Human Connectome Project
Emerging6papers using it
2024first seen
The Human Connectome Project is a comprehensive dataset that contains detailed information about the brain's structural and functional connectivity, used to evaluate individual variations in cortical organization and folding patterns.
Papers using Human Connectome Project (6)
- DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial
Dynamics in Brain NetworksGraph Contrastive Learning for Connectome ClassificationEnsemble-based graph representation of fMRI data for cognitive brain state classificationBrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age EstimationCommunity-Level Modeling of Gyral Folding Patterns for Robust and Anatomically Informed Individualized Brain MappingA Lesion-aware Edge-based Graph Neural Network for Predicting Language
Ability in Patients with Post-stroke Aphasia