Ligang Wu

Nonlocal atlas-guided multi-channel forest learning for human brain labeling: Nonlocal atlas-guided multi-channel forest learning

2020 · UNC Libraries

It is important for many quantitative brain studies to label meaningful anatomical regions in MR brain images. However, due to high complexity of brain structures and ambiguous boundaries between different anatomical regions, the anatomical labeling …

Interactive Continual Learning: Fast and Slow Thinking

2024

Advanced life forms, sustained by the synergistic interaction of neural cognitive mechanisms, continually acquire and transfer knowledge throughout their lifespan. In contrast, contemporary machine learning paradigms exhibit limitations in emulating the facets of continual learning …