Deformable Medical Image Registration

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Most implemented papers archive 2025-07-28

21 shown of 21 papers with code (37 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• VoxelMorph: A Learning Framework for Deformable Medical Image Registration
  14 Sep 2018 9 repositories listed
  In contrast to this approach, and building on recent learning-based methods, we formulate registration as a function that maps an input image pair to a deformation field that aligns these images.
• An Unsupervised Learning Model for Deformable Medical Image Registration
  7 Feb 2018 3 repositories listed
  We define registration as a parametric function, and optimize its parameters given a set of images from a collection of interest.
• Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces
  8 Mar 2019 2 repositories listed
  We present a probabilistic generative model and derive an unsupervised learning-based inference algorithm that uses insights from classical registration methods and makes use of recent developments in convolutional…
• IMPACT: A Generic Semantic Loss for Multimodal Medical Image Registration
  31 Mar 2025 1 repository listed
  Image registration is fundamental in medical imaging, enabling precise alignment of anatomical structures for diagnosis, treatment planning, image-guided interventions, and longitudinal monitoring.
• Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention
  24 Dec 2024 1 repository listed
  However, the high computation and memory loads of SA (growing quadratically with the spatial resolution) hinder transformers from processing subtle textural information in high-resolution image features, e.
• NestedMorph: Enhancing Deformable Medical Image Registration with Nested Attention Mechanisms
  3 Oct 2024 1 repository listed
  The promising outcomes of this study underscore NestedMorph's potential to significantly advance deformable medical image registration, providing a robust framework for future research and clinical applications.
• Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration
  31 May 2024 1 repository listed Syntology ran 14 of 17 samples · 3 unverified · 17 pointer-only (licence)
  However, due to the high computation/memory loads of self-attention, transformers are typically used at downsampled feature resolutions and cannot capture fine-grained long-range dependence at the full image resolution.
• A light-weight rectangular decomposition large kernel convolution network for deformable medical image registration.
  27 May 2024 1 repository listed
  The RD-LKA layer utilizes anisotropic depth-wise large kernel convolutions to capture large receptive fields with an extremely low parameter count while modeling long-range spatial relationships.
• Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registration
  21 Nov 2023 1 repository listed
  Deformable image registration, the estimation of the spatial transformation between different images, is an important task in medical imaging.
• AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration
  11 Sep 2023 1 repository listed
  However, DNN-based registration needs to explore the spatial information of each image and fuse this information to characterize spatial correspondence.
• SITReg: Multi-resolution architecture for symmetric, inverse consistent, and topology preserving image registration
  17 Mar 2023 1 repository listed
  Popular classical image registration methods enforce the useful inductive biases of symmetricity, inverse consistency, and topology preservation by construction.
• ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration
  6 Dec 2022 1 repository listed
  Recent research on deformable image registration is mainly focused on improving the registration accuracy using multi-stage alignment methods, where the source image is repeatedly deformed in stages by a same neural…
• XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention
  15 Jun 2022 1 repository listed
  An effective backbone network is important to deep learning-based Deformable Medical Image Registration (DMIR), because it extracts and matches the features between two images to discover the mutual correspondence for…
• Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions
  14 Mar 2022 1 repository listed
  Deformable image registration plays a critical role in various tasks of medical image analysis.
• Coordinate Translator for Learning Deformable Medical Image Registration
  5 Mar 2022 1 repository listed
  The majority of deep learning (DL) based deformable image registration methods use convolutional neural networks (CNNs) to estimate displacement fields from pairs of moving and fixed images.
• Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration
  14 Dec 2021 1 repository listed
  We evaluate our method on several 2D and 3D medical image datasets, some of which contain large deformations.
• Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021
  6 Dec 2021 1 repository listed Syntology ran 0 of 16 samples · 16 unverified
  Current approaches for deformable medical image registration often struggle to fulfill all of the following criteria: versatile applicability, small computation or training times, and the being able to estimate large…
• Learning Conditional Deformable Templates with Convolutional Networks
  7 Aug 2019 1 repository listed
  We develop a learning framework for building deformable templates, which play a fundamental role in many image analysis and computational anatomy tasks.
• One Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking
  10 Jul 2019 1 repository listed
  In this work we present a one shot registration approach for periodic motion tracking in 3D and 4D datasets.
• Metric Learning for Image Registration
  21 Apr 2019 1 repository listed
  Our approach is a radical departure from existing deep learning approaches to image registration by embedding a deep learning model in an optimization-based registration algorithm to parameterize and data-adapt the…
• Deformable medical image registration: setting the state of the art with discrete methods
  15 Aug 2011 1 repository listed
  To cope with both iconic and geometric (landmark-based) registration, we introduce two graphical models, one for each subproblem.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.