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  1. No Access

    Chapter and Conference Paper

    Frequency Mixup Manipulation Based Unsupervised Domain Adaptation for Brain Disease Identification

    Unsupervised Domain Adaptation (UDA), which transfers the learned knowledge from a labeled source domain to an unlabeled target domain, has been widely utilized in various medical image analysis approaches. Re...

    Yooseung Shin, Junyeong Maeng, Kwanseok Oh, Heung-Il Suk in Pattern Recognition (2023)

  2. No Access

    Chapter and Conference Paper

    A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation

    An increase in signal-to-noise ratio (SNR) and susceptibility-induced contrast at higher field strengths, e.g., 7T, is crucial for medical image analysis by providing better insights for the pathophysiology, diag...

    Jieun Lee, Kwanseok Oh, Dinggang Shen… in Medical Image Computing and Computer Assis… (2022)