1 citations · 1 across the 3 of their papers we have counts for
5 papers
Can Local Vision-Language Models improve Activity Recognition over Vision Transformers? -- Case Study on Newborn Resuscitation
Enrico Guerriero, Kjersti Engan, Øyvind Meinich-Bache
Accurate documentation of newborn resuscitation is essential for quality improvement and adherence to clinical guidelines, yet remains underutilized in practice. Previous work usin…
Building Trust in Healthcare with Privacy Techniques: Blockchain in the Cloud
Ferhat Ozgur Catak, Chunming Rong, Øyvind Meinich-Bache +2
This study introduces a cutting-edge architecture developed for the NewbornTime project, which uses advanced AI to analyze video data at birth and during newborn resuscitation, wit…
Two-Stream Thermal Imaging Fusion for Enhanced Time of Birth Detection in Neonatal Care
Jorge García-Torres, Øyvind Meinich-Bache, Sara Brunner +3
Around 10% of newborns require some help to initiate breathing, and 5\% need ventilation assistance. Accurate Time of Birth (ToB) documentation is essential for optimizing neonatal…
Object Detection During Newborn Resuscitation Activities
Øyvind Meinich-Bache, Kjersti Engan, Ivar Austvoll +5
Birth asphyxia is a major newborn mortality problem in low-resource countries. International guideline provides treatment recommendations; however, the importance and effect of the…
Activity Recognition From Newborn Resuscitation Videos
Øyvind Meinich-Bache, Simon Lennart Austnes, Kjersti Engan +6
Objective: Birth asphyxia is one of the leading causes of neonatal deaths. A key for survival is performing immediate and continuous quality newborn resuscitation. A dataset of rec…