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Hyun Jin Park

Yonsei University · 医学

研究室紹介

Professor Hyun Jin Park's research lab specializes in biomedical imaging, radiomics, and advanced drug delivery systems. The lab focuses on developing innovative imaging techniques—such as probabilistic atlases, parametric PET/MRI, and radiomics signatures—to improve cancer diagnosis and treatment planning, particularly in breast and prostate cancers. Additionally, the lab designs smart nanocarrier systems, including chitosan-coated nanoparticles and multilayer alginate beads, for targeted and sustained drug delivery to enhance therapeutic efficacy. These interdisciplinary efforts bridge medical imaging, computational modeling, and nanomedicine to advance precision oncology and neurodevelopmental disorder research.

radiomicsbiomolecular imagingnanoparticle drug deliveryprostate cancercancer imaging

Research Overview

Papers
408
Total Citations
9,278
Papers (5y)
111
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
111total
2022
2023
2024
2025
2026
Citations per year (5y)
1,220total
20222023202420252026

Selected Papers

15
1
Article|330 citations·2003
Construction of an abdominal probabilistic atlas and its application in segmentation
Hyunjin Park, Peyton H. Bland, Chuck Meyer
SJR Q1IEEE Transactions on Medical Imaging

There have been significant efforts to build a probabilistic atlas of the brain and to use it for many common applications, such as segmentation and registration. Though the work related to brain atlases can be applied to nonbrain organs, less attention has been paid to actually building an atlas for organs other than the brain. Motivated by the automatic identification of normal organs for applications in radiation therapy treatment planning, we present a method to construct a probabilistic atl

Computer Vision and Pattern RecognitionComputer Science
2
Article|254 citations·2018
Radiomics Signature on Magnetic Resonance Imaging: Association with Disease-Free Survival in Patients with Invasive Breast Cancer
Hyunjin Park, Yaeji Lim, Eun Sook Ko, Hwan-ho Cho, Jeong Eon Lee, Boo‐Kyung Han, Eun Young Ko, Ji Soo Choi, Ko Woon Park
SJR Q1Clinical Cancer Research

Abstract Purpose: To develop a radiomics signature based on preoperative MRI to estimate disease-free survival (DFS) in patients with invasive breast cancer and to establish a radiomics nomogram that incorporates the radiomics signature and MRI and clinicopathological findings. Experimental Design: We identified 294 patients with invasive breast cancer who underwent preoperative MRI. Patients were randomly divided into training (n = 194) and validation (n = 100) sets. A radiomics signature (Rad-

Radiology, Nuclear Medicine and ImagingMedicine
3
Article|142 citations·2012
Photoprotection for deltamethrin using chitosan‐coated beeswax solid lipid nanoparticles
Hiep Minh Nguyen, In‐Cheon Hwang, J. C. Park, Hyunjin Park
SJR Q1Pest Management Science

BACKGROUND: In the natural environment, photodegradation is one of the most common degradative processes of pesticides. In order to reduce the photodegradation of pesticides, and so increase their killing activity against target pests, chitosan-coated beeswax solid lipid nanoparticles (CH-BSLNs) were prepared by a combination of hot homogenization and sonication, with deltamethrin as an active ingredient. RESULTS: Under optimal conditions, the highest encapsulation efficiency (95%) and a high pa

Biomedical EngineeringEngineering
4
Article|96 citations·2008
Registration Methodology for Histological Sections and In Vivo Imaging of Human Prostate
Hyunjin Park, Morand Piert, Asra Khan, Rajal B. Shah, Hero K. Hussain, Javed Siddiqui, Thomas L. Chenevert, Charles R. Meyer
SJR Q1Academic RadiologyOA
Computer Vision and Pattern RecognitionComputer Science
5
Article|85 citations·2014
Immobilization of Coacervate Microcapsules in Multilayer Sodium Alginate Beads for Efficient Oral Anticancer Drug Delivery
Chao Feng, Rui-Xi Song, Guohui Sun, Ming Kong, Zixian Bao, Yang Li, Xiaojie Cheng, Dongsu Cha, Hyunjin Park, Xiguang Chen
SJR Q1Biomacromolecules

We have designed and evaluated coacervate microcapsules-immobilized multilayer sodium alginate beads (CMs-M-ALG-Beads) for oral drug delivery. The CMs-M-ALG-Beads were prepared by immobilization of doxorubicin hydrochloride (DOX) loaded chitosan/carboxymethyl coacervate microcapsules (DOX:CS/CMCS-CMs) in the core and layers of the multilayer sodium alginate beads. The obtained CMs-M-ALG-beads exhibited layer-by-layer structure and rough surface with many nanoscale particles. The swelling charact

Pharmaceutical SciencePharmacology, Toxicology and Pharmaceutics
6
Article|83 citations·2005
Least Biased Target Selection in Probabilistic Atlas Construction
Hyunjin Park, Peyton H. Bland, Alfred O. Hero, Charles R. Meyer
SJR Q2Lecture notes in computer scienceOA
Computer Vision and Pattern RecognitionComputer Science
7
Article|81 citations·2018
Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI
Yi Kyung Kim, Hwan-ho Cho, Sung Tae Kim, Hyunjin Park, Do‐Hyun Nam, Doo‐Sik Kong
SJR Q1Neuroradiology
GeneticsMedicine
8
Article|78 citations·2012
Introducing Parametric Fusion PET/MRI of Primary Prostate Cancer
Hyunjin Park, David P. Wood, Hero K. Hussain, Charles R. Meyer, Rajal B. Shah, Timothy D. Johnson, Thomas L. Chenevert, Morand Piert
SJR Q1Journal of Nuclear MedicineOA

Our data indicate that parametric PET/MRI using P(CHOL/ADC) improves lesion-to-background contrast (TBRs) of Gleason ≥ 3 + 4 disease, compared with (11)C-choline PET/CT or diffusion-weighted MRI, and thus hold promise that parametric imaging performed on hybrid PET/MRI may further improve identification and localization of significant primary prostate cancer.

