most citedModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image Registration

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

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…

eess.IV2024

Contextual Embedding Learning to Enhance 2D Networks for Volumetric Image Segmentation

Zhuoyuan Wang, Dong Sun, Xiangyun Zeng +2

The segmentation of organs in volumetric medical images plays an important role in computer-aided diagnosis and treatment/surgery planning. Conventional 2D convolutional neural net…

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…