2026 Lab Summer Workshop in Jeju
Our lab's annual summer workshop in Jeju brought together research presentations at the IEIE, a lab seminar, and memorable moments with a team mission race game and great Jeju food.
News
2026
Next-Generation Autonomous Research Platforms with VLA, World Models, and Robotic Experimentation
Our lab is pleased to undertake research on VLA + World Models and robot-based experimental automation as part of the National Research Laboratory (NRL 2.0) program. Through this effort, we aim to develop next-generation research platforms in which intelligent robots can understand, plan, and autonomously perform experiments.
SungEun Hong Wins the 2026 Best Paper Award
Congratulation! SungEun Hong PhD graduate student wins 2026 Best Paper Award.
Professor Choi Named a Rising Ewha Fellow
Congratulations! Professor Choi has been selected as an Rising Ewha Fellow.
Teachers’ Day celebration event
Teachers’ Day celebration event
2026 Medical Device R&D Kick-Off for On-Device Ultrasound AI
Kick-off meeting for the 2026 Korean Government Medical Device R&D Program at Samsung Medison. The consortium, including Samsung Medical Center, Ewha Womans University, and Sungkyunkwan University, officially launched the collaborative project on real-time on-device ultrasound AI for emergency and critical care applications. Ewha Womans University will lead research on quantization-based lightweight AI optimization and VLA-based intelligent scan control technologies for efficient on-device deployment.
Medical AI & CV Lab Hangang Picnic
Medical AI & CV Lab Hangang Picnic at Yeouido Hangang Park.
Celebrating Six Lab Graduates
The graduation ceremonies of three undergraduate students, two master’s students, and one PhD student from our lab.
2025
FAU Pattern Recognition Lab Visit
Members of the FAU Pattern Recognition Lab visited our lab after MICCAI 2025 in Daejeon to reconnect and exchange research updates.
REG2025 Pathology Report Generation Challenge at MICCAI 2025
We successfully hosted the REG2025 Challenge (REport Generation in Pathology using Pan-Asia Giga-pixel WSIs) at MICCAI 2025.
Collaborative Research Visit to Fraunhofer IBMT
Uni Ko and Geonhui Jo visited the Fraunhofer IBMT Research Institute in Germany and conducted collaborative research activities with international researchers. During the visit, they participated in laboratory tours, research discussions, and hands-on collaborative experiments to strengthen global research cooperation.
Oral Presentation at MICCAI 2025
We have presented our research results at MICCAI 2025, an international conference held in Daejeon, with an oral presentation.
Gihyeon Kim Receives the Outstanding Thesis Award
Congratulations! Gihyeon Kim, a PhD graduate of the Department of Computational Medicine, has received the Outstanding Thesis Award.
Minjeong Kim Selected for the 2026 University of Toronto AI Convergence Program
Congratulations! Minjeong Kim, a master’s student in AI Convergence, has been selected for the 2026 University of Toronto AI Convergence Training Program.
Medical AI & CV Lab Busan Workshop and KCCV Participation
Medical AI & CV Lab 부산 워크샵 및 KCCV 참석
[New Research Grant] Global Basic Research Lab for Multimodal AI-Based Pre-Cancer Detection
[New Research Grant Funded] Medical AI & CV Lab Selected as a ‘Global Basic Research Lab’ to Lead Global R&D
인공지능학과 ‘MoAI 멀티모달 AI 기초연구실’ 연구팀은 국내에서 거의 시도되지 않은 창의적·도전적 연구를 지원하는 개척형 글로벌 기초연구실로 선정되어 ‘간·담·췌 다중암을 전암(Pre‑cancer) 단계에서 포착하는 멀티모달 파운데이션 AI 원천기술 개발’을 주제로 연구를 수행한다.
[New Research Grant] Ultra-Low-Latency Deep Learning for Motion-Corrected X-Ray Fluoroscopy
[New Research Grant Funded] 중견 과제 : 멀티 프레임 X선 Fluoroscopy 영상의 모션 보정 및 화질 개선을 위한 초저지연 시공간 딥러닝 모델 개발
본 연구실이 과학기술정보통신부가 주관하는 “중견연구 지원사업 도약형” 사업에 선정되었다. 이 사업은 우수 성과를 보유한 연구자에게 연구 고도화 및 혁신적인 성과 창출을 지원하는 것으로써, 본 연구실은 AI 기반 의료 영상 처리 기술을 개발하고, 국내 및 글로벌 시장에서의 사업화 및 기술 이전을 통해 의료 영상 처리 기술의 상용화를 완로하였다. 이를 통해 수술 및 진단 과정에서 높은 신뢰성과 효율성을 제공하며, 글로벌 의료 기기 시장에서의 경쟁력을 획기적으로 강화하고자 한다.
