Medical Image Registration ML Frameworks
Deep learning frameworks and methods for aligning medical images across modalities and time points, with focus on deformable registration, uncertainty quantification, and foundation models. Does NOT include general image super-resolution, denoising, or restoration without registration components.
There are 28 medical image registration frameworks tracked. 1 score above 70 (verified tier). The highest-rated is voxelmorph/voxelmorph at 70/100 with 2,661 stars.
Get all 28 projects as JSON
curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=medical-image-registration&limit=20"
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
voxelmorph/voxelmorph
Unsupervised Learning for Image Registration |
|
Verified |
| 2 |
uncbiag/uniGradICON
uniGradICON: A Foundation Model for Medical Image Registration (MICCAI 2024) |
|
Established |
| 3 |
junyuchen245/TransMorph_Transformer_for_Medical_Image_Registration
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch) |
|
Established |
| 4 |
DeepRegNet/DeepReg
Medical image registration using deep learning |
|
Emerging |
| 5 |
MLI-lab/DeepDeWedge
Self-supervised deep learning for denoising and missing wedge reconstruction... |
|
Emerging |
| 6 |
guopengf/FL-MRCM
Multi-institutional Collaborations for Improving Deep Learning-based... |
|
Emerging |
| 7 |
guopengf/ReconFormer
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer |
|
Emerging |
| 8 |
konst-int-i/healnet
Multimodal fusion for heterogeneous biomedical data. NeurIPS 2024. |
|
Emerging |
| 9 |
ayanglab/SwinMR
This is the official implementation of our proposed SwinMR |
|
Emerging |
| 10 |
AgamChopra/TorchRegister
Common 2D and 3D image registration methods such as rigid, affine, and flow... |
|
Emerging |
| 11 |
MungoMeng/Registration-NICE-Trans
[MICCAI2023] NICE-Trans: Non-iterative Coarse-to-fine Transformer Networks... |
|
Emerging |
| 12 |
lok-18/GeSeNet
IEEE TNNLS | GeSeNet: A General Semantic-guided Network with Couple Mask... |
|
Emerging |
| 13 |
Computer-Assisted-Clinical-Medicine/Networks_for_Affine_Medical_Image_Registration
Affine medical image registration using deep learning |
|
Emerging |
| 14 |
lab-midas/GMARAFT
Non-rigid image registration for accelerated MR imaging |
|
Emerging |
| 15 |
jianqingzheng/res_aligner_net
[Medical Image Analysis] Residual Aligner-based Network (RAN): Motion-Aware... |
|
Emerging |
| 16 |
simonZhou86/dilran
An attention-based Multi-Scale Feature Learning Framework for Multimodal... |
|
Emerging |
| 17 |
ayanglab/SwinGANMR
Official implementation of SwinGANMR |
|
Emerging |
| 18 |
MungoMeng/Registration-CorrMLP
[CVPR2024 🏆 Best Paper Candidate] CorrMLP: Correlation-aware MLP-based... |
|
Emerging |
| 19 |
cxm12/UNiFMIR
Pretraining a foundation model for generalizable fluorescence... |
|
Emerging |
| 20 |
longw010/Low_Field_Enhancement
The official implementation of `Quantitative Ischemic Lesions of Portable... |
|
Emerging |
| 21 |
B9Kang/MD-S2S-Multidimensional-Self2Self
[MRM 2024] Self-supervised learning for denoising of multidimensional MRI data |
|
Emerging |
| 22 |
AIRLABkhu/SiNGER
Official implementation of SiNGER (ICLR 2026). |
|
Experimental |
| 23 |
icon-lab/FedGAT
Official implementation of FedGAT: Generative Autoregressive Transformers... |
|
Experimental |
| 24 |
MungoMeng/Registration-AutoFuse
AutoFuse: Automatic Fusion Networks for Unsupervised and Semi-supervised... |
|
Experimental |
| 25 |
kamruleee51/Feedback_DLIR
A spatial feedback attention module (FBA) to enhance unsupervised 3D DLIR |
|
Experimental |
| 26 |
junyuchen245/Correlation_Ratio
Correlation Ratio for multi- and mono-modal image registration (PyTorch) |
|
Experimental |
| 27 |
AllenInstitute/deep_ccf_registration
Arbitrary modality registration to CCFv3 using deep learning |
|
Experimental |
| 28 |
icai-uma/SRCNN3D_RegSS
Deep learning-based SR of 3D MRI by Regularly Spaced Shifting |
|
Experimental |