Hernán Darío Vargas Cardona
Orcid: 0000-0002-2086-3722
According to our database1,
Hernán Darío Vargas Cardona
authored at least 20 papers
between 2012 and 2020.
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Bibliography
2020
Graph-Based Data Fusion Applied to: Change Detection and Biomass Estimation in Rice Crops.
Remote. Sens., 2020
Comput., 2020
2019
Tensor decomposition processes for interpolation of diffusion magnetic resonance imaging.
Expert Syst. Appl., 2019
2018
Multi-task learning for subthalamic nucleus identification in deep brain stimulation.
Int. J. Mach. Learn. Cybern., 2018
Non-stationary Generalized Wishart Processes for Enhancing Resolution over Diffusion Tensor Fields.
Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018
Automatic Identification of DBS Parameters from the Volume of Tissue Activated (VTA) Using Support Vector Machines.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018
2017
Non-stationary Multi-output Gaussian Processes for Enhancing Resolution over Diffusion Tensor Fields.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017
2016
A Tucker decomposition process for probabilistic modeling of diffusion magnetic resonance imaging.
CoRR, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Analysis of the Geometry and Electric Properties of Brain Tissue in Simulation Models for Deep Brain Stimulation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016
2015
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015
2014
Automatic Recognition of Microcalcifications in Mammography Images through Fractal Texture Analysis.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014
Sparse representation of MER signals for localizing the Subthalamic Nucleus in Parkinson's disease surgery.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Unsupervised learning applied in MER and ECG signals through Gaussians mixtures with the Expectation-Maximization algorithm and Variational Bayesian Inference.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
NEUROZONE: On-line recognition of brain structures in stereotactic surgery - application to Parkinson's disease.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Multi-patient learning increases accuracy for Subthalamic nucleus identification in deep brain stimulation.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012