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황지언 교수

Ji Eon Hwang

연세대학교 내과 · 생화학·유전·분자생물학

연구실 소개

황지언 교수의 연구실은 원격 탐사와 생물의학 영상 분야에서 다중 모odal 이미지 변환 및 분석 기술을 핵심으로 연구를 진행하고 있습니다. 특히 SAR(위성 레이더) 이미지와 광학 이미지 간의 상호 변환을 위한 고성능 GAN 기반 기술 개발을 통해 기상 조건에 관계없이 정밀한 지구 관측을 구현하고 있으며, 이와 연계해 암세포의 대사 조절 메커니즘과 표적 치료 전략에 대한 분자생물학적 연구도 수행하고 있습니다. 연구는 이미지 인식 기술과 암 생물학의 융합을 통해 실용적이고 혁신적인 의료 및 환경 기술 솔루션을 개발하는 데 초점을 맞추고 있습니다.

SAR 이미지 변환CycleGAN암 대사 조절금속 채취제생물의학 영상

연구 현황

논문 수
16
총 인용 수
112
최근 5년 논문
13
주요 분야
생화학·유전·분자생물학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
13총합
2021
2022
2023
2024
2025
5개년 연도별 피인용 수
67총합
20212022202320242025

주요 논문

15
1
논문|인용수 45·2020
SAR-to-Optical Image Translation Using SSIM and Perceptual Loss Based Cycle-Consistent GAN
Jieon Hwang, Chushi Yu, Yoan Shin

Synthetic aperture radar (SAR) and optical sensing are different earth observation methods. Compared to the optical sensors, the SAR has the imaging advantages such as all-weather, all-time, ability to traverse clouds and vegetation, etc. We propose the application of the cycle-consistent generative adversarial network (CycleGAN) for translating the SAR images and the optical images with each other by training two generator networks and two discriminator networks simultaneously. In this paper, w

Computer Vision and Pattern RecognitionComputer Science
2
논문|인용수 17·2024
Inhibition of IRP2-dependent reprogramming of iron metabolism suppresses tumor growth in colorectal cancer
Jieon Hwang, Areum Park, Chinwoo Kim, Chang Gon Kim, Jaesung Kwak, Byungil Kim, Hyun‐Jin Shin, Minhee Ku, Jaemoon Yang, Ayoung Baek, Jiwon Choi, Hocheol Lim
SJR Q1Cell Communication and SignalingOA

BACKGROUND: Dysregulation of iron metabolism is implicated in malignant transformation, cancer progression, and therapeutic resistance. Here, we demonstrate that iron regulatory protein 2 (IRP2) preferentially regulates iron metabolism and promotes tumor growth in colorectal cancer (CRC). METHODS: IRP2 knockdown and knockout cells were generated using RNA interference and clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9 methodologies, respectively. Cell viability was evalu

HematologyMedicine
3
논문|인용수 15·2021
Synthesis of novel 1H-Pyrazolo[3,4-b]pyridine derivatives as DYRK 1A/1B inhibitors
Areum Park, Jieon Hwang, Joo‐Youn Lee, Eun Ji Heo, Yoon-Ju Na, Sein Kang, Kyu‐Sung Jeong, Ki Young Kim, Sang Joon Shin, Hyuk Lee
SJR Q2Bioorganic & Medicinal Chemistry LettersOA
Organic ChemistryChemistry
4
논문|인용수 12·2022
KS10076, a chelator for redox-active metal ions, induces ROS-mediated STAT3 degradation in autophagic cell death and eliminates ALDH1+ stem cells
Jaehee Kim, Areum Park, Jieon Hwang, Xianghua Zhao, Jaesung Kwak, Hyun Woo Kim, Minhee Ku, Jaemoon Yang, Tae Il Kim, Kyu‐Sung Jeong, Uyeong Choi, Hyuk Lee
SJR Q1Cell ReportsOA

