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Young‐Jin Park

Yonsei University · Medicine

About the Lab

Professor Young-Jin Park's research lab specializes in medical imaging and radiomics, focusing on leveraging advanced imaging techniques—such as ultrasound, MRI, and radiomic analysis—to improve diagnostic accuracy and prognostic prediction in oncology. The lab develops and validates deep learning and machine learning models for thyroid and breast cancer, with particular emphasis on risk stratification, disease-free survival prediction, and image-pathology correlation. Key research directions include computer-aided diagnosis (CAD), radiomic feature extraction from medical images, and the integration of imaging with clinical outcomes to support personalized treatment planning.

radiomicsultrasoundMRIcomputer-aided diagnosiscancer prognosis

Research Overview

Papers
146
Total Citations
2,017
Papers (5y)
43
Primary Field
Medicine

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
43total
2022
2023
2024
2025
2026
Citations per year (5y)
118total
20222023202420252026

Selected Papers

15
1
Article|94 citations·2019
Diagnosis of Thyroid Nodules: Performance of a Deep Learning Convolutional Neural Network Model vs. Radiologists
Vivian Youngjean Park, Kyunghwa Han, Yeong Kyeong Seong, Moon Ho Park, Eun‐Kyung Kim, Hee Jung Moon, Jung Hyun Yoon, Jin Young Kwak
SJR Q1Scientific ReportsOA

Computer-aided diagnosis (CAD) systems hold potential to improve the diagnostic accuracy of thyroid ultrasound (US). We aimed to develop a deep learning-based US CAD system (dCAD) for the diagnosis of thyroid nodules and compare its performance with those of a support vector machine (SVM)-based US CAD system (sCAD) and radiologists. dCAD was developed by using US images of 4919 thyroid nodules from three institutions. Its diagnostic performance was prospectively evaluated between June 2016 and F

Endocrinology, Diabetes and MetabolismMedicine
2
Article|80 citations·2020
Radiomics signature for prediction of lateral lymph node metastasis in conventional papillary thyroid carcinoma
Vivian Youngjean Park, Kyunghwa Han, Hye Jung Kim, Eunjung Lee, Ji Hyun Youk, Eun‐Kyung Kim, Hee Jung Moon, Jung Hyun Yoon, Jin Young Kwak
SJR Q1PLoS ONEOA

The present study showed that US radiomic features of the primary tumor were associated with lateral cervical lymph node status. Although their discriminatory performance was slightly lower in the validation cohort, our study shows that US radiomic features of the primary tumor alone have the potential to predict lateral LNM.

Endocrinology, Diabetes and MetabolismMedicine
3
Article|65 citations·2013
Second-Look US: How to Find Breast Lesions with a Suspicious MR Imaging Appearance
Vivian Youngjean Park, Min Jung Kim, Eun‐Kyung Kim, Hee Jung Moon
SJR Q1RadiographicsOA

Breast magnetic resonance (MR) imaging has high sensitivity in breast cancer diagnosis. The probability of malignancy for additional detected lesions is higher in patients with breast cancer than in the population without malignancy, which is why biopsy or further study should be considered for additional detected lesions. Because of the shortcomings of MR imaging-guided biopsy, second-look ultrasonography (US) may be the preferred next step. Detecting target lesions at second-look US and correl

Radiology, Nuclear Medicine and ImagingMedicine
4
Article|50 citations·2020
Combining radiomics with ultrasound-based risk stratification systems for thyroid nodules: an approach for improving performance
Vivian Youngjean Park, Eunjung Lee, Hye Sun Lee, Hye Jung Kim, Jiyoung Yoon, Jinwoo Son, Kijun Song, Hee Jung Moon, Jung Hyun Yoon, Ga Ram Kim, Jin Young Kwak
SJR Q1European RadiologyOA
Endocrinology, Diabetes and MetabolismMedicine
5
Article|49 citations·2019
Association Between Radiomics Signature and Disease-Free Survival in Conventional Papillary Thyroid Carcinoma
Vivian Youngjean Park, Kyunghwa Han, Eunjung Lee, Eun‐Kyung Kim, Hee Jung Moon, Jung Hyun Yoon, Jin Young Kwak
SJR Q1Scientific ReportsOA

