Congratulations on CVPR 2026 Acceptance!
We are excited to announce that our paper has been accepted to CVPR 2026: Yeongsu Kim, Seo-Yeon Choi, and Kyungsu Lee, “Human-Intervention Segmentation via Federated …
Read MoreNews
News
Congratulations on AISTATS 2026 Acceptance!
We are excited to share that our paper has been accepted to AISTATS 2026: Seo-Yeon Choi, and Kyungsu Lee*, “TCP: Context-Aware Pooling via Top-k% Activation …
Read More
Congratulations on CHI 2026 Acceptance
We are delighted to announce that our paper has been accepted to CHI 2026: Seo-Yeon Choi, and Kyungsu Lee*, “Human-Centered Personalization in Radiology AI: Evaluating …
Read More
(2025 KOSOMBE) 홍사강 학생 우수포스터상 수상
축하합니다! MacsLAB 석사과정 홍사강 학생이 대한의용생체공학회 2025년 추계학술대회에서 우수포스터상을 수상했습니다. 이번 수상은 2025년 11월 6일부터 8일까지 인제대학교(김해)에서 열린 학술대회에서 우수한 연구 성과를 인정받아 이루어진 성과입니다. 대한의용생체공학회 2025 추계학술대회 수상 현장
Read More
(AIxMHC 2025) Best Poster Award 수상
축하합니다! MacsLAB의 Seo-Yeon Choi, Haeyun Lee, Kyungsu Lee 팀이 AIxMHC 2025에서 Best Poster Award를 수상했습니다. 수상 논문은 다음과 같습니다. Statistical Multi-Modal Fusion for Patient-Centric Medical …
Read More
Congratulations to Seo-Yeon Choi (Student Researcher, 학부연구생) on Two Papers Accepted to ICCV 2025 Workshops!
We are thrilled to announce that our undergraduate researcher, Seo-Yeon Choi (최서연), has achieved a remarkable accomplishment—two papers have been accepted to workshops at ICCV …
Read More
Congratulations to Yeongsu Kim (Student Researcher, 학부연구생) on ICLR 2025 Workshop Acceptance!
Exciting news! Our undergraduate researcher, Yeongsu Kim, has achieved an outstanding milestone—his paper has been accepted to the ML4RS Workshop at ICLR 2025! As an …
Read More
One Paper Accepted to ICLR 2025!
Thrilled to announce that our paper, “Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information,” has been accepted to ICLR …
Read More
(24년 2학기) K-Health 의료 인공지능 해커톤 수상
축하드립니다! MacsLAB에서 학부연구생으로 있는 강다영, 김수민, 박세현, 최서연학생들이 2024 K-Health 의료 인공지능 해커톤에서 최우수상을 수상하였습니다. 대회는 유방맘모그래피(Mammography) 영상데이터를 이용한 유방종괴 영역 분할 AI 학습 모델 개발을 주제로 진행되었습니다. 학생들은 자체 …
Read More