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A Deep Metric for Multimodal Registration

arXiv 1609.05396 ↗First posted 17 Sep 2016cs.CV cs.LG cs.NEcited by 19

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Abstract (arXiv)

Multimodal registration is a challenging problem in medical imaging due the high variability of tissue appearance under different imaging modalities. The crucial component here is the choice of the right similarity measure. We make a step towards a general learning-based solution that can be adapted to specific situations and present a metric based on a convolutional neural network. Our network can be trained from scratch even from a few aligned image pairs. The metric is validated on intersubject deformable registration on a dataset different from the one used for training, demonstrating good generalization. In this task, we outperform mutual information by a significant margin.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Sep 2016.

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Citing papers per year: 2021: 4; 2022: 7; 2023: 1; 2024: 4; 2025: 1; 2026: 2.

19 papers.

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  1. 2021Recent advances and clinical applications of deep learning in medical image analysiscited by 104
  2. 2022Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectivescited by 32
  3. 2024MedIAnomaly: A comparative study of anomaly detection in medical imagescited by 25
  4. 2024multiGradICON: A Foundation Model for Multimodal Medical Image Registrationcited by 16
  5. 2022X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computingcited by 10
  6. 2021Semantic similarity metrics for learned image registrationcited by 9
  7. 2022ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registrationcited by 9
  8. 2022Cross-Modality Image Registration using a Training-Time Privileged Third Modalitycited by 9
  9. 2022Deep Learning for Medical Image Registration: A Comprehensive Reviewcited by 8
  10. 2023MAD: Modality Agnostic Distance Measure for Image Registrationcited by 7
  11. 2021Regularized directional representations for medical image registrationcited by 3
  12. 2025Modality-Aware Feature Matching in Visual and Vision-Language Applications: A Comprehensive Surveycited by 2
7 more
  1. 2022Unsupervised Image Registration Towards Enhancing Performance and Explainability in Cardiac And Brain Image Analysiscited by 1
  2. 2024General Vision Encoder Features as Guidance in Medical Image Registrationcited by 1
  3. 2024MambaReg: Mamba-Based Disentangled Convolutional Sparse Coding for Unsupervised Deformable Multi-Modal Image Registrationcited by 1
  4. 2021D-Net: Siamese based Network with Mutual Attention for Volume Alignmentcited by 0
  5. 2022An overview of deep learning in medical imagingcited by 0
  6. 2026CoRe: Joint Optimization with Contrastive Learning for Medical Image Registrationcited by 0
  7. 2026Benchmarking Intra-Patient 3D Deformable Multimodal Image Registrationcited by 0