mlsanityData to 14 Oct 2026

Beyond the LUMIR challenge: The pathway to foundational registration models

arXiv 2505.24160 ↗First posted 30 May 2025eess.IV cs.CVcited by 12

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Abstract (arXiv)

Medical image challenges have played a transformative role in advancing the field, catalyzing innovation and establishing new performance benchmarks. Image registration, a foundational task in neuroimaging, has similarly advanced through the Learn2Reg initiative. Building on this, we introduce the Large-scale Unsupervised Brain MRI Image Registration (LUMIR) challenge, a next-generation benchmark for unsupervised brain MRI registration. Previous challenges relied upon anatomical label maps, however LUMIR provides 4,014 unlabeled T1-weighted MRIs for training, encouraging biologically plausible deformation modeling through self-supervision. Evaluation includes 590 in-domain test subjects and extensive zero-shot tasks across disease populations, imaging protocols, and species. Deep learning methods consistently achieved state-of-the-art performance and produced anatomically plausible, diffeomorphic deformation fields. They outperformed several leading optimization-based methods and remained robust to most domain shifts. These findings highlight the growing maturity of deep learning in neuroimaging registration and its potential to serve as a foundation model for general-purpose medical image registration.

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 35 of its 111 references that are in the map. First posted on arXiv 30 May 2025.

Builds on

35 of 111 references.

References · 35

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23 more
  1. 2018Why rankings of biomedical image analysis competitions should be interpreted with carecited by 91
  2. 2024uniGradICON: A Foundation Model for Medical Image Registrationcited by 58
  3. 2023A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyondcited by 55
  4. 20193D Whole Brain Segmentation using Spatially Localized Atlas Network Tilescited by 50
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  11. 2022Coordinate Translator for Learning Deformable Medical Image Registrationcited by 20
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  13. 2024MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filterscited by 13
  14. 2023Inverse Consistency by Construction for Multistep Deep Registrationcited by 12
  15. 2024Vector Field Attention for Deformable Image Registrationcited by 10
  16. 2024Mamba? Catch The Hype Or Rethink What Really Helps for Image Registrationcited by 9
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  18. 2024UltraCortex: Submillimeter Ultra-High Field 9.4 T Brain MR Image Collection and Manual Cortical Segmentationscited by 6
  19. 2022Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CTcited by 5
  20. 2021MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration networkcited by 4
  21. 2024ModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image Registrationcited by 4
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 7; 2026: 5.

12 papers.

  1. 2025Disentangling Progress in Medical Image Registration: Beyond Trend-Driven Architectures towards Domain-Specific Strategiescited by 4
  2. 2025The Brain Resection Multimodal Image Registration (ReMIND2Reg) 2025 Challengecited by 3
  3. 2025Encoder-Only Image Registrationcited by 3
  4. 2025The LUMirage: An independent evaluation of zero-shot performance in the LUMIR challengecited by 2
  5. 2025Uncertainty Estimation for Pretrained Medical Image Registration Models via Transformation Equivariancecited by 1
  6. 2025MSRepaint: Multiple Sclerosis Repaint with Conditional Denoising Diffusion Implicit Model for Bidirectional Lesion Filling and Synthesiscited by 1
  7. 2026An Artifact-based Agent Framework for Adaptive and Reproducible Medical Image Processingcited by 1
  8. 2025Surrogate Supervision for Robust and Generalizable Deformable Image Registrationcited by 0
  9. 2026Zero-shot Multi-Contrast Brain MRI Registration by Intensity Randomizing T1-weighted MRI (LUMIR25)cited by 0
  10. 2026Adapting Frozen Mono-modal Backbones for Multi-modal Registration via Contrast-Agnostic Instance Optimizationcited by 0
  11. 2026The Right Prior for the Right Deformation: Rethinking Continuous Deformable Image Registrationcited by 0
  12. 2026Is Deformable Image Registration Ready for Brain Metastasis Reirradiation Dose Accumulation? A Longitudinal MRI Benchmark of Registration Accuracycited by 0