A tri-modal model with LLM-generated text from MRIs and a vision-guided dual alignment fusion module achieves state-of-the-art performance on real-world ischemic stroke prognosis prediction.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Vision-Core Guided Contrastive Learning for Balanced Multi-modal Prognosis Prediction of Stroke
A tri-modal model with LLM-generated text from MRIs and a vision-guided dual alignment fusion module achieves state-of-the-art performance on real-world ischemic stroke prognosis prediction.