Department of Artificial Intelligence
School of Computing
Yonsei University
Department of Artificial Intelligence
School of Computing
Yonsei University
Embedded Files
School of Computing
Yonsei University
Prospective students:
To apply, please fill out the following form: MICV Lab. Application.
We are no longer looking for 2025-2 graduate applicants. You can still apply for internships or 2026-1 {MS, PhD, MS/PhD}.
news
news
2025.5. Two papers early-accepted for MICCAI 2025 (top 9% of submissions).
2025.2. We have three papers accepted to CVPR 2025 [22.1% acceptance rate]. Congrats to all the first authors Woojung Han, Seil Kang, and Chanyoung Kim!
2025.1. Our work with Severance Hospital on "Deep Learning–Based Precontrast CT Parcellation for MRI-Free Brain Amyloid PET Quantification" has been published in Clinical Nuclear Medicine [IF: 10]. Congrats to Kyobin Choo and Jaehoon Joo!
2025.1. Our work "See What You Are Told: Visual Attention Sink in Large Multimodal Models" has been accepted to ICLR 2025. Congrats to the co-authors Seil Kang, Jinyeong Kim, and Junhyeok Kim!
2025.1. Our work "PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling" has been accepted to AAAI 2025 as an Oral presentation (top 4.6% of submissions). Congrats to the co-authors Donghyun Kim, Hyunkyung Kwon, and Yumin Kim!
2024.12. I will be joining the organizing committee for MICCAI 2025 Young Scholars Initiative!
2024.10. We will be presenting two papers at WACV 2025!
2024.10. Our work "Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models" has been accepted to WACV 2025 . Congrats to the co-authors Youngjun Jun, Jiwoo Park, Kyobin Choo, and Tae Eun Choi!
2024.9. Our work "Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning" has been selected as a Spotlight paper (top 3.4% of submissions) at MICCAI 2024!
2024.8. Our work "DragText: Rethinking Text Embedding in Point-based Image Editing" has been accepted to WACV 2025 Round 1 (12% of submissions). Congrats to the co-authors Gayoon Choi*, Taejin Jeong*, Sujung Hong, and Jaehoon Joo!
2024.8. Accepted to Pattern Recognition. Congrats to the co-authors Woojung Han, Seil Kang, and Kyobin Choo!
2024.7. Hyunkyung Kwon, Chanyong Yoon, Jinyeong Kim, Yeonkyung Lee, and Hyunah Ko join our lab!
2024.6. Two more papers accepted for MICCAI 2024. We have four papers total for MICCAI 2024!
2024.5. 연세치대 구강내과학교실 박연정 교수의 발표가 공동연구 주제로 제45회 미국안면통증학회(AAOP)에서 최우수 구연발표상을 수상
2024.5. Two papers early-accepted for MICCAI 2024 (top 11% of submissions).
2024.4. Received 2023 Distinguished Faculty Award: Teaching (2023 우수업적교수상: 교육부문)
2024.4. Funding: 우수신진연구 - NeuroGPT: 치매 진단보조를 위한 뇌영상 및 전자의무기록 중심 멀티모달 대화형 생성모델 개발
2024.4. Funding: LG전자 & LG Display
2024.3. Funding: 서울혁신챌린지(본선) - 인공지능 기반의 안드로겐 탈모 진단 시스템 연구개발
2024.2. [CVPR'24] Our work "EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation" has been accepted to CVPR'24 as a Hightlight paper (top 2.8% of submissions). Congrats to the co-authors Chanyoung Kim*, Woojung Han*, and Dayun Ju!
2024.1. Youngjun Jun, Sujung Hong, Tae Eun Choi, Junhyeok Kim, Jiwoo Park, and Suhyun Kim join our lab!
2023.8. Funding: 서울혁신챌린지(예선) - 인공지능 기반의 안드로겐 탈모 진단 시스템 연구개발
2023.8. Accepted to Medical Image Analysis. Congrats to Mahbaneh!
2023.7. Funding: 한국연구재단/데이터 기반 디지털 바이오 선도사업 - 바이오 빅데이터 기반 당뇨병 및 합병증 정밀 의료를 위한 AI 플랫폼 및 모델 개발
2023.7. Funding: 한국연구재단 / 기초연구실 - CT 영상 화질개선을 위한 인공지능 연구실
2023.3. Dayun Ju and Chanyoung Kim join our lab!
2023.2. Accepted for Machine Learning on theoretical domain generalization. Congrats to Anthony!
2023.1. Accepted for ISBI 2023.
2023.1. Gayoon Choi, Taejin Jeong, and Jeahoon Joo join our lab!
2022.8. Our paper won the Best Paper Award at UAI 2022!
2022.7. Yumin Kim, Seil Kang, Kyobin Choo, Hyunjin Kim, and Donghyun Kim join our lab!
2022.5. Accepted for UAI 2022, Eindhoven, the Netherlands for an Oral Presentation. Congrats to Anthony!
2022.4. Accepted for IJCAI 2022, Vienna. Congrats to Xingchen and Anthony!
2022.3. Yujin Yang and Woojung Han join our lab!
2022.3. Accepted for Findings of ACL 2022. Congrats to Anthony!
2022.3. Joining as an Assistant Professor in the Department of Artificial Intelligence at Yonsei University
2021.10. Accepted for NeuroImage. Congrats to Mahbaneh!
2021.8. Accepted for The First Workshop on Computer Vision for Automated Medical Diagnosis @ ICCV 2021. Congrats to Mahbaneh!
2021.6. Accepted for MICCAI 2021, Virtual. Congrats to Anthony!
2021.3. Accepted for AAIC 2021, Denver, USA. Congrats to Mahbaneh!
2021.5. Accepted for MIDL 2021, Virtual. Congrats to Shibo!
2021.2. Accepted for IPMI 2021, Virtual.
2021.2. Two Full Papers Accepted for ISBI 2021, Virtual. Congrats to Anthony and Xingchen!
2020.12. Received Alzheimer's Disease Research Center Developmental Project grant by Pitt ADRC for 2021-2022 on "A bias-resilient deep learning algorithm for robust white matter hyperintensity segmentation on Alzheimer’s disease data with confounding factors"
2020.10. Accepted for The Anatomical Record.
2020.7. Accepted for an Oral Presentation at The Workshop on BioImage Computing @ ECCV 2020.
2020.4. Xingchen Zhao received the SCI Undergraduate Research Scholars award for Summer 2020. Congratulations!
2020.1. Accepted for ISBI 2020, Iowa City, USA.
2019.10. Joining as an Assistant Professor in the Department of Computer Science at the University of Pittsburgh
about
about
Medical Imaging & Computer Vision (MICV) Lab tackles an array of problems in
Medical imaging analysis
Alzheimer's disease analysis with MRI/PET/DTI
brain connectivity
data harmonization
brain lesion segmentation
multimodal generative model
Computer vision / Machine learning / Deep learning
PAC-Bayesian performance guarantee
domain generalization/adaptation - theory and application
semantic segmentation
generative models
multimodal learning
multimodal large language models (for medicine)
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