brain MRI prediction 1conditional flow matching 1diffusion transformer 1longitudinal analysis 1voxel-space modeling 1
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cs.CV2026
ProgFormer: Hierarchical Voxel Diffusion Transformer for Longitudinal Brain MRI Prediction
Dexuan Ding, Yuankai Qi, Luping Zhou +3
ProgFormer is a hierarchical diffusion transformer that predicts future brain MRI scans by first modeling coarse brain structure and then refining voxel-level details, using condit…
cs.CV2026
Multimodal Visual Surrogate Compression for Alzheimer's Disease Classification
Dexuan Ding, Ciyuan Peng, Endrowednes Kuantama +6
High-dimensional structural MRI (sMRI) images are widely used for Alzheimer's Disease (AD) diagnosis. Most existing methods for sMRI representation learning rely on 3D architecture…
cs.CV2025
Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
Dexuan Ding, Lei Wang, Liyun Zhu +2
In computer vision tasks, features often come from diverse representations, domains (e.g., indoor and outdoor), and modalities (e.g., text, images, and videos). Effectively fusing…