A Two-Scan Deep Learning Model for Predicting Dementia in Mild Cognitive Impairment

arXiv:2605.28397 · cs.CV · Submitted 2026-05-27 · Read on arXiv

cs.CV

Submitted: 2026-05-27

Updated: 2026-10-08

Code: https://github.com/amoayedikia/tafnet

Terminology

AUC — 45× in this paper · explained in 2 episodes
Calibration — 16× in this paper · explained in 7 episodes
Transformer — 16× in this paper · explained in 2 episodes
Temporal Fusion Module — 15× in this paper
Accuracy — 13× in this paper · explained in 1 episode
Adaptive Temporal Gate — 11× in this paper
Mild Cognitive Impairment — 11× in this paper
Interpretability — 10× in this paper · explained in 15 episodes
Ablation — 9× in this paper · explained in 1 episode
Alignment — 2× in this paper · explained in 1 episode
External Validation — 2× in this paper · explained in 2 episodes
Feature Selection — 2× in this paper · explained in 4 episodes
Transformer Architecture — 2× in this paper · explained in 2 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Clustering — 1× in this paper · explained in 2 episodes
Data Augmentation — 1× in this paper · explained in 7 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Late Fusion — 1× in this paper · explained in 2 episodes
Longitudinal Data — 1× in this paper · explained in 2 episodes
Self-Supervised Learning — 1× in this paper · explained in 7 episodes
Transfer Learning — 1× in this paper · explained in 10 episodes
Transformer Models — 1× in this paper · explained in 2 episodes

Sources

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