Search Results - "Kyung Eun Kim"

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  1. 1

    Preoperative Prediction of Central Lymph Node Metastasis in Thyroid Papillary Microcarcinoma Using Clinicopathologic and Sonographic Features by Kim, Kyung-Eun, Kim, Eun-Kyung, Yoon, Jung Hyun, Han, Kyung Hwa, Moon, Hee Jung, Kwak, Jin Young

    Published in World journal of surgery (01-02-2013)
    “…Background The purpose of the present study was to evaluate the clinicopathologic factors and ultrasound (US) features predictive of central lymph node…”
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    Journal Article
  2. 2

    Electric vehicles and smart grid interaction: A review on vehicle to grid and renewable energy sources integration by Mwasilu, Francis, Justo, Jackson John, Kim, Eun-Kyung, Do, Ton Duc, Jung, Jin-Woo

    Published in Renewable & sustainable energy reviews (01-06-2014)
    “…This paper presents a comprehensive review and assessment of the latest research and advancement of electric vehicles (EVs) interaction with smart grid…”
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  3. 3

    Citrus peel as a renewable bioresource: Transforming waste to food additives by Wedamulla, Nishala Erandi, Fan, Meiqi, Choi, Young-Jin, Kim, Eun-Kyung

    Published in Journal of functional foods (01-08-2022)
    “…[Display omitted] •Insight into various compounds of citrus peel.•The potential conversion of citrus by-products into economically valuable products.•Focus on…”
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  4. 4

    Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study by Kim, Hyo-Eun, Kim, Hak Hee, Han, Boo-Kyung, Kim, Ki Hwan, Han, Kyunghwa, Nam, Hyeonseob, Lee, Eun Hye, Kim, Eun-Kyung

    Published in The Lancet. Digital health (01-03-2020)
    “…Mammography is the current standard for breast cancer screening. This study aimed to develop an artificial intelligence (AI) algorithm for diagnosis of breast…”
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  5. 5

    Thyroid Imaging Reporting and Data System for US Features of Nodules: A Step in Establishing Better Stratification of Cancer Risk by JIN YOUNG KWAK, KYUNG HWA HAN, JUNG HYUN YOON, HEE JUNG MOON, EUN JU SON, SO HEE PARK, HYUN KYUNG JUNG, JI SOO CHOI, BO MI KIM, KIM, Eun-Kyung

    Published in Radiology (01-09-2011)
    “…To develop a practical thyroid imaging reporting and data system (TIRADS) with which to categorize thyroid nodules and stratify their malignant risk. The…”
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  6. 6

    Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound by Ko, Su Yeon, Lee, Ji Hye, Yoon, Jung Hyun, Na, Hyesun, Hong, Eunhye, Han, Kyunghwa, Jung, Inkyung, Kim, EunKyung, Moon, Hee Jung, Park, Vivian Y., Lee, Eunjung, Kwak, Jin Young

    Published in Head & neck (01-04-2019)
    “…Background We designed a deep convolutional neural network (CNN) to diagnose thyroid malignancy on ultrasound (US) and compared the diagnostic performance of…”
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  7. 7

    Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma by Lee, Si Eun, Han, Kyunghwa, Kwak, Jin Young, Lee, Eunjung, Kim, Eun-Kyung

    Published in Scientific reports (10-09-2018)
    “…Triple-negative breast cancer (TNBC) is sometimes mistaken for fibroadenoma due to its tendency to show benign morphology on breast ultrasound (US) albeit its…”
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  8. 8

    Prediction of breast cancer molecular subtypes using radiomics signatures of synthetic mammography from digital breast tomosynthesis by Son, Jinwoo, Lee, Si Eun, Kim, Eun-Kyung, Kim, Sungwon

    Published in Scientific reports (09-12-2020)
    “…We aimed to predict molecular subtypes of breast cancer using radiomics signatures extracted from synthetic mammography reconstructed from digital breast…”
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  9. 9

    Convertible Organic Nanoparticles for Near-Infrared Photothermal Ablation of Cancer Cells by Yang, Jaemoon, Choi, Jihye, Bang, Doyeon, Kim, Eunjung, Lim, Eun-Kyung, Park, Huiyul, Suh, Jin-Suck, Lee, Kwangyeol, Yoo, Kyung-Hwa, Kim, Eun-Kyung, Huh, Yong-Min, Haam, Seungjoo

    Published in Angewandte Chemie (International ed.) (10-01-2011)
    “…Infiltrate and destroy: In an environment rich in protonating or oxidative species, such as the intracellular milieu of cancer cells, the main absorption band…”
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  10. 10

    3-D breast nodule detection on automated breast ultrasound using faster region-based convolutional neural networks and U-Net by Oh, Kangrok, Lee, Si Eun, Kim, Eun-Kyung

