223 citations · 258 across the 7 of their papers we have counts for
5 papers · 1 filter
Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations
Chen Qin, Bibo Shi, Rui Liao +3
We propose a fully unsupervised multi-modal deformable image registration method (UMDIR), which does not require any ground truth deformation fields or any aligned multi-modal imag…
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
Yue Zhang, Shun Miao, Tommaso Mansi +1
Automatic parsing of anatomical objects in X-ray images is critical to many clinical applications in particular towards image-guided invention and workflow automation. Existing dee…
Dilated FCN for Multi-Agent 2D/3D Medical Image Registration
Shun Miao, Sebastien Piat, Peter Fischer +4
2D/3D image registration to align a 3D volume and 2D X-ray images is a challenging problem due to its ill-posed nature and various artifacts presented in 2D X-ray images. In this p…
An Artificial Agent for Robust Image Registration
Rui Liao, Shun Miao, Pierre de Tournemire +4
3-D image registration, which involves aligning two or more images, is a critical step in a variety of medical applications from diagnosis to therapy. Image registration is commonl…
Real-time 2D/3D Registration via CNN Regression
Shun Miao, Z. Jane Wang, Rui Liao
In this paper, we present a Convolutional Neural Network (CNN) regression approach for real-time 2-D/3-D registration. Different from optimization-based methods, which iteratively…