Search Results - "Seok, Junhee"

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  1. 1

    Evidence-based translation for the genomic responses of murine models for the study of human immunity by Seok, Junhee

    Published in PloS one (13-02-2015)
    “…Murine models are an essential tool to study human immune responses and related diseases. However, the use of traditional murine models has been challenged by…”
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    Journal Article
  2. 2

    Simulation acceleration for transmittance of electromagnetic waves in 2D slit arrays using deep learning by Kim, Wonsuk, Seok, Junhee

    Published in Scientific reports (29-06-2020)
    “…When designing new optical devices, many simulations must be conducted to determine the optimal design parameters. Therefore, fast and accurate simulations are…”
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    Journal Article
  3. 3

    Estimation with Uncertainty via Conditional Generative Adversarial Networks by Lee, Minhyeok, Seok, Junhee

    Published in Sensors (Basel, Switzerland) (15-09-2021)
    “…Conventional predictive Artificial Neural Networks (ANNs) commonly employ deterministic weight matrices; therefore, their prediction is a point estimate. Such…”
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  4. 4

    Network estimation for censored time-to-event data for multiple events based on multivariate survival analysis by Kim, Yoojoong, Seok, Junhee

    Published in PloS one (01-10-2020)
    “…In general survival analysis, multiple studies have considered a single failure time corresponding to the time to the event of interest or to the occurrence of…”
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  5. 5

    Controllable Generative Adversarial Network by Lee, Minhyeok, Seok, Junhee

    Published in IEEE access (2019)
    “…Recently introduced generative adversarial networks (GANs) have been shown numerous promising results to generate realistic samples. In the last couple of…”
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    Journal Article
  6. 6

    CTIVA: Censored time interval variable analysis by Kim, Insoo, Seok, Junhee, Kim, Yoojoong

    Published in PloS one (16-11-2023)
    “…Traditionally, datasets with multiple censored time-to-events have not been utilized in multivariate analysis because of their high level of complexity. In…”
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  7. 7

    Grid-wise simulation acceleration of the electromagnetic fields of 2D optical devices using super-resolution by Seo, Jangwon, Kim, Insoo, Seok, Junhee

    Published in Scientific reports (06-03-2023)
    “…The significance of simulation has been increasing in device design due to the cost of real test. The accuracy of the simulation increases as the resolution of…”
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  8. 8

    Simulator acceleration and inverse design of fin field-effect transistors using machine learning by Kim, Insoo, Park, So Jeong, Jeong, Changwook, Shim, Munbo, Kim, Dae Sin, Kim, Gyu-Tae, Seok, Junhee

    Published in Scientific reports (21-01-2022)
    “…The simulation and design of electronic devices such as transistors is vital for the semiconductor industry. Conventionally, a device is intuitively designed…”
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  9. 9

    Score-Guided Generative Adversarial Networks by Lee, Minhyeok, Seok, Junhee

    Published in Axioms (01-12-2022)
    “…We propose a generative adversarial network (GAN) that introduces an evaluator module using pretrained networks. The proposed model, called a score-guided GAN…”
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  10. 10

    The estimation of probability distribution for factor variables with many categorical values by Lee, Minhyeok, Kang, Yeong Seon, Seok, Junhee

    Published in PloS one (24-08-2018)
    “…With recent developments of data technology in biomedicine, factor data such as diagnosis codes and genomic features, which can have tens to hundreds of…”
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  11. 11

    Validation of deep learning natural language processing algorithm for keyword extraction from pathology reports in electronic health records by Kim, Yoojoong, Lee, Jeong Hyeon, Choi, Sunho, Lee, Jeong Moon, Kim, Jong-Ho, Seok, Junhee, Joo, Hyung Joon

    Published in Scientific reports (20-11-2020)
    “…Pathology reports contain the essential data for both clinical and research purposes. However, the extraction of meaningful, qualitative data from the original…”
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  12. 12
  13. 13

