From Local to Global: An Anatomy-Aware Deep Learning Approach for Deformable Registration of Brain MR Images-Reference-Cited by-同舟云学术

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From Local to Global: An Anatomy-Aware Deep Learning Approach for Deformable Registration of Brain MR Images

Published:2024-03-01 Issue: Volume: Page:353-357
ISSN:
Container-title:2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE)
language:
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Author:

Liu Haoyu¹,Pu Yuanyuan¹,Ni Jun¹,Wang Linfei¹,Wang Xiongbin²,Tao Dapeng¹,Yang Yanhua³

Affiliation:

1. School of Information Science and Engineering, Yunnan University,Kunming,China

2. The Second Affiliated Hospital of Kunming Medical University,Information Statistics Center,Kunming,China

3. School of Computer Science and Technology, Xidian University,Xi'an,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548022/10548040/10549474.pdf?arnumber=10549474

Reference10 articles.

1. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain

2. U-Net: Convolutional Networks for Biomedical Image Segmentation

3. Hierarchical anatomical structure-aware based thoracic CT images registration

4. Edge-Aware Pyramidal Deformable Network for Unsupervised Registration of Brain MR Images

5. VoxelMorph: A Learning Framework for Deformable Medical Image Registration

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