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