Unsupervised Image Registration

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

12 shown of 12 papers with code (22 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.

• 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.
• MORPH-LER: Log-Euclidean Regularization for Population-Aware Image Registration
  4 Feb 2025 1 repository listed
  The framework offers two main contributions: (1) a data-driven regularization strategy that incorporates population-level anatomical statistics to enhance transformation validity and (2) a linearized latent space that…
• UTSRMorph: A Unified Transformer and Superresolution Network for Unsupervised Medical Image Registration
  27 Oct 2024 1 repository listed
  We propose a novel unsupervised image registration method named the unified Transformer and superresolution (UTSRMorph) network, which can enhance feature representation learning in the encoder and generate detailed…
• 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.
• Fourier-Net+: Leveraging Band-Limited Representation for Efficient 3D Medical Image Registration
  6 Jul 2023 1 repository listed
  Instead of directly predicting a full-resolution displacement field, our Fourier-Net learns a low-dimensional representation of the displacement field in the band-limited Fourier domain which our model-driven decoder…
• RFR-WWANet: Weighted Window Attention-Based Recovery Feature Resolution Network for Unsupervised Image Registration
  7 May 2023 1 repository listed
  Furthermore, shifted window partitioning operations are inflexible, indicating that they cannot perceive the semantic information over uncertain distances and automatically bridge the global connections between windows.
• Fourier-Net: Fast Image Registration with Band-limited Deformation
  29 Nov 2022 1 repository listed
  Specifically, instead of our Fourier-Net learning to output a full-resolution displacement field in the spatial domain, we learn its low-dimensional representation in a band-limited Fourier domain.
• Symmetric Transformer-based Network for Unsupervised Image Registration
  28 Apr 2022 1 repository listed
  Medical image registration is a fundamental and critical task in medical image analysis.
• Leveraging Unsupervised Image Registration for Discovery of Landmark Shape Descriptor
  13 Nov 2021 1 repository listed
  We use landmark-driven image registration as the primary task to force the neural network to discover landmarks that register the images well.
• FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical Flow
  24 Jan 2021 1 repository listed
  The photometric loss minimizes pixel intensity differences differences, the smoothness loss encourages similar magnitudes between neighbouring vectors, and a correlation loss that is used to maintain the intensity…
• DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration
  27 Jan 2020 1 repository listed
  In this work, we present a novel unsupervised image registration algorithm.
• DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation
  17 Apr 2019 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Specifically, in a one-shot-scenario (with only one manually labeled image) our approach increases Dice scores (%) over an unsupervised registration network by 2.

Syntology lines on 1 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.