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20232026
most citedMed3DInsight: Enhancing 3D Medical Image Understanding with 2D Multi-Modal Large Language Models

1 citations · 1 across the 5 of their papers we have counts for

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cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV20241 cited

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…

cs.CV2023

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…