Publisher Correction: Learning MRI artefact removal with unpaired data

被引：0
|
作者：
Siyuan Liu
Kim-Han Thung
Liangqiong Qu
Weili Lin
Dinggang Shen
Pew-Thian Yap
机构：
[1] University of North Carolina at Chapel Hill,Department of Radiology and Biomedical Research Imaging Center (BRIC)
来源：
Nature Machine Intelligence | 2021年 / 3卷 / 2期
关键词：
D O I：
10.1038/s42256-021-00300-7
中图分类号：
学科分类号：
摘要：
A Correction to this paper has been published: https://doi.org/10.1038/s42256-021-00300-7.
引用
收藏
页码：181 / 181
相关论文
共 50 条
  • [1] Learning MRI artefact removal with unpaired data
    Liu, Siyuan
    Thung, Kim-Han
    Qu, Liangqiong
    Lin, Weili
    Shen, Dinggang
    Yap, Pew-Thian
    [J]. NATURE MACHINE INTELLIGENCE, 2021, 3 (01) : 60 - 67
  • [2] Learning MRI artefact removal with unpaired data (vol 3, pg 60, 2021)
    Liu, Siyuan
    Thung, Kim-Han
    Qu, Liangqiong
    Lin, Weili
    Shen, Dinggang
    Yap, Pew-Thian
    [J]. NATURE MACHINE INTELLIGENCE, 2021, 3 (02) : 181 - 181
  • [3] DACO: Distortion/artefact correction for diffusion MRI data
    Hsua, Yung-Chin
    Tseng, Wen-Yih Isaac
    [J]. NEUROIMAGE, 2022, 262
  • [4] Shadow Removal with Paired and Unpaired Learning
    Vasluianu, Florin-Alexandru
    Romero, Andres
    Van Gool, Luc
    Timofte, Radu
    [J]. 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2021, 2021, : 826 - 835
  • [5] MRI artefact correction for (hyperthermia) treatment planning
    Pyatykh, S.
    Zheng, L.
    Wehner, C.
    Ehmann, M.
    Fleckenstein, K.
    Wenz, F.
    Hesser, J.
    [J]. STRAHLENTHERAPIE UND ONKOLOGIE, 2010, 186 : 51 - 51
  • [6] Deep learning for 'artefact' removal in infrared spectroscopy
    Guo, Shuxia
    Mayerhoefer, Thomas
    Pahlow, Susanne
    Huebner, Uwe
    Popp, Juergen
    Bocklitz, Thomas
    [J]. ANALYST, 2020, 145 (15) : 5213 - 5220
  • [7] Publisher Correction: Learning by neural reassociation
    Matthew D. Golub
    Patrick T. Sadtler
    Emily R. Oby
    Kristin M. Quick
    Stephen I. Ryu
    Elizabeth C. Tyler-Kabara
    Aaron P. Batista
    Steven M. Chase
    Byron M. Yu
    [J]. Nature Neuroscience, 2018, 21 (8) : 1138 - 1138
  • [8] ARTEFACT REMOVAL APPROACH FOR EPILEPTIC EEG DATA
    Piper, Diana
    Strungaru, Rodica
    Witte, Herbert
    [J]. UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE, 2015, 77 (04): : 213 - 222
  • [9] Publisher Correction: Accuracy and data efficiency in deep learning models of protein expression
    Evangelos-Marios Nikolados
    Arin Wongprommoon
    Oisin Mac Aodha
    Guillaume Cambray
    Diego A. Oyarzún
    [J]. Nature Communications, 14
  • [10] Publisher Correction: Pandemic data challenges
    [J]. Nature Machine Intelligence, 2020, 2 (5) : 289 - 289
12345