8 citations · 13 across the 10 of their papers we have counts for
4 papers · 2 filters
AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis
Xinyue Du, Yibo Liu, Zhenglei Zhou +3
In longitudinal Alzheimer's disease (AD) diagnosis support, clinical and imaging information is often collected at irregular visits. Integrating these multimodal observations may i…
ZSG-IAD: A Multimodal Framework for Zero-Shot Grounded Industrial Anomaly Detection
Qiuhui Chen, Jiaxiang Song, Shuai Tan +1
Deep learning-based industrial anomaly detectors often behave as black boxes, making it hard to justify decisions with physically meaningful defect evidence. We propose ZSG-IAD, a…
AD-Reasoning: Multimodal Guideline-Guided Reasoning for Alzheimer's Disease Diagnosis
Qiuhui Chen, Yushan Deng, Xuancheng Yao +1
Alzheimer's disease (AD) diagnosis requires integrating neuroimaging with heterogeneous clinical evidence and reasoning under established criteria, yet most multimodal models remai…
EMAD: Evidence-Centric Grounded Multimodal Diagnosis for Alzheimer's Disease
Qiuhui Chen, Xuancheng Yao, Zhenglei Zhou +2
Deep learning models for medical image analysis often act as black boxes, seldom aligning with clinical guidelines or explicitly linking decisions to supporting evidence. This is e…