Imperial College London
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Professor Christoph Lees, MD FRCOG

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Professor of Obstetrics
 
 
 
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Contact

 

+44 (0)20 7594 5770c.lees

 
 
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Assistant

 

Ms Hazel Blackman +44 (0)20 7594 2104

 
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Location

 

Queen Charlottes and Chelsea HospitalHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ghi:2022:10.1002/uog.23739,
author = {Ghi, T and Conversano, F and Zegarra, RR and Pisani, P and Dall'Asta, A and Lanzone, A and Lau, W and Vimercati, A and Iliescu, DG and Mappa, I and Rizzo, G and Casciaro, S},
doi = {10.1002/uog.23739},
journal = {ULTRASOUND IN OBSTETRICS & GYNECOLOGY},
pages = {93--99},
title = {Novel artificial intelligence approach for automatic differentiation of fetal occiput anterior and non-occiput anterior positions during labor},
url = {http://dx.doi.org/10.1002/uog.23739},
volume = {59},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AU  - Ghi,T
AU  - Conversano,F
AU  - Zegarra,RR
AU  - Pisani,P
AU  - Dall'Asta,A
AU  - Lanzone,A
AU  - Lau,W
AU  - Vimercati,A
AU  - Iliescu,DG
AU  - Mappa,I
AU  - Rizzo,G
AU  - Casciaro,S
DO  - 10.1002/uog.23739
EP  - 99
PY  - 2022///
SN  - 0960-7692
SP  - 93
TI  - Novel artificial intelligence approach for automatic differentiation of fetal occiput anterior and non-occiput anterior positions during labor
T2  - ULTRASOUND IN OBSTETRICS & GYNECOLOGY
UR  - http://dx.doi.org/10.1002/uog.23739
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000738910200013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL  - 59
ER  -
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