A/Prof Fiona Brownfoot
Principal Research Fellow - NHMRC
Department of Obstetrics, Gynaecology and Newborn Health
142 Scholarly works
31 Projects
HIGHLIGHTS
2026
Journal article
Safety and pharmacokinetics of sulfasalazine and its metabolite sulfapyridine for treatment of preterm preeclampsia in Australia (SIP): an early phase, unblinded, single-arm, proof of concept clinical trial
DOI: 10.1016/j.eclinm.2026.1037792026
Journal article
Fusing Tabular Features and Deep Learning for Fetal Heart Rate Analysis: A Clinically Interpretable Model for Fetal Compromise Detection
DOI: 10.1109/TBME.2026.36523092025
Journal article
Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis
DOI: 10.1038/s41746-025-01665-42020
Research grants (ARC, NHMRC, MRFF)
Developing New Diagnostics to Prevent Stillbirth
2020
Research Grant
A Novel Device to Continuously Monitor the Fetal Heart Rate to Reduce Stillbirth.
2020
Research Grant
Developing New Diagnostics to Prevent Stillbirth
2012
Journal article
Uterine artery embolisation associated with greater need for reintervention than surgical treatment for symptomatic uterine fibroids; quality of life similar though study underpowered
DOI: 10.1136/ebm.2011.100202
RECENT SCHOLARLY WORKS
2025
Journal article
Consumer insights from a feasibility study on remote and extended use of a novel non-invasive wearable fetal electrocardiogram monitor
DOI: 10.1038/s41746-025-01628-92025
Journal article
Healing the Failing Placenta: A Regenerative Therapy for FGR
DOI: 10.1016/j.placenta.2025.08.2302025
Journal article
Investigating the Impact of Maternal Obesity on Disease Severity in a Mouse Model of Preeclampsia
DOI: 10.3390/nu170915862025
Journal article
Deep learning to predict fetal acidemia
DOI: 10.1016/j.ajog.2024.07.0312025
Journal article
Quantifying Phase Coupling between Fetal Heart Rate and Uterine Contractions
DOI: 10.1109/EMBC58623.2025.112534482025
Journal article
Cross-Database Evaluation of Deep Learning Methods for Intrapartum Cardiotocography Classification
DOI: 10.1109/JTEHM.2025.35484012024
Journal article
Rapid detection of fetal compromise using input length invariant deep learning on fetal heart rate signals
DOI: 10.1038/s41598-024-63108-6
RECENT PROJECTS
2026
Research grants (ARC, NHMRC, MRFF)
Preventing Stillbirths Globally: Artificial Intelligence Decision Support for Fetal Asphyxia Detection in Labour.