20 citations · 25 across the 4 of their papers we have counts for
4 papers
Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images
Juan E. Arco, Andrés Ortiz, Javier Ramírez +1
The ongoing crisis of the COVID-19 (Coronavirus disease 2019) pandemic has changed the world. According to the World Health Organization (WHO), 4 million people have died due to th…
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…
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data
Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi +11
The new coronavirus has caused more than one million deaths and continues to spread rapidly. This virus targets the lungs, causing respiratory distress which can be mild or severe.…
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
Juan E. Arco, A. Ortiz, J. Ramirez +3
Respiratory diseases kill million of people each year. Diagnosis of these pathologies is a manual, time-consuming process that has inter and intra-observer variability, delaying di…