A multi-target regression framework uses LLM-derived continuous sentiment profiles from narratives and dynamic functional connectivity from fMRI to track naturalistic emotional trajectories, outperforming static ROI measures.
IEEE Transactions on Medical Imaging42(8), 2262– 2273 (2023)
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MindDiffuser is a two-stage framework that improves semantic and structural fidelity in reconstructing visual stimuli from fMRI, EEG, and MEG signals using CLIP embeddings and Stable Diffusion with backpropagation refinement.
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Versatile Framework with Semantic and Structural guidance for Image Reconstruction from Brain Activity
MindDiffuser is a two-stage framework that improves semantic and structural fidelity in reconstructing visual stimuli from fMRI, EEG, and MEG signals using CLIP embeddings and Stable Diffusion with backpropagation refinement.