EEG-Language Pretraining for Highly Label-Efficient Clinical Phenotyping

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Cited by top-tier papers3

1. 01LLM-Guided Diagnostic Evidence Alignment for Medical Vision–Language Pretraining under Limited PairingHuimin Yan, Liang Bai, Xian Yang, Long ChenICML 2026 · 1 citation
2. 02CerebraGloss: Instruction-Tuning a Large Vision-Language Model for Fine-Grained Clinical EEG InterpretationWei Gu, Tianming Luo, Qiran Zhang, Mohan Ye et al.ICLR 2026
3. 03KAST-BAR: Knowledge-Anchored Semantically-Dynamic Topology Brain Autoregressive Modeling for Universal Neural InterpretationHaoning Wang, Wenchao Yang, Shuai Shen, Yang LiICML 2026

Builds on11

1. 01Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh et al.ICML 2021 · 47,906 citations
2. 02A Simple Framework for Contrastive Learning of Visual RepresentationsTing Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. HintonICML 2020 · 24,064 citations
3. 03Bootstrap Your Own Latent - A New Approach to Self-Supervised LearningJean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec et al.NeurIPS 2020 · 9,171 citations
4. 04ViLT: Vision-and-Language Transformer Without Convolution or Region SupervisionWonjae Kim, Bokyung Son, Ildoo KimICML 2021 · 2,258 citations
5. 05VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised LearningAdrien Bardes, Jean Ponce, Yann LeCunICLR 2022 · 1,226 citations

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