Publications

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V
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.
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.
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.
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.
W
Casaseca-de-la-Higuera, P., R. de Luis-García, F. Simmross-Wattenberg, and C. Alberola-Lopez, "Weaning from mechanical ventilation: feature extraction from a statistical signal processing viewpoint", Proc. 13th Signal Processing Conf., EUSIPCO, 2005.
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.
Dadashzadeh, M., Y. Abbaspour-Gilandeh, T. Mesri-Gundoshmian, S. Sabzi, J. Luis Hernández-Hernández, M. Hernández-Hernández, and J. I. Arribas, "Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields", Plants, vol. 9, pp. 559, 2020.
De la Cruz, C., Á. L. Guerrero, ML. Penas, D. Argibay-Quiñones, J. M. Sierra, S. Aja-Fernández, and R. de Luis-García, "White matter abnormalities in chronic migraine patients are located in anterior corpus callosum: study using a new automatic tractography selection method", EUROPEAN JOURNAL OF NEUROLOGY, vol. 21: WILEY-BLACKWELL 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, pp. 51–51, 2014.
Royuela-del-Val, J., M. Usman, L. Cordero-Grande, M. Martín-Fernández, F. Simmross-Wattenberg, C. Prieto, and C. Alberola-Lopez, "Whole-heart single breath-hold cardiac cine: A robust motion-compensated compressed sensing reconstruction method", International Workshop on Reconstruction and Analysis of Moving Body Organs (RAMBO/MICCAI) , Athens, Greece, 2016.
E
Tristán-Vega, A., F. Simmross-Wattenberg, E. Muñoz-Moreno, P. Casaseca-de-la-Higuera, and M. Martin-Fernandez, "On the estimation of joint probability density functions for multi-modal registration of medical images", Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), vol. 26, Valladolid, Spain, Sociedad Española de Ingeniería Biomédica, pp. 13-16, 2008.
Bouix, S., M. Martin-Fernandez, L. Ungar, M. Nakamura, M-S. Koo, R. W. McCarley, and M. E. Shenton, "On evaluating brain tissue classifiers without a ground truth", Neuroimage, vol. 36, no. 4: Academic Press, pp. 1207–1224, 2007.
G
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.

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