MOU with Fraunhofer IBMT for AI-Powered Biosensor Research
On April 8, 2025, our team signed a Memorandum of Understanding (MOU) with the Fraunhofer Institute for Biomedical Engineering (IBMT). We were honored to welcome Prof. Dr. Heiko Zimmermann, Director of IBMT, and Assess. jur. Peter Hauptmann, Deputy Director of IBMT, to the signing ceremony. Through this partnership, both institutions will collaborate on AI-powered biosensor research and development, aiming to advance the field of healthcare diagnostics and treatments. We look forward to our joint efforts and the groundbreaking achievements this collaboration will bring.
Ju-Heon Son Wins Best Poster Award at IFMIA 2025
Congratulations! Ju-Heon Son, a PhD student in the Artificial Intelligence Convergence program, has received the Best Poster Presentation Award at IFMIA 2025.
Ju-Heon Son Receives the Outstanding Thesis Award
Congratulations! Ju-Heon Son, a master’s graduate of the Artificial Intelligence Convergence, has received the Outstanding Thesis Award.
Paper Presentation at WACV 2025
WACV 2025 논문 발표
AAAI 2025 Paper Presentation
AAAI 2025 논문 발표
Sun-young Jeon and Yu-mi Lee Receive the 2024 Minister of Science and ICT Award
Congratulations! Sun-young Jeon and Yu-mi Lee win the 2024 Women Graduate Student Engineering Research Team Program. (과학기술정보통신부 장관상)
2024
Thanaporn Viriyasaranon, Won-kyeong Lee, and Yu-mi Lee Win the K-Medicon 2024 Excellence Award
Congratulations! Thanaporn Viriyasaranon, Won-kyeong Lee, and Yu-mi Lee win the K-Medicon 2024 Excellence Award.
Participation in IJCAI 2024
IJCAI 2024 참석
Medical AI & CV Lab Research Workshop and Invited Seminar by Dr. Dongyoon Han of NAVER AI Lab
Medical AI & CV Lab 연구 집중 워크샵 개최 및 Naver AI Lab 한동윤 박사 초청 세미나
Thanaporn Viriyasaranon, Min-hee Jang, and Ju-heon Son Win the Best Oral Presentation Award at KSIIM 2024
Congratulations! Thanaporn Viriyasaranon, Min-hee Jang and Ju-heon Son wins KSIIM 2024 Best Oral Presentation Award.
Min-hee Jang Wins the 2024 Best Student Paper Award
Congratulations! Min-hee Jang master graduate student wins 2024 Best Paper Award (우수 학생논문상).
Minjeong Kim Receives the DB Dream Master Scholarship
Congratulations! Minjeong Kim has been recognized as one of the recipients of the DB dream Master scholarship.
Wonkyeong Lee Accepted into Stanford University’s PhD Program
Congratulations! Wonkyeong Lee, a master’s degree student, has been accepted into Stanford University’s PhD program!
Joint Medical AI and Computer Vision Workshop with FAU Pattern Recognition Lab
Our lab is pleased to host a joint workshop with the FAU Pattern Recognition Lab in Germany. Joint workshop is focused on Medical AI and Computer Vision.
Ju-heon Son and Min-hee Jang Win First Place in the Creative Autonomous Project
Congratulations! Ju-heon SON, Min-hee JANG took first place in the Creative Autonomous Project at the Graduate School of Artificial Intelligence.
