Anatomical Grounding and Leakage-Aware Multimodal Contrastive Learning for Alzheimer's Disease Classification from Structural MRI

arXiv:2609.15888 · cs.CV, cs.AI · Submitted 2026-09-14 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-14

Updated: 2026-09-14

Comments: 13 pages, 4 figures

Code: https://github.com/ultralytics/ultralytics

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 20× in this paper · explained in 1 episode
• Transformer — 7× in this paper · explained in 2 episodes
• Contrastive Learning — 6× in this paper · explained in 5 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Explainability — 3× in this paper · explained in 3 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Instance Segmentation — 2× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

Sources

• Multimodal Contrastive Learning and Tabular Attention for Automated Alzheimer's Disease Prediction
• TabTransformer: Tabular Data Modeling Using Contextual Embeddings

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