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Jee Eun Park

Seoul National University · Medicine

About the Lab

Professor Jee Eun Park's research lab specializes in biomedical imaging and data-driven health analytics, focusing on radiomics, medical image analysis, and the integration of environmental and physiological factors in disease prediction. The lab develops advanced computational models to improve diagnostic accuracy in oncology—particularly in distinguishing treatment-related changes from tumor progression in glioblastoma—while also investigating the impact of climate variables on infectious disease incidence. Additionally, the lab explores physiological biomarkers such as heart rate variability to assess emotional states, bridging biomedicine with behavioral science. The overarching goal is to enhance clinical decision-making through reproducible, generalizable, and patient-specific imaging and data science approaches.

radiomicsmedical imaginginfectious disease modelingheart rate variabilityclinical prediction models

Research Overview

Papers
466
Total Citations
18,340
Papers (5y)
94
Primary Field
Medicine

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
94total
2022
2023
2024
2025
2026
Citations per year (5y)
2,340total
20222023202420252026

Selected Papers

15
1
Review|358 citations·2019
Reproducibility and Generalizability in Radiomics Modeling: Possible Strategies in Radiologic and Statistical Perspectives
Ji Eun Park, Seo Young Park, Hwa Jung Kim, Ho Sung Kim
SJR Q1Korean Journal of RadiologyOA

Radiomics, which involves the use of high-dimensional quantitative imaging features for predictive purposes, is a powerful tool for developing and testing medical hypotheses. Radiologic and statistical challenges in radiomics include those related to the reproducibility of imaging data, control of overfitting due to high dimensionality, and the generalizability of modeling. The aims of this review article are to clarify the distinctions between radiomics features and other omics and imaging data

Radiology, Nuclear Medicine and ImagingMedicine
2
Article|313 citations·2018
High-performance anion-exchange membrane water electrolysis
Ji Eun Park, Sun Young Kang, Seung-Hyeon Oh, Jong Kwan Kim, Myung Su Lim, Chi‐Yeong Ahn, Yong‐Hun Cho, Yung‐Eun Sung
SJR Q1Electrochimica Acta
Electrical and Electronic EngineeringEngineering
3
Review|305 citations·2018
MERS transmission and risk factors: a systematic review
Ji‐Eun Park, So‐Young Jung, Ae‐Ran Kim, Ji‐Eun Park
SJR Q1BMC Public HealthOA

The transmissibility and severity of MERS differed by outbreak region and patient characteristics. Further studies assessing the risk of MERS should consider these factors.

Infectious DiseasesMedicine
4
Article|283 citations·2019
Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement
Ji Eun Park, Donghyun Kim, Ho Sung Kim, Seo Young Park, Jung Youn Kim, Se Jin Cho, Jae Ho Shin, Jeong Hoon Kim
SJR Q1European Radiology
Radiology, Nuclear Medicine and ImagingMedicine
5
Article|234 citations·2019
Effects of temperature, humidity, and diurnal temperature range on influenza incidence in a temperate region
Ji‐Eun Park, Woo‐Sik Son, Yeonhee Ryu, Soo Beom Choi, Okyu Kwon, Insung Ahn
SJR Q1Influenza and Other Respiratory VirusesOA

BACKGROUND: The effect of temperature and humidity on the incidence of influenza may differ by climate region. In addition, the effect of diurnal temperature range on influenza incidence is unclear, according to previous study findings. OBJECTIVES: The aim of this study was to analyze the effects of temperature, humidity, and diurnal temperature range on the incidence of influenza in Seoul, Republic of Korea, which is located in a temperate region. METHODS: We used Korean National Health insuran

EpidemiologyMedicine
6
Article|227 citations·2018
Incorporating diffusion- and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients
Jung Youn Kim, Ji Eun Park, Youngheun Jo, Woo Hyun Shim, Soo Jung Nam, Jeong Hoon Kim, Roh‐Eul Yoo, Seung Hong Choi, Ho Sung Kim
SJR Q1Neuro-OncologyOA

BACKGROUND: Pseudoprogression is a diagnostic challenge in early posttreatment glioblastoma. We therefore developed and validated a radiomics model using multiparametric MRI to differentiate pseudoprogression from early tumor progression in patients with glioblastoma. METHODS: The model was developed from the enlarging contrast-enhancing portions of 61 glioblastomas within 3 months after standard treatment with 6472 radiomic features being obtained from contrast-enhanced T1-weighted imaging, flu

GeneticsMedicine
7
Article|162 citations·2019
Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma
Minjae Kim, So Yeong Jung, Ji Eun Park, Yeongheun Jo, Seo Young Park, Soo Jung Nam, Jeong Hoon Kim, Ho Sung Kim
SJR Q1European Radiology
GeneticsMedicine
8
Article|159 citations·2017
Is heart rate variability (HRV) an adequate tool for evaluating human emotions? – A focus on the use of the International Affective Picture System (IAPS)
Kwang-Ho Choi, Junbeom Kim, O Sang Kwon, Min Ji Kim, Yeon Hee Ryu, Ji‐Eun Park
SJR Q1Psychiatry ResearchOA

