Medical Imaging &
Computer Vision Lab
Department of Artificial Intelligence
School of Computing
Yonsei University
news
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 11% of accepted papers). Congrats to the co-authors Chanyoung Kim* , Woojung Han*, and Dayun Ju!
2024.1. Yeongjun Jun, Sujung Hong, 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
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
Computer vision / Machine learning / Deep learning
PAC-Bayesian performance guarantee
domain generalization/adaptation - theory and application
semantic segmentation
video annotation
generative models
Prospective graduate students can contact seongjae@yonsei.ac.kr