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Sanz-Estébanez, S., L. Cordero-Grande, T. Sevilla-Ruiz, A. Revilla-Orodea, R. de Luis-García, M. Martin-Fernandez, and C. Alberola-Lopez, "Vortical Features for Myocardial Rotation Assessment in Hypertrophic Cardiomyopathy using Cardiac Tagged Magnetic Resonance", Medical Image Analysis, vol. In Press, 04/2018.
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-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.
T
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.
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.
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.
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.
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, 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.
S
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.
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.
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.
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.
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.
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.

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