GNOVA reconstructs and forecasts CDR-SB and MMSE scores with MAEs of 1.35 and 2.28 on 1727 ADNI patients over 10 years using only routine visit data, enabling interpolation, extrapolation, and uncertainty estimates.
The alzheimer’s disease neuroimaging initiative
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A multi-dataset cross-domain knowledge distillation approach improves unified performance on medical image segmentation, classification, and detection by transferring domain-invariant features from a joint teacher model to task-specific students.
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Reconstructing and forecasting disease trajectories of patients with Alzheimer's disease using routine data in resource-constrained settings
GNOVA reconstructs and forecasts CDR-SB and MMSE scores with MAEs of 1.35 and 2.28 on 1727 ADNI patients over 10 years using only routine visit data, enabling interpolation, extrapolation, and uncertainty estimates.
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Multi-Dataset Cross-Domain Knowledge Distillation for Unified Medical Image Segmentation, Classification, and Detection
A multi-dataset cross-domain knowledge distillation approach improves unified performance on medical image segmentation, classification, and detection by transferring domain-invariant features from a joint teacher model to task-specific students.