José Francisco Sigut Saavedra

 

Associate Professor
Department of Computer Science
University of La Laguna, Tenerife, Spain
Office: 48, 5th floor, Faculty of Physics
Phone: +34 922318263
Email: s…@isaatc.ull.es

 

 

Selected publications

[1]
E. Medina-Mesa, M. Gonzalez-Hernandez, J. Sigut, F. Fumero-Batista, C. Pena-Betancor, S. Alayon, and M. G. de la Rosa, “Estimating the Amount of Hemoglobin in the Neuroretinal Rim Using Color Images and OCT,” Current Eye Research, vol. 0, no. 0, pp. 1–8, Sep. 2015 [Online]. Available: http://dx.doi.org/10.3109/02713683.2015.1062112. [Accessed: 09-Nov-2015]
[1]
F. Fumero, J. Sigut, S. Alayon, M. González-Hernández, and M. González de la Rosa, “Interactive Tool and Database for Optic Disc and Cup Segmentation of Stereo and Monocular Retinal Fundus Images,” in Short Papers Proceedings - WSCG 2015, Pilsen, Czech Republic, 2015, pp. 91–97 [Online]. Available: http://wscg.zcu.cz/DL/wscg_DL.htm
[1]
J. Sigut, F. Fumero, and O. Núñez, “Over- and Under-Segmentation Evaluation based on the Segmentation Covering Measure,” in Short papers proceedings, Plzen, Czech Republic, 2015, pp. 83 – 89 [Online]. Available: http://wscg.zcu.cz/DL/wscg_DL.htm
[1]
C. Pena-Betancor, M. Gonzalez-Hernandez, F. Fumero-Batista, J. Sigut, E. Medina-Mesa, S. Alayon, and M. G. de la Rosa, “Estimation of the Relative Amount of Hemoglobin in the Cup and Neuroretinal Rim Using Stereoscopic Color Fundus Images,” IOVS, vol. 56, no. 3, pp. 1562–1568, 2015 [Online]. Available: http://www.iovs.org/content/56/3/1562
[1]
J. Sigut, F. Fumero, O. Nuñez, and M. Sigut, “Automatic marker generation for watershed segmentation of natural images,” Electronics Letters, vol. 50, no. 18, pp. 1281–1283, Aug. 2014 [Online]. Available: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6888562
[1]
M. P. Bambo, E. Garcia-Martin, S. Perez-Olivan, J. Sigut, F. Fumero, J. L. Fuentes, J. R. Ara, J. Martin, J. M. Larrosa, and M. Gonzalez-De la Rosa, “Diagnostic ability of a new method for measuring haemoglobin levels in the optic nerve head in multiple sclerosis patients,” Br J Ophthalmol, vol. 97, no. 12, pp. 1543–1548, Dec. 2013 [Online]. Available: http://www.ncbi.nlm.nih.gov/pubmed/24081502
[1]
C. Merino-Gracia, M. Mirmehdi, J. Sigut, and J. L. González-Mora, “Fast perspective recovery of text in natural scenes,” Image and Vision Computing, vol. 31, no. 10, pp. 714–724, Oct. 2013 [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0262885613001066. [Accessed: 30-Sep-2014]
[1]
S. Alayon, M. Gonzalez de la Rosa, F. J. Fumero, J. F. Sigut Saavedra, and J. L. Sanchez, “Variability between experts in defining the edge and area of the optic nerve head,” Archivos de la Sociedad Española de Oftalmología (English Edition), vol. 88, no. 5, pp. 168–173, May 2013 [Online]. Available: http://www.sciencedirect.com/science/article/pii/S2173579413000765
[1]
M. Gonzalez de la Rosa, M. Gonzalez-Hernandez, J. Sigut, S. Alayon, N. Radcliffe, C. Mendez-Hernandez, J. García-Feijoo, I. Fuertes-Lazaro, S. Perez-Olivan, and A. Ferreras, “Measuring hemoglobin levels in the optic nerve head: comparisons with other structural and functional parameters of glaucoma,” Invest. Ophthalmol. Vis. Sci., vol. 54, no. 1, pp. 482–489, Jan. 2013 [Online]. Available: http://www.ncbi.nlm.nih.gov/pubmed/23221075
[1]
F. Fumero, S. Alayon, J. L. Sanchez, J. Sigut, and M. Gonzalez-Hernandez, “RIM-ONE: An open retinal image database for optic nerve evaluation,” in 2011 24th International Symposium on Computer-Based Medical Systems (CBMS), 2011, pp. 1–6 [Online]. Available: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5999143&tag=1
[1]
