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Overview

This repository hosts implementations of several projects I’ve contributed to, along with helpful preprocessing and post-processing utilities for medical image analysis. It also provides wrappers for selected external packages to enable seamless integration into TransMorph-like registration workflows.

I may include documentation and tutorial scripts depending on interest and available time.

📄 Included Projects

  1. Pretraining Deformable Image Registration Networks with Random Images
    Chen, Junyu, et al. MIDL Short Papers, 2025.
    [Paper] | [Repo]

  2. Correlation Ratio for Unsupervised Learning of Multi-modal Deformable Registration
    Chen, Xiaojian, et al. SPIE Medical Imaging: Image Processing, 2025.
    [Paper] | [Repo]

  3. Unsupervised Learning of Spatially Varying Regularization for Diffeomorphic Image Registration
    Chen, Junyu, et al. arXiv preprint arXiv:2412.17982 (2024).
    [Paper] | [Repo]

  4. Vector Field Attention for Deformable Image Registration
    Liu, Yihao, et al. Journal of Medical Imaging, 2024.
    [Paper] | [Repo]

  5. Unsupervised Learning of Multi-modal Affine Registration for PET/CT
    Chen, Junyu, et al. IEEE NSS/MIC/RTSD, 2024.
    [Paper] | [Repo]

  6. On Finite Difference Jacobian Computation in Deformable Image Registration
    Liu, Yihao, et al. IJCV, 2024.
    [Paper] | [Repo]

  7. Deformable Cross-Attention Transformer for Medical Image Registration
    Chen, Junyu, et al. MLMI Workshop, MICCAI 2023.
    [Paper] | [Repo]

  8. Unsupervised Learning of Diffeomorphic Image Registration via TransMorph
    Chen, Junyu, et al. WBIR 2022.
    [Paper] | [Repo]

  9. TransMorph: Transformer for Unsupervised Medical Image Registration
    Chen, Junyu, et al. Medical Image Analysis, 2022.
    [Paper] | [Repo]


🔌 External Wrappers Included

  1. Intensity Normalization Toolkit
    Reinhold, Jacob C., et al. SPIE, 2019.
    [Paper] | [Repo]

  2. ConvexAdam: Dual-Optimization-Based 3D Registration
    Siebert, Hanna, et al. IEEE TMI, 2024.
    [Paper] | [Repo]


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A deep learning-based medical image registration package based on PyTorch.

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