KOSOMBE 2025 Fall: Participation and Presentations
MACS Lab participated in the Korean Society of Medical and Biological Engineering (KOSOMBE) 2025 Fall Conference and presented our recent work in medical AI and medical image analysis. MACS Lab members at KOSOMBE 2025 Fall
MACS Lab participated in the Korean Society of Medical and Biological Engineering (KOSOMBE) 2025 Fall Conference and presented our recent work in medical AI and medical image analysis.
Presentation 1
Dongjun Kang (first author), Kyungsu Lee (corresponding author)
Anatomy-Aware Distillation with Memory-Augmented SAM2 for Fracture Detection
KOSOMBE 2025 Fall (Poster 244)
This work proposes a memory-augmented knowledge distillation framework to transfer anatomy-aware knowledge from a large SAM2 model to a lightweight fracture detector.
- Related Publication: /publication/0033-anatomy-aware-distillation-with-memory-augmented-sam2-for-fracture-detection/
Presentation 2
Sakang Hong (first author), Jun-Yung Kim, Kyungsu Lee (corresponding author)
SAM2-based Bayesian Prompt Adaptation for Cross-Modality Medical Segmentation
KOSOMBE 2025 Fall (Poster 247)
This work introduces a SAM2-based Bayesian prompt adaptation method (BayesPrompt) for cross-modality medical image segmentation under few-shot settings.
- Related Publication: /publication/0034-sam2-based-bayesian-prompt-adaptation-for-cross-modality-medical-segmentation/
The conference offered productive exchanges with researchers in biomedical engineering, especially on practical deployment paths for medical AI.