Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for A. Ortiz

A. Ortiz
Alert button

Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality


Jan 02, 2023
I. RodrÍguez-RodrÍguez, A. Ortiz, N. J. Gallego-Molina, M. A. Formoso, W. L. Woo

Add code
Alert button

Figure 1 for Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality
Figure 2 for Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality
Figure 3 for Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality
Figure 4 for Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A hypothesis-driven method based on machine learning for neuroimaging data analysis


Feb 17, 2022
JM Gorriz, R. Martin-Clemente, C. G. Puntonet, A. Ortiz, J. Ramirez, J. Suckling

Add code
Alert button

Figure 1 for A hypothesis-driven method based on machine learning for neuroimaging data analysis
Figure 2 for A hypothesis-driven method based on machine learning for neuroimaging data analysis
Figure 3 for A hypothesis-driven method based on machine learning for neuroimaging data analysis
Figure 4 for A hypothesis-driven method based on machine learning for neuroimaging data analysis
* 12 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images


Nov 27, 2020
Juan E. Arco, A. Ortiz, J. Ramirez, F. J. Martinez-Murcia, Yu-Dong Zhang, Juan M. Gorriz

Add code
Alert button

Figure 1 for Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
Figure 2 for Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
Figure 3 for Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
Figure 4 for Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
* 1 Table, 7 Figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia


Feb 06, 2020
F. J. Martinez-Murcia, A. Ortiz, M. Lopez-Zamora, J. L. Luque, A. Giménez

Add code
Alert button

Figure 1 for A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia
Figure 2 for A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia
Figure 3 for A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia
Figure 4 for A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia
* 12 pages, 4 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email