TY - JOUR
T1 - Correction to
T2 - COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data (European Radiology, (2022), 32, 7, (4446-4456), 10.1007/s00330-022-08588-8)
AU - Cheng, Jianhong
AU - Sollee, John
AU - Hsieh, Celina
AU - Yue, Hailin
AU - Vandal, Nicholas
AU - Shanahan, Justin
AU - Choi, Ji Whae
AU - Tran, Thi My Linh
AU - Halsey, Kasey
AU - Iheanacho, Franklin
AU - Warren, James
AU - Ahmed, Abdullah
AU - Eickhoff, Carsten
AU - Feldman, Michael
AU - Barbosa, Eduardo Mortani
AU - Kamel, Ihab
AU - Lin, Cheng Ting
AU - Yi, Thomas
AU - Healey, Terrance
AU - Zhang, Paul
AU - Wu, Jing
AU - Atalay, Michael
AU - Bai, Harrison X.
AU - Jiao, Zhicheng
AU - Wang, Jianxin
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to European Society of Radiology.
PY - 2022/7
Y1 - 2022/7
N2 - The original version of this article, published on 19 February 2022, unfortunately contained a mistake. The following correction has therefore been made in the original: the affiliation “School of Computer Science and Engineering, Central South University of Technology, 932 Lushan S Rd, Yuelu District, Changsha, Hunan, China” has been corrected to “Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, 932 Lushan S Rd, Yuelu District, Changsha, Hunan, China”. The original article has been corrected.
AB - The original version of this article, published on 19 February 2022, unfortunately contained a mistake. The following correction has therefore been made in the original: the affiliation “School of Computer Science and Engineering, Central South University of Technology, 932 Lushan S Rd, Yuelu District, Changsha, Hunan, China” has been corrected to “Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, 932 Lushan S Rd, Yuelu District, Changsha, Hunan, China”. The original article has been corrected.
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U2 - 10.1007/s00330-022-08680-z
DO - 10.1007/s00330-022-08680-z
M3 - Comment/debate
C2 - 35320415
AN - SCOPUS:85126861503
SN - 0938-7994
VL - 32
SP - 5034
JO - European Radiology
JF - European Radiology
IS - 7
ER -