Chae-Eon Kim

Euidam Kim

Tae-eun Kwon

Meangee Kim

Yookyoung Shim

Minjung Kim

Soojin Kim

Hyunwoo Lee

Sooin Shin

Hoyeon Jeong

The Radiation Science and Safety Lab (RSSL) at Hanyang University's Department of Nuclear Engineering, established in 2018, focuses on radiation utilization engineering fields such as medical physics, radiation protection and safety regulations, and radiation artificial intelligence. The lab actively seeks highly motivated undergraduate, graduate students and experienced researchers interested in radiotherapy, medical physics, radiation protection, radiation biology, and artificial intelligence in radiation physics.

2018년에 설립된 한양대학교 원자력공학과 방사선 과학 및 안전 연구실(RSSL)은 의료 물리학, 방사선 방호 및 안전 규제, 방사선 인공지능과 같은 방사선 활용 공학 분야에 중점을 둡니다. 본 연구실은 방사선 치료, 의료 물리학, 방사선 방호, 방사선 생물학, 방사선 물리학 분야의 인공지능에 관심 있는 의욕적인 학부생, 대학원생 및 숙련된 연구자를 적극적으로 찾고 있습니다.

Rapid Dose Calculation Approach by Imitation of Monte Carlo Simulation using Deep Learning.

Constructing a Digital Twin-based Virtual Simulation for Training Radiotherapy Professionals on Linear Accelerator Daily Quality Assurance

Development of Quantitative Assessment System for Evaluation of Training Competence in Virtual Reality-based LINAC QA Training

Tutorial Development for Digital Twin Simulation in Scenario-based Linear Accelerator Daily QA Training

Quantitative Assessment System of VR QA Training Competence: Mechanical and Safety Procedures in LINAC daily QA

방사선치료 종사자 교육훈련을 위한 디지털트윈 시뮬레이션 내 시나리오 기반 일간품질관리 콘텐츠 개발: 선량측정에 대하여

Constructing Scenario-based Daily Quality Assurance Contents on Digital Twin-based Virtual Reality Simulation for Education and Training of Radiotherapy Professions

Development of Tutorial Scenario for QA Training in LINAC VR Simulator

Development of Training Scenario and Evaluation Standards for Daily QA of LINAC Based on Digital Twin - VR simulation.

An Approach for Establishing Digital Twin-based VR Simulation Environment for Education and Training of Radiotherapy Professions.

Development of Tutorial Scenario for QA Training in LINAC VR Simulation.

Constructing Scenario-based Daily Quality Assurance Contents on Digital Twin-based Virtual Reality Simulation for Education and Training of Radiotherapy Professions.

Comparison and optimization of deep learning-based radiosensitivity prediction models using gene-expression profiling in National Cancer Institute-60 cancer cell lines

Feasibility Study of Deep Learning Based Radiosensitivity Prediction Model of National Cancer Institute-60 Cell Lines Using Gene Expression

Radiosensitivity-related Pathway/Gene Identification using Interpretable Neural Network and Multi-omics Data

Radiosensitivity-Related Genetic Pathway Identification Using Interpretable Deep Learning Based Radiosensitivity Prediction Model

Interpretable Deep Learning and Radiosensitivity Prediction Model: as a New Tool for Identifying Radiosensitivity-Related Genetic Pathway.

Approach to Radiosensitive-related Gene Group Investigation Based on Gene Expression Visualization.

Feasibility Study of Deep Learning Based Radiosensitivity Binary Classification Model Using Gene Expression Profiling.

2-D Gene Image Generation using Gene Expression Profiling for Deep Learning Based Radiation Sensitivity Prediction Model.

Comparing the Predictive Accuracy of Deep Learning Models for Radiation Sensitivity Prediction Using Gene Expression Profiling.

A Feasibility Study on Deep Neural Network-Based Radiation Sensitivity Prediction Model using Gene Expression Data.

Development and Validation of Radiation Sensitivity Prediction Model Using Gene Expression Profiling Data Based on US National Cancer Institute-60 Tumor Cell Line.

Activation Characteristics of Concrete Shielding Walls Induced by High-Energy Particle Beams.

Analysis of Activation Tendency in Radiation Shielding Concrete According to Particle: Proton, Carbon, and Argon,

Analysis of Activated Radionuclides for Different Concretes based on the Proton Beam Source using PHITS code,

Analysis of the Association between Different Concretes and Activation based on the Carbon Ion Beam Source using PHITS code,

몬테칼로 시뮬레이션 기반의 A-BNCT용 Berylium Target 방사화 평가,

Evaluation of Effective Dose from the Activation of Proton Therapy Scanning Nozzle using PHITS code,

Comparison of Radiation Regulatory System in Selected Countries: Focusing on Differences and Adaptations

세계 여러 국가의 방사선 규제 방식 다양성 및 규제에 대한 COVID-19의 영향

Consideration of the future direction of the Korean radiation regulation against crises

방사선안전관리통합정보망(RASIS)의 활용성 증대를 위한 어플리케이션 개념 제시

Cloud Computing-based Mobile Application Proposal for Medical Physicists.

Cloud Service-based Mobile Application Proposal for Radiation Safety Inspection.

방사성동위원소등 이용분야 검사기법의 효율화를 위한 방안 제시.

Korean-specific biokinetic model for iodine in radiological protection

Uncertainty quantification of bioassay functions for the internal dosimetry of radioiodine

Application of the new ICRP iodine biokinetic model for internal dosimetry in case of thyroid blocking,

Derivation of External Exposure Characteristics of Industrial Radiography based on Empirical Evidence

Radiation Exposure Assessment for Outdoor Large-Structure Tests in Industrial Radiography

선량환산계수 산출 조건에 따른 국내 방사선작업종사자 역학연구 영향 분석.

The External Exposure Scenarios of Industrial Radiography Radiation Field based on Survey Data.

Organ dose reconstruction for Korean radiation workers study.

Occupational External Exposure Scenarios of Non-destructive Testing Worker in Korea.

방사선 에너지와 피폭방향에 따른 개인선량계 반응도 평가 및 국내 방사선 작업종사자 역학연구에 미치는 영향.

Derivation of External Exposure Characteristics of Industrial Radiography Testing Radiation Workers based on Expert Advice and Preliminary Survey.

Radiation Science and Safety Lab (RSSL)

교수님 소개

정윤선 교수

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

국내 방사성폐기물 자체처분 규제체계 유연화를 위한 시나리오 기반의 조건부 규제해제 준위 예비 평가

Feasibility of Synthetic 4DCT Reconstruction for Adaptive Respiratory-Gated Carbon-Ion Radiotherapy in Pancreatic Cancer

Range Modulator의 사용 유무에 따른 양성자 치료기 노즐 부품 방사화 영향 평가

연구실 보유 특허

대학별 입시끈

우리 연구실 모집