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Hee Jung Shin

Researcher at University of Ulsan

Publications -  126
Citations -  2739

Hee Jung Shin is an academic researcher from University of Ulsan. The author has contributed to research in topics: Breast cancer & Mammography. The author has an hindex of 26, co-authored 116 publications receiving 2071 citations. Previous affiliations of Hee Jung Shin include Asan Medical Center.

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Deep learning with domain adaptation for accelerated projection-reconstruction MR.

TL;DR: A novel deep learning approach with domain adaptation is proposed to restore high‐resolution MR images from under‐sampled k‐space data to solve the problem of streaking artifact patterns in magnetic resonance imaging.
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Comparison of mammography, sonography, MRI and clinical examination in patients with locally advanced or inflammatory breast cancer who underwent neoadjuvant chemotherapy

TL;DR: Predictions of response and residual tumour size made on MRI were better correlated with the assessments of responseand residual tumours made upon pathology than were predictions made on the basis of clinical examination, mammography or sonography.
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Papillary lesions of the breast diagnosed at percutaneous sonographically guided biopsy: comparison of sonographic features and biopsy methods.

TL;DR: Vacuum-assisted biopsy was more accurate than core needle biopsy in diagnosing papillary lesions, and both sonographic features and core needleBiopsy were not sufficiently accurate; therefore, surgical excision should be performed for the accurate diagnosis of papillary lesion.
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Automated ultrasound of the breast for diagnosis: interobserver agreement on lesion detection and characterization.

TL;DR: High reliability was obtained for reporting lesion size and location in the review of automated ultrasound images of the breast by five radiologists, and substantial agreement was obtaining for description of key feature and final assessment category.
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Diffusion-weighted MRI for Unenhanced Breast Cancer Screening.

TL;DR: Preliminary studies suggest unenhanced MRI with DW MRI may provide higher sensitivity than screening mammography for the detection of breast malignancies, and an optimal approach for screening using readily available techniques is proposed here.