Publications

Revisiting the Value of Admission Cardiotocography in Term Pregnancies: An Updated Systematic Review and Meta-Analysis.

Tome M. et al, (2026), BJOG : an international journal of obstetrics and gynaecology, 133, 375 - 390

Intersectional dynamics and care disparities in intrapartum electronic fetal monitoring: a socio-technical systems perspective.

Gutiérrez VB. et al, (2025), BMC pregnancy and childbirth, 25

Advancements in Fetal Heart Rate Monitoring: A Report on Opportunities and Strategic Initiatives for Better Intrapartum Care.

Lovers A. et al, (2025), BJOG : an international journal of obstetrics and gynaecology, 132, 853 - 866

A deep learning method for locating fetal heart rate decelerations during labour using crowd-sourced data

Tolladay J. et al, (2024), Expert Systems with Applications, 255

The peripheral chemoreflex and fetal defenses against intrapartum hypoxic-ischemic brain injury at term gestation.

Lear CA. et al, (2024), Seminars in fetal & neonatal medicine, 29

Exploring the potential cost-effectiveness of a new computerised decision support tool for identifying fetal compromise during monitored term labours: an early health economic model.

Campbell HE. et al, (2024), Cost effectiveness and resource allocation : C/E, 22

AI-driven decision support systems and epistemic reliance: a qualitative study on obstetricians' and midwives' perspectives on integrating AI-driven CTG into clinical decision making.

Dlugatch R. et al, (2024), BMC medical ethics, 25

Gated Self Attention Convolutional Neural Networks for Predicting Adverse Birth Outcomes

Asfaw D. et al, (2024), Proceedings - 2024 16th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2024, 259 - 266

Fetal heart rate responses in chronic hypoxaemia with superimposed repeated hypoxaemia consistent with early labour: a controlled study in fetal sheep.

Lear CA. et al, (2023), BJOG : an international journal of obstetrics and gynaecology, 130, 881 - 890

Multimodal Deep Learning for Predicting Adverse Birth Outcomes Based on Early Labour Data.

Asfaw D. et al, (2023), Bioengineering (Basel, Switzerland), 10

Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care.

Dlugatch R. et al, (2023), BMC medical ethics, 24

Prediction of Fetal Blood Pressure during Labour with Deep Learning Techniques.

Tolladay J. et al, (2023), Bioengineering (Basel, Switzerland), 10

Predelivery placenta-associated biomarkers and computerized intrapartum fetal heart rate patterns.

Bowe S. et al, (2023), AJOG global reports, 3

Fetal Heart Rate Classification with Convolutional Neural Networks and the Effect of Gap Imputation on Their Performance

Asfaw D. et al, (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13810 LNCS, 459 - 469

Cardiotocography and Clinical Risk Factors in Early Term Labor: A Retrospective Cohort Study Using Computerized Analysis With Oxford System.

Lovers AAK. et al, (2022), Frontiers in pediatrics, 10

Editorial: Fetal-maternal monitoring in the age of artificial intelligence and computer-aided decision support: A multidisciplinary perspective.

Georgieva A. et al, (2022), Frontiers in pediatrics, 10

The association between placenta-associated circulating biomarkers and composite adverse delivery outcome of a likely placental cause in healthy post-date pregnancies.

Bowe S. et al, (2021), Acta obstetricia et gynecologica Scandinavica, 100, 1893 - 1901

Deceleration area and capacity during labour-like umbilical cord occlusions identify evolving hypotension: a controlled study in fetal sheep.

Georgieva A. et al, (2021), BJOG : an international journal of obstetrics and gynaecology, 128, 1433 - 1442

Multimodal convolutional neural networks to detect fetal compromise during labor and delivery

(2019), IEEE Access

Computer-based intrapartum fetal monitoring and beyond: A review of the 2nd Workshop on Signal Processing and Monitoring in Labor (October 2017, Oxford, UK).

Georgieva A. et al, (2019), Acta obstetricia et gynecologica Scandinavica, 98, 1207 - 1217

Cookies on this website

Search results (53)