Article

NeuroVLM: A generative vision-language framework for human neuroimaging

2026-02-09

Abstract excerpt

Neuroimaging research has produced tens-of-thousands of articles that pair natural language and activation coordinate tables. Recent advances in vision-language models (VLMs) have provided methods to model text and images simultaneously. In this work, we present NeuroVLM, a model architecture for learning from 30,826 human neuroimage-text pairs. The architecture supports contrastive and generative objectives. The...

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Literature Corpus work: 8900bac1-6b7b-5623-8d1c-2dc8eb9479ff
DOI: 10.64898/2026.02.06.704508

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