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Hernán Darío Vargas Cardona
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2020 – today
- 2020
- [j4]Luis Ariosto Serna Cardona
, Hernán Darío Vargas Cardona
Classification of Categorical Data Based on the Chi-Square Dissimilarity and t-SNE. Comput. 8(4): 104 (2020) - [j3]David Alejandro Jimenez Sierra
Graph-Based Data Fusion Applied to: Change Detection and Biomass Estimation in Rice Crops. Remote. Sens. 12(17): 2683 (2020) - [i3]David Alejandro Jimenez Sierra, Hernán Darío Benítez-Restrepo, Hernán Darío Vargas Cardona, Jocelyn Chanussot:
Graph-based fusion for change detection in multi-spectral images. CoRR abs/2004.00786 (2020)
2010 – 2019
- 2019
- [j2]Hernán Darío Vargas Cardona
Tensor decomposition processes for interpolation of diffusion magnetic resonance imaging. Expert Syst. Appl. 118: 92-108 (2019) - 2018
- [j1]Hernán Darío Vargas Cardona, Mauricio A. Álvarez
Multi-task learning for subthalamic nucleus identification in deep brain stimulation. Int. J. Mach. Learn. Cybern. 9(7): 1181-1192 (2018) - [c14]Robinson Aguilar, Hernán Darío Vargas Cardona, Andrés M. Álvarez, Álvaro Á. Orozco, Piedad Navarro:
Automatic Identification of DBS Parameters from the Volume of Tissue Activated (VTA) Using Support Vector Machines. CIARP 2018: 740-747 - [c13]Jhon F. Cuellar-Fierro, Hernán Darío Vargas Cardona, Andrés M. Álvarez, Álvaro Á. Orozco, Mauricio A. Álvarez
Non-stationary Generalized Wishart Processes for Enhancing Resolution over Diffusion Tensor Fields. ISVC 2018: 371-381 - 2017
- [c12]Jhon F. Cuellar-Fierro, Hernán Darío Vargas Cardona, Mauricio A. Álvarez
Non-stationary Multi-output Gaussian Processes for Enhancing Resolution over Diffusion Tensor Fields. CIARP 2017: 168-176 - 2016
- [c11]Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez:
Analysis of the Geometry and Electric Properties of Brain Tissue in Simulation Models for Deep Brain Stimulation. CIARP 2016: 493-501 - [c10]Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez:
Multi-output Gaussian processes for enhancing resolution of diffusion tensor fields. EMBC 2016: 1111-1114 - [i2]Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco:
Generalized Wishart processes for interpolation over diffusion tensor fields. CoRR abs/1606.07968 (2016) - [i1]Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco:
A Tucker decomposition process for probabilistic modeling of diffusion magnetic resonance imaging. CoRR abs/1606.07970 (2016) - 2015
- [c9]Hernán Darío Vargas Cardona, Mauricio A. Álvarez
Convolved Multi-output Gaussian Processes for Semi-Supervised Learning. ICIAP (1) 2015: 109-118 - [c8]José Bestier Padilla, Ramiro Arango, Hernán F. García, Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez
NEURONAV: A Tool for Image-Guided Surgery - Application to Parkinson's Disease. ISVC (1) 2015: 349-358 - [c7]Hernán Darío Vargas Cardona, Mauricio A. Álvarez
Generalized Wishart Processes for Interpolation Over Diffusion Tensor Fields. ISVC (2) 2015: 499-508 - [c6]Hernán Darío Vargas Cardona, Andrés F. López-Lopera, Álvaro Á. Orozco, Mauricio A. Álvarez
Gaussian Processes for Slice-Based Super-Resolution MR Images. ISVC (2) 2015: 692-701 - 2014
- [c5]Hernán Darío Vargas Cardona, Mauricio A. Álvarez
Sparse representation of MER signals for localizing the Subthalamic Nucleus in Parkinson's disease surgery. EMBC 2014: 950-953 - [c4]Hernán Darío Vargas Cardona, Álvaro Orozco, Mauricio A. Álvarez:
Automatic Recognition of Microcalcifications in Mammography Images through Fractal Texture Analysis. ISVC (2) 2014: 841-850 - 2013
- [c3]Hernán Darío Vargas Cardona, Álvaro Ángel Orozco, Mauricio A. Álvarez
Unsupervised learning applied in MER and ECG signals through Gaussians mixtures with the Expectation-Maximization algorithm and Variational Bayesian Inference. EMBC 2013: 4326-4329 - 2012
- [c2]Hernán Darío Vargas Cardona, José Bestier Padilla
NEUROZONE: On-line recognition of brain structures in stereotactic surgery - application to Parkinson's disease. EMBC 2012: 2219-2222 - [c1]Hernán Darío Vargas Cardona, Álvaro Ángel Orozco, Mauricio A. Álvarez
Multi-patient learning increases accuracy for Subthalamic nucleus identification in deep brain stimulation. EMBC 2012: 4341-4344
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