recent news of my team
cvpr 2022
4 papers are accepted at CVPR 2022 which covers our research on pre-training framework, federated learning, automl, and transformer network. Congratulations to all the authors and thanks for everyone’s hard working!
- Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis [link]
- HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet [link]
- Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation [link]
- GradViT: Gradient Inversion of Vision Transformers [link]
MONAI
We keep developing and releasing MONAI with new features, V0.8 was released. Come and check new features: AutoML, Self-supervised Learning, and Multi-instance Learning for pathology images.