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Jae Seok Bae

As seen in: Nature, PLOS ONE
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Articles by Jae Seok Bae

Optimized treatment parameter by computer simulation for high-intensity focused ultrasound treatment of uterine adenomyosis: Short-term and long-term results

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By Jae Seok Bae, Hyun Hoon Chung, Maria Lee, Jae Lee
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Bae JS, Lee JY, Chung HH, Lee M, Jeon MJ, Kim H, et al. (2024) Optimized treatment parameter by computer simulation for high-intensity focused ultrasound treatment of uterine adenomyosis: Short-term and long-term results. PLoS ONE 19(3): e0301193.
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Enhancing diagnostic precision in liver lesion analysis using a deep learning-based system: opportunities and challenges - Nature Reviews Clinical Oncology

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By Jeong Min Lee, Jae Seok Bae
| Nature Verified
A recent study reported the development and validation of the Liver Artificial Intelligence Diagnosis System (LiAIDS), a fully automated system that integrates deep learning for the diagnosis of liver lesions on the basis of contrast-enhanced CT scans and clinical information. This tool improved diagnostic precision, surpassed the accuracy of junior radiologists (and equalled that of senior radiologists) and streamlined patient triage.
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Diagnostic accuracy of gadoxetic acid-enhanced MR for small hypervascular hepatocellular carcinoma and the concordance rate of Liver Imaging Reporting and Data System (LI-RADS)

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By Jung Hoon Kim, Mi Yu, Dong Ho Lee, Jae Seok Bae
| PLOS
C-arm CT performed during trans-arterial chemoembolization (TACE) allows the detection of hypervascular tumor with high spatial resolution with a thin slice thickness [ 10 ]. In addition, the intra-arterial bolus injection of contrast medium for C-arm CT leads to better contrast-to-noise ratio, especially for hypervascular HCC, than that of CT and MRI [ 11 , 12 ]. According to previously published reports, C-arm CT has been shown to have sufficient image quality for detecting HCCs [ 13 – 15 ].
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