【源码】voxelmorph：图像配准的无监督学习

基于CNNs的图像配准无监督学习

Unsupervised Learning with CNNs for Image Registration

该源码包含多个变体，首先在CVPR2018（初始无监督学习）和MICCAI2018（概率和微分公式）上提出

This repository incorporates several variants, first presented at CVPR2018 (initial unsupervised learning) and then MICCAI2018 (probabilistic & diffeomorphic formulation)

关键词：

keywords: machine learning, convolutional neural networks, alignment, mapping, registration

参考文献：

For the diffeomorphic or probabilistic model:

Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces

Adrian V. Dalca, Guha Balakrishnan, John Guttag, Mert R. Sabuncu

MedIA: Medial Image Analysis. 2019. eprint arXiv:1903.03545

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

Adrian V. Dalca, Guha Balakrishnan, John Guttag, Mert R. Sabuncu

MICCAI 2018. eprint arXiv:1805.04605

For the original CNN model, MSE, CC, or segmentation-based losses:

VoxelMorph: A Learning Framework for Deformable Medical Image Registration

Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John Guttag, Adrian V. Dalca

IEEE TMI: Transactions on Medical Imaging. 2019. eprint arXiv:1809.05231

An Unsupervised Learning Model for Deformable Medical Image Registration

Guha Balakrishnan, Amy Zhao, Mert R. Sabuncu, John Guttag, Adrian V. Dalca

CVPR 2018. eprint arXiv:1802.02604

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