Open code & datasets.
Reference implementations on GitHub. Datasets are released as licensing and review allow.
Public code lives on the PediaMedAI GitHub organization. Reference implementations are released alongside our published research; clinical-data licensing constraints determine what we can release and when.
Repositories
AggPose
Deep aggregation vision transformer for infant pose estimation. Cao et al., 2022.
github.com/PediaMedAI/AggPose
ViTASD
Robust vision transformer baselines for autism spectrum disorder facial diagnosis. Cao et al., 2023.
github.com/PediaMedAI/ViTASD
LRFormer
Mitigating transformer overconfidence via Lipschitz regularization. Ye et al., 2023.
github.com/PediaMedAI/LRFormer
PIE
Simulating disease progression via progressive image editing. Liang et al., 2023.
github.com/irohxu/pie