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Relationship between Global DNA Hypomethylation and Gastric Carcinogenesis

Jo HR, Jang YW, Na YH, Kim HJ, Lee DG, Kim GJ, Dong SH, Kim BH, Lee JI, Jang R

  • KMID: 1572035
  • Korean J Gastroenterol.
  • 2000 Dec;36(6):736-744.
No Abstract Available.
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Deep Learning in Medical Imaging

Kim M, Yun J, Cho Y, Shin K, Jang R, Bae Hj, Kim N

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Spontaneous Submucosal Dissection of the Esophagus: A case report

Choi SC, Lee JI, Kim WS, Ryu MS, Dong SH, Kim HJ, Kim BH, Jang YW, Jang R, Lee JY, Kim SC, Park JC

  • KMID: 2084125
  • Korean J Gastrointest Endosc.
  • 1998 Apr;18(2):202-210.
A 55-year-old male was admitted to our hospital complaining of chest discomfort, dysphagia and severe pain on swallowing. Esophageal manometry identified the lower esophageal sphincter as having no response to...
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Deep Learning in Medical Imaging

Kim M, Yun J, Cho Y, Shin K, Jang R, Bae HJ, Kim N

The artificial neural network (ANN), one of the machine learning (ML) algorithms, inspired by the human brain system, was developed by connecting layers with artificial neurons. However, due to the...
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The Effects of a Mobile Computerized System for Individual Tailored Home Care Services in a City

Park NH, Jang R, Kim JY, Kim MS

PURPOSE: The aim of this study was to evaluate the process and outcome of a mobile computerized system for individual home visiting healthcare. METHODS: A nonequivalent control group non-synchronized design was...
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Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease

Hwang HJ, Kim H, Seo JB, Ye JC, Oh G, Lee SM, Jang R, Yun J, Kim N, Park HJ, Lee HY, Yoon SH, Shin KE, Lee JW, Kwon W, Sun JS, You S, Chung MH, Gil BM, Lim JK, Lee Y, Hong SJ, Choi YW

Objective: To assess whether computed tomography (CT) conversion across different scan parameters and manufacturers using a routable generative adversarial network (RouteGAN) can improve the accuracy and variability in quantifying interstitial...
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