[NeurIPS 2025] Deformable 2D/3D registration via polyrigid transforms
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Updated
Oct 22, 2025 - Python
[NeurIPS 2025] Deformable 2D/3D registration via polyrigid transforms
[Medical Image Analysis] Residual Aligner-based Network (RAN): Motion-Aware Structure for Coarse-to-fine Discontinuous Deformable Registration
PyTorch implementation of the descriptor DEAL presented at NeurIPS 2021 "Extracting Deformation-Aware Local Features by Learning to Deform".
Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge (IEEE Transactions on Medical Imaging 2021))
Probabilistic deformable medical image registration capable of uncertainty quantification using a hierarchical variational autoencoder (VAE) architecture. Published at MICCAI 2024 conference.
Respiratory motion forecasting from thoraco-abdominal cine MRI and external-marker position time series using RNNs trained online and transformers
🧠 MATLAB toolbox for grayscale image registration using affine control points, optimization, and deformable methods.
MICCAI'2025 | VoxelOpt: training-free deformable abdominal CT registration with voxel-adaptive message passing. Codex and Claude Code friendly PyTorch repo.
Demo of deformable registration methods utilizing voxelmorph
Intensity-based deformable CT–CT liver registration pipeline (contrast-enhanced to non-contrast). Research — documentation only, code confidential
Landmark-initialized diffeomorphic pipeline for CT–MRI liver registration (ablation planning) Research — documentation only, code confidential.
Python implementation of training a model for multimodal deformable image registration
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