Redox-active metal ions are pivotal for rapid metabolism, proliferation, and aggression across cancer types, and this presents metal chelation as an attractive cancer cell-targeting strategy. Here, we identify a metal chelator, KS10076, as a potent anti-cancer drug candidate. A metal-bound KS10076 complex with redox potential for generating hydrogen peroxide and superoxide anions induces intracellular reactive oxygen species (ROS). The elevation of ROS by KS10076 promotes the destabilization of

Cancer ResearchBiochemistry, Genetics and Molecular Biology
5
논문|인용수 7·2021
Image Data Augmentation for SAR Automatic Target Recognition Using TripleGAN
Jieon Hwang, Yoan Shin
2021 International Conference on Information and Communication Technology Convergence (ICTC)

Synthetic aperture radar (SAR) images can be observed in all weather conditions. In addition, SAR automatic target recognition (ATR) is an important technology in the field of remote sensing image analysis. However, it is expensive to acquire SAR images, which limits the construction of additional datasets. In this paper, we propose a method to enhance ATR performance of the corresponding SAR images based on triple-generative adversarial networks (GANs). We added a classifier to learn together s

Aerospace EngineeringEngineering
6
논문|인용수 6·2021
Suppression of DYRK1A/B Drives Endoplasmic Reticulum Stress-mediated Autophagic Cell Death Through Metabolic Reprogramming in Colorectal Cancer Cells
Jieon Hwang, Areum Park, CHINWOO KIM, DANBI YU, HYUNGJU BYUN, Minhee Ku, Jaemoon Yang, Tae Il Kim, Kyu‐Sung Jeong, KI YOUNG KIM, HYUK LEE, Sang Joon Shin
SJR Q2Anticancer ResearchOA

KS40008 exerts antitumor activity through the inhibition of DYRK1A/B. Here, we demonstrated a mechanism by which KS40008 affects endoplasmic reticulum stress-mediated autophagy through the induction of mitochondrial stress, leading to cytotoxicity in CRC.

EpidemiologyMedicine
7
논문|인용수 6·2022
First-line pembrolizumab versus dabrafenib/trametinib treatment for BRAF V600–mutant advanced melanoma
Chang Gon Kim, Miso Kim, Jieon Hwang, Seung Tae Kim, Minkyu Jung, Kyoo Hyun Kim, Kyung Hwan Kim, Jee Suk Chang, Woong Sub Koom, Mi Ryung Roh, Kee Yang Chung, Tae Min Kim
SJR Q1Journal of the American Academy of DermatologyOA
Molecular BiologyBiochemistry, Genetics and Molecular Biology
8
논문|인용수 4·2022
SAR-to-Optical Image Translation Using SSIM Loss Based Unpaired GAN
Jieon Hwang, Yoan Shin
2022 13th International Conference on Information and Communication Technology Convergence (ICTC)

The synthetic aperture radar (SAR) image can be acquired regardless of weather condition and time through radar reflection. However, visual effects and observations of the SAR image is difficult due to single channel information and speckle noise. In this paper, we present the disadvantage that cycle-consistency loss focuses only on texture based on the CycleGAN, and propose to apply the dual contrastive learning GAN (DCLGAN) that maximizes mutual information between SAR and optical images by le

Computer Vision and Pattern RecognitionComputer Science
9
논문|인용수 0·2007
Image feature selection using modified ICM method
Jieon Hwang, Hyung Il Choi, Jin-Young Hwang

This paper discusses a version of the ICM method in which the contextual information is modeled by Markov random fields (MRF). To select the feature, a new local MRF model with a fitting block neighborhood is introduced. This model extracts contextual information not only from the relative intensity levels but also from the geometrically directional position of neighboring cliques. Feature selection depends on each block's contribution to the local variance. They discriminates it into binary reg

Computer Vision and Pattern RecognitionComputer Science
10
논문|인용수 0·2007
Image Feature Selection Using Modified ICM Method
Jieon Hwang, Hyung Il Choi, Jin-Young Hwang

This paper discusses a version of the ICM method in which the contextual information is modeled by Markov random fields (MRF). To select the feature, a new local MRF model with a fitting block neighborhood is introduced. This model extracts contextual information not only from the relative intensity levels but also from the geometrically directional position of neighboring cliques. Feature selection depends on each block's contribution to the local variance. They discriminates it into binary reg

