Undergraduate Research Assistant Recruitment (Fall 2026)
Our lab is recruiting undergraduate research assistants for the Fall 2026 semester. If you are interested in any of the …
Graduate Student Recruitment (Fall 2026)
The MACS Lab at Jeonbuk National University is looking for Master’s and PhD (Integrated) students for the Fall …
Undergraduate Research Assistant Recruitment (Spring 2026)
Our lab is recruiting undergraduate research assistants. If you are interested in at least one of the following topics, …
Medical AI & Computational Science
Welcome to the Medical AI & Computational Science Laboratory at Jeonbuk National University.
Medical AI
We expand diagnosis support, clinical workflows, and trustworthy AI applications based on medical data and deep learning.
Vision-Language Intelligence
We research interpretable AI by integrating medical images, text, and clinical information through multimodal learning.
Research to Product
We strengthen practical development capabilities to connect research results to real-world services and systems.
AI
Applying adaptive AI technologies to specialized fields such as Medical, Aerospace, and Contents.
Multi-modality
Developing core AI technologies in Vision & Language and applying them to various applications.
Medical Math
Performing statistical analysis and mathematical modeling for medical diseases and healthcare.
Contents
Developing and advancing AI-based technologies related to webtoons and media contents.
Development
Developing applications based on Full-Stack engineering.
Solution
Developing integrated solutions through the application of core AI technologies.
Notification (More...)
Our lab is recruiting undergraduate research assistants for the Fall 2026 semester. If you are interested in any of the following, please contact us by email or visit us.
The MACS Lab at Jeonbuk National University is looking for Master’s and PhD (Integrated) students for the Fall 2026 semester.
We welcome applications from those who wish to conduct research ranging from AI theory to practical applications and development.
News (More...)
We are pleased to announce that our paper, “Semantic Line Diffusion: Character-Consistent Line Art from Text-Annotated Storyboards,” has been accepted to the European Conference on Computer Vision 2026 (ECCV 2026).
We are pleased to announce that two papers from MACS Lab have been accepted to Medical Image Computing and Computer Assisted Intervention 2026 (MICCAI 2026) as early accepts, placing them in the top 9% of submissions.
Congratulations to Sakang Hong on the acceptance of her paper to Expert Systems With Applications. This is an excellent achievement and a strong result for Sakang and the MACS Lab team.
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 Intent Embedding and Multi-Mask Recommendation.”
Last Publication (More...)
"Semantic Line Diffusion: Character-Consistent Line Art from Text-Annotated Storyboards,"
European Conference on Computer Vision 2026
(ECCV2026)
, 2026.
"Uncertainty-Aware Bayesian Prompt Adaptation of SAM2 for Few-Shot Cross-Modal Segmentation,"
Expert Systems With Applications
(ESWA)
, 2026.
"Uncertainty-Aware Bayesian Prompt Adaptation for Robust Cross-Modality Medical Segmentation,"
Medical Image Computing and Computer Assisted Intervention 2026
(MICCAI 2026)
, 2026.
"Dynamic Sub-domain Modeling for Robust Medical Image Segmentation,"
Medical Image Computing and Computer Assisted Intervention 2026
(MICCAI 2026)
, 2026.