Explainable Vision Transformer with Self-Supervised Learning to Predict Alzheimer’s Disease Progression Using 18F-FDG PET

Research article (Bioengineering, 2023) · cited 22× · AI/ML
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Explainable Vision Transformer with Self-Supervised Learning to Predict Alzheimer’s Disease Progression Using 18F-FDG PET

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Explainable Vision Transformer with Self-Supervised Learning to Predict Alzheimer’s Disease Progression Using 18F-FDG PET is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Explainable Vision Transformer with Self-Supervised Learning to Predict Alzheimer’s Disease Progression Using 18F-FDG PET. Retrieved May 24, 2026, from https://4ort.xyz/entity/explainable-vision-transformer-with-self-supervised-learning-to-predict-alzheimers-disease-progression-using-18f-fdg-pet
MLA “Explainable Vision Transformer with Self-Supervised Learning to Predict Alzheimer’s Disease Progression Using 18F-FDG PET.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/explainable-vision-transformer-with-self-supervised-learning-to-predict-alzheimers-disease-progression-using-18f-fdg-pet.
BibTeX @misc{4ortxyz_explainable-vision-transformer-with-self-supervised-learning-to-predict-alzheimers-disease-progression-using-18f-fdg-pet_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Explainable Vision Transformer with Self-Supervised Learning to Predict Alzheimer’s Disease Progression Using 18F-FDG PET}}, year = {2026}, url = {https://4ort.xyz/entity/explainable-vision-transformer-with-self-supervised-learning-to-predict-alzheimers-disease-progression-using-18f-fdg-pet}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Explainable Vision Transformer with Self-Supervised Learning to Predict Alzheimer’s Disease Progression Using 18F-FDG PET — https://4ort.xyz/entity/explainable-vision-transformer-with-self-supervised-learning-to-predict-alzheimers-disease-progression-using-18f-fdg-pet (retrieved 2026-05-24)

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