Search
Now showing items 1-2 of 2
Automated location of orofacial landmarks to characterize airway morphology in anaesthesia via deep convolutional neural networks
García, F.
; Lee, D.-J.; Mendoza-Garcés, F. J.; Irigoyen-Miró, S.; Legarreta-Olabarrieta, M. J.; García-Gutiérrez, S.; Arostegui, I. (2023-04)
; Lee, D.-J.; Mendoza-Garcés, F. J.; Irigoyen-Miró, S.; Legarreta-Olabarrieta, M. J.; García-Gutiérrez, S.; Arostegui, I. (2023-04)
Background:A reliable anticipation of a difficult airway may notably enhance safety during anaesthesia. In current practice, clinicians use bedside screenings by manual measurements of patients’ morphology.
Objective:To ...
Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques
Hayet-Otero, M.; García, F.; Lee, D.-J.; Martínez-Minaya, J.; España Yandiola, P.P.; Urrutia Landa, I.; Nieves Ermecheo, M.; Quintana, J.M.; Menéndez, R.; Torres, A.; Zalacain Jorge, R.; Arostegui, I. (2023)
; Lee, D.-J.; Martínez-Minaya, J.; España Yandiola, P.P.; Urrutia Landa, I.; Nieves Ermecheo, M.; Quintana, J.M.; Menéndez, R.; Torres, A.; Zalacain Jorge, R.; Arostegui, I. (2023)
With the COVID-19 pandemic having caused unprecedented numbers of infections and deaths, large research efforts have been undertaken to increase our understanding of the disease and the factors which determine diverse ...