Computer Vision and Pattern RecognitionComputer Science
11
논문|인용수 0·2024
Abstract 5937: KS20226, a first-in-class IRP2 inhibitor, preferentially induces reprogramming of iron metabolism and suppresses tumor growth in colorectal cancer
Jieon Hwang, Areum Park, Chinwoo Kim, Chang Gon Kim, Jaesung Kwak, Byungil Kim, Hyun‐Jin Shin, Minhee Ku, Jaemoon Yang, Ayoung Baek, Jiwon Choi, Hocheol Lim
SJR Q1Cancer Research

Abstract Background: Iron homeostasis plays a role in redox activity, mitochondrial function, and cell cycle regulation. Specifically, the dysregulation of iron metabolism is implicated in malignant transformation and cancer progression. Iron regulatory protein 2 (IRP2) is crucial for maintaining balance within iron levels and primarily controls genes associated with iron utilization. Our discovery of KS20226, a first-in-class IRP2 inhibitor, reveals remarkable potential as an effective anti-can

Cancer ResearchBiochemistry, Genetics and Molecular Biology
12
논문|인용수 0·2023
PP495 The alteration of iron metabolism-regulatory protein prompted melanoma cell death through the collapse of the DREAM complex
Soseul Won, Jieon Hwang, Sang Joon Shin
SJR Q1ESMO OpenOA

Background: 177Lu-PRRT is one of standard treatments for pts with somatostatin receptor (SSTR)-positive well-differentiated NETs.However, only few pts with Asian ethnicity were included in the previous pivotal NETTER-1 trial and there is lack of realworld data for 177Lu-PRRT from Asian regions.Herein, we performed a retrospective study to evaluate the efficacy and safety of 177Lu-PRRT in pts with advanced NETs in Korea.Methods: A total of 64 pts treated with 177Lu-DOTATATE in Asan Medical Center

Molecular BiologyBiochemistry, Genetics and Molecular Biology
13
dataset|인용수 0·2022
CCDC 2150436: Experimental Crystal Structure Determination
Jae-Hee Kim, Areum Park, Jieon Hwang, Xianghua Zhao, Jaesung Kwak, H Kim, Minhee Ku, Jaemoon Yang, Tae‐il Kim, Kyu‐Sung Jeong, Uyeoung Choi, Hyuk Lee
The Cambridge Structural DatabaseOA

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Materials ChemistryMaterials Science
14
erratum|인용수 0·2024
Correction: Inhibition of IRP2-dependent reprogramming of iron metabolism suppresses tumor growth in colorectal cancer
Jieon Hwang, Areum Park, Chinwoo Kim, Chang Gon Kim, Jaesung Kwak, Byungil Kim, Hyun‐Jin Shin, Minhee Ku, Jaemoon Yang, Ayoung Baek, Jiwon Choi, Hocheol Lim
SJR Q1Cell Communication and SignalingOA
HematologyMedicine
15
논문|인용수 0·2025
Targeting iron regulatory protein 2 (IRP2) to disrupt iron metabolism enhances radiosensitivity through mitochondrial dysfunction in breast cancer cells
Ye Yeong Jeong, Jieon Hwang, Areum Park, Sung‐Min Cho, Inyoung Cho, Soseul Won, You Me Shin, Sung Eun Kim, Chi Hoon Maeng, Jaemoon Yang, Minhee Ku, Hyuk Lee
SJR Q1Cell Death DiscoveryOA

Iron regulatory protein (IRP2) plays a key role in regulating iron metabolism and enables cell survival by activating mitochondrial function. Targeting IRP2 to disrupt iron homeostasis is a promising strategy for enhancing the efficacy of cancer treatments. Depletion of IRP2 in breast cancer (BC) cells is associated with sensitivity to radiation therapy (RT), and inhibition of IRP2 prior to RT significantly reduces cell viability compared with radiation treatment alone. This combined therapeutic

HematologyMedicine

대표 연구 분야

Computer Vision and Pattern RecognitionHematologyMolecular BiologyCancer ResearchOrganic ChemistryAerospace Engineering

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