2015 (1)
A Gaussian Process Emulator for Estimating the Volume of Tissue Activated During Deep Brain Stimulation. De La Pava, I.; Gómez, V.; Álvarez, M. A; Henao, Ó. A; Daza-Santacoloma, G.; and Orozco, Á. A In Pattern Recognition and Image Analysis, pages 691--699. Springer, 2015.
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  2014 (5)
Deep brain stimulation modeling for several anatomical and electrical considerations. Torres-Valencia, C. A.; Santacoloma, G. D.; López, M. A. Á.; and Gutiérrez, A. A. O. ITECKNE: Innovación e Investigación en Ingenier\́ia, 11(2): 140--148. 2014.
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Electric propagation modeling of deep brain stimulation (DBS) using the finite element method (FEM). Torres-Valencia, C.; Daza-Santacoloma, G.; Orozco-Gutierrez, A.; and others In Image, Signal Processing and Artificial Vision (STSIVA), 2014 XIX Symposium on, pages 1--5, 2014. IEEE
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Comparison of preprocessing methods for diffusion tensor estimation in brain imaging. Lopez Lopera, A. F.; Vargas Cardona, H. D.; Daza-Santacoloma, G.; Alvarez, M.; Orozco, A.; and others In Image, Signal Processing and Artificial Vision (STSIVA), 2014 XIX Symposium on, pages 1--5, 2014. IEEE
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A latent force model for describing electric propagation in deep brain stimulation: A simulation study. Alvarado, P.; Alvarez, M.; Daza-Santacoloma, G.; Orozco, A.; Castellanos-Dominguez, G.; and others In Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, pages 2617--2620, 2014. IEEE
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Volume of Tissue Activated in Patients with Parkinson’s Disease from West-Center Region of Colombia Treated with Deep Brain Stimulation. Cardona, H. D. V.; Álvarez, M. A; Daza, G.; Guijarro, E.; and Orozco, Á. In XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, pages 182--185, 2014. Springer
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  2012 (2)
Human Activity Recognition by Class Label LLE. Valencia-Aguirre, J.; Álvarez-Meza, A. M; Daza-Santacoloma, G.; Acosta-Medina, C. D.; and Castellanos-Dom\́inguez, G. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, pages 260--267. Springer, 2012.
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Kernel based hand gesture recognition using kinect sensor. Ram\́irez-Giraldo, D.; Molina-Giraldo, S.; Álvarez-Meza, A. M; Daza-Santacoloma, G.; and Castellanos-Dom\́inguez, G. In Image, Signal Processing, and Artificial Vision (STSIVA), 2012 XVII Symposium of, pages 158--161, 2012. IEEE
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