Abstract: EEG data have significant academic and clinical value because of their non-invasive nature which allows for easy extraction. At the same time, they are also prone to distortion from noise, ...

Abstract: Vision-language foundation models (VLMs) have shown great potential in feature transfer and generalization across a wide spectrum of medical-related downstream tasks. However, fine-tuning ...