Research map / Label-efficient and robust learning / Recognition and long-tail
Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace baseline imaging features with the enriched longitudinal representation | LR · ADAS TOTAL | RMSE: 52.09% | Helped |
| Replace baseline imaging features with the enriched longitudinal representation | RR · ADAS TOTAL | RMSE: 66.55% | Helped |
| Replace baseline imaging features with the enriched longitudinal representation | Lasso · ADAS TOTAL | RMSE: 57.18% | Helped |
| Replace baseline imaging features with the enriched longitudinal representation | SVR · ADAS TOTAL | RMSE: 59.56% | Helped |
| Replace baseline imaging features with the enriched longitudinal representation | CNN · ADAS TOTAL | RMSE: 58.18% | Helped |
| Replace baseline imaging features with the enriched longitudinal representation | LR · MMSE | RMSE: 4.53% | Helped |
| Replace baseline imaging features with the enriched longitudinal representation | RR · MMSE | RMSE: 52.21% | Helped |
| Replace baseline imaging features with the enriched longitudinal representation | Lasso · MMSE | RMSE: 43.23% | Helped |
| Replace baseline imaging features with the enriched longitudinal representation | SVR · MMSE | RMSE: 42.45% | Helped |
| Replace baseline imaging features with the enriched longitudinal representation | CNN · MMSE | RMSE: 40.51% | Helped |
| Replace baseline imaging features with the enriched longitudinal representation | LR · FLU ANIM | RMSE: 15.4% | Helped |
| Replace baseline imaging features with the enriched longitudinal representation | RR · FLU ANIM | RMSE: 65.53% | Helped |
Closest papers by meaning
- Learning Multi-Modal Biomarker Representations via Globally Aligned Longitudinal Enrichments (AAAI 2020 · similarity 0.95)
- Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations (AAAI 2021 · similarity 0.91)
- Adaptive Shrinkage Estimation for Personalized Deep Kernel Regression in Modeling Brain Trajectories (ICLR 2025 · similarity 0.88)
- Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization (ICML 2024 · similarity 0.84)
- Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands (NeurIPS 2025 · similarity 0.83)
- DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s Disease (AAAI 2025 · similarity 0.83)
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