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Aja-Fernández, S., R. de Luis-García, M. Angel Martin-Fernandez, and C. Alberola-Lopez, "A computational TW3 classifier for skeletal maturity assessment. A Computing with Words approach", Journal of Biomedical Informatics, vol. 37, no. 2: Academic Press, pp. 99–107, 2004.
Aja-Fernández, S., and G. Vegas-Sánchez-Ferrero, Statistical Analysis of Noise in MRI. Modeling, Filtering and Estimation, Switzerland, Springer International Publishing, pp. 327, 2016.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, and A. Tristán-Vega, "Noise estimation in MR GRAPPA reconstructed data", Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on: IEEE, pp. 1815–1818, 2011.
Aja-Fernández, S., R. de Luis-García, D. Tao, and X. Li, Tensors in image processing and computer vision: Springer, 2009.
Aja-Fernández, S., C. Alberola-Lopez, and C-F. Westin, "Noise and signal estimation in magnitude MRI and Rician distributed images: a LMMSE approach", Image Processing, IEEE Transactions on, vol. 17, no. 8: IEEE, pp. 1383–1398, 2008.
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.
Aksoy, M., N. Avcu, S. Merino-Caviedes, E. Deniz Diktas, M. Angel Martin-Fernandez, S. Girgin, I. Marras, E. Muñoz-Moreno, E. Tekeli, and B. Acar, "DTI Application with Haptic Interfaces", Proc. eNTER-FACE, vol. 7, pp. 1–9, 2007.
Alberola-Lopez, C., J. Ramon Casar-Corredera, and J. Ruiz-Alzola, "A Region Oriented CFAR Approach to the Detection of Extensive Targets in Textured Images", Proceedings IWISP'96: 4-7 November 1996, Manchester, United Kingdom: Third International Workshop on Image and Signal Processing on the Theme of Advances in Computational Intelligence: Elsevier Science Ltd, pp. 195, 1996.
Alberola-Lopez, C., R. Cárdenes-Almeida, M. Martin-Fernandez, M. Angel Martin-Fernandez, M. Rodríguez-Florido, and J. Ruiz-Alzola, "disnei: A collaborative environment for medical images analysis and visualization", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2000: Springer, 2000.
Alberola-Lopez, C., and M. Martin-Fernandez, "A simple test of equality of time series", Signal processing, vol. 83, no. 6: Elsevier, pp. 1343–1348, 2003.
Alberola-Lopez, S., D. Martín-Martínez, P. Casaseca-de-la-Higuera, I. Casares-Alonso, I. Pérez-García, A. Cano-Garcinuño, J. Antonio López-Villalobos, F.C. Ruiz, J. Maria Andres-de-Llano, C. Alberola-Lopez, et al., "TDAH en atención primaria: Registro de la Actividad mediante actimetría ambulatoria. Mesa Redonda. Ponencia Invitada", 61º Congreso Anual de la Asociación Española de Pediatría. Granada, vol. 61, Granada, Spain, pp. 34-39, 2012.
Alberola-Lopez, C., JR. Casar-Corredera, and G. de Miguel-Vela, "Object CFAR detection in gamma-distributed textured-background images", IEE Proceedings-Vision, Image and Signal Processing, vol. 146, no. 3: IEE, pp. 130–136, 1999.
Alberola-Lopez, C., J. Ramon Casar-Corredera, and J. Ruiz-Alzola, "A Comparison of CFAR Strategies for Blob Detection in Textured Images", European Signal Processing Conference (EUSIPCO), 1996: Elsevier, 1996.
Alberola-Lopez, C., M. Martin-Fernandez, and J. Ruiz-Alzola, "Comments on: A methodology for evaluation of boundary detection algorithms on medical images", Medical Imaging, IEEE Transactions on, vol. 23, no. 5: IEEE, pp. 658–660, 2004.
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.
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.
Ali, A. Ait Si, M. Siupik, A. Amira, F. Bensaali, and P. Casaseca-de-la-Higuera, "HLS based hardware acceleration on the zynq SoC: A case study for fall detection system", IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA 2014), Doha, Qatar, 2014.
Alonso-Garcia, S., J. Gomez-Gil, and J. I. Arribas, "Evaluation of the use of low-cost GPS receivers in the autonomous guidance of agricultural tractors", Spanish Journal of Agricultural Research, vol. 9, pp. 377-388, 2011.
Amado-Caballero, P., P. Casaseca-de-la-Higuera, S. Alberola-Lopez, J. Maria Andres-de-Llano, J. Antonio Lopez-Villalobos, J. Ramon Garmendia-Leiza, and C. Alberola-Lopez, "Objective ADHD diagnosis using Convolutional Neural Networks over Daily-Life Activity Records", IEEE Journal of Biomedical and Health Informatics, 2020.
Arenillas, J. F., D. Argibay-Quiñones, P. Garcia-Bermejo, A. I. Calleja, D. Martín-Martínez, J. M. Sierra, J. José Fuertes-Alija, and M. Martin-Fernandez, "Diffusion Tensor Imaging (DTI) Monitoring Of Motor Function Recovery After Middle Cerebral Artery Infarction: Searching For A DTI-Marker Of Neurorepair", STROKE, vol. 42, no. 3: LIPPINCOTT WILLIAMS & WILKINS 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA, pp. E119–E119, 2011.
Arribas, J. I., V. D. Calhoun, and T. Adali, "Automatic bayesian classification of healthy controls, bipolar disorder, and schizophrenia using intrinsic connectivity maps from fMRI data", IEEE Transactions on Biomedical Engineering, vol. 57, pp. 2850-2860, 2010.
Arribas, J. I., J. Cid-Sueiro, T. Adali, and A. R. Figueiras-Vidal, "Neural architectures for parametric estimation of a posteriori probabilities by constrained conditional density functions", Neural Networks for Signal Processing - Proceedings of the IEEE Workshop, Madison, WI, USA, IEEE, Piscataway, NJ, United States, 1999.
Arribas, J. I., Sunflowers: growth and development, environmental influences and pests/diseases., New York, Nova Science Publishers, pp. 323, 2014.
Arribas, J. I., J. Cid-Sueiro, and C. Alberola-Lopez, "Estimation of Posterior Probabilities with Neural Networks: Application to Microcalcification Detection in Breast Cancer Diagnosis", Handbook of Neural Engineering: Wiley Online Library, pp. 41–58, 2005.
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.

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