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cs.CV2026
MPFN: End-to-End Disentangled Alignment for Generalizable Multimodal In-Context Learning in Alzheimer's Disease
Lujia Zhong, Shuo Huang, Jianwei Zhang +2
While various multimodal methods combining imaging and tabular data for Alzheimer's disease (AD) diagnosis were proposed, they are often limited in generalization across cohorts. I…
cs.CV2026
PromptDx: Differentiable Prompt Tuning for Multimodal In-Context Alzheimer's Diagnosis
Lujia Zhong, Yihao Xia, Shuo Huang +2
Deep learning models in medical imaging typically operate as parametric memory, diagnosing patients by recalling fixed knowledge learned during training. This contrasts sharply wit…