activity
20232026
most citedModeT: Learning Deformable Image Registration via Motion Decomposition Transformer

64 citations · 68 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Preoperative-to-intraoperative Liver Registration for Laparoscopic Surgery via Latent-Grounded Correspondence Constraints

Ruize Cui, Jialun Pei, Haiqiao Wang +4

In laparoscopic liver surgery, augmented reality technology enhances intraoperative anatomical guidance by overlaying 3D liver models from preoperative CT/MRI onto laparoscopic 2D…

cs.CV2024

FiRework: Field Refinement Framework for Efficient Enhancement of Deformable Registration

Haiqiao Wang, Dong Ni, Yi Wang

Deformable image registration remains a fundamental task in clinical practice, yet solving registration problems involving complex deformations remains challenging. Current deep le…

eess.IV2024

A Narrative Review of Image Processing Techniques Related to Prostate Ultrasound

Haiqiao Wang, Hong Wu, Zhuoyuan Wang +4

Prostate cancer (PCa) poses a significant threat to men's health, with early diagnosis being crucial for improving prognosis and reducing mortality rates. Transrectal ultrasound (T…

cs.CV2024

Encoding Matching Criteria for Cross-domain Deformable Image Registration

Zhuoyuan Wang, Haiqiao Wang, Yi Wang

Most existing deep learning-based registration methods are trained on single-type images to address same-domain tasks.However, cross-domain deformable registration remains challeng…

cs.CV2024★ 4 cited

ModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image Registration

Haiqiao Wang, Zhuoyuan Wang, Dong Ni +1

Deformable image registration plays a crucial role in medical imaging, aiding in disease diagnosis and image-guided interventions. Traditional iterative methods are slow, while dee…

cs.CV2024

Pyramid Attention Network for Medical Image Registration

Zhuoyuan Wang, Haiqiao Wang, Yi Wang

The advent of deep-learning-based registration networks has addressed the time-consuming challenge in traditional iterative methods.However, the potential of current registration n…

cs.CV2023★ 64 cited

ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer

Haiqiao Wang, Dong Ni, Yi Wang

The Transformer structures have been widely used in computer vision and have recently made an impact in the area of medical image registration. However, the use of Transformer in m…