74 citations · 85 across the 3 of their papers we have counts for
3 papers
A hypothesis-driven method based on machine learning for neuroimaging data analysis
JM Gorriz, R. Martin-Clemente, C. G. Puntonet +3
There remains an open question about the usefulness and the interpretation of Machine learning (MLE) approaches for discrimination of spatial patterns of brain images between sampl…
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…
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks
Matthew Leming, Juan Manuel Górriz, John Suckling
Deep learning models for MRI classification face two recurring problems: they are typically limited by low sample size, and are abstracted by their own complexity (the "black box p…