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Deep Learning in Medical Image Registration: A Review

arXiv 1912.12318 ↗First posted 27 Dec 2019eess.IV cs.CV cs.LGcited by 98

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Abstract (arXiv)

This paper presents a review of deep learning (DL) based medical image registration methods. We summarized the latest developments and applications of DL-based registration methods in the medical field. These methods were classified into seven categories according to their methods, functions and popularity. A detailed review of each category was presented, highlighting important contributions and identifying specific challenges. A short assessment was presented following the detailed review of each category to summarize its achievements and future potentials. We provided a comprehensive comparison among DL-based methods for lung and brain deformable registration using benchmark datasets. Lastly, we analyzed the statistics of all the cited works from various aspects, revealing the popularity and future trend of development in medical image registration using deep learning.

Key facts. Cited by 98 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Dec 2019.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 18; 2022: 16; 2023: 21; 2024: 22; 2025: 17; 2026: 4.

98 papers.

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  1. 2021Recent advances and clinical applications of deep learning in medical image analysiscited by 104
  2. 2023A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyondcited by 55
  3. 2023ModeT: Learning Deformable Image Registration via Motion Decomposition Transformercited by 23
  4. 2021The Impact of Machine Learning on 2D/3D Registration for Image-guided Interventions: A Systematic Review and Perspectivecited by 22
  5. 2024Deep Learning in Medical Image Registration: Magic or Mirage?cited by 21
  6. 2023Anatomy-aware and acquisition-agnostic joint registration with SynthMorphcited by 19
  7. 2021Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Trainingcited by 17
  8. 2024P3-PO: Prescriptive Point Priors for Visuo-Spatial Generalization of Robot Policiescited by 16
  9. 2021LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imagingcited by 11
  10. 2025From Screens to Scenes: A Survey of Embodied AI in Healthcarecited by 10
  11. 2021Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Studycited by 9
  12. 2021Deformation-Compensated Learning for Image Reconstruction without Ground Truthcited by 9
38 more
  1. 2021Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancercited by 8
  2. 2022Deep Learning for Medical Image Registration: A Comprehensive Reviewcited by 8
  3. 2025Synthetic CT image generation from CBCT: A Systematic Reviewcited by 8
  4. 2022Closed-Form Diffeomorphic Transformations for Time Series Alignmentcited by 7
  5. 2021Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scanscited by 6
  6. 2021Fast computation of mutual information in the frequency domain with applications to global multimodal image alignmentcited by 6
  7. 2025Guiding Registration with Emergent Similarity from Pre-Trained Diffusion Modelscited by 6
  8. 2022AFFIRM: Affinity Fusion-based Framework for Iteratively Random Motion correction of multi-slice fetal brain MRIcited by 5
  9. 2022Medical image registration using unsupervised deep neural network: A scoping literature reviewcited by 5
  10. 2022Deformation equivariant cross-modality image synthesis with paired non-aligned training datacited by 5
  11. 2023CartiMorph: a framework for automated knee articular cartilage morphometricscited by 5
  12. 2023Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big datacited by 5
  13. 2024Deep Implicit Optimization enables Robust Learnable Features for Deformable Image Registrationcited by 5
  14. 2021MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration networkcited by 4
  15. 2022Meta-Learning Initializations for Interactive Medical Image Registrationcited by 4
  16. 2023Deep Learning of Crystalline Defects from TEM images: A Solution for the Problem of "Never Enough Training Data"cited by 4
  17. 2023A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaborationcited by 4
  18. 2024An Optimization-based Baseline for Rigid 2D/3D Registration Applied to Spine Surgical Navigation Using CMA-EScited by 4
  19. 2024LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registrationcited by 4
  20. 2024ModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image Registrationcited by 4
  21. 2021Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosiscited by 3
  22. 2022Generative Aging of Brain Images with Diffeomorphic Registrationcited by 3
  23. 2023Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentationcited by 3
  24. 2023A Deep Registration Method for Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritiscited by 3
  25. 2023ORRN: An ODE-based Recursive Registration Network for Deformable Respiratory Motion Estimation with Lung 4DCT Imagescited by 3
  26. 2023Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset braincited by 3
  27. 2024CPT-Interp: Continuous sPatial and Temporal Motion Modeling for 4D Medical Image Interpolationcited by 3
  28. 2024Large Language Models for Multimodal Deformable Image Registrationcited by 3
  29. 2024An Uncertainty-Aware Generalization Framework for Cardiovascular Image Segmentationcited by 3
  30. 2021COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancingcited by 2
  31. 2021Probabilistic feature extraction, dose statistic prediction and dose mimicking for automated radiation therapy treatment planningcited by 2
  32. 2021Advancing biological super-resolution microscopy through deep learning: a brief reviewcited by 2
  33. 2021A Resolution Enhancement Plug-in for Deformable Registration of Medical Imagescited by 2
  34. 2022Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memorycited by 2
  35. 2022FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image Segmentationcited by 2
  36. 2023Employing similarity to highlight differences: On the impact of anatomical assumptions in chest X-ray registration methodscited by 2
  37. 2023On the Localization of Ultrasound Image Slices within Point Distribution Modelscited by 2
  38. 2024Semi-weakly-supervised neural network training for medical image registrationcited by 2

50 most cited of 98 All 98 (JSON)