PromptDx adds a differentiable adapter to align multimodal data with a pre-trained TabPFN-style ICL engine, achieving strong Alzheimer's diagnosis performance with only 1% context samples.
Neuroimage62(2), 774–781 (2012)
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Participant-specific geometric eigenmodes from cortical surfaces improve whole-brain electrophysiological source reconstruction accuracy and fidelity.
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PromptDx: Differentiable Prompt Tuning for Multimodal In-Context Alzheimer's Diagnosis
PromptDx adds a differentiable adapter to align multimodal data with a pre-trained TabPFN-style ICL engine, achieving strong Alzheimer's diagnosis performance with only 1% context samples.
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A geometry aware framework enhances noninvasive mapping of whole human brain dynamics
Participant-specific geometric eigenmodes from cortical surfaces improve whole-brain electrophysiological source reconstruction accuracy and fidelity.