798 citations · 947 across the 5 of their papers we have counts for
5 papers
Unsupervised learning of spatially varying regularization for diffeomorphic image registration
Junyu Chen, Shuwen Wei, Yihao Liu +5
Spatially varying regularization accommodates the deformation variations that may be necessary for different anatomical regions during deformable image registration. Historically,…
Deformable Cross-Attention Transformer for Medical Image Registration
Junyu Chen, Yihao Liu, Yufan He +1
Transformers have recently shown promise for medical image applications, leading to an increasing interest in developing such models for medical image registration. Recent advancem…
Spatially-varying Regularization with Conditional Transformer for Unsupervised Image Registration
Junyu Chen, Yihao Liu, Yufan He +1
In the past, optimization-based registration models have used spatially-varying regularization to account for deformation variations in different image regions. However, deep learn…
TransMorph: Transformer for unsupervised medical image registration
Junyu Chen, Eric C. Frey, Yufan He +3
In the last decade, convolutional neural networks (ConvNets) have been a major focus of research in medical image analysis. However, the performances of ConvNets may be limited by…
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration
Junyu Chen, Yufan He, Eric C. Frey +2
In the last decade, convolutional neural networks (ConvNets) have dominated and achieved state-of-the-art performances in a variety of medical imaging applications. However, the pe…