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cs.AI2026
Rethinking EEG Spatial Super-Resolution as Dynamic State Decomposition and Filtering
Hongjun Liu, Leyu Zhou, Chang Ge +2
EEG spatial super-resolution aims to recover high-density neural signals from sparse electrode observations. Existing methods have achieved substantial progress through spatial mod…
cs.AI2026
Virtual Nodes Guided Dynamic Graph Neural Network for Brain Tumor Segmentation with Missing Modalities
Sha Tao, Jiao Pan, Yu Guo +1
Multimodal magnetic resonance imaging (MRI) is crucial for brain tumor segmentation, with many methods leveraging its four key modalities to capture complementary information for e…