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.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Graph-Based Data Fusion Applied to: Change Detection and Biomass Estimation in Rice Crops.
Remote. Sens., 2020

Graph-based fusion for change detection in multi-spectral images.
CoRR, 2020

Classification of Categorical Data Based on the Chi-Square Dissimilarity and t-SNE.
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

Multi-output Gaussian processes for enhancing resolution of diffusion tensor fields.
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
NEURONAV: A Tool for Image-Guided Surgery - Application to Parkinson's Disease.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Gaussian Processes for Slice-Based Super-Resolution MR Images.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Generalized Wishart Processes for Interpolation Over Diffusion Tensor Fields.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Convolved Multi-output Gaussian Processes for Semi-Supervised Learning.
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


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