most citedTwo-Stream Thermal Imaging Fusion for Enhanced Time of Birth Detection in Neonatal Care

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2026

FHRFormer: A Self-Supervised Masked Transformer Framework for Fetal Heart Rate Time-Series Inpainting and Forecasting

Kjersti Engan, Neel Kanwal, Anita Yeconia +4

Approximately 10% of newborns require assistance to initiate breathing at birth, and around 5% need ventilation support. Fetal heart rate (FHR) monitoring plays a crucial role in a…

cs.CV2026

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…

cs.CV20261 cited

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…

cs.CR2025

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…

cs.CV2025

AI-Based Thermal Video Analysis in Privacy-Preserving Healthcare: A Case Study on Detecting Time of Birth

Jorge García-Torres, Øyvind Meinich-Bache, Siren Rettedal +1

Approximately 10% of newborns need some assistance to start breathing and 5\% proper ventilation. It is crucial that interventions are initiated as soon as possible after birth. Ac…