1 citations · 1 across the 5 of their papers we have counts for
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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…
Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models
Qiuhui Chen, Xuancheng Yao, Huping Ye +1
Understanding 3D medical image volumes is critical in the medical field, yet existing 3D medical convolution and transformer-based self-supervised learning (SSL) methods often lack…
HoloDx: Knowledge- and Data-Driven Multimodal Diagnosis of Alzheimer's Disease
Qiuhui Chen, Jintao Wang, Gang Wang +1
Accurate diagnosis of Alzheimer's disease (AD) requires effectively integrating multimodal data and clinical expertise. However, existing methods often struggle to fully utilize mu…
Med3DInsight: Enhancing 3D Medical Image Understanding with 2D Multi-Modal Large Language Models
Qiuhui Chen, Huping Ye, Yi Hong
Understanding 3D medical image volumes is a critical task in the medical domain. However, existing 3D convolution and transformer-based methods have limited semantic understanding…
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors
Qiuhui Chen, Haiying Lyu, Xinyue Hu +2
Recently, weakly-supervised image segmentation using weak annotations like scribbles has gained great attention in computer vision and medical image analysis, since such annotation…