J. Sigut and S.-A. Sidha, “Iris Center Corneal Reflection Method for Gaze Tracking Using Visible Light,” IEEE Transactions on Biomedical Engineering, vol. 58, no. 2, pp. 411–419, Feb. 2011 [Online]. Available: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5601753
[1]
M. Zorman, P. Kokol, M. Lenic, J. L. Sanchez de la Rosa, J. F. Sigut, and S. Alayon, “Symbol-Based Machine Learning Approach for Supervised Segmentation of Follicular Lymphoma Images,” in Twentieth IEEE International Symposium on Computer-Based Medical Systems, 2007. CBMS ’07, 2007, pp. 115–120.
[1]
J. Sigut, J. Piñeiro, E. González, and J. Torres, “An expert system for supervised classifier design: Application to Alzheimer diagnosis,” Expert Systems with Applications, vol. 32, no. 3, pp. 927–938, Apr. 2007 [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0957417406000492. [Accessed: 30-Sep-2014]
[1]
S. Alayón, J. I. Estévez, J. Sigut, J. L. Sánchez, and P. Toledo, “An evolutionary Michigan recurrent fuzzy system for nuclei classification in cytological images using nuclear chromatin distribution,” Journal of Biomedical Informatics, vol. 39, no. 6, pp. 573–588, Dec. 2006 [Online]. Available: http://www.sciencedirect.com/science/article/pii/S153204640600044X. [Accessed: 30-Sep-2014]
[1]
J. Sigut, J. Piñeiro, J. Estévez, and P. Toledo, “A neural network approach to normality testing,” Intelligent Data Analysis, vol. 10, no. 6, pp. 509–519, Jan. 2006 [Online]. Available: http://iospress.metapress.com/content/26EUG6VP345U1E28. [Accessed: 30-Sep-2014]
[1]
P. Povalej, M. Verlic, P. Kokol, J. L. Sanchez, and J. F. Sigut, “Identifying Lymphoma in Microscopy Images with Classificational Cellular Automata,” in 19th IEEE International Symposium on Computer-Based Medical Systems, 2006. CBMS 2006, 2006, pp. 309–314.
[1]
J. Estévez, S. Alayón, L. Moreno, J. Sigut, and R. Aguilar, “Cytological image analysis with a genetic fuzzy finite state machine,” Computer Methods and Programs in Biomedicine, vol. 80, Supplement 1, pp. S3–S15, Dec. 2005 [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0169260705800021. [Accessed: 30-Sep-2014]
[1]
J. Sigut, J. Demetrio, L. Moreno, J. Estevez, R. Aguilar, and S. Alayon, “An asymptotically optimal detector for Gaussianity testing,” IEEE Transactions on Signal Processing, vol. 53, no. 11, pp. 4186–4193, Nov. 2005.
[1]
J. Sigut, J. Piñeiro, L. Moreno, J. Estevez, R. Aguilar, and R. Marichal, “A large deviation approach to normality testing,” Computational Statistics & Data Analysis, vol. 49, no. 3, pp. 741–756, Jun. 2005 [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0167947304001720. [Accessed: 30-Sep-2014]
[1]
L. Moreno, J. L. Sánchez, S. Mañas, J. D. Piñeiro, J. J. Merino, J. Sigut, R. M. Aguilar, J. I. Estévez, and R. Marichal, “Tools for acquisition, processing and knowledge-based diagnostic of the electroencephalogram and visual evoked potentials,” J Med Syst, vol. 25, no. 3, pp. 177–194, Jun. 2001.
[1]
L. Moreno, J. I. Estévez, R. M. Aguilar, J. Sigut, and C. González, “Exploiting the advantages of symbolically interpretable continuous biomedical parameters with a fuzzyfied symbolic model,” Artificial Intelligence in Medicine, vol. 21, no. 1–3, pp. 253–262, Jan. 2001 [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0933365700000944. [Accessed: 30-Sep-2014]
[1]
L. Moreno, J. I. Estévez, R. M. Aguilar, J. L. Sánchez, J. Sigut, J. D. Piñeiro, and R. Marichal, “Automatic analysis of signals with symbolic content,” Artificial Intelligence in Medicine, vol. 18, no. 3, pp. 245–265, Mar. 2000 [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0933365799000433. [Accessed: 30-Sep-2014]

Curriculum Vitae: CVN30092014english.pdf

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