On-The-Fly-Adaptation
importedsoftware/on-the-fly-adaptation
Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- deep-learning · domain-adaptation · medical-image-segmentation · medical-imaging · test-time · test-time-adaptation
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- crossmoda2023domain-adaptation · medical-image-segmentation
🏆1st place in the MICCAI challenge CrossMoDA 2023
- DCACdomain-adaptation · medical-image-segmentation
Code for [IEEE-TMI] Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation.
- DoCRdomain-adaptation · medical-image-segmentation
Code for [MICCAI 2022] Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Image Segmentation.
- SLAugdomain-adaptation · medical-image-segmentation
[AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation"
- DAG4MIAdomain-adaptation · medical-imaging
Domain Adaptation and Generalization for Medical Image Analysis
- domainadaptationdomain-adaptation · medical-imaging
Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".
- api.github.com/repos/jeya-maria-jose/On-The-Fly-Adaptationretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-03-10, 31 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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