Because human emotion varies greatly among individuals and is a qualitative factor, measuring it with any degree of accuracy is very difficult. Heart rate variability (HRV), which is used in evaluations of the autonomic nervous system (ANS), is used to evaluate human emotions. This study examines the validity of HRV as a tool to evaluate emotions using the International Affective Picture System (IAPS). For experimentation, five photos were selected for each of the categories of "happy," "unhappy

Sensory SystemsNeuroscience
9
Article|140 citations·2010
Consumer innovativeness and shopping styles
Ji Eun Park, Jun Yu, Joyce Zhou
SJR Q1Journal of Consumer Marketing

Purpose Innovative consumers are an important market segment. This paper seeks to investigate whether consumers' innate innovativeness is associated with their shopping styles. Specifically, it aims to explore the relationship between two types of innovativeness – sensory and cognitive – and consumer shopping styles. Design/methodology/approach The paper integrates the consumer innovativeness and consumer shopping styles literature. It is built on the premise that if consumer innovativeness is r

MarketingBusiness, Management and Accounting
10
Review|139 citations·2018
Next-generation proteasome inhibitors for cancer therapy
Ji Eun Park, Zachary Miller, Yearin Jun, Wooin Lee, Kyung Bo Kim
SJR Q1Translational research
HematologyMedicine
11
Article|132 citations·2018
Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation
Daesung Kang, Ji Eun Park, Young‐Hoon Kim, Jeong Hoon Kim, Joo Young Oh, Jungyoun Kim, Yi Kyung Kim, Sung Tae Kim, Ho Sung Kim
SJR Q1Neuro-OncologyOA

Background: Radiomics is a rapidly growing field in neuro-oncology, but studies have been limited to conventional MRI, and external validation is critically lacking. We evaluated technical feasibility, diagnostic performance, and generalizability of a diffusion radiomics model for identifying atypical primary central nervous system lymphoma (PCNSL) mimicking glioblastoma. Methods: A total of 1618 radiomics features were extracted from diffusion and conventional MRI from 112 patients (training se

GeneticsMedicine
12
Article|129 citations·2019
Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma
Jihye Yun, Ji Eun Park, Hyunna Lee, Sungwon Ham, Namkug Kim, Ho Sung Kim
SJR Q1Scientific ReportsOA

We aimed to establish a high-performing and robust classification strategy, using magnetic resonance imaging (MRI), along with combinations of feature extraction and selection in human and machine learning using radiomics or deep features by employing a small dataset. Using diffusion and contrast-enhanced T1-weighted MR images obtained from patients with glioblastomas and primary central nervous system lymphomas, classification task was assigned to a combination of radiomic features and (1) supe

Radiology, Nuclear Medicine and ImagingMedicine
13
Article|123 citations·2020
High-performance proton-exchange membrane water electrolysis using a sulfonated poly(arylene ether sulfone) membrane and ionomer
Ji Eun Park, Jung Hwan Kim, Jusung Han, Kihyun Kim, SungBin Park, Sungjun Kim, Hyun S. Park, Yong‐Hun Cho, Jong‐Chan Lee, Yung‐Eun Sung
SJR Q1Journal of Membrane Science
Electrical and Electronic EngineeringEngineering
14
Review|120 citations·2020
A systematic review reporting quality of radiomics research in neuro-oncology: toward clinical utility and quality improvement using high-dimensional imaging features
Ji Eun Park, Ho Sung Kim, Donghyun Kim, Seo Young Park, Jung Youn Kim, Se Jin Cho, Jeong Hoon Kim
SJR Q2BMC CancerOA

BACKGROUND: To evaluate radiomics analysis in neuro-oncologic studies according to a radiomics quality score (RQS) system to find room for improvement in clinical use. METHODS: Pubmed and Embase were searched up the terms radiomics or radiogenomics and gliomas or glioblastomas until February 2019. From 189 articles, 51 original research articles reporting the diagnostic, prognostic, or predictive utility were selected. The quality of the methodology was evaluated according to the RQS. The adhere

Radiology, Nuclear Medicine and ImagingMedicine
15
Review|120 citations·2010
Adverse events of moxibustion: A systematic review
Ji‐Eun Park, Song-Shil Lee, Myeong Soo Lee, Sun‐Mi Choi, Edzard Ernst
SJR Q1Complementary Therapies in Medicine
Complementary and alternative medicineMedicine

Research Areas

GeneticsRadiology, Nuclear Medicine and ImagingNeurologyElectrical and Electronic EngineeringRenewable Energy, Sustainability and the EnvironmentMaterials Chemistry

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