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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-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.
López-Villalobos, J. Antonio, J. Maria Andres-de-Llano, S. Alberola-Lopez, P. Casaseca-de-la-Higuera, D. Martín-Martínez, J. Ardura-Fernández, and C. Alberola-Lopez, "Validez de los criterios DSM-IV en el diagnostico del TDAH. Nuevas perspectivas de investigación. Mesa Redonda. Ponencia Invitada", 61º Congreso Anual de la Asociación Española de Pediatría, vol. 61, Granada, Spain, pp. 39-43, 2012.
Pieciak, T., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Variance Stabilization of Noncentral-Chi Data: Application to Noise Estimation in MRI", 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), Prague, 2016, Prague, Czech Republic, 2016.
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.
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.
Merino-Caviedes, S., G. Vegas-Sánchez-Ferrero, T. M Pérez, S. Aja-Fernández, and M. Martin-Fernandez, "A variationally based weighted re-initialization method for geometric active contours", Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on: IEEE, pp. 908–911, 2010.
"A visible-range computer-vision system for automated, non-intrusive assessment of the pH value in Thomson oranges", Computers In Industry, vol. 99, 2018.