diffusion transformers 1intent-driven fusion 1interactive fusion 1medical imaging 1multimodal image fusion 1semantic consistency 1
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cs.CV2026
MIND: Multimodal Intent-Driven Network via Diffusion Transformers for Medical Image Fusion
Yunzhan Fu, Xiangyu Shen, Yifei Sun +3
The paper introduces MIND, a network that uses diffusion transformers guided by intent-driven text generated from BioMedGPT to fuse medical images while preserving pathology-aware…
cs.CV2025
Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading
Shuo Tong, Shangde Gao, Ke Liu +4
Automatic disease image grading is a significant application of artificial intelligence for healthcare, enabling faster and more accurate patient assessments. However, domain shift…
cs.CV2024
KAER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation
Shangde Gao, Yichao Fu, Ke Liu +2
Recently, many foundation models for medical image analysis such as MedSAM, SwinUNETR have been released and proven to be useful in multiple tasks. However, considering the inheren…