voxelmorph

[ICCV 2021] Generative Adversarial Registration for Improved Conditional Deformable Templates

[ICCV 2023] Code for the paper "Preserving Volume for Unsupervised Registration"

3D image registration training framework using adaptive loss weighting and synthetic data generation

VoxelMorph 无监督医学图像配准 PyTorch 复现与改进探究工程：原生基线 OASIS 脑 MRI 数据集完整复现、Mamba-SSM 主干替换消融对照、微分同胚 SVF 积分 (积分步数 7) 验证、2D 脑部成对配准训练链路；配套形变场量化评测指标（Dice 系数、Jacobian 折叠率、形变平滑损失），留存非刚性配准学习笔记、实验日志与代码探索记录，欢迎讨论交流。

Image Registration on Chest CT Volumes

Hybrid Affine–Residual Deep Learning Framework for Tumor-Aware Multimodal Brain MRI Registration with NSGA-Based Loss Optimization.

Reproducible failure analysis and QC pipeline for silent NIfTI dtype quantization in VoxelMorph MRI registration.

Python implementation of training a model for multimodal deformable image registration

In this Repo., we are going to train a voxelmorph network to do the unsupervised image registration task. In this project, we use CHAOS MR T2 dataset. Here we use dice score to evaluate our model.

dMRI Distortion Correction: A Deep Learning-based Registration Approach