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Validation of Deep Learning-Based Artifact Correction on Synthetic FLAIR Images in a Different Scanning Environment.
Ryu, Kyeong Hwa; Baek, Hye Jin; Gho, Sung-Min; Ryu, Kanghyun; Kim, Dong-Hyun; Park, Sung Eun; Ha, Ji Young; Cho, Soo Buem; Lee, Joon Sung.
  • Ryu KH; Department of Radiology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon 51472, Korea.
  • Baek HJ; Department of Radiology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon 51472, Korea.
  • Gho SM; Department of Radiology, Institute of Health Sciences, Gyeongsang National University School of Medicine, Jinju 52727, Korea.
  • Ryu K; MR Collaboration & Development, GE Healthcare Korea, Seoul 06060, Korea.
  • Kim DH; Department of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea.
  • Park SE; Department of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea.
  • Ha JY; Department of Radiology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon 51472, Korea.
  • Cho SB; Department of Radiology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon 51472, Korea.
  • Lee JS; Department of Radiology, Ewha Womans University, College of Medicine, Seoul 07804, Korea.
J Clin Med ; 9(2)2020 Jan 29.
Article en En | MEDLINE | ID: mdl-32013069