mlsanityData to 14 Oct 2026

Generative Adversarial Registration for Improved Conditional Deformable Templates

arXiv 2105.04349 ↗First posted 7 May 2021cs.CV cs.LG eess.IVcited by 31

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Abstract (arXiv)

Deformable templates are essential to large-scale medical image registration, segmentation, and population analysis. Current conventional and deep network-based methods for template construction use only regularized registration objectives and often yield templates with blurry and/or anatomically implausible appearance, confounding downstream biomedical interpretation. We reformulate deformable registration and conditional template estimation as an adversarial game wherein we encourage realism in the moved templates with a generative adversarial registration framework conditioned on flexible image covariates. The resulting templates exhibit significant gain in specificity to attributes such as age and disease, better fit underlying group-wise spatiotemporal trends, and achieve improved sharpness and centrality. These improvements enable more accurate population modeling with diverse covariates for standardized downstream analyses and easier anatomical delineation for structures of interest.

Key facts. Cited by 31 papers in the map (data through 14 Oct 2026). Builds on 38 of its 109 references that are in the map. First posted on arXiv 7 May 2021.

Builds on

38 of 109 references.

References · 38

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26 more
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 3; 2022: 5; 2023: 9; 2024: 3; 2025: 9; 2026: 2.

31 papers.

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  1. 2022Diffusion Deformable Model for 4D Temporal Medical Image Generationcited by 65
  2. 2023A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyondcited by 55
  3. 2021NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registrationcited by 28
  4. 2022Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning with Pairwise Alignmentcited by 18
  5. 2024CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brainscited by 14
  6. 2022Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanicscited by 11
  7. 2022ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registrationcited by 9
  8. 2025Synthesizing Individualized Aging Brains in Health and Disease with Generative Models and Parallel Transportcited by 9
  9. 2025MultiMorph: On-demand Atlas Constructioncited by 9
  10. 2024Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlasescited by 8
  11. 2023CartiMorph: a framework for automated knee articular cartilage morphometricscited by 5
  12. 2021LDDMM meets GANs: Generative Adversarial Networks for diffeomorphic registrationcited by 4
19 more
  1. 2023Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-seriescited by 4
  2. 2023JOSA: Joint surface-based registration and atlas construction of brain geometry and functioncited by 4
  3. 2025CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Braincited by 3
  4. 2025AtlasMorph: Learning conditional deformable templates for brain MRIcited by 3
  5. 2022InstantGroup: Instant Template Generation for Scalable Group of Brain MRI Registrationcited by 2
  6. 2023Joint cortical registration of geometry and function using semi-supervised learningcited by 2
  7. 2023A deformation-based morphometry framework for disentangling Alzheimer's disease from normal aging using learned normal aging templatescited by 2
  8. 2024TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correctioncited by 2
  9. 2025UniReg: Conditional Unified Model for Medical Image Registrationcited by 2
  10. 2023TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correctioncited by 1
  11. 2023Deep learning in medical image registration: introduction and surveycited by 1
  12. 2025Identity Preserving Latent Diffusion for Brain Aging Modelingcited by 1
  13. 2025Conditional Fetal Brain Atlas Learning for Automatic Tissue Segmentationcited by 1
  14. 2021Dual-Flow Transformation Network for Deformable Image Registration with Region Consistency Constraintcited by 0
  15. 2023Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal Echocardiographycited by 0
  16. 2025Generating Novel Brain Morphology by Deforming Learned Templatescited by 0
  17. 2025An Efficient Model-Driven Groupwise Approach for Atlas Constructioncited by 0
  18. 2026INFANiTE: Implicit Neural representation for high-resolution Fetal brain spatio-temporal Atlas learNing from clinical Thick-slicE MRIcited by 0
  19. 2026Atlases Are Already Inside: Recovering Population Templates from Pretrained Diffusion Modelscited by 0