An Empirical Study of Self-Supervised Learning Methods using Vision Transformers for Small-Sample 3D MRI Alzheimer's Disease Detection

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Authors: Anonymous, Author
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Abstract

This repository contains the pre-trained weights of the best models that have shown the best performance across different pre-training datasets and pre-training durations (epochs). The weights are for ViT-B model.

Fields of Study & Subjects

Dementia and Cognitive Impairment Research Medical Image Segmentation Techniques Domain Adaptation and Few-Shot Learning

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 February 2026
Language
EN
Document type
Dataset