Recent open-source papers on domain adaption/generalization for medical image segmentation
| Date | First Author | Title | Conf./Journal | Code |
|---|---|---|---|---|
| 202108 | Luyan Liu | S-CUDA: Self-Cleansing Unsupervised Domain Adaptation for Medical Image Segmentation | MedIA | code |
| 202108 | Xiaoting Han | Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation | TMI | code |
| 202108 | Rikiya Yamashita | Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation | TMI | Pytorch |
| 202107 | Spyridon Thermos | Controllable cardiac synthesis via disentangled anatomy arithmetic | arXiv | Pytorch |
| 202107 | Chen Chen | Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation | arXiv | Pytorch |
| 202104 | Chenhao Pei | Disentangle domain features for cross-modality cardiac image segmentation | MedIA | TF |
| 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 |
| 202103 | Bo Zhou | Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration | MedIA | Pytorch |
| 202102 | Neerav Karani | Test-time adaptable neural networks for robust medical image segmentation | MedIA arXiv | TF |
| 20210212 | Devavrat Tomar | Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation | TMI | Pytorch |
| 202101 | Reuben Dorent | Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets | MedIA | 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 |
| 20200812 | Fuping Wu | CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation | TMI | Pytorch |
| 202007 | NA Koohbanani | NuClick: A deep learning framework for interactive segmentation of microscopic images | MedIA | Keras |
| 20200723 | Jue Jiang | PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation | TMI, arXiv | Pytorch |
| 20200713 | Prashant Pandey | Target-Independent Domain Adaptation for WBC Classification Using Generative Latent Search | TMI | Keras |
| 202004 | Xu Chen | Diverse data augmentation for learning image segmentation with cross-modality annotations | MedIA | TF |
| 20200210 | Cheng Chen | Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation | TMI | TF |
| 20200117 | Kang Li | Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation | TMI | Pytorch |
| 201910 | Abhijit Guha Roy | ‘Squeeze & excite’ guided few-shot segmentation of volumetric images | MedIA | Pytorch |
| 20190930 | Tianyang Zhang | Noise Adaptation Generative Adversarial Network for Medical Image Analysis | TMI | Pytorch |