Good News! We have six papers accepted (five are early accept) in MICCAI 2022, shown as follow:

1. Cai Y, Chen H, Yang X, et al. Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2022.
2. Che H, Jin H, Chen H. Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2022: 523-533.
3. Luo L, Xu D, Chen H, et al. Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2022.
4. Chai Z, Lin H, Luo L, et al. ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2022: 238-248.
5. Lin Y, Wang Z, Cheng K T, et al. InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2022: 140-149.
6. Zhang W, Yang D, Cheung C Y, et al. Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2022: 645-655.