A curation of medical image registration papers and source codes. This repository is actively maintained by MICCAI SIG-BIR.
The importance of image registration in medical imaging is underrepresented at MICCAI, largely due to the complexity of applying deep learning to its ill-posed nature without real ground truth. In response, the MICCAI Special Interest Group in Biomedical Image Registration (MICCAI SIG-BIR) is launching several initiatives aimed at uniting the fragmented image registration community and promoting research in the field. One such initiative is the creation of an Awesome Medical Image Registration GitHub page that will curate well-documented, out-of-the-box code applicable to at least two Learn2Reg tasks. This repository is designed to serve that purpose.
Learn2Reg is a public computational challenge organized by MICCAI SIG-BIR, featuring 12 datasets with labels and multiple active leaderboards. You can explore more at learn2reg.grand-challenge.org
Syntax:
* **Publication Title**, First Author et al.
* :newspaper: [Journal/Conference Name]
* :computer: [*Learn2Reg Tasks*]
* :link: [Paper Link][GitHub Link]
- SITReg: Multi-resolution architecture for symmetric, inverse consistent, and topology preserving image registration, Joel Honkamaa and Pekka Marttinen.
- ConvexAdam: Self-Configuring Dual-Optimisation-Based 3D Multitask Medical Image Registration, Siebert et al.
- Fourier-Net+: Leveraging Band-Limited Representation for Efficient 3D Medical Image Registration, Xi et al.
- 📰 [AAAI 2023, arXiv 2024]
- 💻 [OncoReg, NLST, ThoraxCBCT]
- 🔗 [Paper (AAAI)]Paper (arXiv)][GitHub]
- Vector Field Attention for Deformable Image Registration, Liu et al.
- Learning Physics-Inspired Regularization for Medical Image Registration with Hypernetworks, Reithmeir et al.
- TransMorph: Transformer for unsupervised medical image registration, Chen et al.
- U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?, Xi et al.
- Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation, Chen et al.
- Learning a deformable registration pyramid, Gunnarsson et al.
- Attention-based Deep Learning Registration (ADLReg), Pan et al.
- 📰 [-, 2021]
- 💻 [Abdomen MR-CT, Abdomen CT-CT, OASIS]
- 🔗 [GitHub]
- MONAI Tutorials, MONAI NVIDIA.
- 📰 [-, 2021]
- 💻 [NLST, OASIS]
- 🔗 [GitHub]
- Deep learning based registration using spatial gradients and noisy segmentation labels, Estienne et al.
- 📰 [MICCAI Learn2Reg, 2020]
- 💻 [Hippocampus MR, Abdomen CT-CT]
- 🔗 [Paper][GitHub-Hippocampus][GitHub-Abdomen-CT-CT]
- SimpleElastix for abdomen CT-CT registration, Fourcade
- Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks, Mok et al.