Radiology, Nuclear Medicine and ImagingMedicine
9
Article|76 citations·2017
Autism Spectrum Disorder Related Functional Connectivity Changes in the Language Network in Children, Adolescents and Adults
Yu-Bu Lee, Bo‐yong Park, Oliver James, Seong‐Gi Kim, Hyunjin Park
SJR Q2Frontiers in Human NeuroscienceOA

Autism spectrum disorder (ASD) is a neurodevelopmental disability with global implication. Altered brain connectivity in the language network has frequently been reported in ASD patients using task-based functional magnetic resonance imaging (fMRI) compared to typically developing (TD) participants. Most of these studies have focused on a specific age group or mixed age groups with ASD. In the current study, we investigated age-related changes in functional connectivity related measure, degree c

Cognitive NeuroscienceNeuroscience
10
Article|73 citations·2019
FuNP (Fusion of Neuroimaging Preprocessing) Pipelines: A Fully Automated Preprocessing Software for Functional Magnetic Resonance Imaging
Bo‐yong Park, Kyoungseob Byeon, Hyunjin Park
SJR Q2Frontiers in NeuroinformaticsOA

The preprocessing of functional magnetic resonance imaging (fMRI) data is necessary to remove unwanted artifacts and transform the data into a standard format. There are several neuroimaging data processing tools that are widely used, such as SPM, AFNI, FSL, FreeSurfer, Workbench, and fMRIPrep. Different data preprocessing pipelines yield differing results, which might reduce the reproducibility of neuroimaging studies. Here, we developed a preprocessing pipeline for T1-weighted structural MRI a

Cognitive NeuroscienceNeuroscience
11
Article|70 citations·2010
Single-cell manipulation on microfluidic chip by dielectrophoretic actuation and impedance detection
Hyunjin Park, Dong Il Kim, Kwang‐Seok Yun
SJR Q1Sensors and Actuators B Chemical
Biomedical EngineeringEngineering
12
Article|67 citations·2022
Measurement of Perfusion Heterogeneity within Tumor Habitats on Magnetic Resonance Imaging and Its Association with Prognosis in Breast Cancer Patients
Hwan-ho Cho, Haejung Kim, Sang Yu Nam, Jeong Eon Lee, Boo‐Kyung Han, Eun Young Ko, Eun Young Ko, Ji Soo Choi, Hyunjin Park, Eun Sook Ko, Eun Sook Ko
SJR Q1CancersOA

The purpose of this study was to identify perfusional subregions sharing similar kinetic characteristics from dynamic contrast-enhanced magnetic resonance imaging (MRI) using data-driven clustering, and to evaluate the effect of perfusional heterogeneity based on those subregions on patients’ survival outcomes in various risk models. From two hospitals, 308 and 147 women with invasive breast cancer who underwent preoperative MRI between October 2011 and July 2012 were retrospectively enrolled as

Radiology, Nuclear Medicine and ImagingMedicine
13
Article|64 citations·2017
The prognostic significance of cancer-associated fibroblasts in pancreatic ductal adenocarcinoma
Hyunjin Park, Yangkyu Lee, Hye‐Jung Lee, Jin-Won Kim, Jin‐Hyeok Hwang, Jaihwan Kim, Yoo‐Seok Yoon, Ho‐Seong Han, Haeryoung Kim
SJR Q3Tumor BiologyOA

Cancer-associated fibroblasts are abundant in the desmoplastic stroma of pancreatic ductal adenocarcinomas and are considered to play important roles in tumor progression. In this study, we investigated the expression status of secreted protein acidic and rich in cysteine, periostin, fibroblast-activated protein, and the newly developed proCOL11A1 antibody in the stroma of surgically resected pancreatic ductal adenocarcinomas and their prognostic implications. Tissue microarrays were constructed

OncologyMedicine
14
Article|63 citations·2016
Functional brain networks associated with eating behaviors in obesity
Bo‐yong Park, Jongbum Seo, Hyunjin Park
SJR Q1Scientific ReportsOA

Obesity causes critical health problems including diabetes and hypertension that affect billions of people worldwide. Obesity and eating behaviors are believed to be closely linked but their relationship through brain networks has not been fully explored. We identified functional brain networks associated with obesity and examined how the networks were related to eating behaviors. Resting state functional magnetic resonance imaging (MRI) scans were obtained for 82 participants. Data were from an

Cognitive NeuroscienceNeuroscience
15
Article|60 citations·2004
Adaptive registration using local information measures
Hyunjin Park, Peyton H. Bland, Kristy K. Brock, Charles R. Meyer
SJR Q1Medical Image Analysis
Computer Vision and Pattern RecognitionComputer Science

Research Areas

Radiology, Nuclear Medicine and ImagingCognitive NeuroscienceComputer Vision and Pattern RecognitionMolecular BiologyBiomedical EngineeringNeurology

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