Junsu Lim is a Visiting Member at IMSI Research Lab, Seoul National University, majoring in Big Data Convergence at Sangmyung University. He is a key researcher within the SUDAL Medical Imaging Team. His research interests focus on medical imaging, generative AI, diffusion models (including LLDM), vision-language models (VLM), and transformer-based architectures for advanced medical diagnostics.
He actively collaborates with Samsung Medical Center radiologists and NVIDIA researchers to develop clinically robust AI systems for automated healthcare diagnostics and medical image computing, with a strong focus on high-fidelity MRI and anatomical reasoning.
Research Interests
- Medical Image Analysis
- Generative AI & Diffusion Models
- Vision-Language Models (VLM)
- Transformers in Medicine
- Medical Imaging
Education
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BSc in Big Data Convergence
Sangmyung University
Recent Publications
- 3D-LLDM: Label-Guided 3D Latent Diffusion Model, IEEE ISBI 2026 Oral Presentation
- MAESIL: Masked Autoencoder for Enhanced Self-supervised Medical Image Learning, IEEE ICEIC 2026
- MINTI: Micro-boundary INstructional Training for Intelligent anatomical vision-language model, The Institute of Electronics and Information Engineers of Korea (IEIE) 2026