Imperial College London

DrGuangYang

Faculty of EngineeringDepartment of Bioengineering

Senior Lecturer
 
 
 
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Contact

 

g.yang Website

 
 
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Location

 

229Sir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Zhou:2023:10.1007/s00330-022-08975-1,
author = {Zhou, Z and Gao, Y and Zhang, W and Bo, K and Zhang, N and Wang, H and Wang, R and Du, Z and Firmin, D and Yang, G and Zhang, H and Xu, L},
doi = {10.1007/s00330-022-08975-1},
journal = {EUROPEAN RADIOLOGY},
pages = {678--689},
title = {Artificial intelligence-based full aortic CT angiography imaging with ultra-low-dose contrast medium: a preliminary study},
url = {http://dx.doi.org/10.1007/s00330-022-08975-1},
volume = {33},
year = {2023}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Zhou,Z
AU - Gao,Y
AU - Zhang,W
AU - Bo,K
AU - Zhang,N
AU - Wang,H
AU - Wang,R
AU - Du,Z
AU - Firmin,D
AU - Yang,G
AU - Zhang,H
AU - Xu,L
DO - 10.1007/s00330-022-08975-1
EP - 689
PY - 2023///
SN - 0938-7994
SP - 678
TI - Artificial intelligence-based full aortic CT angiography imaging with ultra-low-dose contrast medium: a preliminary study
T2 - EUROPEAN RADIOLOGY
UR - http://dx.doi.org/10.1007/s00330-022-08975-1
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000820948700003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 33
ER -