Imperial College London

DR BERNHARD KAINZ

Faculty of EngineeringDepartment of Computing

Reader in Medical Image Computing
 
 
 
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Contact

 

+44 (0)20 7594 8349b.kainz Website CV

 
 
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Location

 

372Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Day:2023:10.1002/pd.6287,
author = {Day, TG and Kainz, B and Razavi, R and Simpson, J},
doi = {10.1002/pd.6287},
journal = {PRENATAL DIAGNOSIS},
pages = {400--401},
title = {RE: Wang et al. Diagnosis of fetal total anomalous pulmonary venous connection based on the post-left atrium space ratio using artificial intelligence},
url = {http://dx.doi.org/10.1002/pd.6287},
volume = {43},
year = {2023}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Day,TG
AU - Kainz,B
AU - Razavi,R
AU - Simpson,J
DO - 10.1002/pd.6287
EP - 401
PY - 2023///
SN - 0197-3851
SP - 400
TI - RE: Wang et al. Diagnosis of fetal total anomalous pulmonary venous connection based on the post-left atrium space ratio using artificial intelligence
T2 - PRENATAL DIAGNOSIS
UR - http://dx.doi.org/10.1002/pd.6287
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000925600400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 43
ER -