DIReCT++ synthesizes high-fidelity 18F-AV-45 and 18F-FDG PET images from MRI using a domain-informed rectified flow model modulated by BiomedCLIP, enabling precise MCI stratification when combined with MRI.
Alzheimer’s disease.The Lancet, 397(10284):1577–1590
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A low-rank mixture of experts model trained on handwriting data delivers strong Alzheimer's diagnosis performance with substantially reduced parameter activation during inference.
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Precision Synthesis of Multi-Tracer PET via VLM-Modulated Rectified Flow for Stratifying Mild Cognitive Impairment
DIReCT++ synthesizes high-fidelity 18F-AV-45 and 18F-FDG PET images from MRI using a domain-informed rectified flow model modulated by BiomedCLIP, enabling precise MCI stratification when combined with MRI.
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Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework
A low-rank mixture of experts model trained on handwriting data delivers strong Alzheimer's diagnosis performance with substantially reduced parameter activation during inference.