1 citations · 1 across the 2 of their papers we have counts for
5 papers
A Review of Latent Representation Models in Neuroimaging
C. Vázquez-García, F. J. Martínez-Murcia, F. Segovia Román +1
Neuroimaging data, particularly from techniques like MRI or PET, offer rich but complex information about brain structure and activity. To manage this complexity, latent representa…
Temporal EigenPAC for dyslexia diagnosis
Nicolás Gallego-Molina, Marco Formoso, Andrés Ortiz +2
Electroencephalography signals allow to explore the functional activity of the brain cortex in a non-invasive way. However, the analysis of these signals is not straightforward due…
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis
Marco A. Formoso, Andrés Ortiz, Francisco J. Martínez-Murcia +2
Several methods have been developed to extract information from electroencephalograms (EEG). One of them is Phase-Amplitude Coupling (PAC) which is a type of Cross-Frequency Coupli…
Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images
Juan E. Arco, Andrés Ortiz, Javier Ramírez +7
The outbreak of the COVID-19 (Coronavirus disease 2019) pandemic has changed the world. According to the World Health Organization (WHO), there have been more than 100 million conf…
Statistical Agnostic Mapping: a Framework in Neuroimaging based on Concentration Inequalities
J M Gorriz, SiPBA Group, CAM neuroscience
In the 70s a novel branch of statistics emerged focusing its effort in selecting a function in the pattern recognition problem, which fulfils a definite relationship between the qu…