Daniel Santana-Cedrés has received an M.Sc. in Computer Science in October 2011, an M.Sc. in Intelligent Systems and Numerical Applications in Engineering in January 2013, and a Ph.D. in Computer Science in April 2016, all of them from the University of Las Palmas de Gran Canaria. Since 2012, he is a member of the Imaging Technology Center (CTIM). His main research interest areas are Image Processing, Computer Vision, Medical Imaging and Lens Distortion Models Estimation.
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Santana Cedrés, D., Monzón López, N. & Alvarez, L. (2021). An Algorithm for 3D Curve Smoothing. Image Processing On Line, 11, 37-55 [Bibtex]
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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 [Bibtex] [Online version]
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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] [Online version]
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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]
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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]
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