TAF-Net adaptively fuses longitudinal structural MRI via a temporal gate to achieve top performance in 3-year MCI-to-AD conversion prediction on ADNI using only MRI.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
CSV-ViT proposes ROI-preserving variable-sized cortical supervertices and a mask-aware ViT to classify AD-related statuses from T1 MRI, reporting higher performance than recent surface models.
citing papers explorer
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Adaptive Temporal Gating of Longitudinal Magnetic Resonance Imaging for Alzheimer's Prediction
TAF-Net adaptively fuses longitudinal structural MRI via a temporal gate to achieve top performance in 3-year MCI-to-AD conversion prediction on ADNI using only MRI.
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CSV-ViT: A Vision Transformer with the Variable-sized Cortical Supervertices for Detection of Alzheimer's Disease Pathologies
CSV-ViT proposes ROI-preserving variable-sized cortical supervertices and a mask-aware ViT to classify AD-related statuses from T1 MRI, reporting higher performance than recent surface models.