2 papers
cs.LG2026
Taming foundation model with invariance-oriented pre-training for broad-spectrum EEG analysis across signal-level, brain-state, and brain-health tasks
Yulong Dou, Han Wu, Guo Chen +3
Electroencephalography (EEG) is a widely used window into human brain function, but most EEG models remain tied to a one-dataset-one-model supervised paradigm. Recent EEG foundatio…
cs.CV2026
Vision-Language Model-Guided Deep Unrolling Enables Personalized, Fast MRI
Fangmao Ju, Yuzhu He, Zhiwen Xue +2
Magnetic Resonance Imaging (MRI) is a cornerstone in medicine and healthcare but suffers from long acquisition times. Traditional accelerated MRI methods optimize for generic image…