Professor Janghwan Choi Receives the 2024 Outstanding Research Faculty Award
교무처는 3월 22일(금) ECC 이삼봉홀에서 ‘2024학년도 우수교수 시상식’을 개최하고 우수한 강의와 연구로 본교의 교육·연구 역량 제고에 기여한 교수들에게 상패 및 표창을 수여했다. 본교는 연구수월성을 확보하고 교육의 질을 제고하기 위해 1999년부터 연구우수 교수를 선정해 시상하고 있다. 연구우수 교수는 지난 한 해 학계의 주목을 받은 우수 연구 발표자(연구실적)를 대상으로 하여 최장환 교수를 포함하여 총 6명(인공지능대학 1명)의 연구실적우수 교수를 선정하였다
Thanaporn Viriyasaranon Receives the Outstanding Thesis Award
Congratulations! Thanaporn Viriyasaranon, a doctoral graduate, has been awarded the Outstanding Thesis Award!
Nur Syamiela Receives the 2024–2025 Syensqo Scholarship
Congratulations! Nur Syamiela has been recognized as one of the recipients of the Syensqo scholarship for the academic year 2024-2025.
The graduation ceremonies for undergraduate, master’s, and doctoral degrees o...
The graduation ceremonies for undergraduate, master’s, and doctoral degrees of students affiliated with our lab.
Sungeun Hong, Geonhui Jo, and Suhyun Kim Win the Grand Prize at the Ewha Graduate Convergence Research Forum
Congratulations! Sungeun HONG, Geonhui JO and Suhyun KIM selected as a scholarship recipient for the 2023 graduate school convergence project and awarded the grand prize in the presentation category at the 2nd Ewha Graduate Student Convergence Research Outcomes Forum
Gihyeon Kim Selected for the BK Outstanding Graduate Student Overseas Training Program
Congratulations! Gihyeon Kim was finally selected as a trainee for the ‘BK Outstanding Graduate Student Overseas Training Project’.
2023
HyoBin Lee Receives the Outstanding Research Award at Research Festival 2023
Congratulations! HyoBin Lee from the doctoral program at Ewha Womans University College of Medicine has been awarded the Outstanding Research Award at the ‘Research Festival 2023’.
Min-Hee Jang Wins the 2023 Best Paper Award
Congratulation! Min-Hee Jang master graduate student wins 2023 Best Paper Award (우수 논문상).
AI-Based Image Enhancement Collaboration with Stanford RSL Lab
I’m pleased to announce the commencement of our collaboration with the Stanford RSL lab on AI-based image enhancement. The photo was taken after a lecture by Carolyn Bertozzi, the 2022 Nobel Prize Laureate in Chemistry, who is in the center.
Sun-Young Jeon Receives the Outstanding Thesis Award
Congratulation! Sun-Young Jeon, doctoral degree student at the College of Engineering, has been awarded the Outstanding Thesis Award
Suhyun Kim and Geonhui Jo Win First Place in the Creative Autonomous Project
Congratulation! Suhyun KIM, Geonhui JO took first place in the Creative Autonomous Project at the Graduate School of Artificial Intelligence
Medical AI & CV Lab Research Workshop and Invited Seminar by Junho Kim of NAVER AI Lab
Medical AI & CV Lab 연구 집중 워크샵 개최 및 Naver AI Lab 김준호 연구원 초청 세미나
Su Hyun Kim, Geon Hui Jo, and Sung Eun Hong Selected for the 2023 Graduate Convergence Scholarship
Congratulation! Su Hyun Kim, Geon Hui Jo, Sung Eun Hong were selected as the 2023 Preliminary Scholarship Students for the Graduate School Convergence Project.
Collaboration with FAU Pattern Recognition Lab on Deep Quality Assessment and Landmark Detection
In an exciting new collaboration, our team members, Wonkyeong, Seri, and Miyan, have embarked on intriguing projects with the Pattern Recognition Lab of Friedrich-Alexander-Universität Erlangen-Nürnberg, involving the development of deep quality measurement networks and landmark detection.
Research Presentation at SPIE Medical Imaging 2023
We have presented our research results at Spie medical imaging 2023, an international conference held in San diego, USA.
2022
Wonkyeong Lee Receives a 2022 U.S. Fulbright Grant
Congrats! Wonkyeong Lee awarded 2022 U.S. Fulbright grants.
Congratulation! Sun-Young Jeon doSun-Young Jeon Wins the 2022 Best Paper Awardctoral degree student wins 2022 Best Paper A...
Congratulation! Sun-Young Jeon doctoral degree student wins 2022 Best Paper Award (최우수논문상).
