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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.
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.
Segura-Méndez, B., Á. Planchuelo-Gómez, Á. Sierra, D. García-Azorín, E. Velasco-García, Á. Fuentes-Martín, C. Sánchez, V-A. I. de la Lastra, Á. L. Guerrero, and Y. Carrascal, "Objective measurement of pain related to cardiac surgery: a study using algometry", 8th Congress of the European Academy of Neurology, 2022.
Simmross-Wattenberg, F., M. Rodríguez-Cayetano, J. Royuela-del-Val, E. Martín-González, E. Moya-Sáez, M. Martín-Fernández, and C. Alberola-López, "OpenCLIPER: An OpenCL-Based C++ Framework for Overhead-Reduced Medical Image Processing and Reconstruction on Heterogeneous Devices", IEEE Journal of Biomedical and Health Informatics, vol. 23, pp. 1702-1709, July, 2019.
Peña-Nogales, Ó., Y. Zhang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimal Diffusion-weighting Gradient Waveform Design (ODGD): Formulation and Experimental Validation", International Society of Magnetic Resonance in Medicine 26th Annual Meeting and Exhibition, Paris, France, pp. 685, 2018.
Peña-Nogales, Ó., R. de Luis-García, S. Aja-Fernández, Y. Zhang, J. H. Holmes, and D. Hernando, "Optimal design of motion-compensated diffusion gradient waveforms ", International Society of Magnetic Resonance in Medicine 25th Annual Meeting and Exhibition, Honolulu, HI, USA, pp. 3340, 2017.
Casaseca-de-la-Higuera, P., A. Tristán-Vega, S. Aja-Fernández, C. Alberola-Lopez, C-F. Westin, and R. San Jose-Estepar, "Optimal real-time estimation in diffusion tensor imaging", Magnetic resonance imaging, vol. 30, no. 4: Elsevier, pp. 506–517, 2012.
Planchuelo-Gómez, Á., M. Descoteaux, H. Larochelle, J. Hutter, D. K. Jones, and C. M. W. Tax, "Optimisation of quantitative brain diffusion-relaxation MRI acquisition protocols with physics-informed machine learning", Medical Image Analysis, vol. 94, pp. 103134, 2024.
Peña-Nogales, Ó., Y. Zhang, X. Wang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling", Magnetic resonance in medicine, vol. 81, pp. 989–1003, 2019.
Peña-Nogales, Ó., Y. Zhang, X. Wang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling", Magnetic resonance in medicine, 2018.
Abbaspour-Gilandeh, Y., S. Sabzi, and J. I. Arribas, "An Outdoors Multi-stage Fruit-tree Orchard Video Image Segmentation System under Natural Conditions", Journal of Agricultural Sciences, vol. 25, issue 4, 2019.
Niethammer, M., S. Bouix, S. Aja-Fernández, C-F. Westin, and M. E. Shenton, "Outlier rejection for diffusion weighted imaging", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: Springer Berlin Heidelberg, pp. 161–168, 2007.
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Martín-Martínez, D., A. Domingues, P. Casaseca-de-la-Higuera, C. Alberola-Lopez, and M. J Sanches, "PPG Beat Reconstruction Based on Shape Models and Probabilistic Templates for Signals Acquired with Conventional Smartphones", Lecture Notes in Computer Science, vol. 9117: Springer International Publishing, pp. 595–602, 2015.
Brion, V., C. Poupon, O. Riff, S. Aja-Fernández, A. Tristán-Vega, J-F. Mangin, D. Le Bihan, and F. Poupon, "Parallel MRI noise correction: an extension of the LMMSE to non central $\chi$ distributions", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: Springer Berlin Heidelberg, pp. 226–233, 2011.
Martin-Fernandez, M., R. Cárdenes-Almeida, and C. Alberola-Lopez, "Parameter Estimation of the Homodyned K Distribution Based on Signal to Noise Ratio", Ultrasonics Symposium, 2007. IEEE: IEEE, pp. 158–161, 2007.
de Luis-García, R., and C. Alberola-Lopez, "Parametric 3D hip joint segmentation for the diagnosis of developmental dysplasia", Engineering in Medicine and Biology Society, 2006. EMBS'06. 28th Annual International Conference of the IEEE: IEEE, pp. 4807–4810, 2006.
González-Jaime, L., M. Nachtegeal, E. Kerre, G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Parametric Image Restoration Using Consensus: An Application to Nonstationary Noise Filtering", Pattern Recognition and Image Analysis: Springer Berlin Heidelberg, pp. 358–365, 2013.
Gonzalez-Martinez, A., Á. Planchuelo-Gómez, A. Vieira Campos, F. Martínez-Dubarbie, J. Vivancos, and M. De Toledo-Heras, "Perceived quality of life (QOLIE-31-P), depression (NDDI-E), anxiety (GAD-7), and insomnia in patients with epilepsy attended at a refractory epilepsy unit in real-life clinical practice", Neurological Sciences, vol. 43, issue 3, pp. 1955-1964, 2022.
López, J. Trigo, D. García-Azorín, Á. Planchuelo-Gómez, C. García-Iglesias, C. Dueñas-Gutiérrez, and Á. L. Guerrero, "Phenotypic characterization of acute headache attributed to SARS-CoV-2: An ICHD-3 validation study on 106 hospitalized patients", Cephalalgia, vol. 40, pp. 1432-1442, 2020.
de Luis-García, R., R. Deriche, M. Rousson, and C. Alberola-Lopez, "Poster Presentations 2-Pattern Recognition, Image Processing, and Applications-Tensor Processing for Texture and Colour Segmentation", Lecture Notes in Computer Science, vol. 3540: Berlin: Springer-Verlag, 1973-, pp. 1117–1127, 2005.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Probabilistic Tissue Characterization for Ultrasound Images", Insight Journal, 2015.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, M. Martín-Fernández, and C. Alberola-Lopez, "Probabilistic modeling of the oxygen saturation pattern for the detection of anomalies during clinical interventions", Computing in Cardiology Conference (CinC), 2013: IEEE, 2013.
Vegas-Sánchez-Ferrero, G., S. Aja-Fernández, M. Martin-Fernandez, A. F. Frangi, and C. Palencia, "Probabilistic-driven oriented speckle reducing anisotropic diffusion with application to cardiac ultrasonic images", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: Springer Berlin Heidelberg, pp. 518–525, 2010.
Odriozola-González, P., Á. Planchuelo-Gómez, M. Jesús Irurtia, and R. de Luis-García, "Psychological effects of the COVID-19 outbreak and lockdown among students and workers of a Spanish university", Psychiatry Research, vol. 290, pp. 113108, 2020.
Odriozola-González, P., Á. Planchuelo-Gómez, M. Jesús Irurtia, and R. de Luis-García, "Psychological symptoms of the outbreak of the COVID-19 confinement in Spain", Journal of Health Psychology, pp. 1359105320967086, 2020.

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