Recent progress on domain adaption/generalization for medical image segmentation
| Date | First Author | Title | Conf./Journal | Code |
|---|---|---|---|---|
| 20210322 | M. Bateson | Constrained Domain Adaptation for Image Segmentation | TMI | Pytorch |
| 20210317 | Sulaiman Vesal | Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation | TMI | Pytorch |
| 20210212 | Devavrat Tomar | Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation | TMI | Pytorch |
| 202102 | Neerav Karani | Test-time adaptable neural networks for robust medical image segmentation | MedIA arXiv | Pytorch |
| 20210120 | Sven Koehler | Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks | TMI, arXiv | TF 2.X |
| 202101 | Reuben Dorent | Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets | MedIA | Pytorch |
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