    ICEGAN: inverse covariance estimating generative adversarial network by Kim, Insoo, Lee, Minhyeok, Seok, Junhee

    Published in Machine learning: science and technology (01-06-2023)
    “…Abstract Owing to the recent explosive expansion of deep learning, several challenging problems in a variety of fields have been handled by deep learning, yet…”
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  14. 14

    Crisis to Opportunity: The Role of Consumer Awareness in Mergers and Acquisitions (M&As) during the COVID-19 Pandemic by Jang, Hojoon, Seok, Junhee, Kim, Jongdae

    Published in Asia Marketing Journal (Online) (01-04-2024)
    “…In the uncertainty fueled by the COVID-19 pandemic, mergers and acquisitions (M&As) have emerged as key strategic responses by firms. This study explores the…”
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  15. 15

    Prioritizing Disease Diagnosis in Neonatal Cohorts through Multivariate Survival Analysis: A Nonparametric Bayesian Approach by Seo, Jangwon, Seok, Junhee, Kim, Yoojoong

    Published in Healthcare (Basel) (01-05-2024)
    “…Understanding the intricate relationships between diseases is critical for both prevention and recovery. However, there is a lack of suitable methodologies for…”
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  16. 16

    Uncovering the Relationship between ESG Practices and Firm Value: The Role of Reputation and Industry Sensitivity by Kim, Yanghee, Jang, Hojoon, Seok, Junhee

    Published in Asia Marketing Journal (Online) (01-01-2024)
    “…Considering the rising interest in environmental, social, and governance (ESG) globally, various studies have shown that ESG practice increases firm value;…”
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  17. 17

    Deep learning model with L1 penalty for predicting breast cancer metastasis using gene expression data by Kim, Jaeyoon, Lee, Minhyeok, Seok, Junhee

    Published in Machine learning: science and technology (01-06-2023)
    “…Abstract Breast cancer has the highest incidence and death rate among women; moreover, its metastasis to other organs increases the mortality rate. Since…”
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  18. 18

    Clinical significance of urinary exosomal microRNAs in patients with IgA nephropathy by Yoon, Soo-Young, Kim, Jin Sug, Jung, Su Woong, Kim, Yang Gyun, Hwang, Hyeon Seok, Moon, Ju-Young, Lee, Sang-Ho, Seo, Jung-Woo, Seok, Junhee, Tae, Donghyun, Jeong, Kyunghwan

    Published in Scientific reports (11-10-2023)
    “…Immunoglobulin A nephropathy (IgAN) is the most common primary glomerulonephritis worldwide. The clinical relevance of 11 urinary exosomal microRNAs (miRNAs)…”
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  19. 19

    Serum biomarkers from cell-based assays for AhRL and MIS strongly predicted the future development of diabetes in a large community-based prospective study in Korea by Lee, Hong Kyu, Park, Wook Ha, Kang, Young Cheol, Kang, Sora, Im, Suyeol, Park, Sol, Kim, Jin Taek, Lee, Minhyeok, Seok, Junhee, Oh, Man-Suk, Choi, Hoon Sung, Pak, Youngmi Kim

    Published in Scientific reports (14-04-2020)
    “…Exposure to environment-polluting chemicals (EPC) is associated with the development of diabetes. Many EPCs exert toxic effects via aryl hydrocarbon receptor…”
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  20. 20

    Urinary sediment mRNA as a potent biomarker of IgA nephropathy by Kim, Jin Sug, Kim, Geon Woo, Hwang, Hyeon Seok, Kim, Yang Gyun, Moon, Ju-Young, Lee, Sang Ho, Seok, Junhee, Tae, Donghyun, Jeong, Kyung Hwan

    Published in BMC nephrology (08-11-2024)
    “…Abstract Background The quantification of mRNA expression in urinary sediments is a reliable biomarker for various diseases. However, few studies have…”
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