Correction to: Artificial intelligence–based full aortic CT angiography imaging with ultra-low-dose contrast medium: a preliminary study (European Radiology, (2022), 33, 1, (678-689), 10.1007/s00330-022-08975-1)

Zhen Zhou; Yifeng Gao; Weiwei Zhang; Kairui Bo; Nan Zhang; Hui Wang; Rui Wang; Zhiqiang Du; David Firmin; Guang Yang; Heye Zhang; Lei Xu

doi:10.1007/s00330-022-09169-5

Correction to: Artificial intelligence–based full aortic CT angiography imaging with ultra-low-dose contrast medium: a preliminary study (European Radiology, (2022), 33, 1, (678-689), 10.1007/s00330-022-08975-1)

Zhen Zhou
, Yifeng Gao
, Weiwei Zhang
, Kairui Bo
, Nan Zhang
, Hui Wang
, Rui Wang
, Zhiqiang Du
, David Firmin
, Guang Yang
, Heye Zhang
, Lei Xu^*

^*此作品的通讯作者

Capital Medical University
Sun Yat-Sen University
Royal Brompton and Harefield NHS Foundation Trust
Imperial College London

科研成果: 期刊稿件 › 评论/辩论

2 引用（Scopus）

摘要

The original version of this article, published on 05 July 2022, unfortunately contained a mistake. The funding information was incomplete and has been corrected to read: “This study has received funding from the National Natural Science Foundation of China (82271986, U1908211), the Capital’s Funds for Health Improvement and Research Foundation of China (2020-1-1052), and the National Key Research and Development Program of China (2016YFC1300300).” The original article has been corrected.

源语言	英语
页（从-至）	742
页数	1
期刊	European Radiology
卷	33
期	1
DOI	https://doi.org/10.1007/s00330-022-09169-5
出版状态	已出版 - 1月 2023
已对外发布	是

访问文件

10.1007/s00330-022-09169-5

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhou, Z., Gao, Y., Zhang, W., Bo, K., Zhang, N., Wang, H., Wang, R., Du, Z., Firmin, D., Yang, G., Zhang, H., & Xu, L. (2023). Correction to: Artificial intelligence–based full aortic CT angiography imaging with ultra-low-dose contrast medium: a preliminary study (European Radiology, (2022), 33, 1, (678-689), 10.1007/s00330-022-08975-1). European Radiology, 33(1), 742. https://doi.org/10.1007/s00330-022-09169-5

@article{13f11e57ae6245efa0c4867cdb9d3965,

title = "Correction to: Artificial intelligence–based full aortic CT angiography imaging with ultra-low-dose contrast medium: a preliminary study (European Radiology, (2022), 33, 1, (678-689), 10.1007/s00330-022-08975-1)",

abstract = "The original version of this article, published on 05 July 2022, unfortunately contained a mistake. The funding information was incomplete and has been corrected to read: “This study has received funding from the National Natural Science Foundation of China (82271986, U1908211), the Capital{\textquoteright}s Funds for Health Improvement and Research Foundation of China (2020-1-1052), and the National Key Research and Development Program of China (2016YFC1300300).” The original article has been corrected.",

author = "Zhen Zhou and Yifeng Gao and Weiwei Zhang and Kairui Bo and Nan Zhang and Hui Wang and Rui Wang and Zhiqiang Du and David Firmin and Guang Yang and Heye Zhang and Lei Xu",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive licence to European Society of Radiology 2022.",

year = "2023",

month = jan,

doi = "10.1007/s00330-022-09169-5",

language = "English",

volume = "33",

pages = "742",

journal = "European Radiology",

issn = "0938-7994",

publisher = "Springer Science and Business Media Deutschland GmbH",

number = "1",

}

Zhou, Z, Gao, Y, Zhang, W, Bo, K, Zhang, N, Wang, H, Wang, R, Du, Z, Firmin, D, Yang, G, Zhang, H & Xu, L 2023, 'Correction to: Artificial intelligence–based full aortic CT angiography imaging with ultra-low-dose contrast medium: a preliminary study (European Radiology, (2022), 33, 1, (678-689), 10.1007/s00330-022-08975-1)', European Radiology, 卷 33, 号码 1, 页码 742. https://doi.org/10.1007/s00330-022-09169-5

TY - JOUR

T1 - Correction to

T2 - Artificial intelligence–based full aortic CT angiography imaging with ultra-low-dose contrast medium: a preliminary study (European Radiology, (2022), 33, 1, (678-689), 10.1007/s00330-022-08975-1)

AU - Zhou, Zhen

AU - Gao, Yifeng

AU - Zhang, Weiwei

AU - Bo, Kairui

AU - Zhang, Nan

AU - Wang, Hui

AU - Wang, Rui

AU - Du, Zhiqiang

AU - Firmin, David

AU - Yang, Guang

AU - Zhang, Heye

AU - Xu, Lei

PY - 2023/1

Y1 - 2023/1

N2 - The original version of this article, published on 05 July 2022, unfortunately contained a mistake. The funding information was incomplete and has been corrected to read: “This study has received funding from the National Natural Science Foundation of China (82271986, U1908211), the Capital’s Funds for Health Improvement and Research Foundation of China (2020-1-1052), and the National Key Research and Development Program of China (2016YFC1300300).” The original article has been corrected.

AB - The original version of this article, published on 05 July 2022, unfortunately contained a mistake. The funding information was incomplete and has been corrected to read: “This study has received funding from the National Natural Science Foundation of China (82271986, U1908211), the Capital’s Funds for Health Improvement and Research Foundation of China (2020-1-1052), and the National Key Research and Development Program of China (2016YFC1300300).” The original article has been corrected.

UR - https://www.scopus.com/pages/publications/85141974863

U2 - 10.1007/s00330-022-09169-5

DO - 10.1007/s00330-022-09169-5

M3 - Comment/debate

C2 - 36380198

AN - SCOPUS:85141974863

SN - 0938-7994

VL - 33

SP - 742

JO - European Radiology

JF - European Radiology

IS - 1

ER -

Correction to: Artificial intelligence–based full aortic CT angiography imaging with ultra-low-dose contrast medium: a preliminary study (European Radiology, (2022), 33, 1, (678-689), 10.1007/s00330-022-08975-1)

摘要

访问文件

其它文件与链接

指纹

引用此