Rchr
J-GLOBAL ID:201101085404742746   Update date: Nov. 12, 2024

Yulwan Sung

Yulwan Sung
Research field  (1): Other
Research theme for competitive and other funds  (8):
  • 2021 - 2024 安静時fMRIにおける機能・生理情報分離と生理的fMRI創出可能性についての検討
  • 2019 - 2024 文末助詞の階層における情動計算不全としての自閉症の言語障害
  • 2019 - 2022 Audiovisual spatial attention controlled by self-initiated attention
  • 2017 - 2020 An attempt to make a dynamic functional brain map
  • 2016 - 2019 Estimation of individual emotional intelligence based on new measurements and multiple psychological and brain data
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Papers (30):
  • Yul-Wan Sung, Uk-Su Choi, Seiji Ogawa. Extraction of apparent BOLD components in resting state fMRI signals by a novel method called “BOLD-filter”. Biomedical Signal Processing & Control. 2024. in press
  • Uk-Su Choi, Yul-Wan Sung, Seiji Ogawa. deepPGSegNet: MRI-based pituitary gland segmentation using deep learning. Front Endocrinol. 2024
  • Uk-Su Choi, Yul-Wan Sung, Seiji Ogawa. Effects of physiological signal removal on resting-state functional MRI metrics. Brain Sciences. 2022. 13
  • Eun-Cheon Lim, Uk-Su Choi, Kyu Yeong Choi, Jang Jae Lee, Yul-Wan Sung, Seiji Ogawa, Byeong Chae Kim, Kun Ho Lee, Jungsoo Gim. DeepParcellation:A novel deep learning method for robust brain magnetic resonance imaging parcellation in older East Asians. Frontiers in Aging Neuroscience (in press). 2022
  • Yul-Wan Sung, Sachiko Kiyama, Uk-Su Choi, Seiji Ogawa. Involvement of the intrinsic functional network of the red nucleus in complex behavioral processing. Cerebral Cortex Communications. 2022. 3. 3
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MISC (11):
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