Year: 2021

• Alvarez, L., Colom, M., Morel, J.-D. & Morel, J.-M. (2021). Computing the daily reproduction number of COVID-19 by inverting the renewal equation using a variational technique. Proceedings of the National Academy of Sciences, 118(50) [Online version] [Bibtex]
• Alvarez, L., Monzón López, N. & Morel, J.-M. (2021). Interactive Design of Random Aesthetic Abstract Textures by Composition Principles. Leonardo, 54(2), 179-184 [Online version] [Bibtex]
• Dionysio, C., Wild, D., Pepe, A., Gsaxner, C., Li, J., Alvarez, L. et al (2021). A cloud-based centerline algorithm for Studierfenster. In Deserno, T. M. & Park, B. J. (editors), Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications, pages 201 - 206. SPIE. [Online version] [Bibtex]
• He, Y., Kang, S. H. & Alvarez, L. (2021). Finding the Skeleton of 2D Shape and Contours: Implementation of Hamilton-Jacobi Skeleton. Image Processing On Line, 11, 18-36 [Bibtex]
• Santana Cedrés, D., Monzón López, N. & Alvarez, L. (2021). An Algorithm for 3D Curve Smoothing. Image Processing On Line, 11, 37-55 [Bibtex]

Year: 2020

• Alvarez, L. (2020a). Comparative analysis of the first wave of the COVID-19 pandemic in South Korea, Italy, Spain, France, Germany, the United Kingdom, the USA and the New-York state. medRxiv [Bibtex]
• Alvarez, L. (2020b). An empirical algorithm to forecast the evolution of the number of COVID-19 symptomatic patients after social distancing interventions.. [Bibtex]
• Alvarez, L., Colom, M. & Morel, J.-M. (2020). Removing weekly administrative noise in the daily count of COVID-19 new cases. Application to the computation of Rt. medRxiv [Online version] [Bibtex]
• Boulmezaoud, T. Z., Alvarez, L., Colom, M. & Morel, J.-M. (2020). A Daily Measure of the SARS-CoV-2 Effective Reproduction Number for all Countries. Image Processing On Line, 10, 191-210 [Bibtex]
• Tahoces, P. G., Santana Cedrés, D., Alvarez, L., Alemán Flores, M., Trujillo Pino, A., Cuenca Hernández, C. et al. (2020). Automatic detection of anatomical landmarks of the aorta in CTA images. Medical & Biological Engineering & Computing, 58, 903-919 [Online version] [Bibtex]

Year: 2019

• Alvarez, L., Santana Cedrés, D., Tahoces, P. G. & Carreira, J. M (2019). Aorta Centerline Smoothing and Registration Using Variational Models. In Lellmann, Jan, Burger, Martin, Modersitzki & Jan (editors), Scale Space and Variational Methods in Computer Vision, pages 447-458. Cham : Springer International Publishing. [Bibtex]
• Dagobert, T., Monzón López, N. & Sánchez Pérez, J. (2019). Comparison of Optical Flow Methods under Stereomatching with Short Baselines. Image Processing On Line, 9, 329-359 [Bibtex]
• Santana Cedrés, D., Gómez Déniz, L., Trujillo Pino, A., Alemán-Flores, M., Deriche, R. & Alvarez, L. (2019). Supervised Classification of Fully PolSAR Images Using Active Contour Models. IEEE Geoscience and Remote Sensing Letters, 1-5 [Bibtex]
• Santana Cedrés, D., Gómez Déniz, L., Alvarez, L. & Frery, A. C. (2019). Despeckling PolSAR Images With a Structure Tensor Filter. IEEE Geoscience and Remote Sensing Letters, 1-3 [Bibtex]

Year: 2018

• Alemán-Flores, M., Santana Cedrés, D., Alvarez, L., Trujillo Pino, A., Gómez, L., Tahoces, P. G. et al (2018). Segmentation of the Aorta Using Active Contours with Histogram-Based Descriptors. In Stoyanov, Danail, Taylor, Zeike, Balocco, Simone et al (editors), Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, pages 28-35. Cham : Springer International Publishing. [Bibtex]
• Alvarez, L., González Sánchez, E., Cuenca Hernández, C., Trujillo Pino, A., Tahoces, P. G. & Carreira, J. M. (2018). Ellipse Motion Estimation Using Parametric Snakes. Journal of Mathematical Imaging and Vision [Online version] [Bibtex]
• Tahoces, P. G., Alvarez, L., González, E., Cuenca Hernández, C., Trujillo Pino, A., Santana Cedrés, D. et al. (2018). Automatic estimation of the aortic lumen geometry by ellipse tracking. International Journal of Computer Assisted Radiology and Surgery [Online version] [Bibtex]

Year: 2017

• Alvarez, L (2017). Corner detection using the affine morphological scale space. In SSVM 2017. [Bibtex]
• Alvarez, L., Trujillo Pino, A., Cuenca Hernández, C., González Sánchez, E., Esclarín Monreal, J., Gómez Déniz, L. et al (2017a). Tracking the aortic lumen geometry by optimizing the 3D orientation of its cross-sections. In MICCAI 2017. [Bibtex]
• Alvarez, L., González Sánchez, E., Esclarín Monreal, J., Gómez Déniz, L., Alemán Flores, M., Trujillo Pino, A. et al (2017b). Robust Detection of Circles in the Vessel Contours and Application to Local Probability Density Estimation. In MICCAI CVII-STENT 2017. [Bibtex]
• Gómez Déniz, L., Alvarez, L., Mazorra Manrique de Lara, L. & Frery, A. C. (2017). Fully PolSAR image classification using machine learning techniques and reaction-diffusion systems. Neurocomputing, 255, 52 - 60 [Online version] [Bibtex]
• Santana Cedrés, D., Gómez Déniz, L., Alemán Flores, M., Salgado de la Nuez, A. J., Esclarín Monreal, J., Mazorra Manrique de Lara, L. et al. (2017a). Estimation of the lens distortion model by minimizing a line reprojection error. IEEE Sensors Journal, 17(9), 2848-2855 [Bibtex]
• Santana Cedrés, D., Gómez Déniz, L., Alemán Flores, M., Salgado de la Nuez, A. J., Esclarín Monreal, J., Mazorra Manrique de Lara, L. et al. (2017b). Automatic Correction of Perspective and Optical Distortions. Computer Vision and Image Understanding, 161, 1-10 [Bibtex]

Year: 2016

• Arévalo, M., Escobar, C., Monasse, P., Monzón López, N. & Colom, M (2016). The IPOL Demo System: A Scalable Architecture of Microservices for Reproducible Research. In International Workshop on Reproducible Research in Pattern Recognition, pages 3-16. [Bibtex]
• Monzón López, N., Salgado de la Nuez, A. J. & Sánchez Pérez, J. (2016). Robust Discontinuity Preserving Optical Flow Methods. Image Processing On Line, 6, 165-182 [Bibtex]