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Xuancheng Yao

2 accepted papers

2026

EMAD: Evidence-Centric Grounded Multimodal Diagnosis for Alzheimer's Disease

CVPR 2026

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 especially critical in Alzheimer's disease (AD), where predictions should be grounded in both anatomical and clinical f

Cited by 0SourceScholar
2025

Enhancing 3D Medical Image Understanding with 2D Multimodal Large Language Models

ICASSP 2025accepted

Understanding medical image volumes is crucial in healthcare, yet most current models for classification and segmentation often focus narrowly on task-specific features without capturing the broader medical context. To address this, we introduce Med3DInsight, a pre-training framework that enhances 3…

Cited by 0SourceScholar