez, S., C. Martin-Martin, T. Pieciak, Á. Planchuelo-Gómez, A. Faiyaz, N. Uddin, A. Tiwari, S. J. Shigwan, T. Zheng, Z. Cao, et al., "Validation of Deep Learning techniques for quality augmentation in diffusion MRI for clinical studies", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 2786, 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.

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