Corrigendum to “Deep-learning-based workflow for boundary and small target segmentation in digital rock images using UNet++ and IK-EBM” [215 (2022) 110596](S0920410522004715)(10.1016/j.petrol.2022.110596)

Hongsheng Wang; Laura Dalton; Ming Fan; Ruichang Guo; James McClure; Dustin Crandall; Cheng Chen

doi:10.1016/j.petrol.2022.111306

Corrigendum to “Deep-learning-based workflow for boundary and small target segmentation in digital rock images using UNet++ and IK-EBM” [215 (2022) 110596](S0920410522004715)(10.1016/j.petrol.2022.110596)

Hongsheng Wang
, Laura Dalton
, Ming Fan
, Ruichang Guo
, James McClure
, Dustin Crandall
, Cheng Chen

Department of Civil, Environmental and Ocean Engineering

Virginia Polytechnic Institute and State University
North Carolina State University
Oak Ridge National Laboratory
National Energy Technology Laboratory

Research output: Contribution to journal › Comment/debate

3 Scopus citations

Abstract

Corresponding author: Cheng Chen^f ^f Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA. The authors regret: In the published paper, the affiliation for the corresponding author missed the university name (Stevens Institute of Technology). The correct affiliation should be: ^f Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA. The authors would like to apologise for any inconvenience caused.

Original language	English
Article number	111306
Journal	Journal of Petroleum Science and Engineering
Volume	221
DOIs	https://doi.org/10.1016/j.petrol.2022.111306
State	Published - Feb 2023

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1016/j.petrol.2022.111306

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Wang, H., Dalton, L., Fan, M., Guo, R., McClure, J., Crandall, D., & Chen, C. (2023). Corrigendum to “Deep-learning-based workflow for boundary and small target segmentation in digital rock images using UNet++ and IK-EBM” [215 (2022) 110596](S0920410522004715)(10.1016/j.petrol.2022.110596). Journal of Petroleum Science and Engineering, 221, Article 111306. https://doi.org/10.1016/j.petrol.2022.111306

@article{6fcd5d9348d64fc3800c4b2414873695,

title = "Corrigendum to “Deep-learning-based workflow for boundary and small target segmentation in digital rock images using UNet++ and IK-EBM” [215 (2022) 110596](S0920410522004715)(10.1016/j.petrol.2022.110596)",

abstract = "Corresponding author: Cheng Chenf f Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA. The authors regret: In the published paper, the affiliation for the corresponding author missed the university name (Stevens Institute of Technology). The correct affiliation should be: f Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA. The authors would like to apologise for any inconvenience caused.",

author = "Hongsheng Wang and Laura Dalton and Ming Fan and Ruichang Guo and James McClure and Dustin Crandall and Cheng Chen",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.",

year = "2023",

month = feb,

doi = "10.1016/j.petrol.2022.111306",

language = "English",

volume = "221",

}

Wang, H, Dalton, L, Fan, M, Guo, R, McClure, J, Crandall, D & Chen, C 2023, 'Corrigendum to “Deep-learning-based workflow for boundary and small target segmentation in digital rock images using UNet++ and IK-EBM” [215 (2022) 110596](S0920410522004715)(10.1016/j.petrol.2022.110596)', Journal of Petroleum Science and Engineering, vol. 221, 111306. https://doi.org/10.1016/j.petrol.2022.111306

Corrigendum to “Deep-learning-based workflow for boundary and small target segmentation in digital rock images using UNet++ and IK-EBM” [215 (2022) 110596](S0920410522004715)(10.1016/j.petrol.2022.110596). / Wang, Hongsheng; Dalton, Laura; Fan, Ming et al.
In: Journal of Petroleum Science and Engineering, Vol. 221, 111306, 02.2023.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Corrigendum to “Deep-learning-based workflow for boundary and small target segmentation in digital rock images using UNet++ and IK-EBM” [215 (2022) 110596](S0920410522004715)(10.1016/j.petrol.2022.110596)

AU - Wang, Hongsheng

AU - Dalton, Laura

AU - Fan, Ming

AU - Guo, Ruichang

AU - McClure, James

AU - Crandall, Dustin

AU - Chen, Cheng

PY - 2023/2

Y1 - 2023/2

N2 - Corresponding author: Cheng Chenf f Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA. The authors regret: In the published paper, the affiliation for the corresponding author missed the university name (Stevens Institute of Technology). The correct affiliation should be: f Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA. The authors would like to apologise for any inconvenience caused.

AB - Corresponding author: Cheng Chenf f Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA. The authors regret: In the published paper, the affiliation for the corresponding author missed the university name (Stevens Institute of Technology). The correct affiliation should be: f Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ, 07030, USA. The authors would like to apologise for any inconvenience caused.

UR - https://www.scopus.com/pages/publications/85163808069

UR - https://www.scopus.com/pages/publications/85163808069#tab=citedBy

U2 - 10.1016/j.petrol.2022.111306

DO - 10.1016/j.petrol.2022.111306

M3 - Comment/debate

AN - SCOPUS:85163808069

SN - 0920-4105

VL - 221

JO - Journal of Petroleum Science and Engineering

JF - Journal of Petroleum Science and Engineering

M1 - 111306

ER -

Wang H, Dalton L, Fan M, Guo R, McClure J, Crandall D et al. Corrigendum to “Deep-learning-based workflow for boundary and small target segmentation in digital rock images using UNet++ and IK-EBM” [215 (2022) 110596](S0920410522004715)(10.1016/j.petrol.2022.110596). Journal of Petroleum Science and Engineering. 2023 Feb;221:111306. doi: 10.1016/j.petrol.2022.111306

Corrigendum to “Deep-learning-based workflow for boundary and small target segmentation in digital rock images using UNet++ and IK-EBM” [215 (2022) 110596](S0920410522004715)(10.1016/j.petrol.2022.110596)

Abstract

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