Patients with papillary thyroid carcinoma (PTC) would benefit from risk stratification tools that can aid in planning personalized treatment and follow-up. The aim of this study was to develop a conventional ultrasound (US)-based radiomics signature to estimate disease-free survival (DFS) in patients with conventional PTC. Imaging features were extracted from the pretreatment US images of 768 patients with conventional PTC who were treated between January 2004 and February 2006. The median follo

Radiology, Nuclear Medicine and ImagingMedicine
6
Review|46 citations·2017
Evaluating imaging-pathology concordance and discordance after ultrasound-guided breast biopsy
Vivian Youngjean Park, Eun‐Kyung Kim, Hee Jung Moon, Jung Hyun Yoon, Min Jung Kim
SJR Q1ULTRASONOGRAPHYOA

Ultrasound (US)-guided breast biopsy has become the main method for diagnosing breast pathology, and it has a high diagnostic accuracy, approaching that of open surgical biopsy. However, methods for confirming adequate lesion retrieval after US-guided biopsy are relatively limited and false-negative results are unavoidable. Determining imaging-pathology concordance after US-guided biopsy is essential for validating the biopsy result and providing appropriate management. In this review article, w

Pathology and Forensic MedicineMedicine
7
Article|42 citations·2015
Malignancy risk and characteristics of thyroid nodules with two consecutive results of atypia of undetermined significance or follicular lesion of undetermined significance on cytology
Vivian Youngjean Park, Eun‐Kyung Kim, Jin Young Kwak, Jung Hyun Yoon, Hee Jung Moon
SJR Q1European RadiologyOA
Endocrinology, Diabetes and MetabolismMedicine
8
Article|39 citations·2020
MRI Radiomic Features: Association with Disease-Free Survival in Patients with Triple-Negative Breast Cancer
Sung‐Won Kim, Min Jung Kim, Eun‐Kyung Kim, Jung Hyun Yoon, Vivian Youngjean Park
SJR Q1Scientific ReportsOA

Radiomic features hold potential to improve prediction of disease-free survival (DFS) in triple-negative breast cancer (TNBC) and may show better performance if developed from TNBC patients. We aimed to develop a radiomics score based on MRI features to estimate DFS in patients with TNBC. A total of 228 TNBC patients who underwent preoperative MRI and surgery between April 2012 and December 2016 were included. Patients were temporally divided into the training (n = 169) and validation (n = 59) s

Radiology, Nuclear Medicine and ImagingMedicine
9
Article|37 citations·2014
Dynamic enhancement pattern of HCC smaller than 3 cm in diameter on gadoxetic acid‐enhanced MRI: comparison with multiphasic MDCT
Vivian Youngjean Park, Jin‐Young Choi, Yong Eun Chung, Honsoul Kim, Mi‐Suk Park, Joon Seok Lim, Ki Whang Kim, Myeong‐Jin Kim
SJR Q1Liver InternationalOA

BACKGROUND & AIMS: The dynamic enhancement pattern of HCCs smaller than 3 cm in diameter on gadoxetic acid-enhanced magnetic resonance imaging (MRI) have not been extensively investigated. We aimed to evaluate the dynamic enhancement patterns of small HCCs (≤3 cm) on gadoxetic acid-enhanced magnetic resonance imaging (MRI) and compare enhancement patterns with multiphasic multidetector computed tomography (MDCT) based on tumour cellular differentiation and size. METHODS: We retrospectively inclu

