4 papers
FMIR, a foundation model-based Image Registration Framework for Robust Image Registration
Fengting Zhang, Yue He, Qinghao Liu +3
Deep learning has revolutionized medical image registration by achieving unprecedented speeds, yet its clinical application is hindered by a limited ability to generalize beyond th…
Reg-TTR, Test-Time Refinement for Fast, Robust and Accurate Image Registration
Lin Chen, Yue He, Fengting Zhang +4
Traditional image registration methods are robust but slow due to their iterative nature. While deep learning has accelerated inference, it often struggles with domain shifts. Emer…
Ideal Registration? Segmentation is All You Need
Xiang Chen, Fengting Zhang, Qinghao Liu +4
Deep learning has revolutionized image registration by its ability to handle diverse tasks while achieving significant speed advantages over conventional approaches. Current approa…
Reconsider the Template Mesh in Deep Learning-based Mesh Reconstruction
Fengting Zhang, Boxu Liang, Qinghao Liu +3
Mesh reconstruction is a cornerstone process across various applications, including in-silico trials, digital twins, surgical planning, and navigation. Recent advancements in deep…