32 citations · 96 across the 11 of their papers we have counts for
11 papers
MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction
Zhangxing Bian, Shuwen Wei, Yihao Liu +6
Tagged magnetic resonance imaging (tMRI) has been employed for decades to measure the motion of tissue undergoing deformation. However, registration-based motion estimation from tM…
A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond
Junyu Chen, Yihao Liu, Shuwen Wei +5
Deep learning technologies have dramatically reshaped the field of medical image registration over the past decade. The initial developments, such as regression-based and U-Net-bas…
Learning to Evaluate the Artness of AI-generated Images
Junyu Chen, Jie An, Hanjia Lyu +2
Assessing the artness of AI-generated images continues to be a challenge within the realm of image generation. Most existing metrics cannot be used to perform instance-level and re…
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…
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images
Gary Y. Li, Junyu Chen, Se-In Jang +2
Radiotherapy (RT) combined with cetuximab is the standard treatment for patients with inoperable head and neck cancers. Segmentation of head and neck (H&N) tumors is a prerequisite…