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Pre-Training for Large-Scale Functional Connectome Fingerprinting Supports Generalization and Transfer Learning in Functional Neuroimaging

2024-02-04

Abstract excerpt

Functional MRI currently supports a limited application space stemming from modest dataset sizes, large interindividual variability and heterogeneity among scanning protocols. These constraints have made it difficult for fMRI researchers to take advantage of modern deep-learning tools that have revolutionized other fields such as NLP, speech transcription, and image recognition. To address these issues, we scaled...

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Literature Corpus work
7057c435-f77c-5680-a7be-ec81520af1cb
DOI
10.1101/2024.02.02.578642
Open publication

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Pre-Training for Large-Scale Functional Connectome Fingerprinting Supports Generalization and Transfer Learning in Functional NeuroimagingDOI 10.1101/2024.02.02.578642
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