mlsanityData to 14 Oct 2026

Unsupervised domain adaptation for medical imaging segmentation with self-ensembling

arXiv 1811.06042 ↗First posted 14 Nov 2018cs.CVcited by 94

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Abstract (arXiv)

Recent advances in deep learning methods have come to define the state-of-the-art for many medical imaging applications, surpassing even human judgment in several tasks. Those models, however, when trained to reduce the empirical risk on a single domain, fail to generalize when applied to other domains, a very common scenario in medical imaging due to the variability of images and anatomical structures, even across the same imaging modality. In this work, we extend the method of unsupervised domain adaptation using self-ensembling for the semantic segmentation task and explore multiple facets of the method on a small and realistic publicly-available magnetic resonance (MRI) dataset. Through an extensive evaluation, we show that self-ensembling can indeed improve the generalization of the models even when using a small amount of unlabelled data.

Key facts. Cited by 94 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 Nov 2018.

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Citing papers per year: 2021: 26; 2022: 20; 2023: 21; 2024: 7; 2025: 14; 2026: 6.

94 papers.

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  1. 2021Domain Adaptation for Medical Image Analysis: A Surveycited by 352
  2. 2021A Fine-Grained Analysis on Distribution Shiftcited by 171
  3. 2021Self-supervised Augmentation Consistency for Adapting Semantic Segmentationcited by 149
  4. 2022Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectivescited by 98
  5. 2021Context-Aware Mixup for Domain Adaptive Semantic Segmentationcited by 79
  6. 2021Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labelingcited by 61
  7. 2023Domain Adaptation for Time Series Under Feature and Label Shiftscited by 60
  8. 2022CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentationcited by 58
  9. 2023Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentationcited by 47
  10. 2023Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentationcited by 35
  11. 2022On-the-Fly Test-time Adaptation for Medical Image Segmentationcited by 34
  12. 2021An Empirical Framework for Domain Generalization in Clinical Settingscited by 32
38 more
  1. 2023Semantic Image Segmentation: Two Decades of Researchcited by 27
  2. 2021Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentationcited by 23
  3. 2023ManyDG: Many-domain Generalization for Healthcare Applicationscited by 23
  4. 2021Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Surveycited by 19
  5. 2021Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentationcited by 16
  6. 2022Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registrationcited by 16
  7. 2023Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinementcited by 16
  8. 2021Consistent Posterior Distributions under Vessel-Mixing: A Regularization for Cross-Domain Retinal Artery/Vein Classificationcited by 15
  9. 2021Challenges for machine learning in clinical translation of big data imaging studiescited by 15
  10. 2021Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentationcited by 15
  11. 2023On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imagingcited by 15
  12. 2021Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularizationcited by 14
  13. 2021Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learningcited by 13
  14. 2022Target and Task specific Source-Free Domain Adaptive Image Segmentationcited by 13
  15. 2021Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentationcited by 12
  16. 2022A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentationcited by 11
  17. 2022CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentationcited by 11
  18. 2023Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Trainingcited by 11
  19. 2025Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluationcited by 10
  20. 2021Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyondcited by 9
  21. 2022Anatomy-guided domain adaptation for 3D in-bed human pose estimationcited by 9
  22. 2023Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptationcited by 9
  23. 2021Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentationcited by 8
  24. 2022Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approachcited by 8
  25. 2022Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shiftscited by 8
  26. 2024M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Trainingcited by 8
  27. 2021An Explainable AI System for Automated COVID-19 Assessment and Lesion Categorization from CT-scanscited by 7
  28. 2021Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutionscited by 7
  29. 2023Unsupervised 3D registration through optimization-guided cyclical self-trainingcited by 7
  30. 2022Monitoring Shortcut Learning using Mutual Informationcited by 6
  31. 2023Cross-modal tumor segmentation using generative blending augmentation and self trainingcited by 6
  32. 2021CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentationcited by 5
  33. 2021Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysiscited by 5
  34. 2022Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusioncited by 5
  35. 2022Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shiftscited by 5
  36. 2022Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imagingcited by 5
  37. 2023MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasetscited by 5
  38. 2023Medical Image Segmentation with Domain Adaptation: A Surveycited by 5

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