FAU Research Training on AI-Based Landmark Detection and Motion Compensation
Two Ph.D. students, Gihyeon and Meian, went to the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg for long-term training to conduct international collaborative research. Our team plan to jointly develop AI-based landmark detection and motion compensation technology.
Research Presentation at MICCAI 2022
We have presented our research results at MICCAI 2022, an international conference held in Singapore.
Sun-Young Jeon Receives the Future Agricultural Talent Scholarship
Congratulations! Sun-Young Jeon was selected as a future agricultural talent scholarship student.
Teachers’ Day Lab Workshop at Yeouido Hangang Park
스승의날 맞이 랩 단합 야외 워크샵 진행 (여의도 한강공원에서 진행되었습니다)
Wonkyeong Lee Wins the Image Perception Poster Award at SPIE Medical Imaging 2022
Congratulation! Wonkyeong Lee has been selected as the winner of the Image Perception Poster Award Winner (Best Poster Award) for a paper titled “Performance evaluation of image quality metrics for perceptual assessment of low-dose computed tomography images”. This paper has been presented at SPIE Medical Imaging 2022.
Thanaporn Viriyasaranon Wins the 2022 IPIU Best Paper Award
Congratulation! Thanaporn Viriyasaranon doctoral degree student wins 2022 IPIU best paper award for a paper titled “NAS-게이트 합성곱 모듈 및 캡슐 어텐션 모듈 기반의 객체 검출기”
Wonjin Kim and Jayeon Lee Win the 2022 IPIU Best Paper Award
Congratulation! 김원진, 이자연 wins 2022 IPIU best paper award for a paper titled “도메인 전이 학습법을 이용한 저선량 컴퓨터 단층 노이즈 저감”
Invited Talk on Unsupervised CT Image Enhancement at IBEC 2021
Prof. Choi gave an invited talk (Unsupervised Learning for CT Image Enhancement) at the International Biomedical Engineering Conference 2021
Dr. Jae-Suk Yang Wins the IBEC 2021 Best Poster Award
Congratulation! Dr. Jae-Suk Yang awarded IBEC 2021 Best Poster Award!
2021
Hyo-Bin Lee Wins the 2021 CAOS-KOREA Best Oral Presentation Award
Congratulation! Lee hyo-bin master’s degree student wins 2021 CAOS-KOREA best oral presentation award!
Computer Vision Lab Seminar with Prof. Andreas Maier of FAU
해외석학초청 (University of Erlangen-Nuremberg , Andreas Maier 교수님) Computer vision 팀 Lab Seminar 진행
BK Seminar with Prof. Andreas Maier of FAU
최장환 교수님 주관 해외석학초청 (University of Erlangen-Nuremberg , Andreas Maier 교수님) 의료데이터와 인공지능 BK 세미나 진행
Bioinformatics Lab Seminar with an Invited Researcher from the National Cancer Center
국립암센터 박사님 초청 BIo-informatics 팀 Lab Seminar 진행
Special Lecture on AI-Powered Medical Imaging at the 9th CAOS-KOREA Spring Conference
Prof. Choi was invited to give a special lecture titled “AI-powered medical image processing and analysis” at the 9th CAOS-KOREA (Korean Society for Computer-Assisted Orthopaedic Surgery) 춘계학술대회
Invited Talk on Deep Radiomics in Cancer Imaging at the 13th ASLLA Symposium
Prof. Choi gave an invited talk (Deep Radiomics in Cancer Imaging) at the 13th ASLLA Symposium
KSME Academic Writing Workshop at Seoul National University
정확하고 학술적인 논문 작성을 위한 대한기계학회 학술논문 워크숍 참석 (서울대학교 신공학관에서 진행되었습니다)
Hyo-Bin Lee Receives the 2021 KSME Bio Outstanding Research Award
Congratulation! Lee hyo-bin master’s degree student 2021 KSME Bio 우수 연구 선정
Teachers’ Day Commemorative Photo
스승의 날 기념 촬영
2020
Dahim Choi Accepted into Georgia Tech’s PhD Program
Congratulations. Choi Da-Him’s master’s degree students have entered the “Georgia Tech” Doctoral Program.