HepatologyMedicine
10
Article|25 citations·2022
Ultrafast dynamic contrast-enhanced breast MRI: association with pathologic complete response in neoadjuvant treatment of breast cancer
Ji Hee Kim, Vivian Youngjean Park, Hye Jung Shin, Min Jung Kim, Jung Hyun Yoon
SJR Q1European RadiologyOA
Radiology, Nuclear Medicine and ImagingMedicine
11
Article|20 citations·2019
Diffusional kurtosis imaging for differentiation of additional suspicious lesions on preoperative breast MRI of patients with known breast cancer
Vivian Youngjean Park, Sungheon Kim, Eun‐Kyung Kim, Hee Jung Moon, Jung Hyun Yoon, Min Jung Kim
SJR Q2Magnetic Resonance ImagingOA
Radiology, Nuclear Medicine and ImagingMedicine
12
Article|20 citations·2018
Breast magnetic resonance imaging for surveillance of women with a personal history of breast cancer: outcomes stratified by interval between definitive surgery and surveillance MR imaging
Vivian Youngjean Park, Eun‐Kyung Kim, Min Jung Kim, Hee Jung Moon, Jung Hyun Yoon
SJR Q2BMC CancerOA

Women with a personal history of breast cancer are at increased risk of future breast cancer events, and may benefit from supplemental screening methods that could enhance early detection of subclinical disease. However, current literature on breast magnetic resonance (MR) imaging surveillance is limited. We investigated outcomes of surveillance breast magnetic resonance (MR) imaging in women with a personal history of breast cancer. We reviewed 1053 consecutive breast MR examinations that were

Radiology, Nuclear Medicine and ImagingMedicine
13
Article|20 citations·2018
Role of dynamic contrast‐enhanced MRI in evaluating the association between contralateral parenchymal enhancement and survival outcome in ER‐positive, HER2‐negative, node‐negative invasive breast cancer
Gi Won Shin, Yang Zhang, Min Jung Kim, Min‐Ying Su, Eun‐Kyung Kim, Hee Jung Moon, Jung Hyun Yoon, Vivian Youngjean Park
SJR Q1Journal of Magnetic Resonance ImagingOA

BACKGROUND: Background parenchymal enhancement (BPE) on dynamic contrast-enhanced (DCE)-MRI has been associated with breast cancer risk, both based on qualitative and quantitative assessments. PURPOSE: To investigate whether BPE of the contralateral breast on preoperative DCE-MRI is associated with therapy outcome in ER-positive, HER2-negative, node-negative invasive breast cancer. STUDY TYPE: Retrospective. POPULATION: In all, 289 patients with unilateral ER-positive, HER2-negative, node-negati

Radiology, Nuclear Medicine and ImagingMedicine
14
Article|19 citations·2020
BI-RADS category 3, 4, and 5 lesions identified at preoperative breast MRI in patients with breast cancer: implications for management
Si Eun Lee, Ji Hye Lee, Kyunghwa Han, Eun‐Kyung Kim, Min Jung Kim, Hee Jung Moon, Jung Hyun Yoon, Vivian Youngjean Park
SJR Q1European RadiologyOA
Radiology, Nuclear Medicine and ImagingMedicine
15
Article|19 citations·2016
Intratumoral Agreement of High-Resolution Magic Angle Spinning Magnetic Resonance Spectroscopic Profiles in the Metabolic Characterization of Breast Cancer
Vivian Youngjean Park, Dahye Yoon, Ja Seung Koo, Eun‐Kyung Kim, Seung Il Kim, Ji Soo Choi, Seho Park, Hyung Seok Park, Suhkmann Kim, Min Jung Kim
SJR Q3MedicineOA

High-resolution magic angle spinning (HR-MAS) magnetic resonance (MR) spectroscopy data may serve as a biomarker for breast cancer, with only a small volume of tissue sample required for assessment. However, previous studies utilized only a single tissue sample from each patient. The aim of this study was to investigate whether intratumoral location and biospecimen type affected the metabolic characterization of breast cancer assessed by HR-MAS MR spectroscopy. This prospective study was approve

Radiology, Nuclear Medicine and ImagingMedicine

Research Areas

Endocrinology, Diabetes and MetabolismRadiology, Nuclear Medicine and ImagingCancer ResearchPathology and Forensic MedicineOncologyPhysiology

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