most citedAdversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration

3 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2020

Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance

Zhe Xu, Jiangpeng Yan, Jie Luo +2

Multimodal image registration (MIR) is a fundamental procedure in many image-guided therapies. Recently, unsupervised learning-based methods have demonstrated promising performance…

cs.CV20203 cited

Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks

Zhe Xu, Jiangpeng Yan, Jie Luo +3

The loss function of an unsupervised multimodal image registration framework has two terms, i.e., a metric for similarity measure and regularization. In the deep learning era, rese…

cs.SI2020

Match4Rec: A Novel Recommendation Algorithm Based on Bidirectional Encoder Representation with the Matching Task

Lingxiao Zhang, Jiangpeng Yan, Yujiu Yang +1

Characterizing users' interests accurately plays a significant role in an effective recommender system. The sequential recommender system can learn powerful hidden representations…

eess.IV2020

F3RNet: Full-Resolution Residual Registration Network for Deformable Image Registration

Zhe Xu, Jie Luo, Jiangpeng Yan +2

Deformable image registration (DIR) is essential for many image-guided therapies. Recently, deep learning approaches have gained substantial popularity and success in DIR. Most dee…

eess.IV20203 cited

Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration

Zhe Xu, Jie Luo, Jiangpeng Yan +4

Deformable image registration between Computed Tomography (CT) images and Magnetic Resonance (MR) imaging is essential for many image-guided therapies. In this paper, we propose a…