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All Outputs (2)

Modelling Variations in Newborn Life Support Procedure Using Colored Petri Nets (2022)
Conference Proceeding
Leva, M. C., Patelli, E., Podofillini, L., Wilson, S., Tan, A., Remenyte-Prescott, R., …Sharkey, D. (2022). Modelling Variations in Newborn Life Support Procedure Using Colored Petri Nets. In M. Chiara Leva, E. Patelli, L. Podofillini, & S. Wilson (Eds.), Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022) (489-496). https://doi.org/10.3850/978-981-18-5183-4_R12-08-152-cd

This research is conducted to study variations in the Newborn Life Support procedure. This procedure follows an evidence-based protocol to resuscitate and stabilize newborn babies requiring assistance at birth. Errors and ineffective actions in this... Read More about Modelling Variations in Newborn Life Support Procedure Using Colored Petri Nets.

Small Sample Deep Learning for Newborn Gestational Age Estimation (2017)
Conference Proceeding
Torres Torres, M., Valstar, M. F., Henry, C., Ward, C., & Sharkey, D. (2017). Small Sample Deep Learning for Newborn Gestational Age Estimation. In Proceedings - 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017) (79-86). https://doi.org/10.1109/FG.2017.19

A baby’s gestational age determines whether or not they are preterm, which helps clinicians decide on suitable post-natal treatment. The most accurate dating methods use Ultrasound Scan (USS) machines, but these machines are expensive, require traine... Read More about Small Sample Deep Learning for Newborn Gestational Age Estimation.