augmentations-for-the-unknown
This repository contains the official implementation of "Data-Agnostic Augmentations for Unknown Variations - Out-of-Distribution Generalisation in MRI Segmentation", under review at MIDL 2025.
Science Score: 54.0%
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Low similarity (3.4%) to scientific vocabulary
Repository
This repository contains the official implementation of "Data-Agnostic Augmentations for Unknown Variations - Out-of-Distribution Generalisation in MRI Segmentation", under review at MIDL 2025.
Basic Info
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Metadata Files
README.md
Augmentations for the Unknown
This repository contains the official implementation of "Data-Agnostic Augmentations for Unknown Variations - Out-of-Distribution Generalisation in MRI Segmentation", under review at MIDL 2025.
Our work explores novel data augmentation techniques designed to improve model generalization in medical imaging, especially in scenarios with unseen domain shifts and rare cases.
Pretrained Models and Testing Data
Pretrained models and the testing data can be found at Zenodo.
Poster
Owner
- Name: Mathematics of Imaging & AI Group
- Login: MIAGroupUT
- Kind: organization
- Location: Netherlands
- Website: https://www.utwente.nl/en/eemcs/sacs/
- Repositories: 2
- Profile: https://github.com/MIAGroupUT
Citation (CITATION.cff)
cff-version: 1.2.0
message: If you use this software, please cite both the article from preferred-citation and the software itself.
authors:
- family-names: Vaish
given-names: Puru
- family-names: Meister
given-names: Felix
- family-names: Heimann
given-names: Tobias
- family-names: Brune
given-names: Christoph
- family-names: Wolterink
given-names: Jelmer M.
title: 'Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation'
version: 1.0.0
date-released: '2025-05-16'
preferred-citation:
authors:
- family-names: Vaish
given-names: Puru
orcid: "https://orcid.org/0000-0002-5180-5293"
- family-names: Meister
given-names: Felix
- family-names: Heimann
given-names: Tobias
- family-names: Brune
given-names: Christoph
orcid: "https://orcid.org/0000-0003-0145-5069"
- family-names: Wolterink
given-names: Jelmer M.
orcid: "https://orcid.org/0000-0001-5505-475X"
title: 'Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation'
doi: 10.48550/arXiv.2505.10223
type: conference-paper
pages: 1-29
year: '2025'
collection-title: International Conference on Medical Imaging with Deep Learning
conference: {MIDL 2025}
publisher: {Proceedings of Machine Learning Research}
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