    Published in Scientific reports (18-12-2023)
    “…Mammography is currently the most commonly used modality for breast cancer screening. However, its sensitivity is relatively low in women with dense breasts…”
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  11. 11

    Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI by Lee, Ji Young, Lee, Kwang-sig, Seo, Bo Kyoung, Cho, Kyu Ran, Woo, Ok Hee, Song, Sung Eun, Kim, Eun-Kyung, Lee, Hye Yoon, Kim, Jung Sun, Cha, Jaehyung

    Published in European radiology (01-01-2022)
    “…Objectives To investigate machine learning approaches for radiomics-based prediction of prognostic biomarkers and molecular subtypes of breast cancer using…”
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  12. 12

    An Observer-Based Optimal Voltage Control Scheme for Three-Phase UPS Systems by Eun-Kyung Kim, Mwasilu, Francis, Han Ho Choi, Jin-Woo Jung

    “…This paper proposes a simple optimal voltage control method for three-phase uninterruptible-power-supply systems. The proposed voltage controller is composed…”
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  13. 13

    Model Predictive Control with Modulated Optimal Vector for a Three-Phase Inverter with an LC Filter by Nguyen, Hoach The, Kim, Eun-Kyung, Kim, Ik-Pyo, Choi, Han Ho, Jung, Jin-Woo

    Published in IEEE transactions on power electronics (01-03-2018)
    “…This paper proposes an effective model predictive control (MPC) scheme using a modulated optimal vector (MOV) and finite control options for a three-phase…”
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  14. 14

    Diagnostic performance of gray-scale US and elastography in solid thyroid nodules by Moon, Hee Jung, Sung, Ji Min, Kim, Eun-Kyung, Yoon, Jung Hyun, Youk, Ji Hyun, Kwak, Jin Young

    Published in Radiology (01-03-2012)
    “…To evaluate the diagnostic performance of gray-scale ultrasonography (US) and elastography in differentiating benign and malignant thyroid nodules. This was an…”
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  15. 15

    Metformin Ameliorates Inflammatory Bowel Disease by Suppression of the STAT3 Signaling Pathway and Regulation of the between Th17/Treg Balance by Lee, Seon-Yeong, Lee, Seung Hoon, Yang, Eun-Ji, Kim, Eun-Kyung, Kim, Jae-Kyung, Shin, Dong-Yun, Cho, Mi-La

    Published in PloS one (11-09-2015)
    “…Metformin is used to treat type 2 diabetes. We sought to determine whether metformin reduces inflammation, by regulating p-signal transducer and activator of…”
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  16. 16

    Interleukin-10 produced by myeloid-derived suppressor cells is critical for the induction of Tregs and attenuation of rheumatoid inflammation in mice by Park, Min-Jung, Lee, Sung-Hee, Kim, Eun-Kyung, Lee, Eun-Jung, Baek, Jin-Ah, Park, Sung-Hwan, Kwok, Seung-Ki, Cho, Mi-La

    Published in Scientific reports (28-02-2018)
    “…Myeloid-derived suppressor cells (MDSCs) are heterogenous populations of immature myeloid progenitor cells with immunoregulatory function. MDSCs play critical…”
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  17. 17

    Subcategorization of atypia of undetermined significance/follicular lesion of undetermined significance (AUS/FLUS): a study applying Thyroid Imaging Reporting and Data System (TIRADS) by Yoon, Jung Hyun, Kwon, Hyeong Ju, Kim, Eun-Kyung, Moon, Hee Jung, Kwak, Jin Young

    Published in Clinical endocrinology (Oxford) (01-08-2016)
    “…Summary Objective To evaluate the clinical significance and compare the imaging features according to the Thyroid Image Reporting and Data System (TIRADS)…”
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  18. 18

    Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses by Kim, Soo -Yeon, Choi, Yunhee, Kim, Eun -Kyung, Han, Boo-Kyung, Yoon, Jung Hyun, Choi, Ji Soo, Chang, Jung Min

    Published in Scientific reports (11-01-2021)
    “…A major limitation of screening breast ultrasound (US) is a substantial number of false-positive biopsy. This study aimed to develop a deep learning-based…”
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    Myeloid‐Derived Suppressor Cells Induce the Expansion of Regulatory B Cells and Ameliorate Autoimmunity in the Sanroque Mouse Model of Systemic Lupus Erythematosus by Park, Min‐Jung, Lee, Sung‐Hee, Kim, EunKyung, Lee, Eun‐Jung, Park, Sung‐Hwan, Kwok, Seung‐Ki, Cho, Mi‐La

    Published in Arthritis & rheumatology (Hoboken, N.J.) (01-11-2016)
    “…Objective This study was undertaken to assess the effect of myeloid‐derived suppressor cells (MDSCs) on various B cell subsets, including regulatory B cells,…”
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