Two MICCAI 2026 Papers Accepted as Early Accepts

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