mlsanityData to 7 Oct 2026

Medical Image Registration and Its Application in Retinal Images: A Review

arXiv 2403.16502 ↗First posted 25 Mar 2024cs.CVcited by 3

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Abstract (arXiv)

Medical image registration is vital for disease diagnosis and treatment with its ability to merge diverse information of images, which may be captured under different times, angles, or modalities. Although several surveys have reviewed the development of medical image registration, these surveys have not systematically summarized methodologies of existing medical image registration methods. To this end, we provide a comprehensive review of these methods from traditional and deep learning-based directions, aiming to help audiences understand the development of medical image registration quickly. In particular, we review recent advances in retinal image registration at the end of each section, which has not attracted much attention. Additionally, we also discuss the current challenges of retinal image registration and provide insights and prospects for future research.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 56 of its 148 references that are in the map. First posted on arXiv 25 Mar 2024.

Builds on

56 of 148 references.

References · 56

  1. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  2. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  3. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  4. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  5. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
  6. 2015Spatial Transformer Networkscited by 1,423
  7. 2017SuperPoint: Self-Supervised Interest Point Detection and Descriptioncited by 1,313
  8. 2017Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networkscited by 707
  9. 2018VoxelMorph: A Learning Framework for Deformable Medical Image Registrationcited by 657
  10. 2020Contrastive Learning for Unpaired Image-to-Image Translationcited by 637
  11. 2019Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfacescited by 186
  12. 2018A Deep Learning Framework for Unsupervised Affine and Deformable Image Registrationcited by 160
38 more
  1. 2021Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learningcited by 125
  2. 2019Deep Learning in Medical Image Registration: A Surveycited by 124
  3. 2017Quicksilver: Fast Predictive Image Registration - a Deep Learning Approachcited by 113
  4. 2015Learning to Compare Image Patches via Convolutional Neural Networkscited by 109
  5. 2020Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networkscited by 107
  6. 2019Recursive Cascaded Networks for Unsupervised Medical Image Registrationcited by 105
  7. 2018Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registrationcited by 90
  8. 2021ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registrationcited by 87
  9. 2020CycleMorph: Cycle Consistent Unsupervised Deformable Image Registrationcited by 78
  10. 2017End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Networkcited by 75
  11. 2019DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentationcited by 66
  12. 2019Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Networkcited by 62
  13. 2021DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Modelcited by 57
  14. 2019Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representationscited by 52
  15. 2019Dual-Stream Pyramid Registration Networkcited by 52
  16. 2022XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attentioncited by 46
  17. 2020DeepFLASH: An Efficient Network for Learning-based Medical Image Registrationcited by 37
  18. 2022Affine Medical Image Registration with Coarse-to-Fine Vision Transformercited by 35
  19. 2018BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networkscited by 28
  20. 2022Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matchingcited by 27
  21. 2020Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registrationcited by 25
  22. 2018Non-Rigid Image Registration Using Self-Supervised Fully Convolutional Networks without Training Datacited by 24
  23. 2023ModeT: Learning Deformable Image Registration via Motion Decomposition Transformercited by 23
  24. 2020Medical Image Registration Using Deep Neural Networks: A Comprehensive Reviewcited by 22
  25. 2020Learning Deformable Registration of Medical Images with Anatomical Constraintscited by 19
  26. 2015Real-time 2D/3D Registration via CNN Regressioncited by 15
  27. 2017Non-rigid image registration using fully convolutional networks with deep self-supervisioncited by 12
  28. 2018AIRNet: Self-Supervised Affine Registration for 3D Medical Images using Neural Networkscited by 12
  29. 2019A Two Stage GAN for High Resolution Retinal Image Generation and Segmentationcited by 12
  30. 2021Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledgecited by 12
  31. 2022Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translationcited by 11
  32. 2021Semantic similarity metrics for learned image registrationcited by 9
  33. 2022Robust Image Registration with Absent Correspondences in Pre-operative and Follow-up Brain MRI Scans of Diffuse Glioma Patientscited by 9
  34. 2022Deep Learning for Medical Image Registration: A Comprehensive Reviewcited by 8
  35. 2018Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Informationcited by 7
  36. 2020Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Surveycited by 7
  37. 2022Denoising diffusion probabilistic models for probabilistic energy forecastingcited by 6
  38. 2018A Comparative Analysis of Registration Tools: Traditional vs Deep Learning Approach on High Resolution Tissue Cleared Datacited by 5

50 most cited of 56 All 56 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.

  1. 2025COph100: A comprehensive fundus image registration dataset from infants constituting the "RIDIRP" databasecited by 0
  2. 2026Active Diffusion Matching: Score-based Iterative Alignment of Cross-Modal Retinal Imagescited by 0
  3. 2026Modality-Invariant Coarse-to-Fine Retinal Image Registrationcited by 0