2019
Sehwa Moon Receives the Hyundai Motor Chung Mong-Koo Foundation Scholarship
Congratulations! Moon Sehwa student won “Hyundai Motor Chung Mong Koo Foundation scholarship (현대차 정몽구 재단의 인재양성 장학금)”
2018
Sehwa Moon Wins the Best Poster Presentation Award
Congratulations! Moon, Sehwa’s poster selected for Best Poster Presentation Awards
Dr. Jae-Suk Yang’s Paper Accepted at IWAIT-IFMIA 2019
Congratulations! Dr. Jae-Suk Yang’s paper accepted for presentation at the 2019 Joint International Workshop IWAIT-IFMIA
Dahim Choi and Juhee Kim’s Paper Accepted at IWAIT-IFMIA 2019
Congratulations! Dahim Choi & Juhee Kim’s paper accepted for presentation at the 2019 Joint International Workshop IWAIT-IFMIA
Yejin Jeon and Eunbyul Cho’s Paper Accepted at IWAIT-IFMIA 2019
Congratulations! Yejin Jeon & Eunbyul Cho’s paper accepted for presentation at the 2019 Joint International Workshop IWAIT-IFMIA
Dr. Kim and Dahim’s Paper Accepted at SPIE Medical Imaging 2019
Congratulations! Dr. Kim & Dahim’s paper accepted for presentation at SPIE Medical Imaging 2019
[New Project] Deep Learning-Based NLP and Machine Translation
[New Project Funded] Deep Learning-based Natural Language Processing and Machine Translation
2017
[New Research Grant] Deep Learning-Based Image Processing for Variable-Frame-Rate Fluoroscopy
(이미지 출처 – High performance field emission properties of graphite nanoplatelet field emitters[APPLIED PHYSICS LETTERS,2013-08-15])
본 연구실에서 “고속, 가변 프레임 디지털 엑스선 소스를 가진 투시 영상에서 딥러닝(인공지능) 기반 이미지 프로세싱 기술 개발 (방사선기술개발사업Development of Deep Learning-based Image Processing in Fluoroscopy with Fast and Variable Frame-Rated Digital X-ray Sources)” 과제를 수주하였습니다.
앞으로 3년간/년5억 연구비 지원을 받게 되며 한국전자통신연구원과 연세대학교 글로벌융합공합부와 공동연구를 진행합니다.
[New Research Grant] Real-Time 3D Assessment of Knee Cartilage Creep Deformation
[New Research Grant Funded] A study on the health measurement of knee cartilage by real time 3D measurement of creep deformation pattern
[New Research Grant] TPS-Based Synthetic Mammography for Early Breast Cancer Detection
본 연구실에서 유방암 조기 진단용 3차원 DBT/DOT 융합영상 및 자동병변 검출 시스템 용 “TPS 기반 합성마모 생성 모듈 제작” 과제를 수주하였습니다.
의료기기의 하드웨어와 소프트웨어의 발달로 다양한 3차원 의료영상이 촬영되고 있습니다. 3차원 의료영상은 더 많은 정보를 사용자에게 제공하고 병변이나 관심영역을 선명하게 확인할 수 있는 장점을 가집니다. 하지만, 3차원 의료영상은 판독시간을 증가시키는 단점을 가지고 있으며 2차원 영상에서 더 명확하게 보이는 병변이 존재합니다. 실제, 3차원 유방 촬영 영상인 DBT(Digital Breast Tomosynthesis)는 종괴(mass)검출률이 뛰어나고 2차원 영상인 Mammography는 미세석회화 표현에 강점을 가집니다. 임상 실험 결과 2차원과 3차원의 두 영상을 판독에 활용할 경우 더 높은 판독율을 가진다는 연구결과가 발표되고 있습니다. 3차원 영상과 2차원 영상을 각각 촬영할 경우 환자의 방사선 피폭량이 증가되기 때문에 3차원 영상에서 2차원 영상을 생성하는 방법이 사용되고 있습니다. 2차원 영상 생성시 연부조직의 중첩에 의한 문제점이 발생되어 병변이나 관심영역이 선명하게 표현되기 어렵습니다.
본 프로젝트를 통해 3차원 의료 영상에서 병변이나 관심영역을 기반으로 판독 효율을 높이는 2차원 의료 영상을 생성하고 디스플레이 하는 시스템을 개발하고자 합니다.