most citedEncoder-Only Image Registration

4 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

eess.IV2025

Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges

Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer +51

Medical image registration is critical for clinical applications, and fair benchmarking of different methods is essential for monitoring ongoing progress in the field. To date, the…

cs.CV2025★ 4 cited

Encoder-Only Image Registration

Xiang Chen, Renjiu Hu, Jinwei Zhang +5

Learning-based techniques have significantly improved the accuracy and speed of deformable image registration. However, challenges such as reducing computational complexity and han…

cs.CV2025

Gaussian Primitive Optimized Deformable Retinal Image Registration

Xin Tian, Jiazheng Wang, Yuxi Zhang +5

Deformable retinal image registration is notoriously difficult due to large homogeneous regions and sparse but critical vascular features, which cause limited gradient signals in s…

eess.IV2025

VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT Registration

Hang Zhang, Yuxi Zhang, Jiazheng Wang +5

Recent developments in neural networks have improved deformable image registration (DIR) by amortizing iterative optimization, enabling fast and accurate DIR results. However, lear…

cs.SE2025

LLMs are Bug Replicators: An Empirical Study on LLMs' Capability in Completing Bug-prone Code

Liwei Guo, Sixiang Ye, Zeyu Sun +6

Large Language Models (LLMs) have demonstrated remarkable performance in code completion. However, the training data used to develop these models often contain a significant amount…

cs.CV2024

Large Scale Unsupervised Brain MRI Image Registration Solution for Learn2Reg 2024

Yuxi Zhang, Xiang Chen, Jiazheng Wang +5

In this paper, we summarize the methods and experimental results we proposed for Task 2 in the learn2reg 2024 Challenge. This task focuses on unsupervised registration of anatomica…

cs.CV2024

Unsupervised Multimodal 3D Medical Image Registration with Multilevel Correlation Balanced Optimization

Jiazheng Wang, Xiang Chen, Yuxi Zhang +3

Surgical navigation based on multimodal image registration has played a significant role in providing intraoperative guidance to surgeons by showing the relative position of the ta…