Jung Hyun Yoon

Yonsei University

South Korea

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Research Interests

Medical Imaging

100%

Radiology

100%

Breast Cancer

60%

Noninvasive Imaging

40%

Thyroid Cancer

40%

Tissue Imaging

40%

Breast Imaging

30%

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Articles14

2023 Survey on User Experience of Artificial Intelligence Software in Radiology by the Korean Society of Radiology

Article Link

Year:

2024

AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ

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Year:

2024

Unenhanced Breast MRI With Diffusion-Weighted Imaging for Breast Cancer Detection: Effects of Training on Performance and Agreement of Subspecialty Radiologists

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Year:

2024

Radiomics Analysis of Gray-Scale Ultrasonographic Images of Papillary Thyroid Carcinoma > 1 cm: Potential Biomarker for the Prediction of Lymph Node Metastasis

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Year:

2023

Artificial Intelligence Computer-Assisted Diagnosis for Thyroid Nodules: Comparison of Diagnostic Performance Using Original and Mobile Ultrasonography Images

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Year:

2023

Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis

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Year:

2023

Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer

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Year:

2023

Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level

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Year:

2022

US, Mammography, and Histopathologic Evaluation to Identify Low Nuclear Grade Ductal Carcinoma in Situ

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Year:

2022

Fine Needle Aspiration Cytology vs. Core Needle Biopsy for Thyroid Nodules: A Prospective, Experimental Study Using Surgical Specimen

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Year:

2022

Corrigendum: Diffusion-Weighted Magnetic Resonance Imaging for Breast Cancer Screening in High-Risk Women: Design and Imaging Protocol of a Prospective Multicenter Study in Korea

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Year:

2022

AI-CAD for differentiating lesions presenting as calcifications only on mammography: outcome analysis incorporating the ACR BI-RADS descriptors for calcifications

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Year:

2022

Using ultrasonographic features to predict the outcomes of patients with small papillary thyroid carcinomas: a retrospective study implementing the 2015 ATA patterns and ACR TI-RADS categories

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Year:

2022

Sarcopenia increases the risk of major organ or vessel invasion in patients with papillary thyroid cancer

Article Link

Year:

2022

Collaborators14

Eunjung Lee

Professor

Yonsei University

SOUTH KOREA

Fredrik Strand

Karolinska University Hospital

SWEDEN

Constance Lehman

Professor

MGH Institute of Health Professions

UNITED STATES

Hyung Seok Park

SOUTH KOREA

Jin Young Kwak

Yonsei University College of Medicine

SOUTH KOREA

Min Jung Kim

Professor

Yonsei University College of Medicine

SOUTH KOREA

Bong Joo Kang

Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea

SOUTH KOREA

Dong Hyun Kim

assistant professor

Seoul National University Hospital

SOUTH KOREA

Hye Sun Lee

Yonsei University College of Medicine

SOUTH KOREA

Vivian Park

Seoul National University College of Medicine

SOUTH KOREA

SoonWon Hong

Professor

Yonsei University Health System

SOUTH KOREA

Eun Cho

Assistant Professor

Gyeongsang National University College of Medicine

SOUTH KOREA

Eun-Kyung Kim

Professor

Yonsei University College of Medicine

SOUTH KOREA

Pascal A. T. Baltzer

AUSTRIA

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