Pre-trained Deep Learning Segmentation Models for ACE Pipeline
AI-based Cartography of Ensembles (ACE) Pipeline Highlights
- Cutting-edge vision transformer and CNN-based deep learning architectures trained on large LSFM datasets to map brain-wide local/laminar neuronal activity.
- Optimized cluster-wise statistical analysis with a threshold-free enhancement approach to chart subpopulation-specific effects at the laminar and local levels, without restricting the analysis to atlas-defined regions.
- Modules for providing deep learning model uncertainty estimates and fine-tuning.
- Interface with MIRACL registration.
- Ability to map the connectivity between clusters of activations.
π Read the full article here: LINK
π MIRACL Software: LINK
π ACE Installation Page: LINK
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