Christopher W. G. Redman - researchr alias

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Viewing Publication 1 - 8 from 8

2019

Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and DeliveryAlessio Petrozziello, Christopher W. G. Redman, Aris T. Papageorghiou, Ivan Jordanov, Antoniya Georgieva. access, 7:112026-112036, 2019. [doi]

2018

Deep Learning for Continuous Electronic Fetal Monitoring in LaborAlessio Petrozziello, Ivan Jordanov, Aris T. Papageorghiou, Christopher W. G. Redman, Antoniya Georgieva. embc 2018: 5866-5869 [doi]

2013

Artificial neural networks applied to fetal monitoring in labourAntoniya Georgieva, Stephen J. Payne, Mary Moulden, Christopher W. G. Redman. nca, 22(1):85-93, 2013. [doi]

Feature selection for computerized fetal heart rate analysis using genetic algorithmsLiang Xu, Antoniya Georgieva, Christopher W. G. Redman, Stephen J. Payne. embc 2013: 445-448 [doi]

2012

Highly comparative fetal heart rate analysisBen D. Fulcher, Antoniya Georgieva, Christopher W. G. Redman, Nick S. Jones. embc 2012: 3135-3138 [doi]

Relation of fetal heart rate signals with unassignable baseline to poor neonatal state at birthAntoniya Georgieva, Stephen J. Payne, Mary Moulden, Christopher W. G. Redman. mbec, 50(7):717-725, 2012. [doi]

2011

Computerized intrapartum electronic fetal monitoring: Analysis of the decision to deliver for fetal distressAntoniya Georgieva, Stephen J. Payne, Mary Moulden, Christopher W. G. Redman. embc 2011: 5888-5891 [doi]

2009

Computerised electronic foetal heart rate monitoring in labour: automated contraction identificationAntoniya Georgieva, Stephen J. Payne, Christopher W. G. Redman. mbec, 47(12):1315-1320, 2009. [doi]

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