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Antoniya Georgieva

Showing results (1-10 of 29) with videos related to

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IEEE Transactions on Neural Networks|May 29, 2007
Neural network learning with global heuristic searchIvan Jordanov, Antoniya Georgieva
IEEE Transactions on Neural Networks|March 11, 2009
Intelligent visual recognition and classification of cork tiles with neural networksAntoniya Georgieva, Ivan Jordanov
BMC Medical Ethics|June 20, 2023
Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum careRachel Dlugatch, Antoniya Georgieva, Angeliki Kerasidou
BMC Medical Ethics|January 6, 2024
AI-driven decision support systems and epistemic reliance: a qualitative study on obstetricians' and midwives' perspectives on integrating AI-driven CTG into clinical decision makingRachel Dlugatch, Antoniya Georgieva, Angeliki Kerasidou
American Journal of Obstetrics and Gynecology|July 31, 2024
Deep learning to predict fetal acidemiaEmerson Keenan, Antoniya Georgieva, Fiona C Brownfoot
European Journal of Obstetrics, Gynecology, and Reproductive Biology|February 5, 2013
Umbilical cord gases in relation to the neonatal condition: the EveREst plotAntoniya Georgieva, Mary Moulden, Christopher W G Redman
Frontiers in Pediatrics|April 4, 2022
Cardiotocography and Clinical Risk Factors in Early Term Labor: A Retrospective Cohort Study Using Computerized Analysis With Oxford SystemAimée A K Lovers, Austin Ugwumadu, Antoniya Georgieva
Frontiers in Pediatrics|September 22, 2022
Editorial: Fetal-maternal monitoring in the age of artificial intelligence and computer-aided decision support: A multidisciplinary perspectiveAntoniya Georgieva, Patrice Abry, Ines Nunes, et al.
Acta Obstetricia Et Gynecologica Scandinavica|April 4, 2017
Computerized data-driven interpretation of the intrapartum cardiotocogram: a cohort studyAntoniya Georgieva, Christopher W G Redman, Aris T Papageorghiou
Physiological Measurement|May 24, 2014
Feature selection using genetic algorithms for fetal heart rate analysisLiang Xu, Christopher W G Redman, Stephen J Payne, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Neural Networks|May 29, 2007
Neural network learning with global heuristic searchIvan Jordanov, Antoniya Georgieva
IEEE Transactions on Neural Networks|March 11, 2009
Intelligent visual recognition and classification of cork tiles with neural networksAntoniya Georgieva, Ivan Jordanov
BMC Medical Ethics|June 20, 2023
Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum careRachel Dlugatch, Antoniya Georgieva, Angeliki Kerasidou
BMC Medical Ethics|January 6, 2024
AI-driven decision support systems and epistemic reliance: a qualitative study on obstetricians' and midwives' perspectives on integrating AI-driven CTG into clinical decision makingRachel Dlugatch, Antoniya Georgieva, Angeliki Kerasidou
American Journal of Obstetrics and Gynecology|July 31, 2024
Deep learning to predict fetal acidemiaEmerson Keenan, Antoniya Georgieva, Fiona C Brownfoot
European Journal of Obstetrics, Gynecology, and Reproductive Biology|February 5, 2013
Umbilical cord gases in relation to the neonatal condition: the EveREst plotAntoniya Georgieva, Mary Moulden, Christopher W G Redman
Frontiers in Pediatrics|April 4, 2022
Cardiotocography and Clinical Risk Factors in Early Term Labor: A Retrospective Cohort Study Using Computerized Analysis With Oxford SystemAimée A K Lovers, Austin Ugwumadu, Antoniya Georgieva
Frontiers in Pediatrics|September 22, 2022
Editorial: Fetal-maternal monitoring in the age of artificial intelligence and computer-aided decision support: A multidisciplinary perspectiveAntoniya Georgieva, Patrice Abry, Ines Nunes, et al.
Acta Obstetricia Et Gynecologica Scandinavica|April 4, 2017
Computerized data-driven interpretation of the intrapartum cardiotocogram: a cohort studyAntoniya Georgieva, Christopher W G Redman, Aris T Papageorghiou
Physiological Measurement|May 24, 2014
Feature selection using genetic algorithms for fetal heart rate analysisLiang Xu, Christopher W G Redman, Stephen J Payne, et al.
Pageof 3