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Arribas, J. I., J. Cid-Sueiro, T. Adali, and A. R. Figueiras-Vidal, "Neural networks to estimate ML multi-class constrained conditional probability density functions", Proceedings of the International Joint Conference on Neural Networks, Washington, DC, USA, IEEE, United States, 1999.
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., Sunflowers: growth and development, environmental influences and pests/diseases., New York, Nova Science Publishers, pp. 323, 2014.
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.
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.
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.
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.
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.
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.
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.
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., C. -Corredera, JR, 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, 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., 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., 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, 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.
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.
Aja-Fernández, S., A. Tristán-Vega, and P. Casaseca-de-la-Higuera, "DWI acquisition schemes and diffusion tensor estimation: a simulation-based study", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 3317–3320, 2010.
Aja-Fernández, S., R. de Luis-García, M. Afzali, M. Molendowska, T. Pieciak, and A. Tristán-Vega, "Micro-structure diffusion scalar measures from reduced MRI acquisitions", PLOS ONE, vol. 15, pp. 1-25, 2020.
Aja-Fernández, S., L. Cordero-Grande, G. Vegas-Sánchez-Ferrero, R. de Luis-García, and C. Alberola-Lopez, "Robust estimation of MRI myocardial perfusion parameters", Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE: IEEE, pp. 4382–4385, 2013.
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., and C. Alberola-Lopez, "Fuzzy Granules as a Basic Word Representation for Computing with Words", 9th Conference Speech and Computer, 2004.
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., and G. Vegas-Sánchez-Ferrero, "Blind Estimation of Spatially Variant Noise in GRAPPA MRI", International Symposium on Biomedical Imaging, pp. SuAT7.4, 2015.
Aja-Fernández, S., V. Brion, and A. Tristán-Vega, "Effective noise estimation and filtering from correlated multiple-coil MR data", Magnetic resonance imaging, vol. 31, no. 2: Elsevier, pp. 272–285, 2013.