Fiona C. Brownfoot - Publications

Fusing Tabular Features and Deep Learning for Fetal Heart Rate Analysis: A Clinically Interpretable Model for Fetal Compromise Detection.

Journal: IEEE transactions on bio-medical engineering

Published: January 12, 2026

Quantifying Phase Coupling between Fetal Heart Rate and Uterine Contractions.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 03, 2025

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.

Journal: EClinicalMedicine

Published: August 06, 2025

Investigating the Impact of Maternal Obesity on Disease Severity in a Mouse Model of Preeclampsia.

Journal: Nutrients

Published: April 01, 2025

Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis.

Journal: NPJ digital medicine

Published: December 30, 2024

Consumer insights from a feasibility study on remote and extended use of a novel non-invasive wearable fetal electrocardiogram monitor.

Journal: NPJ digital medicine

Published: November 27, 2024

Cross-Database Evaluation of Deep Learning Methods for Intrapartum Cardiotocography Classification.

Journal: IEEE journal of translational engineering in health and medicine

Published: August 04, 2024

Deep learning to predict fetal acidemia.

Journal: American journal of obstetrics and gynecology

Published: June 23, 2024

Does metformin prolong pregnancy in preterm pre-eclampsia? A study protocol for a South African, hospital-based double-blind, randomised, placebo-controlled trial.

Journal: BMJ open

Published: June 18, 2024

Editorial: The repercussions of maternal inflammation in pre-eclampsia on fetal health and neurodevelopment.

Journal: Frontiers in immunology

Published: May 17, 2024

The Effect of Fetal Heart Rate Segment Selection on Deep Learning Models for Fetal Compromise Detection.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 12, 2023

Rapid detection of fetal compromise using input length invariant deep learning on fetal heart rate signals.

Journal: Scientific reports

Published: September 09, 2023