Publications

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Journal Article
Martín-Martínez, D., P. Casaseca-de-la-Higuera, C. Alberola-Lopez, J R. Garmendia-Leiza, J. María And De Llano, and S. Alberola Lopez, "Utility of the statistical and nonlinear analysis for the actigraphic sleep pattern characterization", Sleep Medicine, vol. 14: Elsevier, pp. e181, 2013.
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.
Casaseca-de-la-Higuera, P., M. Martin-Fernandez, and C. Alberola-Lopez, "Weaning from mechanical ventilation: a retrospective analysis leading to a multimodal perspective", Biomedical Engineering, IEEE Transactions on, vol. 53, no. 7: IEEE, pp. 1330–1345, 2006.
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.
Aja-Fernández, S., C. Alberola-Lopez, and G. V. Cybenko, "A fuzzy MHT algorithm applied to text-based information tracking", Fuzzy Systems, IEEE Transactions on, vol. 10, no. 3: IEEE, pp. 360–374, 2002.
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", bioRxiv, 2021.
Aja-Fernández, S., A. H. Curiale, and G. Vegas-Sánchez-Ferrero, "A local fuzzy thresholding methodology for multiregion image segmentation", Knowledge-Based Systems, vol. 83, pp. 1-12, 07/2015.
Cordero-Grande, L., G. Vegas-Sánchez-Ferrero, P. Casaseca-de-la-Higuera, S. Aja-Fernández, and C. Alberola-Lopez, "A magnetic resonance software simulator for the evaluation of myocardial deformation estimation", Medical engineering & physics, vol. 35, no. 9: Elsevier, pp. 1331–1340, 2013.
Cordero-Grande, L., G. Vegas-Sánchez-Ferrero, P. Casaseca-de-la-Higuera, S. Aja-Fernández, and C. Alberola-Lopez, "A magnetic resonance software simulator for the evaluation of myocardial deformation estimation", Medical engineering & physics, vol. 35, no. 9: Elsevier, pp. 1331–1340, 2013.
Arribas, J. I., and J. Cid-Sueiro, "A model selection algorithm for a posteriori probability estimation with neural networks", IEEE Transactions on Neural Networks, vol. 16, pp. 799-809, 2005.
Casaseca-de-la-Higuera, P., F. Simmross-Wattenberg, M. Martin-Fernandez, and C. Alberola-Lopez, "A multichannel model-based methodology for extubation readiness decision of patients on weaning trials", Biomedical Engineering, IEEE Transactions on, vol. 56, no. 7: IEEE, pp. 1849–1863, 2009.
Cárdenes-Almeida, R., R. de Luis-García, and M. Bach-Cuadra, "A multidimensional segmentation evaluation for medical image data", Computer methods and programs in biomedicine, vol. 96, pp. 108–124, 2009.
San-José-Revuelta, L. M., and P. Casaseca-de-la-Higuera, "A new flower pollination algorithm for equalization in synchronous DS/CDMA multiuser communication systems", Soft Computing: Springer Berlin Heidelberg, pp. 1–15, 2000, 2020.
Zhang, H., C. Luo, Q. Wang, M. Kitchin, A. Parmley, J. Monge-Alvarez, and P. Casaseca-de-la-Higuera, "A novel infrared video surveillance system using deep learning based techniques", Multimedia Tools and Applications, vol. 77, issue 26676, 2018.
San Jose-Estepar, R., M. Martin-Fernandez, P. P Caballero-Martínez, C. Alberola-Lopez, and J. Ruiz-Alzola, "A theoretical framework to three-dimensional ultrasound reconstruction from irregularly sampled data", Ultrasound in medicine & biology, vol. 29, no. 2: Elsevier, pp. 255–269, 2003.

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