@inproceedings{f604b8514e4d4b349ce69f27feeca178,
title = "VAN: Voting and Attention Based Network for Unsupervised Medical Image Registration",
abstract = "In this paper, a novel unsupervised network for medical image registration called VAN (Voting and Attention based Network) is proposed, in which the final deformation field is determined by the voting process between multiple registration branches. To reduce model parameters, multiple registration branches share one encoder. Besides, the attention mechanism is introduced, which further improves the network accuracy. We also adopt the method of single training and multiple-registrations to deal with the problem of the large deformation field. The experimental results show that the registration effect of our proposed network outperforms the baselines VoxelMorph and Symmetric Normalization (SyN) on three brain MRI image datasets.",
keywords = "Attention mechanism, Medical image registration, Multiple-registrations, Voting process",
author = "Zhiang Zu and Guixu Zhang and Yaxin Peng and Zhen Ye and Chaomin Shen",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021 ; Conference date: 08-11-2021 Through 12-11-2021",
year = "2021",
doi = "10.1007/978-3-030-89188-6\_29",
language = "英语",
isbn = "9783030891879",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "382--393",
editor = "Pham, \{Duc Nghia\} and Thanaruk Theeramunkong and Guido Governatori and Fenrong Liu",
booktitle = "PRICAI 2021",
address = "德国",
}