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Eun-Kyung Kim

Eun-Kyung Kim

D-Index & Metrics

Medicine

D-Index
86
Citations
32437
World Ranking
13967
National Ranking
48

Overview

Eun-Kyung Kim is affiliated with Yonsei University in South Korea and has made significant contributions in the field of medical research, focusing on radiology, artificial intelligence, and cancer diagnosis. Their research work encompasses several high-impact topics and fields of study, reflecting a broad engagement with both clinical and technological aspects of medical imaging and diagnosis.

The main field of study for Eun-Kyung Kim is Medicine, with a concentrated focus on the following subfields:

  • Radiology, Nuclear Medicine and Imaging
  • Pulmonary and Respiratory Medicine
  • Artificial Intelligence
  • Oncology
  • Surgery

The research topics covered extensively by Eun-Kyung Kim include:

  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Thyroid Cancer Diagnosis and Treatment
  • Digital Radiography and Breast Imaging
  • COVID-19 diagnosis using AI
  • Breast Lesions and Carcinomas
  • Breast Cancer Treatment Studies

The scientist has published papers in numerous reputable venues. The most frequent publication venues are:

  • Scientific Reports
  • European Radiology
  • Korean Journal of Radiology
  • PLoS ONE
  • Radiology

Recent papers authored or co-authored by Eun-Kyung Kim include:

  • "Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study" (2020) in The Lancet Digital Health
  • "Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI" (2021) in European Radiology
  • "Deep Learning-Based Artificial Intelligence for Mammography" (2021) in Korean Journal of Radiology
  • "Radiomics signature for prediction of lateral lymph node metastasis in conventional papillary thyroid carcinoma" (2020) in PLoS ONE
  • "The impact of artificial intelligence on the reading times of radiologists for chest radiographs" (2023) in npj Digital Medicine

Eun-Kyung Kim frequently collaborates with several co-authors, including:

  • Jung Hyun Yoon
  • Kyunghwa Han
  • Vivian Youngjean Park
  • Hee Jung Moon
  • Si Eun Lee

Best Publications

  • New Sonographic Criteria for Recommending Fine-Needle Aspiration Biopsy of Nonpalpable Solid Nodules of the Thyroid

    Eun Kyung Kim;Cheong Soo Park;Woung Youn Chung;Ki Keun Oh

  • Thyroid Imaging Reporting and Data System for US Features of Nodules: A Step in Establishing Better Stratification of Cancer Risk

    Jin Young Kwak;Kyung Hwa Han;Jung Hyun Yoon;Hee Jung Moon

  • Ultrasonography Diagnosis and Imaging-Based Management of Thyroid Nodules: Revised Korean Society of Thyroid Radiology Consensus Statement and Recommendations

    Jung Hee Shin;Jung Hwan Baek;Jin Chung;Eun Joo Ha

  • Ultrasonography and the Ultrasound-Based Management of Thyroid Nodules: Consensus Statement and Recommendations

    Won Jin Moon;Jung Hwan Baek;So Lyung Jung;Dong Wook Kim

  • Convertible organic nanoparticles for near-infrared photothermal ablation of cancer cells.

    Jaemoon Yang;Jihye Choi;Doyeon Bang;Eunjung Kim

  • Preoperative staging of papillary thyroid carcinoma: comparison of ultrasound imaging and CT.

    Ji Soo Choi;Jinna Kim;Jin Young Kwak;Min Jung Kim

  • Complications Encountered in the Treatment of Benign Thyroid Nodules with US-guided Radiofrequency Ablation: A Multicenter Study

    Jung Hwan Baek;Jeong Hyun Lee;Jin Yong Sung;Jae-Ik Bae

  • CRISPR/Cas9-induced knockout and knock-in mutations in Chlamydomonas reinhardtii

    Sung Eun Shin;Jong-Min Lim;Hyun Gi Koh;Eun Kyung Kim

  • Can vascularity at power Doppler US help predict thyroid malignancy

    Hee Jung Moon;Jin Young Kwak;Min Jung Kim;Eun Ju Son

  • Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study

    Hyo Eun Kim;Hak Hee Kim;Boo Kyung Han;Ki Hwan Kim

  • Radiofrequency ablation of benign thyroid nodules and recurrent thyroid cancers: consensus statement and recommendations.

    Dong Gyu Na;Jeong Hyun Lee;So Lyung Jung;Ji hoon Kim

  • Diagnostic performance of gray-scale US and elastography in solid thyroid nodules.

    Hee Jung Moon;Ji Min Sung;Eun Kyung Kim;Jung Hyun Yoon

  • An adaptation of the Korean mini-mental state examination (K-MMSE) in elderly Koreans: demographic influence and population-based norms (the AGE study).

    Changsu Han;Sangmee Ahn Jo;Inho Jo;Eunkyung Kim

  • PD-L1 expression on immune cells, but not on tumor cells, is a favorable prognostic factor for head and neck cancer patients

    Hye Ryun Kim;Sang Jun Ha;Min Hee Hong;Su Jin Heo

  • Triple-negative invasive breast cancer on dynamic contrast-enhanced and diffusion-weighted MR imaging: comparison with other breast cancer subtypes

    Ji Hyun Youk;Eun Ju Son;Jin Chung;Jeong Ah Kim

  • Interobserver and Intraobserver Variations in Ultrasound Assessment of Thyroid Nodules

    Seon Hyeong Choi;Eun Kyung Kim;Jin Young Kwak;Min Jung Kim

  • Interobserver agreement in assessing the sonographic and elastographic features of malignant thyroid nodules

    Sung Hee Park;Soo Jin Kim;Eun-Kyung Kim;Min Jung Kim

  • Treatment Outcomes and Long-term Survival in Patients with Extensively Drug-resistant Tuberculosis

    Doh Hyung Kim;Hee Jin Kim;Seung-Kyu Park;Suck-Jun Kong

  • US-guided Fine-Needle Aspiration of Thyroid Nodules: Indications, Techniques, Results

    Min Jung Kim;Eun Kyung Kim;Sung Il Park;Byung Moon Kim

  • Malignancy Risk Stratification of Thyroid Nodules: Comparison between the Thyroid Imaging Reporting and Data System and the 2014 American Thyroid Association Management Guidelines

    Jung Hyun Yoon;Hye Sun Lee;Eun Kyung Kim;Hee Jung Moon

Frequent Co-Authors

Bong-Soo Lee
Bong-Soo Lee Korea Advanced Institute of Science and Technology
Hak-Sung Kim
Hak-Sung Kim Hanyang University
Myeong-Jin Kim
Myeong-Jin Kim Yonsei University
Hyun Cheol Chung
Hyun Cheol Chung Yonsei University
Changsu Han
Changsu Han Korea University
Pyo-Jam Park
Pyo-Jam Park Konkuk University
Byoung Chul Cho
Byoung Chul Cho Yonsei University
Ji-Won Yang
Ji-Won Yang Korea Advanced Institute of Science and Technology
Won-Jung Koh
Won-Jung Koh Samsung Medical Center

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