anatomy-aware alignment 1contrastive learning 1diffusion transformers 1intent-driven fusion 1interactive fusion 1large language model encoders 1medical imaging 1medical vision-language pretraining 1multimodal image fusion 1semantic consistency 1zero-shot disease classification 1
From the 2 of 3 linked papers with an AI index.
3 papers
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.CV2026
SCALPEL: Semantic Cross-modal Alignment via LLM-Powered Encoder Learning for Medical Vision-Language Representation
Yunzhan Fu, Enyu Bao, Xiangyu Shen +4
The paper introduces SCALPEL, a framework that fine‑tunes a generative medical LLM into an isotropic encoder and uses an asymmetric, anatomy‑negation‑aware contrastive objective to…
eess.IV2025
ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction
Xiangyang Hu, Xiangyu Shen, Yifei Sun +8
Alzheimer's disease (AD) is a common neurodegenerative disease among the elderly. Early prediction and timely intervention of its prodromal stage, mild cognitive impairment (MCI),…