MICCAI 2026 논문 2편 Early Accept 선정Two MICCAI 2026 Papers Accepted as Early Accepts

MACS Lab의 논문 두 편이 Medical Image Computing and Computer Assisted Intervention 2026 (MICCAI 2026)에서 전체 투고 논문 중 상위 9%에 해당하는 Early Accept로 선정되었습니다.

채택된 논문은 다음과 같습니다.

• Dynamic Sub-domain Modeling for Robust Medical Image Segmentation
• Uncertainty-Aware Bayesian Prompt Adaptation for Robust Cross-Modality Medical Segmentation

모든 저자의 뛰어난 연구 성과를 축하합니다. MACS Lab은 강건하고 임상적으로 의미 있는 의료 AI 연구를 이어가겠습니다.

관련 링크:

• Dynamic Sub-domain Modeling for Robust Medical Image Segmentation
• Uncertainty-Aware Bayesian Prompt Adaptation for Robust Cross-Modality Medical Segmentation

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.

The accepted papers are:

• Dynamic Sub-domain Modeling for Robust Medical Image Segmentation
• Uncertainty-Aware Bayesian Prompt Adaptation for Robust Cross-Modality Medical Segmentation

Congratulations to all authors on this outstanding achievement. MACS Lab will continue advancing robust and clinically meaningful medical AI research.

Related links:

• Dynamic Sub-domain Modeling for Robust Medical Image Segmentation
• Uncertainty-Aware Bayesian Prompt Adaptation for Robust Cross-Modality Medical Segmentation