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Parameter Efficient Fine-tuning of Transformer-based Masked Autoencoder Enhances Resource Constrained Neuroimage Analysis

2025-02-20

Abstract excerpt

<h4>ABSTRACT</h4> Recent innovations in artificial intelligence (AI) have increasingly focused on large-scale foundational models that are more general purpose in contrast to conventional models trained to perform specialized tasks. Transformer-based architectures have become the standard backbone in foundation models across data modalities (image, text, audio, video). There has been a keen interest in applying p...

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Literature Corpus work: 3d466dcf-a073-5928-86eb-15dc7e9c23c3
DOI: 10.1101/2025.02.15.638442

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